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How To Use AI To build Trading Bots (2026 Masterclass) — Transcript

by Moon Dev · 38,994 words · 5,487 segments · language en · Watch on YouTube

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0:00I want to show you exactly how to
0:01automate your trading today step by
0:03step, but I got a lot of things to build
0:05at the same time. So, while I'm
0:07teaching, I'm also going to be building
0:09and I think that's how we're going to do
0:10it from here on out because I get so
0:13many people asking, "Teach this, teach
0:14this, teach this, tell me how to do
0:16this." And I obviously can't be a
0:17full-time teacher. I'm chasing Jim
0:19Simons. So, um, I won't do that, but I
0:22will try to sprinkle in some teachings
0:24throughout the day. GM777, good to see
0:27you. Lee, good to see you. None.
0:30Good to see you, Ken. Good to see you,
0:32Nicholas. Let's get it. Let's get it.
0:34Let's get it. Pel, good to see you.
0:36Let's get it. All right, let's lock in.
0:39[clears throat]
0:40I've been setting up this stream team.
0:42So, I I'm sure you've seen this floating
0:44around here at
0:45mundave.comfundingfunding.
0:50Essentially, I put this offer out the
0:52other day of giving people up to $1,000
0:54in funding with 40x leverage on
0:56Hyperlquid. uh you would get access to
0:58the API key and the quant app as well.
1:02But I've been spending the last couple
1:03days trying to get that system together.
1:06And boy oh boy, it's fun. And we are
1:08getting a lot of great new people that
1:10are going to be using the Quan app live
1:12here on YouTube. Um it is a little bit
1:15more work than just locking in each day
1:17and coding for me. So I spent a couple
1:19days getting that system ready. It is
1:21ready to go and now I can bring on
1:24anybody who does want to take me up on
1:26this offer. No evaluation fees, no
1:28profit splits. You keep 100% of your
1:30profits. Just stream your trades live
1:33with Quant app. You could go to
1:34moonab.com/funding if you want to learn
1:36more about that. But today is about
1:38teaching you step by step how to
1:40automate your trading. But not only
1:41that, I have a fat list of things I got
1:44to do as well. So much love to you guys.
1:47Thank you for locking in. I will keep
1:49letting people in here throughout the
1:50day. I was just laying for a couple more
1:53people to get in here, but um I'm going
1:55to leave it on you guys to pass the keys
1:57to them. Okay, so each day I'm giving
2:00out or at least for today. I don't know
2:02if tomorrow I'll give out a free API
2:04key, but today we are going to give the
2:06free API key to the Hyperlquid data
2:08layer, which I will go through here in
2:10just a second. Um I'll leave it on you
2:12guys in order to pass this around to the
2:15people that come into the Zoom as I
2:17won't be looking at this the entire
2:18time, but let's go ahead and start
2:20there.
2:21How about that? Let's start there. Yeah.
2:24Yeah, that's a good idea. That's a good
2:26idea. So, let's go to mundav.com
2:30slashdoccks here. Okay. So, it's
2:33important to have this data, right? It's
2:35important to have a data edge. As an
2:37algorithmic trader, as an algorithmic
2:40trader, it's important to have a data
2:41edge. So, what I did is I'm trading on
2:43Hyperlid. So, Hyperlid is a open
2:46blockchain. So, what you can do if you
2:48want a competitive advantage is launch a
2:50node. It was super hard to set up. It
2:52took a long time. Uh, but I set it all
2:54up for everybody in the community. So, I
2:56just dropped an API key inside of the
2:59Zoom chat. I do all of my uh Zoom all of
3:02my streams now private because there are
3:04ops that are watching and I want to make
3:06sure these private Zooms are so good
3:08that I added a private data layer. This
3:11is Hyperlid's data layer. Nobody else
3:14has this information. You can see on
3:16moonab.comdoccks
3:18all of the things we can call here. But
3:20what I want to do is I want to go
3:21through some of the examples right now
3:23because there's so many great ideas.
3:25Every time I look at this, I get great
3:27ideas of what I can build based off of
3:29this data. Remember, as an algorithmic
3:31trader, you're always trying to get an
3:33edge. And one of the best edges you can
3:35get is have data that others don't have.
3:38Okay? I can see all the stocks here on
3:40Hyperlid. So HIP3 liquidations in the
3:43last 24 hours. That's a beast call.
3:46Liquidations by asset class. Here you
3:49can see copper, silver, palunteer,
3:51Google coin, euro, jpy. So hyperlquid
3:55now allows us to trade stocks and forex
3:57and futures. That's crazy.
4:01But nobody else has this data except you
4:03guys in the chat. So much love to you.
4:06So again, long liquidations, short
4:08liquidations. Let's see what else we can
4:10get here in the examples folder. Let's
4:12say market data here. Okay, again this
4:14is HIP3 data. So if you know Hyperlquid,
4:17you know it's a crypto exchange, right?
4:18But they're entering other markets. So
4:20you can see Apple, AMD, Baba, Coin,
4:23Cost, Google. Is that Costco? Is this
4:26Costco? Holy dude. And the thing is is
4:29I'm collecting each and every data tick.
4:32So that means I have open, high, low,
4:34closed volume data. Now in crypto where
4:36others don't have this. Do you get it?
4:39You want to build an edge, you got to
4:41have data that other people don't have.
4:43If you're in the Zoom, you have data
4:44that nobody else has. Nobody else is
4:46going to go through what I did in order
4:48to build this node out and then build
4:51all these endpoints. They can't even
4:52think of the ideas because they haven't
4:54been in the game for five years. I'm not
4:56the best in the world, but sure I'm
4:57chasing the best. Jim Simons 31Bs, bro.
5:01So he ran up a 31B net worth. So I'm
5:03going to show you everything here today.
5:05Okay. So you can see this is another API
5:07call. This is the HIP3 dashboard. I want
5:10to go ahead and open up that uh GitHub
5:13here. Let's see if I can pull it up
5:14here. Um
5:16okay, I think this is it. I'm going to
5:18be using um
5:21I'm going to be using Claude all day.
5:23All day, dude. So let's go ahead and say
5:25code dot. You can see I have three
5:27different clouds open. And the reason I
5:30use Claude is because there's nobody
5:32that can code faster than her and nobody
5:34in this world knows more than her. So
5:36what's cool is there's actually a open
5:38GitHub as well. If you go to the GitHub,
5:40you can see all the examples of this
5:42edge I'm trying to give you, the
5:43hyperlquid data layer edge. Uh if you go
5:45to the examples, you can see all of the
5:47different things we can call
5:48liquidations, positions, see all the
5:51whales, see all the events, see the
5:53contracts, see the ticks, the order
5:55flow, the trades, the smart money, the
5:56user positions, user fills. I want to
5:59get all of these set up real quick so I
6:01have them all on the screen and I can
6:04run them at any time because I think
6:06this is extremely powerful for idea
6:08generation. Let's start there. Actually,
6:10I just dropped the road map into the
6:12chat. So, I want to show you how to
6:14automate your trading um even if you
6:16don't know how to code. And you can see
6:17how can I do that? Well, number one, I
6:21have a a system. And today I will show
6:23you how to ethically find million-dollar
6:26trading bots that literally your
6:27competitors just feed you, dude. They
6:29just feed you because I have a system
6:31that I'm going to go over right now. And
6:32I already dropped it in the chat. Let me
6:33drop it in the chat one more time, the
6:35full road map because that explains my
6:38system. So, I want to get to that really
6:40quickly so you have access to it. Let's
6:43go ahead and explain that system. So
6:45there should be a link in the chat and
6:47it's coming into the chat now. This is
6:48Zoom chat only. If you get in before the
6:51end, yes, you get access to all of this
6:53here. So mundave.com, you get the key
6:56and the everything. Okay. So what I want
6:58to go here is I want to go to that road
7:00map I just dropped in the chat because
7:03this explains the system.
7:06Again, I want to be able to show you how
7:07to automate your trading while I still
7:09get all of my things done I need for the
7:11day. Okay, so the RBI system, this is on
7:14the road map and it's my actual system I
7:16follow. And the reason I wanted to
7:17explain it now is because I'm getting
7:19into it. You can see I'm pulling all
7:20these data sources and you're like,
7:22Moon, what are you doing with all this
7:23data, dude? Why are you such a data dog?
7:25I'm a data dog because I know how to get
7:26an edge in crypto. Come on, B. Let's get
7:28it.
7:31>> If you don't have discipline, you ain't
7:32nobody,
7:33>> right?
7:34>> Nothing about discipline because you
7:36give up on the slightest struggle
7:37without discipline.
7:38>> 100%. with discipline. Doing what you
7:40hate to do,
7:41>> but do it like you love it.
7:43>> Doing what you hate to do, but do it
7:45like you love it. That's that is a great
7:47quote.
7:48>> And [clears throat] if you can do that,
7:50you could be successful in anything.
7:51>> Well, you normally are.
7:52>> You normally are. So, right here, this
7:54is the system I've created after five
7:56years of attacking this industry
7:58viciously. I used to be the hand trader
8:01that would stare at the charts all day,
8:03use way too much leverage, waste all of
8:05my time, lose time with my friends and
8:08my family. Dude, we all got into trading
8:10so we could have more time, right? Of
8:13course. Yes. Yes. Yes.
8:17So, that's why I made my trading. It
8:19just wasn't working out for me. Getting
8:20liquidated, using too much leverage.
8:22Okay. I met somebody that is trading a
8:23billion dollars a day. How do I do that?
8:24Oh, I have to learn how to code. Okay.
8:26But after you learn how to code, it's
8:27not just that. You have to figure out
8:28how to automate your trading. So, I
8:30built a system that I follow
8:31meticulously every single day. If you
8:33see me live, I'm following it. If you
8:35don't see me, you know I'm following it,
8:37dude. Every day. The process of
8:38automating your trading starts with
8:40research of trading strategies. So,
8:44researching of trading strategies. How
8:45do you find trading strategies? Research
8:48of strategies so you can find ideas that
8:50might work. Now, we got to drop the ego
8:52and know that all of our ideas aren't
8:54hush.
8:56most of our ideas are going to fail.
8:58Okay? So, you have to really step on the
9:01gas with the R. Remember the the system
9:03is RBI, research. It starts with
9:06research.
9:08So, what I'm doing here today is I'm
9:10going through my data layer, coming up
9:11with ideas based off of actual data that
9:13nobody else has. So, I'm already
9:16separating myself. You see that? You
9:18want to be looking at stuff that other
9:19people aren't looking at because you can
9:21find edges that others can't even
9:22imagine. So I'm always researching,
9:25researching, researching, finding new
9:26ideas. You can also read papers by PhDs
9:30on Google Scholar. Just go over to
9:32Google Scholar and you can see if I go
9:35to Google Scholar, these are literal
9:37literal PhDs or traders. You can say
9:41mean reversion strategy, trading
9:42strategy, whatever you want to put in
9:44here, and you'll find unlimited papers.
9:46Research, research, research. You want
9:48to constantly research, find new ideas,
9:50find things that you think might work.
9:52There's so many papers, okay? But this
9:54system is what I follow every day. So,
9:56please lock in, lock in. Read books,
9:58books, books. There's so many books out
10:00there. I have a book list down here that
10:02will show you how do you find unlimited
10:03ideas. Go ahead and take a screenshot of
10:05this book list right here. Read all of
10:06these books. Market wizards are
10:08absolutely fire. This is the best top
10:11traders in the world that are verified.
10:12Read those three, four books. Listen to
10:14them on Audible. I don't care. Chat with
10:16Traders podcast. There's 300 traders
10:18that are interviewed. so many books on
10:20this book list that you have access to
10:22it. Now remember, it starts with
10:23research. So you have to come up with a
10:24list of ideas. I've got a iPhone note
10:27sheet that is just full of ideas, ideas,
10:29ideas. I'm listening in the Uber, the
10:31podcast. I'm reading audio. I'm
10:33listening to Audible in the in the Uber.
10:35I'm walking to my dog. I'm listening to
10:36Audible. I'm listening to podcast. Come
10:38on, dude. There's so many ideas out
10:40there. It's on you to find the ones that
10:42work. So you go ahead and you find ideas
10:45from papers, books, YouTube videos,
10:47podcasts, etc. Make a backlog of those
10:50ideas.
10:52A backlog of those ideas. That will get
10:54you into the game. You'll have 10, 20,
10:5630 different ideas. You want to see if
10:59they actually work in the past. Well,
11:01remember, drop the ego. Not all the
11:02ideas are good. Actually, most of them
11:04are bad. So, the first thing you got to
11:06do after you find a bunch of ideas, you
11:08got to back test those ideas. See if
11:10they actually work. So, here's the hint.
11:12Write this stuff down. Backtesting.
11:16Using Python. That's all you need to
11:18know. There's Back Trader, there's
11:19Vector BT, there's all these other back
11:21testers. Back testing.y is the one I
11:23use. And here's some actual code here
11:26that you can just screenshot or you can
11:28just you have the link to this. And this
11:31is a starter template that will help you
11:33back test. Back test is the process of
11:35seeing if your strategy works in the
11:37past. It's like having X-ray vision on
11:39the market, dude. So now you know how to
11:41research, you know how to back test. And
11:43then the final step, which I'm trying to
11:45hold you back from, is implement into a
11:48bot. You don't want to do that right
11:50away. What I did is I went and I I
11:52learned how to code, then I tried to
11:54automate it right away, and I didn't
11:55even see if it worked in the past. I
11:57just went and built a bot, and it lost a
11:58bunch of money. So, from my learnings, I
12:01can teach you better. So, I have a full
12:03system that I follow religiously now. I
12:05only build bots once I know they
12:07actually work in the past. Research,
12:08back test, and then implement. And
12:10you're really going to be incubating
12:12with small size, tiny size. So I'll go
12:14over some bots that I've launched in the
12:16last couple days with Stat Arb here.
12:18We'll go over those today and you'll see
12:20that I'm using tiny size because at the
12:22end of the day, there's no point of
12:24wasting money if the system doesn't
12:26actually work in the future because with
12:28the RBI system, you're researching,
12:30finding new finding new ideas, then
12:32you're back testing those ideas to see
12:34if they actually work in the past. And
12:36if they work in the past, they're much
12:38more likely to work in the future, but
12:40they're not guaranteed.
12:41So, you want to use small size in that
12:44bot. I'll show you how to build the bot.
12:45I'll show you how to back test. I'll
12:46show you all that good stuff here today.
12:48You already have the code to back test.
12:50You already have the book list. I've
12:52already given you the R and the B. But
12:53now, there's other ways to find ideas.
12:55Well, what are those other ways?
12:59I'm showing them here right now. Look at
13:01this. So, we have the data layer and you
13:04do have access to this if you go to that
13:06Hyperlquid data layer. I just went
13:08through on the the GitHub. You have
13:09access to all this code I'm about to run
13:11here. And what I'm going to do is I'm
13:13going to go ahead and copy path and run
13:16all of these. So, I can I can look
13:20through the data that others don't have.
13:22Remember, this is I'm I'm on year five,
13:25so you'll catch up if you're new. But at
13:27the end of the day, if I'm looking at
13:28data that others don't have, then my
13:30research, my R is even better, right? Or
13:35if you talk to somebody that has some
13:36idea that nobody else has, well, your R
13:39is better. You you have a better source
13:41of research, right? So, you can see I
13:43can see all the liquidations
13:45on Hyperlquid.
13:48Every single liquidation that happens,
13:50and why is this important? Through my
13:52years, I found that back testing
13:54liquidation data looks really, really
13:57good. So, I'm always researching, back
13:58testing, and implementing. And one of my
14:00back tests that I always see a lot of
14:02success with is liquidation data. So,
14:05now I have Hyperlid's actual liquidation
14:07data here. Okay. What else do we have?
14:09We can see everybody's positions.
14:12So, you have I'm sure you've thought
14:14about this before, like, "Hey, I I feel
14:17like I' I was stopped out or they're
14:19they're trying to find my positions."
14:21You're right, dude. You're right. We can
14:23see your ex actual positions at all
14:25times. I can see everybody's address.
14:27This guy is long $321,000
14:31position. This guy is long 1.1 million
14:34or 1 million position. He's 83% away
14:37from getting liquidated. This guy's 6%
14:40away from getting liquidated. This guy
14:42down here is in a short. He's down
14:44$154,000.
14:45So, this is the stuff Wall Street would
14:47never show you. Does this make sense?
14:49Wall Street and the exchanges, they can
14:51see your positions, dude. They can see
14:54your positions. I believe in you. Nobody
14:56else is going to tell you this stuff.
14:57It's us, you and I, verse Wall Street.
15:00Wall Street is so pissed at me that I
15:02had to pretty much take my whole YouTube
15:03channel down, dude. I had to stop
15:05showing this stuff live on YouTube. And
15:07now what I do is I just share it live in
15:09the Zooms because f Wall Street, dude.
15:11They can't stop me. They can't stop me
15:13on Zoom. I could show you everything
15:15every single day. I give you every
15:16single piece of data that they won't let
15:18you have. They don't want you to know
15:19that they can see everybody's positions.
15:22So if you felt like they could, you you
15:25they can, dude. They can because I can
15:29because I can see your positions through
15:31Hyperlid. Now, Hyperlquid is new, so
15:34it's not something that we've been able
15:35to do before in the past. And that's
15:37really good for the R, right? Because
15:39now I'm taking a different approach than
15:42everybody else.
15:45You see what I'm saying? I'm taking a
15:47different approach than everybody else.
15:51I'm going to put all the links in the
15:53chat. Feel free to share this with
15:54people that come in. Um, okay. So, what
15:56else can we get up here? because I want
15:58to go through and get all of this data
16:00here because again with researching you
16:02want to always be coming up with new
16:04ideas, new ideas. Let's say T for TFlow
16:06and then let's say Python and run it.
16:08Okay, so here you can see tracking the
16:10biggest players. So these are all the
16:12whale addresses. There's 19,000 whales
16:15here that are active. I have every
16:17single one of their addresses. So I can
16:19see every single one of their positions
16:21and you can too. I just showed you that
16:23here because this right here looks at
16:25everybody's positions. 19,000 wallets
16:28that are actually active on Hyperlquid
16:30right now. That's pretty powerful,
16:32right? So, all of this is already
16:34available. You have it in the chat. So,
16:36let's go ahead and go to the next one
16:38because I want to just get all of these
16:40going here. So, events here. This is
16:42interesting. We can look into all of the
16:44events that are happening on the
16:46Hyperlid blockchain. This is Hyperlid's
16:48data layer. I can see all the swaps. I
16:50can see all the approvals, increase
16:51liquidity, etc. There's so many ideas
16:54that can come from this contracts. Let's
16:55see all the contracts. Let's say copy
16:57path
16:59and then let's say Python. Let's get it.
17:01Okay. So, you can see these are all the
17:03contracts. So, there's probably some
17:04unique strategies you can do with this.
17:06Seeing everybody's contracts. Are you
17:08kidding me?
17:10This is so powerful. So, so powerful.
17:12And the cool thing is I'm not Wall
17:14Street, dude. I want you to win. I
17:16believe in you. I believe in you because
17:18I didn't believe in myself when I first
17:20got started until I met somebody. I met
17:23somebody that was trading a billion
17:24dollars a day. So,
17:26they said I could do it. So, why
17:28couldn't I? And then I sat on the path
17:30and now I have a system. Now I have a
17:33system. So, looks like we do get a
17:35little bit of error here. And what's
17:36great about this is I have the node
17:38right here. You can see there's a bit of
17:40an error on this API call. Can you check
17:42in to see what's going on here?
17:45So, since I am running the node, I can
17:47make updates like crazy, which is
17:49awesome. So let's go ahead and see order
17:51flow here. That was tick data.
17:53>> So it's it's what's called machine
17:55learning.
17:55>> This is Jim Simons.
17:56>> So you find
17:59things that are predictive. You might
18:02guess, oh, such and such should be
18:06predictive, might be predictive, and you
18:08test it out in the computer. Maybe it
18:09is, maybe it is. You test it out on long
18:13term historical data and uh price data
18:17and other things. And then you add to
18:19the system this if it if it works and if
18:22it doesn't you you throw it out. So
18:24there aren't elaborate equations at
18:27least not for
18:28>> there's nothing elaborate here and all
18:30the other quants wall street they want
18:32you to they want you to think that that
18:35you can't do this because you didn't go
18:36to Stanford or Harvard yada yada me
18:38neither dude I got held back in seventh
18:40grade. She sat me down she looked me in
18:42my eyes and she said I don't think
18:43you're going to make it around here. I
18:46said what? You're my home room teacher,
18:48dude.
18:50What do you mean I'm not going to make
18:51it around? I'm in seventh grade. She
18:53said, "The only way you're going to make
18:54around here is if we hold you back."
18:56Okay, let's run it back then. Seventh
18:58grade twice. Boom. Okay. Tell me I can't
19:00do seventh grade. You kidding me? Let's
19:01step on the gas then. Same [ __ ]
19:03do the same [ __ ] with Wall Street. Oh,
19:05you can't do this, you can't do that.
19:06These quants, big head qu, you can't do
19:09that because you don't have a degree.
19:10You haven't been in the industry for 10
19:12years. Okay. Yeah, let's get it. I've
19:14done it now. Now I got a system. Now I'm
19:17a threat because I'm showing everybody
19:19else that has ambition like me. They've
19:21been told they can't do things like me.
19:23Yeah, [ __ ] Wall Street. [ __ ] the quants.
19:25I'm gonna show you absolutely everything
19:27every day and I'm going to give you all
19:28of the access I have access to because
19:30your suspicions are correct. They don't
19:33want you to win. They want you to keep
19:35trading by hand. They want you to keep
19:37using leverage. They don't want you to
19:39know that you can see everybody's
19:40positions. They don't want you to have
19:41this data. [ __ ] them, dude. Let's get
19:44it. Let's get it.
19:46I believe in you, dude. I believe in you
19:48because I was also scared to learn how
19:50to code. I spent 10 years, 10 years
19:53in tech paying developers to build stuff
19:56for me.
19:59Paying hundreds of thousands of dollars
20:00because I was scared. I was scared to
20:03learn how to code. That's crazy. But now
20:06look, look at us. Now we had a problem.
20:07I had a problem. I had to automate my
20:09trading or else I was going to lose all
20:10my money. There's too many emotions that
20:12go behind trading, dude. You can see I
20:14can see all the tick data. That's
20:16insane. Let's go back here. I think I
20:18fixed it already.
20:21Okay, we get a little bit more of the
20:23data here, but there's still this little
20:25error. So, let's go ahead and fix it
20:26here. I've got my my node right here.
20:29So, as I said, you know, I'll try to
20:30teach you, but I also got a build. Still
20:33a little bug.
20:37The live prices look good, but now the
20:39recent tick data is down.
20:42So we have all the data saved on the
20:43node which is fire. Okay, let's keep
20:45going through these. You can see here
20:47this is the order flow. So you can see
20:49people's order flow which is crazy.
20:50Again, this is what the banks they don't
20:52want you to know about this. The Wall
20:54Street does not want you to know about
20:56this, dude. Okay, let's go ahead and see
20:58if we can see some more here. So we got
21:00order flow. What about trades? Copy path
21:03here. I want to get all of these set up
21:05because I think it's such powerful data
21:07to come up with ideas. is and remember
21:09it's research, research, research, then
21:11back test and then implement. Okay, I
21:13actually ran that one twice. So, let's
21:16go to smart money. So, watch all the
21:18smart money wallets as well.
21:20And then you can splice this data up
21:22however you feel is right, which is
21:25amazing. So, top 10 smart money
21:27performers, the best performers here.
21:29That's crazy. And then be able to get
21:31anybody's positions at any time here.
21:34This is another API call. These are all
21:36API calls. moon.com/doccks
21:38and you have access to this API. This is
21:40the stuff they don't want to show you
21:42because they're scared. They're scared,
21:44dude. Wall Street is scared. If too many
21:46people understand that you can do this
21:48from home, especially with Claude. Are
21:51you serious? We've got AI now, my guy.
21:53Let's get it. Let's get it, dude. Okay,
21:57so those are all user position. I can I
21:59can get user positions for anybody.
22:01Okay, let's see what else we can have.
22:03I'm going to get all these running here.
22:05So, this gets all the fills. So, can you
22:07imagine you're watching a a wallet
22:09that's maybe a whale that's a really
22:10good trader. You can see when they fill
22:12a trade or when they close a trade or
22:14when they get liquidated. These things
22:16you can't you weren't able to see before
22:18this and now you can see them, dude.
22:20Let's get it. Copy path HLP position.
22:22So, if you don't know about HLP, HLP is
22:26the market maker behind Hyperlid.
22:30And essentially what it
22:34we can see all their positions
22:37and they ran up a net worth of 183
22:40million from $1,000. So they started
22:43with $1,000 and we can see all their
22:45positions.
22:50We've been building like crazy on this
22:51API, so there are going to be a couple
22:53bugs here and there, but I'm able to fix
22:55them in real time, which is awesome.
22:57Okay, what about Binance liquidations?
22:59because I don't want to just see
23:00Hyperlquid stuff. I want to see Binance
23:02stuff as well.
23:04Boom.
23:08Can see all the recent Binance
23:09liquidations.
23:25Okay, let's see what else we can see.
23:27Because all of this data, if I look at
23:28it all day, I'm just going to come up
23:30with more and more ideas. Again,
23:31research, back test, implement,
23:33research, back, test, implement. I'm
23:35always researching new ideas. Then I'm
23:37back testing those ideas to see if they
23:38work in the past. If they work in the
23:40past, they might work in the future. You
23:42can see I get all liquidations now from
23:44Binance, OKX, Bybit, and Hyperliquid.
23:48This is crazy, dude. We just are heads
23:50down building for the last five years.
23:52And the cool thing is is if you're new
23:54here, you get all of that. You get all
23:57of the the knowledge that came from the
23:59last five years of testing, tweaking,
24:01spending a lot of money, it's a lot of
24:03time. You can see here, this is all the
24:055K buyers of Hype, Soul, XRP, and ETH.
24:08So, if you want to track certain numbers
24:11of amounts so far, copy path. Let's go
24:14ahead and see the depositors, top
24:16depositors on Hyperlid Python here. And
24:19I hope you're coming up with ideas based
24:20off of this slice. We got a little air
24:22here. Um,
24:27this one here. Let's go ahead. I think
24:29this is actually going to be fixed.
24:38This one might actually be fixed in
24:41inside of the layer right here. So, this
24:44is
24:46I think this is a bug on our side. Uh,
24:49but if it's a server side bug, let me
24:50know what the fix is and I'll fix it.
24:55So, we're just stepping on the gas,
24:56dude. We're stepping on the gas. So, HLP
24:58sentiment. Let's go ahead and check out
25:00that one. T Python run it. Okay. So, you
25:05can see the sentiment because remember
25:07HLP is the market maker that they they
25:09ran $1,000 to $180 million. You can go
25:12check it out in their vault, but it's
25:14essentially Hyperlid's trader that is
25:16trading against everybody and they're
25:18making a ton of money. And now we can
25:20kind of judge the sentiment based off of
25:22what their positions are, which is crazy
25:24stuff. So, we're in this deep, dude.
25:26We're in this deep. So, what else can we
25:28do? We can say HLP analytics. Okay,
25:30let's just keep going. And the cool
25:32thing is is if you get your hands on
25:33this data and you get inside the live
25:35Zooms, you can you can also be like,
25:37Moon, try to throw this in the in the
25:40API. Try to throw that So you can see I
25:42can see the liquidators, the market
25:44maker, the timing, the correlation.
25:46Okay, let's keep it going. Let's keep
25:48get all of these examples up because I
25:50think this is very helpful and then I
25:52can come back to it every single day. So
25:54let's go ahead saying T here, T for
25:56Tflow, Python here. Okay, so you can see
25:59there is Oh, we're rebooting the server
26:01right now. Yeah. Yeah. Okay. Okay. We're
26:03bashing. We're bashing. We're bashing.
26:06We're bashing. So you can see I'm
26:08working on the actual node as we speak.
26:11So, I'm always updating. Always
26:12updating. Always stepping on the gas.
26:14Let's get it. Let me go ahead and answer
26:17some questions here.
26:20This is how I solved that bug.
26:24Wow. Thank you.
26:27Thank you, Kelly.
26:29Vicky that says, "That's dope." Thank
26:31you. Thank you. Okay, let's go ahead
26:32here and um
26:35let's get the keys and stuff in the
26:37chat. If you get in before the end of
26:39the day, you do get the API key.
26:51You do get the API key.
26:57So, she's over here updating the uh
27:01the server. So, we'll take a second
27:03here. Uh let's go ahead and see if any
27:05of these others work while she's
27:06updating the server. for HIPP
27:08liquidations here. Copy path
27:10T. Okay. Python. Run it.
27:15Okay. So, we do get the liquidation data
27:17for the HL uh HIPP3 liquidations, which
27:20is far
27:22far.
27:24Okay. And then she says she's fixed it.
27:28Working. Working. All endpoints fixed.
27:31Let's go check those endpoints that were
27:32having a hard time because I think I
27:34didn't send her this one. Yes. Okay. So,
27:37let's go ahead here and say say this one
27:40here.
27:48Go ahead and fix this one as well.
27:51And let's see if there's another one. I
27:53think there's another one that had a
27:54little bit of an error somewhere. So,
27:55let's go ahead and fix it. Yes, it's
27:57this one. But I think she fixed this on
27:59the front end. And Kelly said something
28:00about this as well. So, he's seen it.
28:03Slicy slicy slicy crunch fixed API.
28:12Please go ahead and fix this as well. So
28:14while you add a hell of data from the
28:16node, it's just there's going to be
28:18things that break and this is coding for
28:19you. So welcome to the game. But the
28:22thing that I love about coding uh
28:24trading systems opposed to trading by
28:25hand is trading by hand, you're just
28:27sitting there wasting time. Don't run
28:29with the pack. If everyone is trying to
28:32solve the same problem, whole group of
28:34people, that's the latest and greatest
28:36thing to do.
28:38>> Don't do that.
28:39>> Don't do that.
28:39>> Do something original.
28:42>> Boy, that's Jim Simons again. He said,
28:44"Don't follow the pack." So, how do you
28:45not follow the pack? Well, everybody
28:47else is trading by hand, dude. Everybody
28:50else is getting absolutely smoked, bro.
28:52Okay, don't do that. Just don't do that
28:54and you're good. Why? Because when you
28:56trade by hand, you can't just work
28:57harder at it. I know you're ambitious,
28:59dude. I get it. But you can't just work
29:01harder and harder and think you're going
29:02to be better a trader. No, you can't.
29:04The more you trade, the less you have.
29:05But if you work harder and harder at
29:07building out systems, you're going to
29:08find more systems that work in the past.
29:10If they work in the past, they're much
29:11more likely to work in the future.
29:12Remember, research, access, implement,
29:14research, access, implement. [ __ ] Wall
29:17Street. [ __ ] the quants. You can do
29:19this, dude. I believe in you. Let's get
29:21it. Let's get it. Okay, so you can see
29:23all of HLP's positions now. the top
29:26seven, all seven strategies that they
29:28run. Again, they ran a net worth from
29:301,00 to 180 million, which is insane.
29:34That's insane, dude. That's insane.
29:35Let's see what else we can get going
29:37here before we cut this off and get out
29:39of the uh public chat. Let's say HIPP3
29:42liquidations. I believe I just did that
29:44one. Let's see. HIP3 licks. Yes. Okay.
29:50Market data here. Copy path.
29:53Let's go ahead and say TFlow Bro Python.
29:57Okay. Boom. Now we can see all of these
29:59symbols here on HIPP3. So, what's really
30:02cool about Hyperlquid so far is that,
30:04okay, we've been trading on Hyperlink
30:06for multiple years now. I've got bots
30:07for it. Okay, you've got all the code
30:09for it. Yes. Yes. Let's get it. But now
30:11we have stocks and we have some forex as
30:15well. So, we got Baba, we got Apple, we
30:18got coin, we got anthropic. So, this is
30:20pre-market stuff. Wow. Wow, dude. This
30:23is exciting. I mean, I I get excited
30:25every time I look at look at this, man.
30:28So, if you guys got more ideas here of
30:30what you want to see, I have direct
30:31access to the Hyperlquid node. I built
30:34my own node. It was hella hard to do. A
30:36lot of you watched me do it. It took a
30:38long time and I built out this API on
30:41top of it so we can all have access to
30:43things Wall Street would never want us
30:45to have access to. They would never want
30:47us to have access to this. Dude, they're
30:50pissed right now. They're giving me
30:51strikes on YouTube, all that good stuff,
30:54dude. Lock in. Jump into the Zooms every
30:56single day time you see me. Let's get
30:58it, dude.
31:01And by the way, if you get in before the
31:03end of this, you do get access to
31:07everything everybody's getting access
31:10to. So, you got the API, you got Quant
31:13app, you get the replay, you get
31:16everything, bro. And
31:20I'm only doing private streams from here
31:22on out because
31:24of the ops.
31:27The ops, dude. There's people that
31:29really do not like me and they want me
31:30to lose and they don't want me to share
31:32any of this. So, I'm not going to share
31:33it with people on the outside. If you're
31:35in the public, lock in. Jump in. All
31:37right. So, let's go ahead and answer a
31:40couple questions here.
31:44Nice. Kelly, you got it going. What's
31:46up, Felix? How are you? Let's get it.
31:49Let's get it. Felix, build an amazing
31:51system working with my agents today.
31:53Only took you 14 hours. Okay. Okay.
31:55Let's get it. Let's get it. Let's get
31:57it. Okay. So, I wanted to show you that
31:59all that hyperlquid stuff. Uh I do
32:02believe in you. I do think you can do
32:04anything, dude. The next thing I want to
32:06show here is
32:09can you automate trading on NQ?
32:11Absolutely, dude. Why not? I know a lot
32:14of people that trade NQ.
32:17I personally do not trade futures, but
32:20yes, of course, it's actually probably
32:22better. Not I don't want to say better,
32:24but it's less slippage and fees for
32:27sure. More liquid.
32:32You're right there, dude. You're right
32:34there. You guys are all right there. You
32:36found You found trading. you found
32:39trading, but you're using too much
32:40leverage and you're trading by hand,
32:41staring at the charts, not compounding
32:43your time, right?
32:46When you're trading by hand, yes, you
32:47might win some days, but you usually end
32:49up losing. Okay? So, if you lose, then
32:52you just wasted all that time. But if
32:54you would have spent those exact same
32:56hours on coding out systems,
33:00then wouldn't your time be compounding?
33:03Yes. You just have to figure out how to
33:05automate your trading now. And I'm going
33:07to try to show you everything here
33:08today. I've already given you the road
33:09map so you can do a little self-s serve
33:11here. You can do a little bit of self-s
33:13serve.
33:20The road map should walk you through how
33:22to automate your trading, but I want to
33:24make sure to dive deep and show
33:26everything here.
33:28Let's keep getting these things fixed
33:29here. Couple of these API calls are
33:32obviously
33:34breaking,
33:36but we'll have it smooth here. This is
33:37brand new. Brand new stuff.
33:43All you got to do is replace what's not
33:44working, dude. And if you're trading by
33:46hand right now and it's not working,
33:48just stop trading. Literally, if if I
33:51can convince you on automating your
33:52trading, you literally become more
33:54profitable day one. Why? Because
33:56yesterday you may have been trading by
33:58hand and lost money and the day before
33:59trading by hand, lost money. But more
34:01importantly, you lost time, dude. You
34:03lost time. You don't get that time back.
34:06You don't get that time back, dude.
34:11And people look at you like you're crazy
34:13right now. Let's admit it. Hey. Hey,
34:16bro. No. For real. For real.
34:20For real, dude. Let's be serious for
34:23half a second.
34:25Let's lock in. Let's lock in and just
34:27seriously talk about this.
34:31Hey, bro. What do you do? I'm a trader.
34:36Inside their head, they look at you
34:38like, "Oh god, he's a DJ. He's broke."
34:42Because all traders are just gamblers.
34:44And we know this. And you can look at
34:46your past stats by trading by hand and
34:48you know that it's just gambling.
34:51And it's a it's a net loss of time.
34:55because you might spend eight hours
34:56staring at those charts and lose.
34:59But me, I spend eight hours coding my
35:02systems, seeing if things work in the
35:04past, building out bots. I win every
35:06single day. And all it took was a shift
35:09from, hey, I'm a trader and everybody
35:11looks at me like a gambler to I'm a
35:13quant.
35:15So right now, dude, starting now, you
35:17are a quant. Don't let anybody tell you
35:19anything else. Step away from the hand
35:21charge. You can get plenty of exposure
35:22with bots. They'll execute without
35:24emotions.
35:27And for the rest of the rest of your
35:29life, you don't ever have to be
35:30embarrassed to be like, uh uhuh, I'm a
35:32tra I'm a tra I'm a trader. I swear I'm
35:35not a gambler. I'm not a gambler. You
35:37have to do this quantitatively or just
35:38stop trading. Please, if you stop
35:40trading, that's a huge win. If you
35:41become a quant, that's a huge win as
35:43well because you will never trade by
35:45hand again because you'll actually see
35:46the data and you're a data dog. You see,
35:49the data in the past shows you the
35:51strategy actually work or the strategies
35:53actually trash. But the thing is is most
35:55of us are trading strategies by hand
35:56that are trash.
35:58They're trash, dude. Trash strategies by
36:01hand. So, not only are they bad
36:03strategies,
36:05but the execution is going to be poor
36:07because you're going to get tired.
36:08You're going to get on tilt. You're
36:09going to use too much leverage. You're
36:10going to overtrade. You're going to use
36:12market orders instead of limit orders.
36:13Dude, the crazy thing is the craziest
36:17thing is, dude, even if you're a perfect
36:19trader, let's go to mundave.com/
36:22Even if you're a perfect trader, you
36:25still will lose all of your money just
36:28because you're trading by hand. Look at
36:29this. So, if your account size is
36:31$25,000
36:34and you use 40x leverage and you trade
36:38five times per day just based off of
36:41fees, this is not accounting for this is
36:44not accounting for bad trades or good
36:46trades. This is just based off of fees.
36:51You will blow up in 31 days. And most
36:53people don't know this. Most people
36:55don't know that they're walking into the
36:56Apple store and saying, "Hey, I want to
36:58buy the iPhone right now and they the
37:00the lady's like, "Yeah, you can buy it
37:02right now, but it's going to cost you
37:03$3,000." But if you wait five seconds,
37:07it's going to cost you $1,000. That's
37:08what you're doing every single time you
37:10take a market order. And you're trading
37:12by hand. So, you are going to use market
37:13orders. We're just not patient. We're
37:14not We're humans. We're humans. So, if
37:17your account size is $25,000, 40x
37:19leverage, five trades a day, you lose
37:21just by fees in 31 days. But if you had
37:25a bot that was patient, you would extend
37:28your life 717 days. That's not even
37:30talking about all the profitable
37:31strategies you're going to be able to
37:33find because you have my exact system,
37:35which is crazy, dude. And you have data
37:38that nobody else has. So, does that make
37:39sense? traders usually, even good
37:43traders are still going to lose because
37:44they're paying three times the price and
37:47fees. Three times.
37:50Three times, dude. Three times.
37:53That's insane, man.
37:56So, what I want to do right now is I
37:58want to go ahead and I think I already
38:01showed you a couple of the good places
38:03to find
38:05some good strategies. So, I won't go
38:06over that because I do have a lot to get
38:08done as well. I do want to do a little
38:11overview of the changes that have been
38:13made in Claude, at least my workflow.
38:16So, a lot of people have been asking to
38:18see my updated workflow with Claude. And
38:21I'm just going to do that real quick
38:22because I think it's very important that
38:24every I don't know six months or so, I
38:26do a little overview of where I've gone
38:28with Claude and where where we're going
38:29to go and
38:31essentially just AI because it might be
38:34something different in the future. But
38:36let's go ahead and move all this off the
38:38screen here. Okay, let's go here to
38:41there. Okay, so
38:43>> don't waste it living someone else's
38:46life. Don't be trapped by dogma, which
38:49is living with the results of other
38:50people's thinking. Don't let the noise
38:53of others opinions drown out your own
38:55inner voice. And most important, have
38:58the courage to follow your heart and
38:59intuition. They somehow already know
39:02what you truly want to become.
39:05Everything else is secondary.
39:09Stay hungry. Stay foolish.
39:13>> All right. As it's 2026 now and a lot
39:15has changed in AI, I want to go ahead
39:17and do a quick little overview so you
39:19just get a ton of value of how I'm using
39:21AI these days, what I'm using, what my
39:23path was, why I choose the AI I'm using
39:26versus the AI I used to use, etc., etc.
39:29Okay. back in 2023
39:31um when chat GPT dropped, I had a
39:34mind-blowing experience as you did,
39:36right? You type in a question and they
39:37answer your question and it's fire.
39:40Okay, that's awesome. Immediately, I
39:42started using chat GBT in order to code
39:44the entire time and I do this live on
39:46YouTube. So, you can imagine Gilfoil and
39:48his gang just like roasting me, roasting
39:51me, roasting me for two years, dude. Oh,
39:54he's just an AI coder. AI coder. But
39:56it's funny now we're in 2026 and all the
39:59other big head quants out there, they're
40:00like, "Have you heard of Have you heard
40:02of Claude Code? Have you heard of AI
40:03coding for you?" So they eventually will
40:06catch up. First they laugh, first they
40:07first they make fun of you, etc. yada
40:09yada. Okay, so where are we now in 2026?
40:12And how am I using AI? Okay, so the path
40:14was chatpt and then people started to
40:17convince me on cloud. I I didn't use
40:19cloud desktop too much. Okay, then
40:22eventually there was this new, you know,
40:24visual studio studio code, right? Okay,
40:26Visual Studio Code is where we code
40:28things here. Um, and essentially there's
40:32this company called Cursor that forked
40:34it and for about six months I was
40:36obsessed with Cursor and I still use
40:38Cursor because it's just a fork of
40:40Visual Studio Code. But you can see here
40:42in Cursor you can switch to be to use
40:45any model. So, this is pretty enticing
40:47because if you're new to using AI, uh,
40:50switching from Visual Studio Code to
40:52cursor is a big jump because now it's
40:54Visual Studio Code with AI in it and it
40:58has pretty much all AIS. So, my personal
41:02trippy kit that I use for AI coding, I
41:05still use cursor, but I actually don't
41:08use the AI inside cursor anymore. But I
41:11wanted to explain the path because I
41:13think it's important to have cursor over
41:15Visual Studio Code for the reason of
41:18this. Like, hey, if the model I'm about
41:20to show you breaks down or if I can't
41:22use AI the way I do now, I can always
41:25jump back in here and I have Opus, I
41:27have Sonet, I have GBT 5.2, and it might
41:30be GBT8 by the time you're watching
41:32this. I got Grock, I got Sonet. So this
41:34is nice because I can just type anything
41:37here and just work with the AI like hey
41:39can you give me an overview of my
41:41examples folder and exactly what it is.
41:43So it's really nice because when I got
41:45started with visual visual studio code
41:47you know it's intimidating. So now if
41:49you're just getting started with coding
41:51you can go ahead and ask anything inside
41:53of cursor. It says, "Your examples
41:55folder contains a collection of Python
41:57scripts acting as detailed functional
41:59examples of how to interact, analyze, or
42:01pull specific kinds of data via your
42:03Hyperlquid data layer API and/or
42:06relevant onchain exchange data." Okay,
42:09so I could say something like, can you
42:11code me out a new file, call it 23
42:1623 all functions, and just put all the
42:19functions into that new file? And then I
42:22could say something like, okay, well,
42:23let me use uh I don't know, whichever
42:27one you want to use. Sonet 4, Opus 4.5.
42:31Again, these are going to change
42:32whenever whenever there's new things. So
42:34that's why what I really like about
42:36cursor. It's builtin and it works
42:38directly. So if you're just getting
42:40started with coding, I think cursor is
42:43the way to go. The next thing I'm going
42:45to show you is much more advanced. And
42:46for me, God, I was scared of the
42:48terminal. The terminal is this. This is
42:51the terminal. And this is so ugly. If
42:54you're brand new to coding, I get that.
42:56So, I it took me a long time to get
42:58here. I wanted to show you the full path
43:00so you can use these tools however you'd
43:02like. Okay, Chad TBT. You have that on
43:04desktop. You have Claude on desktop. You
43:05have Grock on desktop.
43:08You've got um Gemini. All these are
43:11websites you can go use, right? But the
43:13thing with that is you're copy and
43:15pasting code. So depending on your level
43:17or how hard the project is, it gets
43:19confusing. I got to go over to the web
43:22interface and then plug it in and then
43:24try to see where the bug is and plug it
43:25in. So having your AI inside of your
43:30Visual Studio Code with cursor, it's
43:32nice because look, it just said 23 all
43:34functions and I can say keep all and
43:36boom. So it it just depends on where you
43:38are in the process of coding. If you're
43:40comfortable with terminal though, which
43:43is this, then I'll show you what I'm
43:45actually using all day every day. So,
43:48you could, you just saw, you know,
43:49download Cursor if you'd like that. You
43:51can I have it for free. I'm not even
43:53paying for it. There's a $20 plan if you
43:55really want to get deeper into it. I
43:57think it's a good place if you're new at
43:58coding, use cursor. And then once you
44:00get used to the terminal, there's
44:01something called Claude Code. And the
44:03way I look at cla code, you know, claude
44:05anthropic. The way I look at cloud code,
44:07and I know a lot of people are going to
44:08hate this analogy, but it's like Apple,
44:11Apple and the iPhone, iPhone's so good
44:14because they're hardware and software is
44:18built by the same company. So, there's
44:22just things you can do on Apple you
44:24can't do on Android. And I know you can
44:26put your like janky stuff together. And
44:29that's why people like Android is
44:30because there's so much custom customiz
44:32You can customize it so much, but at the
44:34end of the day, you have Google building
44:38an operating system and then you have a
44:40ton of different companies building the
44:41hardware. The integration's just not as
44:44good. So my thesis with cloud code,
44:46which is what I use all day, you can see
44:48three different cloud codes here,
44:51is that's why it's better is because
44:52they're building the model, the AI
44:54model, the best coding model. By the
44:56way, even if you're using cursor, I
44:58would focus on Sonet and Opus.
45:02they have the best coding model plus
45:06they built the agentic framework to it.
45:09So that's why I'm all in with claude
45:11code and I want to do a little master
45:13class just really quickly of how I use
45:14cloud code. Um again it's super uh it's
45:18intimidating I guess with the terminal
45:19but you'll get used to it. You'll get
45:21used to it and I don't even use Visual
45:23Studio Code like that anymore. So, you
45:25know why I use cursor verse uh cloud
45:27code now, but what I want to show you
45:29before I even get started with this is a
45:31hack that you can you can use this for
45:34any AI you use. It's called whisper
45:36flow. So, wispr
45:40and it allows me to just say,
45:43"Hey, can you go ahead and
45:48code me a back test using those
45:50liquidation datas?" And essentially, I
45:53want you to wait for a $5 million
45:56liquidation
45:58and then long it. But I also want you to
46:01create another back test that does the
46:03exact opposite. So create two new back
46:05tests for me. And when you're done, go
46:08ahead and just Yeah, print out the
46:11stats. So did you see that? I didn't
46:13type. And for me, when I first got
46:15started coding, I didn't know how to
46:17type, dude. I was typing at like 30
46:19words per minute. So, I did this like
46:22type racer thing because I knew, hey, if
46:24I have if I have to learn how to code,
46:26automate my trading, I need to learn how
46:28to type because I need to watch these
46:29videos. I need to watch people's videos
46:31that are essentially showing me how to
46:33code. So, it's not this one that I use,
46:35but it's one of these, you know, type
46:37racer or something. Uh, I tried to get
46:39really good at typing before I learned
46:40to code so I could have my iPad running
46:42and watching the videos of somebody
46:44teaching me how to code and type out
46:46every single word because I believe that
46:48your fingers are going to learn how to
46:49code before you learn how to code. Okay,
46:51so boom. Okay, I got my typing speed
46:54from pecking at like 25 30 words per
46:56minute to like 70 words per minute. But
47:00eventually, Whisper Flow dropped. And
47:03this is not a plug. It's just what I use
47:05and people ask me every single day.
47:07Whisperflow.ai.
47:10So, I got my typing speed up to 70 words
47:12per minute. I don't have to look at the
47:14keyboard anymore. But then, Whisper Flow
47:15dropped and now I'm at 152 words per
47:18minute. So, I doubled again. Why is that
47:20alpha? Because if you can type faster,
47:22you can test more. If you can test more,
47:24you're going to find more things that
47:25work in the past. If they work in the
47:26past, they might work in the future.
47:28Research, back test, implement all day,
47:30dude. All day. I'm always researching.
47:32I'm always back testing. I'm always
47:34implementing. So now you know how I work
47:36with Claude code. I'm just I'm talking
47:39to her. I'm talking to her and you can
47:40see she's going here and she's just
47:42coding for me, which is so so sick. So
47:46so sick.
47:48And you can have multiple of them open.
47:50This is the important part for me. So I
47:52can have one project up here. You can
47:54see she just built out two different
47:56back tests for me. Remember, research,
47:58back test, implement. And the crazy
47:59thing about her building these back
48:00tests for me, dude, is this process
48:03right here used to take me like eight
48:05hours. So now I literally just tell
48:07Cloud Code, boom, boom, go ahead and
48:09build this for me. And then she builds
48:10it.
48:12Code's done.
48:14Tested the back test.
48:16Trash strategy, but tested the back
48:18test. Crazy. So that process of
48:21researching and back testing used to
48:22take me at least eight hours.
48:25Okay, this is a profitable one. It
48:27obviously needs some tweaking, but it's
48:28a profitable back test. Isn't that
48:31mind-blowing, dude? Because now
48:33something that took me eight hours, I
48:35just did twice while I'm teaching you
48:37how to do this. So, that's why Whisper
48:41Flow is important. That's why Claude
48:42Code is important because I can be
48:44working on this project up here while I
48:46go down here and I use Whisper Flow
48:48again and I can work on this project
48:50down here. You see what I'm saying? And
48:52then I could go over here in my
48:54hyperlquid data layer. I can say
48:55something to her over here. So that's
48:58why it's so so powerful to have this. Um
49:02let's go ahead and show you another
49:04thing that I want to just give you all
49:05the tips here in 2026 that I'm coming
49:07across and using each day when it comes
49:09to cla code and AI.
49:12>> You know, it's something that truly
49:13exists in all of us. It's very simple.
49:19This is what I believe
49:21and I'm willing to die for it.
49:25>> [clears throat]
49:26>> Okay. So, up here I'm going to do
49:27something using Whisper Flow. I'm going
49:29to say, can you launch five different
49:32agents to test five different back test
49:35ideas based off of this liquidation
49:38data,
49:39run them in parallel. So, what I just
49:42did there is I gave her instructions. I
49:45said, "Hey, let's use five agents." So,
49:48I can have five AIs run at the same time
49:51just by saying, "Hey, run five different
49:53agents." So, boom. That's a huge that's
49:55a huge unlock for me. So, I wanted to
49:57give it to you today. So, you can just
49:59tell her, "Hey, I want to use five
50:01agents or I want to use 10 agents or I
50:02want to use 20 agents. Hey, I've got
50:04this idea here. I want you to have each
50:06agent look at this idea in a different
50:09light. I've done this research. I've got
50:11all these trading ideas. Go ahead and
50:13have five agents look at them totally
50:14differently and then go ahead and build
50:16the back test." Boom. Okay. But that's
50:18not it. If you have if you have a big
50:21project, one of the things that I look
50:23at with Claude Code and all these AIs, I
50:25kind of look at them like slot machines,
50:27dude. You can see up here in the top
50:28right there's five agents back testing.
50:30One is doing long versus short, one is
50:31doing consecutive lick bars, one's doing
50:33lick mean reversion, one is doing lick
50:35plus RSI, one is doing lick cooldown
50:38strategy. I kind of look at these like
50:40slot machines. Um, I used to I used to
50:43build uh games and slot machines not not
50:46for money but like freeto play whatever.
50:49Um, and so I understand that world
50:51really well like near misses and um
50:54quick wins and these things that they
50:56engineer into this into slot machines to
50:59keep people spinning for over and over
51:02and over again. So this is one caution
51:04you got to be be aware of, dude, that
51:06they want you to keep using their
51:08service. They want you to keep using
51:10more AI. They want you to feel like,
51:12"Oh, I'm almost there. I'm almost
51:14there." So, one thing I've learned to
51:16fix that problem is your planning has to
51:20be really good. What I mean is, you saw
51:23me just throw two prompts up there and
51:24just say, "Go." You can do it that way,
51:27but there might be bugs at the end of
51:28the day. So, they're going to get you on
51:30that slot machine loop. They're going to
51:31get you keep playing, keep playing, keep
51:33playing, keep playing, and feeling like,
51:34"Oh, I'm almost there. Oh, it's a near
51:37miss. Oh, I'm almost there. Almost
51:38there. But in reality,
51:41we want our time is precious, right? We
51:43went from being hand traders, losing our
51:46time all day, staring at the charts.
51:48Okay, we've passed that. We quit trading
51:50by hand. Now we're focusing on research,
51:51back test, implement, research, back
51:53test, implement. That's great. But now
51:55we want to optimize optimize more and
51:56more because the thing with algo
51:58trading, dude, is it's all about
51:59optimization. It's all about getting an
52:01edge on somebody else. How do I get an
52:03edge on you? Well, I can use my AI
52:05better than you. How about that? I'm
52:07using five agents while you're just
52:08using one because you didn't know about
52:10that trick.
52:12But on top of that, I can plan better
52:14than you. So plan mode when you have a
52:17big project is it's goat. So how do you
52:20use it? So let's go ahead here to
52:22hyperlquid data layer. I want to go
52:24ahead and analyze all of our examples on
52:26the hyperlquid data layer that everybody
52:28has the API access to right now. And
52:32essentially, I want to go ahead and I
52:34want you to look at all of those
52:36different examples of the API calls that
52:38we can have. And I want you to do a deep
52:42dive of the top five
52:46best ideas we can come up with in order
52:50to build an autonomous system that can
52:53sit there
52:5524/7 and just run on loop
52:58to continuously find new ideas and new
53:02use cases with the ultimate goal to pull
53:04alpha as an algorithmic trader as Jim
53:06Simons would. and I want you to build
53:09out this system that I can just run at
53:12all times and it will just loop through
53:15and continuously find new ideas. Okay,
53:18so that was like a weird prompt. I it
53:20kind of random with that. Whatever the
53:22thing I want to show you here is if I
53:23had a huge project I want to do or I
53:25want to get started on a new idea. I've
53:27got a new back test. I've got a new
53:29thing, a bot I want to build. The key
53:31point to what I'm showing you here is I
53:33already showed you agents, but now I
53:35want to show you how to plan better than
53:36others. So, you hit shift tab before you
53:40go ahead and send in this prompt.
53:42Remember, they want you to they want you
53:44to use as many prompts as possible and
53:46keep going, keep going. But I want you
53:47to save time because time is edge. So,
53:50if you do this before you go ahead and
53:53you do any big prompts, you hit shift
53:55tab, shift tab, shift tab until it says
53:59plan mode. What she's going to do is
54:01she's going to plan this all out. And
54:03this has saved me so many hours of work
54:07because at the end of the day, remember,
54:09they want you to use it more and more
54:10and they'll get you close and maybe
54:12maybe that's all a theory. Okay, let's
54:14throw that out the window. The whole
54:15like slot machine theory, they want you
54:16to use it more. But at the end of the
54:18day, we're not all perfect
54:19communicators.
54:21So, our prompts aren't perfect. So, if
54:25they're not perfect, what's going to
54:26happen is you're going to go ahead and
54:28build something that has bugs in it or
54:30it's not quite right. And that's your
54:32time because it takes two three minutes
54:33to generate the first thing and then two
54:35three minutes to generate the next thing
54:36and then you got a bug or a thing was
54:38off whatever yada yada yada that's a lot
54:41of time. So plan mode by hitting shift
54:43tab shift tab shift tab a few times
54:46until it says plan mode here will save
54:48you so much time. And I wasn't using
54:50this for the first few months. So I
54:52wanted to make sure to get you that
54:53everything here in 2026 that is new in
54:56the last year or two. I want to show you
54:58exact my exact workflow for using cloud
55:01code. Okay, so there's another thing I
55:02want to show you. So she's going out and
55:04planning this out. What I want to show
55:06you here is a little dangerous. So use
55:08this at your own at your own risk. But
55:12it's called Claude. This is how you
55:15usually use Claude. I trust you can get
55:17Claude installed by the way. You can
55:19Google it, AI it, install it on your
55:21terminal if you want to. Usually you
55:23would say Claude, but in my mind I want
55:26to save time. So I say Claude dash
55:29dangerously skip her missions.
55:34And now this will run it autonomously.
55:36Meaning I give them a prompt. And you
55:38can see she's done. She ran five agents
55:40here. She has all the stats. She can see
55:4227% return, 10% return, 8% return, win
55:46rate 76%, 70%, 66%. Dude, the game has
55:50changed. And most of the quants are just
55:52waking up to AI and coding. This is your
55:54time. I believe in you. I believe in you
55:56because you're here using AI. You're
55:58locked in. Come on, let's get it. They
56:01don't want you to win. I want you to
56:02win. I want you to win, dude. I believe
56:05code's a great equalizer. This is an
56:06unlock for me. I didn't know that I
56:09could know how to code. I didn't know. I
56:10thought it was only for the super smart
56:12people. I got held back in seventh
56:13grade, dude.
56:16Claude d- dangerously skip permissions.
56:20This will run it in a way
56:24run robustness test. Okay, let's just do
56:25that. She gave me a example. This will
56:27run in a way that doesn't ask you to say
56:29yes or no. If you run it with claude
56:31regular, it will ask you yes or no. Yes
56:32or no. Okay, one more tip for this is
56:35run this prompt if you want it to just
56:36be C. Watch this. So, I don't even have
56:39to type in claude because this is a hell
56:40of a thing to write every time. How do
56:42you spell dangerously, etc., etc. I
56:44don't even type that in anymore. I just
56:45type in C.
56:48I just type in C and it and it gets it.
56:50I also do the same to activate Tflow. So
56:53I have a cond environment where I say
56:55cond activate Tflow and it's T. Well,
56:58here's a little trick of how to do that.
56:59Super simple to do. Tell her this
57:01prompt. Can you go ahead and make a
57:02shortcut prompt so whenever I type in C
57:05to the terminal, it actually activates
57:08this
57:11claude.
57:14dangerously
57:16skip permissions.
57:18So, I can ask her to set this up. So,
57:22when I type in C, it actually types in
57:25Claude dangerously skip permissions.
57:26Why? Because it's saving you more time.
57:28You can see this is using a back test
57:30architect as well. So, you can set up
57:32sub agents. You can ask Claude right
57:35now, hey, can you set up a sub agent
57:37that knows exactly how to back test?
57:39Well, how does it know how to back test?
57:40Well, I put that road map in the chat
57:42already. So, you have the road map and
57:44you could set up a sub agent saying,
57:47"Hey,
57:49here are all of the
57:53here's how to code a back test."
57:56Remember, here I gave you this already
57:57in the description. Here's how to code a
58:00back test. You could say, "Hey, Claude,
58:02set me up a sub agent
58:05that has this template." So anytime I
58:07ask you to create a back test, it will
58:09go to the back test architect. You can
58:11see I have a sub agent. These are sub
58:13agents that you can save and say, "Hey,
58:15boom, boom, boom. You know how to back
58:17test. You know how to research. You know
58:19how to set up a bot." When you do get to
58:21that point, you do want to set up a bot.
58:23The eye is here. And I go through this
58:25exact checklist every single day. Every
58:28time I build a new bot, I go through
58:29this exact checklist that you have
58:30access to. So I'll make sure to drop the
58:32links and stuff in the Zoom again here
58:34so you have access to all of it. But I
58:36think this is a really cool tip here
58:38where you type in C and it runs claude
58:40dangerously skip permissions. I also did
58:42the same thing and when
58:46I run T have it activate
58:53activate TFlow. So those are the two
58:56shortcuts that I use. You can see I have
58:58two agents running in the left and the
59:00top. So we have agents running all day
59:02because why wouldn't we? And this is one
59:04of the edges you get here from using
59:07cloud code in the terminal is I have
59:09three projects going while if you're
59:11using Visual Studio Code, you probably
59:13will be switching through things. Now
59:15look at this. The plan mode is done now.
59:17So it went through here and it created a
59:21whole plan opposed to just running the
59:22code or running the prompt like I am
59:24doing up here in the top right. Now plan
59:27mode what I told you about before is
59:28here.
59:29>> Deal was already made. Deal was made. I
59:31set out at the beginning of the summer
59:33and said, "This is the training plan I'm
59:34doing." I signed that contract with
59:37myself. I'm doing it.
59:39>> You know, throughout the that process,
59:40you'll start talking to yourself like,
59:42"Man, I got to I think I need to maybe
59:44if we
59:45>> Nope. [laughter]
59:47This is non-negotiable."
59:49>> So, this is really, really great. Plan
59:51mode is just a way to make sure to get
59:53all of the questions she may have based
59:56off of our sloppy prompts, and she's
59:59going to make the prompt better.
1:00:01You can go back and forth as much as you
1:00:03want. You can see build an autonomous
1:00:05247 alpha finding system that
1:00:08continuously scans hyperlquid data API
1:00:10to discover high probability trading
1:00:12setups.
1:00:14Jim Simon's Renaissance style. So you
1:00:16can read through this. I'm not going to
1:00:18waste your time here right now, but this
1:00:20is actually really interesting. So I may
1:00:21have her go. So you can see top five HLP
1:00:24sentiment Zcore, smart money signals,
1:00:27order flow and balance, multi- exchange
1:00:28liquidations, HLP flips plus large
1:00:31trades, and then you'll be able to see
1:00:33are there any things that she doesn't
1:00:34have right? Are we aligned here? And
1:00:37remember, they they want you to or even
1:00:39if they don't want you to, you're going
1:00:41to end up going in multiple loops most
1:00:42of the time. So plan mode here, you can
1:00:45say, "Okay, now you can go run it or I
1:00:47want to go ahead and pass in some
1:00:49edits." and you can just go back and
1:00:50forth until you got it exactly right.
1:00:53And this is such a lifesaver. So, what I
1:00:56just showed you is everything I wanted
1:00:58to get you updated on for AI in 2026.
1:01:01And you see me here every single day.
1:01:03So, I wanted to make sure you know my
1:01:04exact trip kit when it comes to AI. I
1:01:07started with Chad GPT uh on the web,
1:01:10okay? Moved on from that once cursor
1:01:12came into play. Cursor is a sick place
1:01:15to get started if you are new to coding.
1:01:17It's a little uh it just feels better
1:01:19than the terminal. But once you are
1:01:22comfortable, jump into cloud code
1:01:24because you can see I can have three
1:01:25entirely different projects going at the
1:01:27exact same time. I could have five. I
1:01:28could have 10. And each those each of
1:01:30those projects I could have multiple
1:01:31agents going inside of them. This is
1:01:33crazy, dude. 2026 is our time, dude.
1:01:36Let's get it. I believe IN YOU. LET'S
1:01:38GO.
1:01:41SO ONCE YOU GET TO cloud code, remember
1:01:43whisper flow is the the voice to chat
1:01:47saving you time. Remember cloud code run
1:01:50dangerous or skip permissions. Claude d-
1:01:53dangerously skip permissions. That lets
1:01:55you run the code autonomously. You don't
1:01:57have to say yes and no. You can change
1:02:00it to C and T, however you like,
1:02:02whatever you want your short code to be.
1:02:05You saw that if you tell Claude to run
1:02:07five agents, boom, she'll run five
1:02:10agents. 10 agents, boom. You can see she
1:02:12just coded out a back test for me and
1:02:15she did the robustness test. They pass
1:02:17on all or three out of four. Okay.
1:02:20Plan mode is goat, dude. If you have a
1:02:23big project or a big prompt, always
1:02:24start with plan mode. You're just going
1:02:26to save your time. You know, you can
1:02:29also tell Claude, hey, create a sub
1:02:32agent based off of this and give her any
1:02:34code like the back test stuff. So,
1:02:36that's my whole update for 2026 when it
1:02:38comes to AI and how I'm using AI. And
1:02:40now you have everything, my guy. Let's
1:02:42get it.
1:02:46Let's get it.
1:02:56I'm going to put all of this stuff in
1:02:57the chat.
1:03:04Let's go ahead here and get all of the
1:03:07party favors in the chat here.
1:03:35I don't know what you're talking about,
1:03:36Ken. Bro, I'm dropping [ __ ] fire.
1:03:38Let's get it, dude. Lock in. Lock in,
1:03:41dude. Lock in. I'm up out of the chat
1:03:44after that one, boy. Lock the [ __ ] in.
1:03:47It's time to go, dude. I'm trying to
1:03:48show you everything here today. I'm
1:03:50trying to show you everything, bro. I'm
1:03:53trying to show you everything. King
1:03:54Kenny, let's get it. Lock in. You didn't
1:03:56know half that stuff I just showed you.
1:03:58Come on, bro. Lock in.
1:04:02Lock in with me, Ken.
1:04:04Lock in.
1:04:31All right. Okay, so I think I got all of
1:04:33these set up. Let's make sure that
1:04:34everything is working. There were a
1:04:36couple errors in the slice. Yes, the
1:04:38slice here. Slice. Okay, there we go.
1:04:41We're good now. So, we got all the
1:04:42depositors here. Beautiful. This looks
1:04:45good. This looks good. Okay, how about
1:04:48this one, though?
1:04:52All right, we're Gucci there. Gucci
1:04:53Gucci down to the socks.
1:04:56Gucci down to the socks, baby. Let's get
1:04:58it. What else we got? Do we have any
1:05:00other areas here? I want to make sure
1:05:01all of this is looking good.
1:05:12Gucci, Gucci, Gucci. Okay, sick. So, I
1:05:16have all the data sources here and I can
1:05:18come up with unlimited ideas forever.
1:05:24Yes. Do they all work? Okay, this one
1:05:26wasn't working. [snorts] So, I still got
1:05:28this error. So, let's go ahead and fix
1:05:30that real quick. Got to make sure that
1:05:31this is all good.
1:05:35We do get this little bit of an error
1:05:36here on this stats.json.
1:05:54Let me check the engineix configuration.
1:06:12So she's checking the engineix.
1:06:14The enginex
1:06:27the engineix. Oh, while that's going on
1:06:30though, what I do want to show you real
1:06:32quick is the options here for back
1:06:35testing because I want to show you the
1:06:37entire process here today. So I I want
1:06:41to go ahead and show you your options
1:06:43for back testing. [snorts] So here we
1:06:46go. So there's multiple options for back
1:06:49testing. If you know my processes,
1:06:50research, back test, and then implement.
1:06:52So back testing is very very important.
1:06:55Now I've tried all the back testers and
1:06:57I've come across one that I really like
1:06:58the best. So here's some here's the code
1:07:01right here. I've already shown you this
1:07:02how to back test. It's actually using
1:07:04back testing. py. Some people will say
1:07:07to use, others, Back Trader, whatever.
1:07:09Um, they're all they're all solid, but
1:07:11you know, the one that I say don't use
1:07:13is Trading View. If you're using Trading
1:07:14View, you're cooked. If you're using
1:07:16Trading View for back testing, you're
1:07:18absolutely cooked. So, the one good
1:07:20thing Trading View does have though,
1:07:22before I dog them too hard, um, they do
1:07:25give you the code for everything, which
1:07:27is awesome. I can go in here to their
1:07:29uh, code here and just grab all of the
1:07:31code. Now, that's just a moving average.
1:07:33Pretty easy to build. So if I go to
1:07:34indicators here, I go like QQE mod or
1:07:37whatever and then just say, "Hey,
1:07:38where's the code at?" And then I could
1:07:39say this. So there's something called
1:07:41repainting if you want to know why I
1:07:43think back testing is cooked on um
1:07:46Trading View. So definitely don't do
1:07:48that. Don't use Trading View for back
1:07:51test. Okay, but I can say this. Okay,
1:07:54look at this. This is a hack with
1:07:56Trading View. So while I do dog them for
1:07:58having bad back tests and you should use
1:07:59Python, you should use backtesting.
1:08:02Uh, while I do say all that, there is
1:08:04some fire. You just saw me get all of
1:08:05the code. So, I could say, go ahead and
1:08:07use this QE and align it with my
1:08:11liquidation data and launch five
1:08:13different agents to use this QQE uh
1:08:17indicator here from Trading View and use
1:08:20it in some way with each of the back
1:08:23tests and have five agents go
1:08:24independently. So, again, we're back to
1:08:27Cloud Code. you have the actual back
1:08:29test uh script I use. I already have it
1:08:32in here. Um and this is the good thing
1:08:34about
1:08:36Trading View. So, you know, you're going
1:08:38to have a lot of options. Back trader,
1:08:40VectorBT. I prefer back testing. I think
1:08:43it's the best. And I just get a lot of
1:08:46people asking for this. And the thing
1:08:48with back testing is it's the key. It's
1:08:49the key. It's the key to algorithmic
1:08:51trading because what you do as a hand
1:08:54trader is you stand there and you stare
1:08:56at the charts all day.
1:08:58price goes up, down, you're trying to
1:08:59guess if it's going to go up or down,
1:09:01you're going to be wrong a lot of the
1:09:02times, but then you won't respect your
1:09:04stop loss or take profit. Then you lose
1:09:07all your money. It just takes one bad
1:09:08day. You lose all everything. So, uh,
1:09:11what I would what I do because I can't
1:09:14I'm not a financial adviser. What I do
1:09:17is I take that ambition, that hard work
1:09:20that you and I both have and instead of
1:09:23trying to work harder, harder, harder at
1:09:25trading, I spend that effort on
1:09:28researching and back testing. And then
1:09:30when I find winners, I put them into
1:09:32bots. So you can see I'm using cloud
1:09:35code here and I'm using the only thing
1:09:36you should use Trading View for is
1:09:38getting the code for the indicators
1:09:40because then you can go through all
1:09:41these indicators on Trading View.
1:09:45and just pick out whichever ones you
1:09:47want.
1:09:49>> I knew I was gonna make it. I just ain't
1:09:51know how.
1:09:54>> But I knew this world is what you make
1:09:56it. You create your own environment. It
1:09:59all starts with a vision what you can
1:10:01imagine.
1:10:04>> So you just grab the little code section
1:10:05here and then boom, can add it into your
1:10:08code. So, I think that's a fire fire
1:10:10part of Trading View and I wanted to
1:10:12make sure to leave that with you because
1:10:13I don't talk about it a lot, but it's
1:10:16the only reason in my opinion to use
1:10:19Trading View. Other than that, you can
1:10:20look into what back uh what this means.
1:10:23Can you tell me what
1:10:27repainting is and why that's a problem a
1:10:29lot of the times with Trading View back
1:10:30test?
1:10:36But that's the that's like the best
1:10:37part.
1:10:38in my opinion of trading do
1:10:43it's actually the only part because
1:10:45other than that you're just looking at
1:10:46charts right and you're just trying to
1:10:48pick like should I go long or short so
1:10:50you can see I launched five different
1:10:52agents to use that QQE with the
1:10:54liquidation data
1:10:59that's pretty far
1:11:01pretty far
1:11:04let's go ahead and read through the
1:11:05reasoning of repainting Repainting is
1:11:08when a technical indicator or trading
1:11:10signal changes it historical values
1:11:12after the fact, making back tests look
1:11:14much better than they actually would
1:11:16have performed in real time. Why it's a
1:11:18problem? When you back test a trading
1:11:20strategy on Trading View, you're looking
1:11:22at historical data. A repainting
1:11:24indicator will show you signals that
1:11:26look perfect in hindsight, but those
1:11:28signals weren't actually there when the
1:11:30candle was forming in real time. Common
1:11:33causes future data leakage indicators
1:11:35that use close price
1:11:38before the candle actually closes.
1:11:40During a live candle, the close is
1:11:42constantly changing. Look ahead bias.
1:11:44So, you can look into this more, but
1:11:45that's essentially why I don't use trade
1:11:46view. And uh I think it's cooked other
1:11:48than this part where I'm actually I
1:11:51might find something profitable based
1:11:52off of this.
1:11:55I might actually find something
1:11:56profitable, dude.
1:12:02And then you also have my checklist,
1:12:04right? So I gave you the road map.
1:12:06You've got this checklist. When you are
1:12:08building out a bot, make sure to go
1:12:09through these things. Implement risk
1:12:10controls into the bot. That's the first
1:12:12thing. Implement the strategy, of
1:12:14course. How are we entering limit orders
1:12:15or market orders? Check the position.
1:12:17See if we're in a position. If we are,
1:12:19make sure to cancel all the orders
1:12:20before we enter that new position. And
1:12:22that's a very, very important part.
1:12:24A lot of people are going to go ahead
1:12:26and just blow up their accounts because
1:12:27they forgot to cancel orders prior to
1:12:28putting another order. It's crazy.
1:12:30Decimal adjustments here.
1:12:33You got to make sure to have the right
1:12:35decimals when you're entering orders.
1:12:37Every exchange has different decimal
1:12:38places. So, this is the actual
1:12:41step-by-step plan I go through here when
1:12:44I'm building out a bot.
1:12:47Set up a a while loop at the bottom so
1:12:49it's always running, right? You don't
1:12:50want to just go ahead and have it run
1:12:52one time and then be done. No. And then
1:12:55this is probably the most important part
1:12:56is tiny size. Make sure it's tiny size.
1:12:58So if it blows up and doesn't do well,
1:13:00then hey, you've lost 10 bucks. Now,
1:13:02what I show you, I show you how to back
1:13:05test here. And
1:13:08there are essentially unlimited
1:13:11exchanges once you're ready to get to
1:13:13the exchange part that you can connect
1:13:15to. I use CCXT for a lot of the things I
1:13:18teach because it connects you to
1:13:19Binance, it connects you to Coinbase, it
1:13:22connects you to
1:13:24whatever, BitMax, people still use that.
1:13:27I don't know, Blowfin, Vybit, Kraken.
1:13:32So, CCXT, just so you have that
1:13:33Hyperlquid as well, but I also show you
1:13:35how to connect directly to Hyperlquid
1:13:37because I think it's important. So, now
1:13:39you have the checklist that I have in
1:13:40order to build a bot and you know how to
1:13:42back test. You can see how I use cloud
1:13:43code in order to back test. You've got
1:13:45everything, dude. You've got everything.
1:13:52You've got everything, dude. If you have
1:13:55questions, let me know in the chat.
1:13:58All right. So, I'm going to X out of
1:13:59this actually. And then what I want to
1:14:01do here is I want to go ahead and
1:14:07essentially
1:14:11I want to look into these real quick
1:14:12because we've had some volatility. I I
1:14:15don't know how these have done.
1:14:22So these are some stat arbs that I set
1:14:24up a few days ago. This one's down bad.
1:14:2781. Started at 90. This one's also down
1:14:31bad. 81. 88. Okay. So, it's not down
1:14:34that bad. Started at 90. And this one is
1:14:38up. Okay. So, one is up, three are down.
1:14:40But that's pretty typical. So, one time
1:14:42somebody came to me and said, "Moon,
1:14:44this just isn't working out for me.
1:14:46Like, this is too hard. I only found one
1:14:47winning back test out of 10." And I
1:14:49said, "Bro, that's good. [laughter]
1:14:51That's good. Step on the gas. Be one out
1:14:53of 10 is good."
1:14:56Jim Simons ramp up a net worth of $31
1:14:57billion. If you think you're going to go
1:14:59one for two, you're you're cooked. This
1:15:01is a very hard game. But it makes sense
1:15:04because it's literally the biggest prize
1:15:06in the world. You have autonomous robots
1:15:08that trade for you profitably 24/7 and
1:15:11you only hit one out of 10 on the back
1:15:12test. That's good. So, reset your
1:15:15expectations before you get into this.
1:15:17It's not an easy game. It's not an easy
1:15:19game. That being said, if you do have
1:15:21the desire to actually be a profitable
1:15:24trader, you have to approach trading a
1:15:26different way.
1:15:28The wall I hit was like, "Dude, I don't
1:15:29know how to code. So, how am I going to
1:15:31how am I going to do this if I don't
1:15:32know how to code?
1:15:35Just have to learn how to code." But now
1:15:36we have AI that codes for us, which is
1:15:39absolutely sick. Let's go ahead here and
1:15:41go to
1:15:44Let's get into this file here. Code dot.
1:15:48Okay.
1:15:56Oh, no. I shouldn't have gone that far.
1:15:57That's too far. Let's get to the stat
1:16:00orb here.
1:16:03Actually, you know what I could do?
1:16:05Let's see here. I'm trying to get to the
1:16:08AI of the stat. Statar, where are you?
1:16:11Stat. Oh, here you are. All right. I
1:16:13want you to do a full analysis here of
1:16:15my Jan file. And I have four different
1:16:18bots running. It looks like one is
1:16:20profitable barely and the other three
1:16:23are not doing well. But I want you to go
1:16:24ahead and look at the actual stats of
1:16:26them and see how we can improve them. So
1:16:30go ahead and launch an agent per CSV
1:16:34file where we're logging all the trades
1:16:35and have them dive deep. So we'll have
1:16:37multiple agents going and then um yeah,
1:16:40let me know your results. So, I got four
1:16:42uh five agents up here going. And now
1:16:44I'm going to have like four agents out
1:16:46down here
1:17:35All right, dude. I identified a new OP,
1:17:37by the way. I knew I knew something was
1:17:39fishy with that OP. We got a new OP in
1:17:41the chat, and his name starts with K.
1:17:44His name starts with K. Watch out. The
1:17:46ops are sneaking in. The ops are
1:17:48sneaking in. The one that was calling
1:17:49everybody else a OP. He's the OP. Let's
1:17:52get it, dude. Let's get it. every day.
1:17:55They don't want you to know this stuff.
1:17:56They're going to try to slow me down.
1:17:58They're going to say, "Don't share this
1:17:59stuff. Don't teach it." Okay? The ops
1:18:01are in the chat. Just know that.
1:18:04Just know that, dude. They don't want
1:18:06you to learn this stuff. You'll even
1:18:07have people around you inside this chat
1:18:09right now that are going to try to keep
1:18:11me back from sharing this stuff. So,
1:18:14here's all of the things that I can give
1:18:16you in order to succeed the best you
1:18:18can. I just put in the the API key, the
1:18:21docs, the quant app, uh the road map,
1:18:24etc. Feel free to share that with
1:18:25anybody new that comes in.
1:18:29I told you my wall from starting this
1:18:31stuff was I was too scared, you know, I
1:18:32was held back in seventh grade. I was
1:18:34too scared to know that I could learn
1:18:36how actually how to code, like to
1:18:37actually attack it. And that's why I'm
1:18:40so juiced on this stuff, dude. I'm so
1:18:42juiced because it was a a mind-boggling
1:18:45experience for me. And now, especially
1:18:47with this AI, dude. Especially with this
1:18:50AI, you can see here that she's done.
1:18:53She found a winner. QQE crossman filter.
1:18:56Okay, so it had a 57% win rate. The
1:18:59sharp ratio is not too good, though. So,
1:19:01what I want to go ahead and do is Yeah,
1:19:02these are just decent. So, I want you to
1:19:04go ahead and launch five more agents
1:19:05using that QQE mod plus liquidation
1:19:08momentum. Let's do liquidation momentum.
1:19:11Meaning, if there's long liquidations,
1:19:12assume that there's going to be more
1:19:14long liquidations. So, we would trade
1:19:16downwards. If there's short
1:19:17liquidations, assume there'll be more
1:19:19short liquidations. It has to be a
1:19:20smaller amount, though, not 5 million.
1:19:24Let's get it.
1:19:29Oh, by the way, dude, I I get this
1:19:31question a lot while she's running. I
1:19:33get this question a lot, a lot a lot.
1:19:34Can you just run these bots on a cloud?
1:19:37Can you run this autonomously 24/7? So,
1:19:40I live on an island. I live in Puerto
1:19:42Rico and uh our power goes out all the
1:19:44time. So if you do want to run these on
1:19:47a server, it's actually super easy to
1:19:50do. And if you actually look here, I'm
1:19:53running a cloud code inside of my server
1:19:56as we speak. You know, I was just having
1:19:58her update all these ticks here. And
1:20:01that's actually on a server that's on
1:20:02the cloud. I can skill is only developed
1:20:07by hours and hours and hours of beating
1:20:09on your craft.
1:20:11>> I can run this code 24/7 365 and I can
1:20:14close my computer and it's super simple
1:20:16to do. At first it was intimidating, but
1:20:18I have walkthrough videos that show you
1:20:19exactly how to set up on a cloud. But
1:20:22long story short is it's as easy as
1:20:25running the code on your computer. You
1:20:27just have to type in SSH and then
1:20:29whatever your IP address is. How do you
1:20:30get your IP address? Well, this is of
1:20:33the actual server. So, you could use any
1:20:35type of server here. Um, VPS server is
1:20:38what it's called. And all this stuff is
1:20:40just weird name, so it's intimidating.
1:20:42So, you can just Google VPS server and
1:20:44use any of these servers that you want.
1:20:47A lot of people like Hner. Uh, a lot of
1:20:49people like Kabo. A lot of people like
1:20:51Volur, which is VLTr. I'm not trying to
1:20:55pitch you guys on a service to use. I
1:20:57think they're all commodity commodities.
1:20:59And essentially what they allow you to
1:21:00do is have a computer that's in some
1:21:03warehouse that you get a work from on
1:21:05your computer. You see what I'm saying?
1:21:07So that's pretty far. And the the
1:21:10service I use is called Cherry Servers.
1:21:14And it costs like 50 bucks a month, I
1:21:16think. And you can run all bots
1:21:18autonomously from the cloud. So you
1:21:20never have to worry about your power
1:21:22going out, etc., etc. I just wanted to
1:21:24drop that piece of alpha there because
1:21:26for me it was intimidating to set it up
1:21:29at first, but it was just me being
1:21:31scared again. Scared to learn how to
1:21:33code, scared to do all this stuff. But
1:21:35that's what I'm here for is I'm trying
1:21:36to help you guys not be scared. Like I'm
1:21:39a regular dude. Seventh grade holdback.
1:21:42Let's get it. Okay, so let's see here.
1:21:45So done all four. So win rates 95% on
1:21:48this first one. Wow. So P&L 23
1:21:55strategy performance comparison. This is
1:21:57the regular. I don't know if it's a 23
1:21:59net P&L, but that's what it says. Gazian
1:22:03says net P&L of 19,
1:22:0591% win rate, 85% win rate. All
1:22:08strategies are being destroyed by the
1:22:10same culprits. Aster caused massive
1:22:12losses across all strategies. Tokens to
1:22:16blacklist immediately. Interesting.
1:22:17Okay, that's actually a nice update.
1:22:19Cause massive losses here on the aster.
1:22:22Okay, critical finding. Risk reward is
1:22:25inverted. Average win is 215. Average
1:22:27loss is 20. You need 90% win rate just
1:22:30to break even. This is a core problem.
1:22:32Tighten stop losses. Okay, that's a
1:22:35that's a very obvious thing to do. So,
1:22:38blacklist those. Add timebased exits.
1:22:41Losing trades stay open. Oh, I like
1:22:44that. So, 12 hours max. reduce open
1:22:47positions. Gazian has 409 open
1:22:49positions. Way too much exposure. That's
1:22:51not true.
1:22:53Okay. So, there's definitely no chance
1:22:54that there's 409 open positions on the
1:22:56Gazian, but I do like your findings thus
1:22:58far. I think the things we should do for
1:23:00starting is blacklist those on all of
1:23:03our bots. Okay. So, blacklist all of
1:23:05those uh symbols that you have. I think
1:23:07it says Aster, Mnt, AVNT, and you and I.
1:23:11Blacklist those so we don't trade those
1:23:12anymore. Okay.
1:23:20I actually don't want to do that. I
1:23:22don't want to do that.
1:23:27I don't want to do that. All right. So,
1:23:29I want to make one change here and I
1:23:30want to do the stop-loss take profit.
1:23:33I want to change that to be negative 6%
1:23:37stop-loss while keeping this takeprofit
1:23:39the same. So, this will be the next
1:23:41batch of runs here. And what I want you
1:23:44to do is print out the starting balance
1:23:47for each of the bots as this is going to
1:23:48be a brand new run here and we're going
1:23:50to test these new ideas iteratively over
1:23:53the next few weeks, months and um you
1:23:57know there are some good signs. There is
1:23:58one winner here that is
1:24:01100% market neutral which is freaking
1:24:03amazing because this doesn't matter if
1:24:04the price goes up or down. These stat
1:24:06arbs are dirty for that reason. So one
1:24:09out of four I'm very very happy with.
1:24:11Let's keep tweaking all of them in order
1:24:13to see if we can make them better. Okay.
1:24:16So, the one that I don't want you to
1:24:18change is the regular run regular. I
1:24:21want you to make a new version of run
1:24:23regular. So, it'll be run regular 2.
1:24:27And this will have the new stop-loss
1:24:28take profit. I'll pause one run regular
1:24:32regular for now. And then for the other
1:24:34ones, you want to change the stop loss
1:24:36take profits because those other three
1:24:37were losers in my mind. What are those
1:24:40other three?
1:24:42Copula, Gausian, and Forele.
1:24:46So, we'll make that change to all three
1:24:48of those and then make a new version for
1:24:50the regular. Okay. Go ahead and build
1:24:51that. Thank you.
1:24:57We're not going to blacklist anything
1:24:58for now.
1:25:16Where can I find the tutorials on cloud
1:25:18server? I do have one on my YouTube.
1:25:25Okay, so I'm going ahead and updating
1:25:26these stat arbs. I think Stat Aarb is an
1:25:28interesting approach to the market
1:25:29because it it's essentially taking a
1:25:31long and a short at the exact same time,
1:25:33making it uh market neutral. And there
1:25:36are so many different approaches to this
1:25:37market. You can take risk or you can
1:25:39take no risk or less risk. You can take
1:25:41a lot of risk. You Yeah, it's just uh
1:25:43it's a fun game. And Jim Simons, who's
1:25:46who I'm chasing, he built a net worth of
1:25:48$31 billion. And um yeah, dude, I just
1:25:52think it's I think it's the better way.
1:25:54I think it's the only way. I think it's
1:25:56the only way. Let's see what she's done
1:25:59up with here.
1:26:02Okay, so we got some better sharps here.
1:26:04So, file QE lick momentum ratio return
1:26:08is 101%. Sharp is 1.66. Sortino 3.62.
1:26:12Okay. Win rate
1:26:15when lick ratio is over two.
1:26:19Second place is 500k momentum. [snorts]
1:26:22So, lick ratio momentum 101% return.
1:26:27Nice, dude. Let's go ahead and do
1:26:29robustness. Let's go ahead and do the
1:26:31robustness test on the first and second
1:26:34placed one. Also, before you do that, go
1:26:36ahead and update the
1:26:40Please go ahead and update the read me
1:26:42so we understand that this is another
1:26:43winner. We have
1:26:49We got another winner in there.
1:26:53Winner winner
1:26:55chicken dinner.
1:27:03Yeah, man. I don't know about you, but I
1:27:05think I've told the story before. It's
1:27:07just like there's no point in trading by
1:27:09hand, dude. You're just wasting your
1:27:11time. You know, you know what I'm
1:27:13talking about. If you're a trader, you
1:27:14know that you'll spend hours, days, if
1:27:16not years staring at these charts just
1:27:18to end up blowing up at the end of the
1:27:19day. So, please stop doing that. We've
1:27:21all lost time. We've all lost friends.
1:27:23We've all lost family, dude. And it's
1:27:25just not fun. Uh the dude that welcomed
1:27:27me into my new home when I was a scared
1:27:30little kid moving in at 12 years old,
1:27:33dude. He He's my best friend ever, bro.
1:27:36And I lost him. I lost him to these
1:27:39charts. I three best friends, dude. AC
1:27:42hit me up. He said, "Bro, call me back."
1:27:44I said, "Bro, I'm in a trade. I can't
1:27:46call you back, dude. I can't call you
1:27:49back." Me, AC, and KT. The three best
1:27:51friends ever, dude. Three best friends
1:27:53ever. This is KT. KT is the type of
1:27:55dude. This is what he did when I was in
1:27:57seventh grade. Nobody [ __ ] with me at
1:27:58all. Nobody wanted to be my friend. New
1:28:00kid. Couple of the girls actually liked
1:28:02me, so they hated me even more. KT sees
1:28:04me saying in the rain one day during
1:28:06soccer class. He's like, "Hey, bro." And
1:28:07he's a cool kid. He's like one of the
1:28:09cool three cool kids. Hey, bro.
1:28:12You seem pretty chill. You want to be my
1:28:13locker partner? He brought me in. He
1:28:15brought me in. And from that day,
1:28:16seventh grade, we're best friends since.
1:28:17Me, KT, and AC.
1:28:20He was just such a good person, man.
1:28:2410 years later, dude. 15 years later,
1:28:27bro.
1:28:29Get that call from AC. I said, "Bro, I
1:28:31can't call you back right now. I'm
1:28:32trading. I'm in a trade." He said, "No,
1:28:34for real, Moon. Call me back.
1:28:40KT's gone, bro.
1:28:43KT's gone.
1:28:47time. You can't get back with people,
1:28:49bro.
1:28:51I know we've all lost people. I know
1:28:54that. But we can make decisions today to
1:28:57spend time with those people that you
1:28:58love.
1:29:01We don't need to stare at these charts.
1:29:02We can we can still be traders to spend
1:29:05your time on things that compound. If
1:29:07you're going to miss friendships, if
1:29:09you're going to miss seeing your
1:29:10friends, your family, your kids, your
1:29:13wife, dude, if you're going to miss that
1:29:15time, at least be compounding, like be
1:29:18building systems that you can let go run
1:29:21for you and you go spend that time with
1:29:23your friends and family. Spend four
1:29:25hours a day. That's all I do is four
1:29:26hours a day. Lock in.
1:29:29>> Yeah, that broke my heart, dude. Broke
1:29:31my heart. the one person that embraced
1:29:32me and to this new place I didn't want
1:29:35to live in. I'm from the city, dude. And
1:29:36I had to move down to this small town.
1:29:38All these [ __ ] kids hate me because a
1:29:40couple of their girls like me. Okay. Oh,
1:29:43he's a new kid. [ __ ] that guy. But KT
1:29:46was different, man. He brought me in and
1:29:48it's my brother for life. It's my
1:29:51brother for life. I can't believe I
1:29:54spent so many [ __ ] years these damn
1:29:56charts, dude. And you leave with nothing
1:29:58is the crazy thing. You leave with
1:29:59nothing. If you're using leverage over
1:30:02the next thousand trades, you're going
1:30:03to leave with nothing.
1:30:07>> So compound, dude. Make that decision
1:30:09today. You are a corn. You are a
1:30:11>> pair of shoes and at the store. They're
1:30:13really at the store. You just don't have
1:30:15it yet. It ain't like that [ __ ] don't
1:30:17exist. It's just really at the store.
1:30:18That's how I looked at my whole life. If
1:30:21I want it, if I believe I can have it,
1:30:24then that's my reality.
1:30:25>> It's my reality, dude. I wanted this so
1:30:28bad. I wanted to be a profitable trader
1:30:31so bad that I spent so many hours and
1:30:33days staring at these charts trying to
1:30:35figure it out just to lose it all, dude.
1:30:38And to lose it more than all, lose more
1:30:40than money.
1:30:43You can't get time back.
1:30:46Can't get people back.
1:30:50If you're going to be a trader, the only
1:30:52way to do it is quantitatively because
1:30:56then you're forced to look at your
1:30:57strategy in his face. Does it work? Yes
1:30:59or no. You know how to back test now.
1:31:01Perfect. Okay. Does it work? Yes or no.
1:31:03If it works, okay, build it into a bot
1:31:05that can execute 24/7 because you're not
1:31:07going to be at the charts all day. We
1:31:09got We got into trading to get our money
1:31:10back, right? Or get our money and our
1:31:13time back. We're trying to get our money
1:31:14up and our time back by trading, but
1:31:16then you stare at the charts all day. No
1:31:18way, dude. Way too much emotion. You
1:31:20could say right now if you're not in a
1:31:22trade right now, you could say, "Oh, you
1:31:23just don't use emotions." But come on,
1:31:25bro. You know that's cap. You know
1:31:27that's cap. If you're using 40x tra
1:31:30leverage or max leverage, any leverage
1:31:33over like two, three, I know you're
1:31:34emotional.
1:31:37Just is what it is. You're trying to get
1:31:39rich overnight.
1:31:41But dude, why wouldn't you spend that
1:31:42time to build systems that can make you
1:31:45wealthy over a long period of time
1:31:48instead of trying to do it overnight? I
1:31:50don't know. I don't know. There's a
1:31:52better way to trade. There's a better
1:31:53way to trade. I know that for a fact. I
1:31:54will never I I've been I've been like
1:31:57tempted. I built the Quant app out in
1:31:59order to help hand traders. But [ __ ]
1:32:00them, too, dude. If you want to keep
1:32:02trading by hand and you want to go
1:32:04introduce yourself, oh, I'm a trader,
1:32:06[ __ ] gambler.
1:32:08No, dude. That's not the way. I can't
1:32:11help hand traders anymore. Unless you
1:32:13will actually step on the gas with me
1:32:14and automate your trading. It's so much
1:32:17easier now, dude. It's so much easier.
1:32:20She's still running. Beautiful.
1:32:22Beautiful. Beautiful. Let's get it every
1:32:24day.
1:32:26Lock in. Lock in every day. Let's get
1:32:28it. Okay, let's see what happened here.
1:32:31Okay, so all done. Here's what I built.
1:32:33Summary of changes. New file. Regular.
1:32:35Run regular 2. Okay, simplized version.
1:32:37simplified version. Okay, I'm going to
1:32:39go ahead and run that one first. So, run
1:32:42regular 2py.
1:32:45Hely.
1:32:47Run regular 2.
1:32:51Run regular 2. New version
1:33:00added per strategy. Stop loss settings.
1:33:03Original winner unchanged.
1:33:09Huh?
1:33:17Uh, can you see what's going on here?
1:33:19How come I wasn't able to run it? So,
1:33:22anytime you get stuck, just know you got
1:33:23AI right here with you, dude. And you
1:33:25know how to use cloud code. Now, the one
1:33:28thing you have to decide is that you're
1:33:29a quant now and you can remove emotions
1:33:31forever. For the rest of your life. For
1:33:34the rest of your life. The file is in
1:33:35the root project. I want all those to be
1:33:38in the jam bots folder just like the
1:33:40other ones
1:33:41for the rest of your life. You don't
1:33:43have to worry about your emotions
1:33:44because emotions are beautiful, dude. We
1:33:47want emotions. We don't want to be that
1:33:48stone cold killer that doesn't talk to
1:33:50anybody, doesn't have ups and downs.
1:33:52Dude, you come here every single day and
1:33:54you're going to catch a new moon. They
1:33:55say, "Mundave, you have so many
1:33:57personalities." No, dude. I have
1:33:58emotions.
1:34:00Some days I'm feeling [ __ ] good. Some
1:34:02days I'm feeling down. I'm locking in
1:34:04every day no matter what, with or
1:34:07without you. But I'm a human and I
1:34:09embrace my emotional journey. I'm on
1:34:11ups, huge ups, huge downs. Who cares?
1:34:14Lock in. I got a system. RBI, research,
1:34:17back test, implement, research, back
1:34:18test, implement. I grew up an athlete,
1:34:21dude. Do you think if I didn't want to
1:34:23go to practice, I have four-hour
1:34:24practice [ __ ] competing against
1:34:26sevenfooters that are trying to dunk on
1:34:28me, and I'm trying to dunk on them. I
1:34:29have a bad day. You think I'd be like,
1:34:30"Coach, I I just don't want to I don't
1:34:32want to do my 1 hour of waste and then
1:34:34four hours of practice." No, dude. Get
1:34:36up. Get on the line. Let's get it. It's
1:34:38discipline, dude. Let's go. We know
1:34:40there's a better way to trading, but
1:34:42you're just too lazy right now to
1:34:43actually learn how to code and automate
1:34:45your trading. That's the fact. But I
1:34:47know that you have the ambition. I know
1:34:49it. Let's get it. You can do this. If I
1:34:52can do it, you can do it. I know that.
1:34:56I believe in you, bro. They're not going
1:34:57to say you can do this. They're going to
1:34:59say you can't. Actually, they're going
1:35:00to say you can't.
1:35:07Okay, so this is going to close all
1:35:08positions first.
1:35:23I need to catch these starting balances
1:35:25here.
1:35:27Okay, I need to catch the starting
1:35:29balances so I can test this a little
1:35:30better. But I'm going to reset all these
1:35:33because they all have been changed.
1:35:37And then I'm going to write that down to
1:35:39catch these because I want to make sure
1:35:40to Okay, that one's fine. Four leg.
1:35:43Okay, so I'm going to go over to my stat
1:35:46note sheet here. So I've got a note
1:35:48sheet. Again, I use Apple Notes. You can
1:35:49use whatever the heck you want to do.
1:35:51Statar 2026. Okay, what is that? 123
1:35:55now. So, we let that run for about a
1:35:56week. Uh, I'm going to write down the
1:35:58notes. Ran for a week. Regular is
1:36:01profitable
1:36:04and the other three are not. So, for for
1:36:09regular, I made a a new version
1:36:14with uh 2% TP and 6% stop-loss.
1:36:21And for the others, I just changed their
1:36:26those those variables.
1:36:30Ah [ __ ] You know what else I should
1:36:31have done?
1:36:33Okay, next test. Next test. Next test.
1:36:37Put a time limit. Time limit on them.
1:36:41But you see how I'm running with small
1:36:42size, dude. These are like $10
1:36:44positions. So I come back to one winner
1:36:47that's up but three losers. But those
1:36:49three leaders don't matter to me because
1:36:50all I'm doing is getting data with small
1:36:52size. And then once I see that they work
1:36:54in the future because not everything
1:36:55that works in the past works in the
1:36:57future,
1:36:58then I can scale it up. See what I'm
1:37:01saying? So now I'm not I'm not spending
1:37:03my time
1:37:05trying to predict if the price is going
1:37:06to go up or down. I'm not spending my
1:37:08time doing that. I'm spending my time
1:37:10coming up with ideas and then seeing if
1:37:12they work in the past. And if they work
1:37:13in the past, I build bots with small
1:37:14size. Don't be like me when I first got
1:37:16started bigheaded thinking that just
1:37:18because you could build a bot, you're
1:37:19gonna make a million dollars. No, dude.
1:37:22That's just like a common misconception.
1:37:23I remember finding my finding or finally
1:37:26building a bot and I run home and I try
1:37:28to get it live and then I just lose my
1:37:29money because you didn't test. You
1:37:31didn't test. But then you know what
1:37:33happened the next time I was running
1:37:34home? Yeah. I was having some eggs. I
1:37:37was having some eggs, some potatoes, and
1:37:39bacon. This is after I've already like
1:37:41ran my first bot without testing
1:37:42anything. Then I came up with the RBI
1:37:44system. That led me to back testing. And
1:37:46I went down to the coffee shop down the
1:37:48street having some nice eggs, bacon,
1:37:51some hash browns,
1:37:53just back testing, back testing, back
1:37:54testing. Bro, I found a back test that
1:37:58absolutely printed money. I said, "Fuck
1:38:01this food." I grabbed my laptop and I
1:38:03sprinted home. I sprinted home to start
1:38:06building the bot. Dude, I was so
1:38:07excited.
1:38:09I was so excited. That was my first
1:38:11winning system.
1:38:12my first winning system. And you can
1:38:14imagine, dude, like I was literally
1:38:15scared to learn how to code. And now I'm
1:38:18finally at a point. I got a winning back
1:38:21test. Let's get it. Let me build this
1:38:23out. And I use small size and scaled it
1:38:26up. And I actually still use a portion
1:38:28of that system to this day. So I'll
1:38:31never forget that eggs and bacon, dude.
1:38:33Puerto Rican eggs and bacon. Uhhuh.
1:38:38I don't I I just don't see why as a
1:38:41trader, what's the difference between me
1:38:43and you? And that's what got me over the
1:38:45hump, right? Because I heard of like all
1:38:47these algorithmic traders, Jane Street,
1:38:49whatever. I heard of them, but I was
1:38:51like, I can't do that. I can't do that.
1:38:54I don't know how to code. I don't know
1:38:56how to code, dude. Like, I could never
1:38:58do that. But then I I met somebody. I
1:39:01walked into the crib and a real estate
1:39:04agent was showing me a new place. And I
1:39:06walk into the crib and this guy is
1:39:08sitting on the couch with a computer
1:39:09screen kind of that inspired my computer
1:39:11screen now. All this [ __ ] going on, all
1:39:13these terminals and he was smoking a
1:39:16joint. The windows were wide open. It's
1:39:19in Puerto Rico. Windows wide open and
1:39:21the air conditioning on. That was like,
1:39:23okay, you're balling, bro. You got the
1:39:25air conditioning on with the windows
1:39:27wide open and you're just chilling
1:39:29smoking a joint. What are you doing?
1:39:31What is going on your screen? I couldn't
1:39:32I couldn't pay attention to what the
1:39:33real tried to say. I had to see ask him.
1:39:35He's like, "Oh, I'm an algorithmic
1:39:37trader." He had his little uh wife
1:39:40beater on or tank top.
1:39:42So, just a normal dude like could be my
1:39:44friend back from back home, West Coast.
1:39:46Seemed like just like West Coast kid I
1:39:48could rock with. And he's like, "I'm
1:39:50although
1:40:02I [ __ ] with you, heavy. You're trading a
1:40:04billion dollars per day, did you say?
1:40:06Because I'm over here I'm over here on
1:40:08BitMX using 40x 50x leverage getting
1:40:11absolutely smoked. I've heard of Jane
1:40:13Street. I heard of Jim Simons. I heard
1:40:15of Renaissance. But
1:40:18thank you so much for for showing me
1:40:20this place, Miss Realtor. You just
1:40:21changed my life. You just changed my
1:40:24life, Miss Realtor.
1:40:31how much training I have done by simply
1:40:33starting at 400. Right? So now you do
1:40:36that and as the years go on, the
1:40:39separation that you have with your
1:40:41competitors to your peers just grows
1:40:43larger and larger and larger and larger
1:40:45and larger. By year five or six, doesn't
1:40:47matter what kind of work they do in the
1:40:50summer, they're never going to catch up.
1:40:51>> They're never going to catch up. She
1:40:52changed my life that day. She wanted to
1:40:54get me in this new place and I said, "No
1:40:56way. I just met this new dude. He's
1:40:58trading a billion dollars a day. I'm at
1:41:00this, mind you. I'm at the point where
1:41:01it's like, okay, I I need to learn how
1:41:03to code because it's it's like alt
1:41:05season. I need to be able to scrape I
1:41:07need to scrape coin gecko. And I tried
1:41:09to do it. I was like, damn, you really
1:41:10need to learn how to code. So, I'm just
1:41:12like kind of wishy-washy. I don't think
1:41:13I'm going to do it. I'm going to go back
1:41:14to Upwork. I've been spend the last
1:41:16decade hiring developers on Upwork. I'll
1:41:18just hire somebody off Upwork. But then
1:41:20once I met this dude, I was like, "Oh
1:41:22[ __ ] regular person can automate their
1:41:24trade. He's trading a billion dollars a
1:41:25day. I don't have a billion dollars. I
1:41:26don't need to trade a billion dollars.
1:41:27No way. But you just changed my life,
1:41:29Miss Realtor. You You introduced me to a
1:41:31regular, a normie just like me that is
1:41:33trading a billion dollars a day. Solves
1:41:35my exact problem I have right now. I
1:41:37have too much cash. I'm trading. It's my
1:41:39life savings with max leverage. I'm
1:41:41going to lose it all. Dude, you just
1:41:42changed my life, Miss Realtor. Thank you
1:41:44for introducing me to this random dude
1:41:46right here. And now I live in that crib,
1:41:47dude. Why? Because I said, "You can do
1:41:49it. I can do it." And boom, your red
1:41:51your red blood is red. Okay, my red
1:41:52blood is red. Okay, let's get it. Now
1:41:55I'm in that crib. Let's get it, dude.
1:41:56Let's get it. I'm in that crib now. It's
1:41:58my crib now.
1:42:01Come on, man. You can do anything. I
1:42:02believe in you. If I can do it, you can
1:42:04do it. If he could do it, I can do it.
1:42:06That proved it. That proved it. And you
1:42:09sit here, you listen to me. I read
1:42:11things backwards. That lady was probably
1:42:13right when she said she I need to stay
1:42:15back in seventh grade again because I
1:42:17read backwards. I'm dyslexic like a
1:42:19mofo. I got all the excuses in the
1:42:22world. I got all the excuses in the
1:42:24world.
1:42:26and you do too. But I think you're a
1:42:27doer, not a dabble. I think you're a
1:42:30doer. So, we got these four bots live
1:42:31here. They should be Gucci. Okay,
1:42:36let's see what's going on up here. So,
1:42:38done. Both strategies passed all four
1:42:40robustness tests. Wow. So, these things
1:42:43that used to take me eight hours, one
1:42:46back test, I've done what, like eight of
1:42:47them, 10 of them already. Oh, building a
1:42:50bot used to be so so hard.
1:42:53Used to take months.
1:42:55Oh, I've already launched four of them
1:42:57already.
1:42:59Okay. And I did robustness tests here.
1:43:01Robustness test results. Lick ratio
1:43:04momentum here. It passed. Okay. Passed
1:43:07on the sign signal permutation as well.
1:43:09Nice. RAM sensitivity it passed as well.
1:43:12Transaction cost it passed. Wow. 27 is
1:43:15the break even. So remember transaction
1:43:18costs are only 045.
1:43:20500k momentum pass pass. Signal
1:43:24permutation most important test. Both
1:43:26strategies, zero out of 25 random
1:43:28shuffles beat the real strategy. All
1:43:31random shuffles resulted in massive
1:43:33losses. This confirms a real edge. The
1:43:36liquidation signals have genuine
1:43:38predictive power. Transaction cost
1:43:40buffer. Okay, this one's sick, too. It
1:43:43pretty much makes the transaction cost
1:43:45like 10x see when it goes ahead and
1:43:46breaks even. 180% safety margin for real
1:43:50world trading. Final verdict. You have
1:43:52three strategies ready for
1:43:53implementation. The V8 pullback, yes,
1:43:553,418%
1:43:57return. Sharp of 4.13.
1:43:59The lick ratio momentum 101% return.
1:44:02Sharp of 1.66. 500K momentum 58%. Dude,
1:44:07so we got three winners here and those
1:44:09are all in the Jan 26 folder. And matter
1:44:12of fact, I'm going to go ahead and get
1:44:13all of that code up to GitHub right now.
1:44:16Get commit slash amp
1:44:21new back test. Who this
1:44:24get push? Let's get it. Okay, so this is
1:44:26all on the GitHub now. All on that
1:44:30trading bot GitHub, dude. Let's get it,
1:44:32dude. Every day I'm going to lock in and
1:44:34I'm going to keep uploading. I don't I
1:44:37don't know if I'm going to keep sharing
1:44:38this on the lives anymore. They don't
1:44:40want me on YouTube anymore. Okay, that's
1:44:42fine. I I'll get on the Zoom.
1:44:45We got ops in the Zoom now. Okay, let's
1:44:47just do it by myself. I don't have to
1:44:49talk through it. I don't have to teach
1:44:50it. But I'll still upload everything to
1:44:52the Mundav trading bot. So, I'm not
1:44:54going to be here forever. I promise you
1:44:56that. You can see I just uploaded these
1:44:57back tests here. So, a ton of different
1:45:00back tests here.
1:45:03Liquidations in the liquidation folder
1:45:05here. Jan 26. That's what we're working.
1:45:07I got three winners to implement in the
1:45:09bots because remember, I just follow my
1:45:10system. Research, back test, and then
1:45:12implement.
1:45:15research, back test, and then implement.
1:45:17If you're a complete beginner, you
1:45:19should already know my entire process.
1:45:20You should know that you can do this,
1:45:22dude. You can automate your trading. All
1:45:24you need to bring is your ambition and
1:45:26your ideas. And if you don't have ideas,
1:45:29I showed you where you can find
1:45:30unlimited ideas. And if you're an
1:45:32advanced coder, there are so many
1:45:35there's so many intricacies here that
1:45:37I'm going to save you hundreds, if not
1:45:39thousands of hours just by today. I want
1:45:42I want to make sure that every day I'm
1:45:43dropping fire so you can leave here and
1:45:46say, "Hey, this was this was the best
1:45:48day ever. Let's get it. Let's get it,
1:45:50dude. Let's get it." And it's crazy how
1:45:53many coders I've helped that are way
1:45:55ahead of me in coding. Way ahead of me.
1:45:58Remember, I've only been coding for five
1:45:59years. I had to learn how to code to
1:46:01automate my training. So, there's devs
1:46:03that come through here every single day
1:46:04and they teach me things. And that's the
1:46:06beautiful thing about locking in with
1:46:07me, dude.
1:46:09We have engineers that are way ahead of
1:46:11both of us that are telling us, teaching
1:46:13us. We got quant here that are ahead of
1:46:15both of us. They're working at
1:46:16Renaissance Technologies. Do we have
1:46:18Renaissance Technologies, Jim Simon's
1:46:20company, somebody from from their
1:46:22company dropped their exact approach to
1:46:25the markets. That's the type of stuff
1:46:27you get when you lock in with me, dude.
1:46:30It's about the community. And we have
1:46:32the strongest algo trading community in
1:46:34the world.
1:46:37And you might be thinking, "Oh, but I I
1:46:40can't do this because of I'm dyslexic.
1:46:43I'm autistic. I'm Dude, I'm all that."
1:46:47Plus some.
1:46:49You could do anything.
1:46:53I know it for a fact because I've helped
1:46:55hundreds of people just like yourself
1:46:57that have never coded before
1:47:01turn into fully automated traders. And
1:47:03one of the best things I hear is, "Moon
1:47:06Moon, you changed my life because I went
1:47:08from this this anxious, stressed out
1:47:11hand trader that's just worried about my
1:47:12positions the whole time to immediately
1:47:15when I turned into a quant, my life just
1:47:18got significantly better. I got happier.
1:47:21I didn't have the stress. I didn't have
1:47:23to worry about my positions all the
1:47:25time.
1:47:28And on top of that, I'm so much more
1:47:30profitable.
1:47:33I just want you to I want you to trade
1:47:35emotion free, dude. I want you to spend
1:47:38your time on things that compound. I
1:47:41don't want you to spend your time your
1:47:43your precious precious time. You don't
1:47:45know when the last day is. You don't
1:47:47know when the last I got [ __ ]
1:47:49blindsided, bro. The kid the my best
1:47:52friend I I would it's never crossed my
1:47:54mind that he wouldn't be here to this
1:47:56day.
1:47:57And that [ __ ] never crossed my mind. And
1:47:59I'm sure you got people in your life,
1:48:01it'll never cross your mind until that
1:48:02day you get that call. So don't waste
1:48:04your time. Please, you get anything from
1:48:06today is please just go spend your time
1:48:09on something rather than just staring at
1:48:11the charts. Like staring at the charts,
1:48:12there's no value at dude. It's so sad
1:48:15because the most ambitious traders, most
1:48:17ambitious people in the world become
1:48:19traders and these are the people that
1:48:20could be the next Steve Jobs,
1:48:23Mark Zuck, whatever. But instead of
1:48:26using that mental energy, the four
1:48:28hours, 5 hours a day on building systems
1:48:31that multiply, we're just staring at
1:48:33these charts, dude. You can't just work
1:48:35harder at trading and become better. You
1:48:36can't. You can't. You can't. You can't.
1:48:38You can't.
1:48:41I got a lot a lot here that I need to go
1:48:43through. I got a lot to build here
1:48:44today. So Oh, I want to look into this.
1:48:48This is actually super interesting. So,
1:48:50where should I do this? Yeah, I should
1:48:51probably do it here. Okay. So, we're
1:48:53going to do a new project here. So, make
1:48:55a new folder. And it's going to be
1:48:56outside of our back test. Actually,
1:48:58let's go ahead and put this one in.
1:49:06Oh, actually, I'm going to put this
1:49:08somewhere else.
1:49:09So, let's find the AI agents GitHub.
1:49:14So, I have another GitHub. I've got two
1:49:16main GitHubs. The AI agents one and then
1:49:18the
1:49:24the trading bot one you just saw.
1:49:27Sorry. Trying to lock. Trying to lock.
1:49:29Trying to lock because I got a new
1:49:31project here. I want to get started
1:49:32again. Research, back test, implement.
1:49:34I'm always researching. I'm always back
1:49:36testing. I'm always coming up with new
1:49:37ideas. I'm seeing if it works in the
1:49:38past. If it works in the past, let's get
1:49:39it. If it doesn't, it's okay. I don't I
1:49:42don't care which one of my ideas does
1:49:43well. All I care about is building
1:49:45systems that make money at the end of
1:49:47the day.
1:49:50So I need to get to the agents GitHub.
1:49:52So agents
1:49:56have AI agents.
1:50:05CL AI agents. AI agents. Is this the
1:50:08one? Copy repo path.
1:50:12CD up in there. Code dot.
1:50:18Okay, this is the one.
1:50:22Okay, so this is my agent GitHub and
1:50:24this is going to be sick. So let's say
1:50:25cursor actually T first and then cursor.
1:50:28Okay, let's bring this over here so
1:50:31I know where we're at. Okay, so all
1:50:34right. So I want you to go ahead and
1:50:36look through our agent section here. And
1:50:38I have this Tik Tok agent.
1:50:46Can you tell me what that Tik Tok agent
1:50:47does? Essentially, I have a probably 20
1:50:50different
1:50:52>> search
1:50:53>> things that I want it to search and then
1:50:56see what the videos are for them.
1:50:59>> You're going to do it. Just decide and
1:51:01then from that point, the universe is
1:51:04going to get out your way. It's like
1:51:05it's water. It wants to it wants to move
1:51:08and go around and stuff, you know.
1:51:11>> Okay. So, let me explain this more. So,
1:51:13long story short, there's a YouTube
1:51:15channel I've been watching for a long
1:51:16time and I'm always researching new
1:51:19ideas. Okay, so this is a new idea. It's
1:51:21a new approach to the market and they've
1:51:24been crushing it like uh they're making
1:51:2610x a year some years, but whatever.
1:51:30Their approach is social arbitrage.
1:51:31Social arbitrage is essentially finding
1:51:33trends before Wall Street finds them.
1:51:34This happens all the time because a lot
1:51:36of the trends are started with like kids
1:51:39that are 19 to 22 while Wall Street
1:51:41traders are 40, 50-y old guys that have
1:51:44no idea. So there's a huge gap there.
1:51:47Social arbitrage, finding things before
1:51:49Wall Street finds them. Super easy. So
1:51:52the thought here is, okay, um
1:51:57it all comes down to the searches that
1:51:59you're searching.
1:52:01For example, sold out everywhere is
1:52:03going to go ahead and bring up a ton of
1:52:05different ideas or bunch of videos
1:52:09showing things that are sold out
1:52:10everywhere or super expensive or finally
1:52:13got my hands on these things that I'll
1:52:15post below. These are different tags.
1:52:17We'll call them tags. Let's make a new
1:52:18folder here in the
1:52:28in the agent section. Let's make a new
1:52:31folder called social arbitrage.
1:52:34And here are the tags below. But I
1:52:36essentially want you to look through the
1:52:37Tik Tok
1:52:39agent right now and see how that works.
1:52:42Are we able to go in there and put in
1:52:44these search tags and then see all of
1:52:46the videos that are uh in that or put
1:52:49them in a file that I could then look
1:52:51at? You kind of understand what I'm
1:52:54going at now. I have all of these tags
1:52:56and I need to find all the videos that
1:52:58are in these tags and organize them in a
1:53:00CSV if possible. I don't know if that's
1:53:03possible because we're going to have to
1:53:05use the computer and type it into the
1:53:07search. I think we should be able to do
1:53:08that with Selenium or something like
1:53:10that. Um, I also want you to think of
1:53:12other ways to use these tags to uncover
1:53:15different ideas, different uh
1:53:20companies that could have a lag to them,
1:53:23right?
1:53:24So,
1:53:25a great example of this is like
1:53:27Abbercomi all of a sudden started
1:53:29popping again in the last two years, but
1:53:31nobody knew that on Wall Street until
1:53:34later. And if we would have been
1:53:36watching sold out everywhere, we would
1:53:39have seen that [ __ ] the kids are back
1:53:40on Abbercrombie. Why wouldn't we buy
1:53:42that before it runs up? Things like
1:53:44that. And same thing with Crocs, same
1:53:45thing with uh Celsius, all of these
1:53:48different things. There's a huge lag in
1:53:50time from when Wall Street understands
1:53:52about something and when Tik Tok is
1:53:55talking about it. Long story short. So,
1:53:58I want you to think about this. Look at
1:53:59the tags we have and let's plan out
1:54:01something using that Tik Tok agent or
1:54:03even our other agents. I don't think
1:54:05maybe our other agents will help, but I
1:54:07think the Tik Tok agent is the main one
1:54:09as I know the Dumb Money channel is
1:54:11getting most of their alpha from Tik Tok
1:54:14these days. And I I've tested it by
1:54:16hand. It works. This is This works
1:54:18really well. It just takes time. So, if
1:54:21I could have some AI agents doing this
1:54:23for me 247 and every morning, I could
1:54:25just pop in and see. Damn, look at that.
1:54:28These are some new discoveries here.
1:54:30Okay, I think you get it now. All right,
1:54:31so I'm going to use plan mode here.
1:54:33Again, I showed you plan mode earlier
1:54:35today, but this is a project I really
1:54:38really wanted to build out here. Um, I'm
1:54:41very inspired by their approach to the
1:54:42market and they're they're beasts.
1:54:44They're beast. you know Chris Camilillo
1:54:46probably, but if you don't know Chris,
1:54:48then you should definitely learn from
1:54:49him because he's a beast. Okay, so I've
1:54:52got that project underway. So I want to
1:54:54keep going here and um
1:54:58yeah, dude,
1:55:00this is fire. So she Oh, I didn't do
1:55:03plan mode. [ __ ]
1:55:07So let's do that. Uh and then remember
1:55:11it's shift tab. Shift tab a few times.
1:55:14Okay, now it's in plan mode.
1:55:17Beautiful, beautiful, beautiful. Oh my
1:55:19god, I didn't even show you guys this
1:55:21though. Inside of this GitHub here, look
1:55:24at this, dude. Look at this. I can have
1:55:26an agent run for me 247. Remember, the
1:55:29process of automating your trading is
1:55:31research, back test, and then implement.
1:55:32Research, back test, and then implement.
1:55:34This process here of back testing takes
1:55:36forever. Took me eight hours to do by
1:55:38hand. You saw me do a bunch of them
1:55:39today already. Um, just because Quad
1:55:42Code is sick, but we didn't have that
1:55:43before. So, what I did is I built an
1:55:45agentic loop here that will go ahead and
1:55:47back test any idea that I want forever.
1:55:51It's so sick, dude. Oh my god, this
1:55:53stuff blows my mind. Copy path here. And
1:55:56I can just say CD up into here. Okay,
1:56:00T for TFlow Python. Run it. And then
1:56:03it's going to sit here and it's going to
1:56:05back test any ideas that I have.
1:56:08Literally, it's going to research the
1:56:09idea that this what I do. Research,
1:56:11research, research. And then it's going
1:56:13to back test. It's going to code the
1:56:14back test. And then it's going to debug
1:56:16the back test. So sick, dude. So all I
1:56:19have to do here is I go here and I say
1:56:22under data under RBI agent. Let's go
1:56:24find it. RBI agent, where are you?
1:56:26There's so much here. Agents. Okay. And
1:56:29then under um ideas. So any idea I put
1:56:33in here, it will go ahead and back test.
1:56:37So I've got a bunch of ideas here. I'll
1:56:40just uh let me go ahead and just select
1:56:42a ball
1:56:52and I have this
1:56:55I forget how to use it. Um command
1:56:57shift.
1:57:05So any idea I say here it'll start
1:57:07going. You can see it's already going.
1:57:12So, it's testing four different ideas.
1:57:14Every line here is a different type of
1:57:17idea, trading idea. So, now I have a
1:57:20aentic flow that will sit here and
1:57:22literally back test for me all day long.
1:57:26And it'll just output the winners
1:57:30all day long. All day long. It's
1:57:32amazing. So, again, this process used to
1:57:35take me eight hours. Now, it just takes
1:57:37me a few seconds to put a new idea in
1:57:39here. And now we have 15 different ideas
1:57:42being back tested. You can see she's
1:57:44using Grock, which is X AIS or Twitter's
1:57:47AIS um AI. So sick. So now you know
1:57:52exactly how to use the RBI agent. And
1:57:54again, this RBI agent is already in the
1:57:56GitHub. So this exact uh not this
1:57:59GitHub, there's two GitHubs, right? I
1:58:01have the TradingBot GitHub and then I
1:58:02have the AI agent GitHub. Both of them
1:58:04are 100% private and you cannot have
1:58:06access to them unless you're on the
1:58:08inside. Let's go find the hyperlquid or
1:58:11not the hyperlquid, the AI agents, moon
1:58:13AI agents here. And you can see this is
1:58:15the code that I'm using. Some of you
1:58:17have access to this. Some of you don't
1:58:19or most of you don't. Most people don't
1:58:21just because this stuff is super
1:58:23powerful, bro. I have a swarm agent here
1:58:25that I can set a swarm to any different
1:58:29a swarm analysis to anything really. I
1:58:31just bring her in. But here you can see
1:58:33the RBI agent multi PPP. This is all the
1:58:36code for it. So this is revolutionary in
1:58:38my mind because now I have an AI swarm
1:58:41that can back test any idea super
1:58:43quickly all day every day and nobody
1:58:46else has access to this. So that's
1:58:49amazing man. That's amazing. And you can
1:58:51see I have my different my stat arbs
1:58:53running as well. And we've built a bunch
1:58:54of back tests already. So you can see
1:58:56she's got 16 back tests she's working
1:58:58on. Up here I got Claude code. She's now
1:59:01finished with what I wanted her to do,
1:59:03which was go through this and see how I
1:59:06can use these tickers in order to find
1:59:09social arbitrage opportunities. I've
1:59:10read through the Tik Tok agent. Here's
1:59:12what I found. Current Tik Tok agent
1:59:14summary. It uses PI auto guey plus core
1:59:17graphics
1:59:19to control the browser, opens Tik Tok's
1:59:21for you page, and scrolls through
1:59:23videos, takes screenshots of videos and
1:59:26comments. Okay, so this makes sense. It
1:59:28only scrapes the for you page. the gap.
1:59:30Your agent can scrape videos, but it
1:59:33can't search for specific terms like
1:59:34sold out everywhere or Tik Tok made me
1:59:37buy. That's exactly what you want for
1:59:39social arbitrage. So, let's see here.
1:59:41I've analyzed a Tik Tok agent and
1:59:42created a plan. Here's the summary.
1:59:44Current problem. Your Tik Tok agent uses
1:59:45the for you. Okay. The plan is to create
1:59:47a social arbitrage folder with agents
1:59:49that search Tik Tok for up for each of
1:59:52your 22 tags. Extracts the brand/c
1:59:55company names. Okay. I mean, sick. If
1:59:59you could do this, dude. Should I use
2:00:01Selenium? Yes, if you can.
2:00:07Uh, 10 videos per tag, 25 videos per
2:00:10tag, 50 videos per tag. Okay, how often
2:00:13should this run? Uh, once daily.
2:00:19Yeah, that's fine. Okay, let's see if
2:00:21she could do this. I I'm a little
2:00:23skeptical if she could actually do this,
2:00:24but you can see how I use plan mode
2:00:26there to make sure we're on the same
2:00:27page.
2:00:32me go ahead and answer any questions
2:00:34here. Yeah, the AI agents GitHub is
2:00:36cooked, bro. It's only for members.
2:00:41Answer some questions here.
2:00:47Thanks, Dr. Moon. Let's keep going. It's
2:00:49never finished. Okay, look at this. Look
2:00:50at this. So, we got more. This is more
2:00:52of the plan mode.
2:00:54So, okay, we got all of the tags.
2:00:58Current Tik Tok agent opens for you.
2:01:01What's missing? No search functionality.
2:01:02Only scrapes for you. Proposed
2:01:04architecture here. Looks good. Create
2:01:07alpha tags. Okay. Brand extractor. Okay.
2:01:10>> A pair of shoes and they add the store.
2:01:12They're really at the store. You just
2:01:14don't have it yet. It ain't like that
2:01:15[ __ ] don't exist. It's just really at
2:01:17the store. That's how I looked at my
2:01:19whole life. If I want it, if I believe I
2:01:22can have it, then that's my reality.
2:01:29Okay, I'm gonna see if she can what she
2:01:31can do with this. This is interesting.
2:01:43Job's not finished, baby. It's never
2:01:44finished. Never finished. Lock in. Lock
2:01:46in.
2:01:50How was the process of moving to PR? It
2:01:52was a [ __ ] bro. Hella hoops you got to
2:01:54jump through. But it's done. It took
2:01:55about a year.
2:01:57You got to jump through hella hoops, but
2:01:59it's it's not it's not hard. It's just
2:02:01you got to get a lawyer. So,
2:02:11take the rest of practice off. You
2:02:12tired?
2:02:15Oh, man. Let's get it.
2:02:19What's the B algo? You got to build your
2:02:21own.
2:02:24Got to build your own.
2:02:27Thank you, Kelly. Appreciate you.
2:02:30Appreciate you, bros. 777. Much love.
2:02:32Let's get it. Let's get it every day.
2:02:41Let's get it, dude. Let's get it.
2:02:44How much are you spending on credits and
2:02:46subscriptions to run all this? Um,
2:02:50credits I am using $200 a month for
2:02:54cloud code, but then like this AI agent
2:02:57stuff probably like510
2:03:00when I run it a day, $5 a day probably.
2:03:03It's nothing crazy.
2:03:06Uh, links for everything are right here.
2:03:07So, I'm just dropping that into the
2:03:09chat.
2:03:10Uh, I know I threw a lot at you guys
2:03:12today. I've got some more I got to get
2:03:14done here. Um, again, like I said, I
2:03:16want to try to keep mixing in some like
2:03:19actionable teaching stuff so when you do
2:03:22log in, you get access to to everything.
2:03:25And um, yeah, I just want to make it
2:03:28phenomenal, dude. I want to make it
2:03:29phenomenal every time you lock in. So,
2:03:32much love to you. Uh, if you get in
2:03:34before the end, you do get you do get
2:03:37everything if you get in before the end.
2:03:38If you're on the outside, jump in.
2:03:42Jump in, dude. Jump in. You got access
2:03:44to everything. Uh, let's see here. How
2:03:46are we doing on time? I don't want to
2:03:48hold you guys too long. What did I say
2:03:51here? Mundave.com.
2:03:53What did I say this was going to tell?
2:03:5510 a.m. Eastern time. Okay. [ __ ] It's
2:03:57almost 10 a.m. Eastern time. Um,
2:04:01damn, damn. Damn. Time flies. I got a
2:04:03couple more things I got to get done
2:04:04first. Uh, let's see here.
2:04:18Oh my god, I've just I have I've had so
2:04:20many insights the last few days. My list
2:04:22is so long. I'm just trying to figure
2:04:24out what things I hit first. I'm trying
2:04:26to I've already hit some of the most
2:04:27important things. The stat arm, of
2:04:29course, the uh back test.
2:04:44Oh, I want to add that as well.
2:05:00Hyperlid leads liquidations. I don't
2:05:03know if you guys understand that, but
2:05:05they lead liquidations.
2:05:07So, this is an interesting idea that
2:05:10I've had. Um, with Hyperlid, they're the
2:05:13first ones to liquidate because they
2:05:14liquidate at 50%. So, I have an idea
2:05:17here of, and I'll just tell you it
2:05:19verbally because I don't have the time
2:05:20to get into it right now, but maybe in
2:05:22the next days I'll do it. Uh, I want to
2:05:24verbally tell you this idea I had. Uh,
2:05:27okay. So, if you've traded on Hyperlid,
2:05:29you understand that they liquidate
2:05:31people at 50%.
2:05:34Pony, how are you? Good to see you. They
2:05:36they liquidate people when you're down
2:05:3750%. So, what that tells me is they lead
2:05:41the liquidations. So, if you see
2:05:42hyperlquid liquidations come in,
2:05:47then you know that the Binance
2:05:49liquidations haven't come in yet. So, it
2:05:52may be I have to test this, of course,
2:05:54it may be a leading indicator of a
2:05:56cascade because if Hyperlid liquidates
2:05:59you at 50%.
2:06:01while everybody else liquidates you at
2:06:02100%. Well, if you start seeing
2:06:04hyperlquid liquidations come in, that
2:06:07may lead to Binance and OKX and other
2:06:10liquidations. So, I think that's a very
2:06:13interesting thing that I need to build
2:06:14into Quant app,
2:06:18but
2:06:20yeah, dude, there's
2:06:23I went over a lot today. I went over a
2:06:25lot today. Uh let's take a two-minute
2:06:27break. All right, two-minute break. Let
2:06:28me get some water.
2:08:50All right. So, I do want to test that
2:08:51idea real quick.
2:08:54I just I just I'm itching to test that
2:08:55one. Okay. So, you can see here the
2:08:58social arbitrage agent system is fully
2:09:00implemented. Here's a summary alpha
2:09:02tags. Uh, I'm gonna have to come back to
2:09:05this because this is super fire, but I
2:09:08think this is a full day. So, it's under
2:09:11social arbitrage. Perfect. So, we've got
2:09:14this teed up for another day,
2:09:16but you just come back to the live and
2:09:19you'll get access. You'll see everything
2:09:21if you're interested in this. I think
2:09:23this is very, very interesting.
2:09:26So, Jan 123 here. Uh, I already queued
2:09:30this up and I have a social arbitrage
2:09:32agent in my AI agents GitHub that I am
2:09:36super excited to run.
2:09:39Okay, but I want to go back to the back
2:09:41testing real quick. So, back testing
2:09:47s. Okay, perfect.
2:09:49Okay, so I have an idea here of
2:09:53that hyperlquid liquidations lead the
2:09:56cascades. Okay, so Hyperlquid liquidates
2:09:58people at 50% loss while everybody else
2:10:01liquidates you at 100% loss. So you got
2:10:03like Binance, OKX,
2:10:06etc. And essentially my hypothesis I
2:10:10want to test is can we see the
2:10:13liquidations come in on hyperlquid
2:10:16and then assume that if they start
2:10:18coming in at a small volume on hyperl
2:10:20liquid that the price will cascade that
2:10:23way and then the Binance liquidations
2:10:25will come in and once the Binance
2:10:27liquidations come in that's when we
2:10:29close the position. So, we would go with
2:10:30momentum. For example, if there's a
2:10:32bunch of long liquidations on Hyperlid
2:10:34specifically,
2:10:36then we'd enter and then close when
2:10:39there's long big big long liquidations
2:10:41on Binance. Now, obviously, we're going
2:10:44to have to start with like smaller
2:10:45hyperlquid liquidations.
2:10:48Maybe not even that small, like a couple
2:10:50hundred thousand and then assume that's
2:10:51going to be the start of the liquidation
2:10:53cascade. Launch five different agents
2:10:55here to test this theory out. Here is
2:11:00Here is the
2:11:04the calls you'll need for these
2:11:09getting the hyperlquid liquidation data
2:11:11separately from the other data, the
2:11:13Binance liquidation data.
2:11:19Okay, I'm gonna have her tee that off.
2:11:23Um, let's make sure that my API key
2:11:25>> I knew I was going to make it. I just
2:11:27ain't know how.
2:11:30I knew this world is what you make it.
2:11:32You create your own environment. It all
2:11:35starts with a vision.
2:11:37>> What you can imagine, you can create.
2:11:41>> Just got to make sure that my API keys
2:11:43are correct.
2:11:48>> It's not correct
2:11:50cuz I had to change it the other day
2:11:52because I showed you guys. I showed you
2:11:55my key. be I showed you my key, so I
2:11:58have to change it. Maybe you didn't see
2:12:00me show you your key. That's good.
2:12:04Okay, so let's close it out here. And
2:12:05then let's go to the uh examples here.
2:12:10Um, how do we get there?
2:12:13Have trading bots here.
2:12:18Um,
2:12:20where are those? I need the hyperlid.
2:12:24Okay, so stat
2:12:27so many things to run, dude. Code. Okay,
2:12:34let's go ahead and open that up here.
2:12:36There she is. So, liquidation's here.
2:12:40Uh,
2:12:48yeah, I'm going to tee this off so she
2:12:50can do this.
2:12:54liquidations there and then um
2:13:02copy path here as well.
2:13:05Okay. And then liquidations here.
2:13:11You can assume that I have my Mundv API
2:13:13key here. And then you can look through
2:13:15this directory how they called all that
2:13:16stuff. But uh those are different ways
2:13:18to get liquidations. Remember, you're
2:13:19going to get the liquidations from the
2:13:21hyperlquid and use that as the indicator
2:13:23to enter momentum and then you're going
2:13:25to close when those long liquidations
2:13:27happen or short liquidations will be
2:13:29long and short. Um, test different ideas
2:13:31across all five agents here, but with
2:13:34that premise that hyperlquid
2:13:36liquidations lead because they liquidate
2:13:37people at 50% and Binance and OKX and
2:13:40these other places, they they liquidate
2:13:43people to 100%. So, we're using the idea
2:13:46of hyperlquid liquidations being an
2:13:49indicator to cascades. Use five agents.
2:13:52You should have everything here um to
2:13:54order in order to run this. Okay. So,
2:13:56this is my last little project I want to
2:13:58do. [snorts] I know I threw a lot at
2:14:00you. I tried to get a bunch of stuff
2:14:01done today. And then also
2:14:04on top of that, I tried to uh teach some
2:14:07things, some updates here. Uh let me ask
2:14:09you one question.
2:14:11Uh, if you used everything you learned
2:14:13today, do you believe that you could
2:14:14automate your trading? You saw how to
2:14:16research. Do do you believe you can
2:14:17automate how you your trading now? You
2:14:19where to find ideas? Do you believe you
2:14:20could find new ideas? Do you believe you
2:14:22could back test now? Yes. Is there any
2:14:25yeses in the chat? Do you believe you
2:14:26could do this? You know, I got red
2:14:27blood. You got red blood. Throw a yes in
2:14:30the chat if you believe you could
2:14:31actually do this now. Yes. Okay. Okay.
2:14:33Let's get it. Okay. Great. Great. Great.
2:14:36You guys all said yes. Okay. Let's get
2:14:37it. Let's get it, dude. Are you guys
2:14:39excited? Yes. Yes. Yes. Come on. Let's
2:14:42get it.
2:14:44Okay. Perfect. Perfect. I just wanted to
2:14:46make sure that that I actually was able
2:14:48to get stuff done today while actually
2:14:51teaching at the same time. Um I think
2:14:53this is a better format because
2:14:57I go so fast and I'm building so many
2:15:00things that I sometimes am not able to
2:15:02get you guys up to speed. So, I'm just
2:15:04going to try to sprinkle in some some
2:15:06teaching here and there. Um,
2:15:11and since I got a bunch of yeses, I do
2:15:13have one more question for you.
2:15:16Can I spend 10 minutes here just going
2:15:17over I set up a special a special offer
2:15:20that nobody's ever seen before. It's a
2:15:22special package. Throw a one in the chat
2:15:24if that's chill. It'll be 10 minutes.
2:15:27One. Okay, Felix, let's get it.
2:15:29One. One. One.
2:15:33Sprinkling in lessons is good. Okay,
2:15:35great. I'm glad you guys like that
2:15:37format today. Um, like I said, you know,
2:15:39I've been setting up this mundab.com
2:15:41funding
2:15:43system here and you know, now I'm
2:15:45working with other people. Um, I see
2:15:47Kelly in the chat. So, a couple of other
2:15:49people are going to get funded or and I
2:15:52had to build out that system. So, I just
2:15:53took a couple days back to build that
2:15:55system out by myself. Uh, we should get
2:15:57back to normal programming here where
2:15:58I'm locked in every day. But, dude, it's
2:16:01actually I also had a thought. I might
2:16:03have to pull back on the streams. I
2:16:05might only do two, three streams a week
2:16:07because in the last couple days, I've
2:16:09gotten so much more done than I do when
2:16:13I have to speak through things. And
2:16:15somebody said that the other day.
2:16:16They're like, "That's our edge on you,
2:16:18Moon, is you have to talk through
2:16:20everything." And we get just go. And I
2:16:22haven't tested that theory out in years.
2:16:25In years, dude, every day I've logged in
2:16:27with you to show absolutely everything.
2:16:30So these last couple days where I didn't
2:16:32stream
2:16:34in all honesty, I got more done.
2:16:38But the way I look at this, dude, is
2:16:41my time when I stream. If I show you
2:16:44guys everything, it's not just about me.
2:16:46I believe code's a great equalizer. I
2:16:48was scared my entire life to learn how
2:16:49to code. So when I find a big unlock
2:16:52like that, I have to share it with my
2:16:53friends. My friends don't give a [ __ ]
2:16:56But you guys found me on YouTube. You
2:16:58guys found me on YouTube, so I know you
2:16:59give a [ __ ] you actually want to
2:17:01automate your trading. So yes, I might
2:17:03go slower when I'm on stream because I
2:17:05have to speak through things, but I'm
2:17:07helping people. And to me, I'm a like
2:17:10I'm a teacher at heart. So I want to
2:17:12help people. I believe codes great
2:17:13equalizer. If I have an unlock that
2:17:16blows my mind, I want to help you guys.
2:17:17So since you guys threw in in the chat
2:17:20here that you do want me to go spend 10
2:17:22minutes to go over this, let me go ahead
2:17:24and make sure you have all of the stuffs
2:17:25here. I see Wishy just got here. Good
2:17:27morning.
2:17:30Let's get it. You are great. Respect.
2:17:32Thank you.
2:17:35[snorts] Okay, so let me spend 10
2:17:37minutes going over this. Um, let's see
2:17:39here. I did say we'd get off by
2:17:4311:00 a.m. 10. Sorry, it's 11:00 a.m.
2:17:45here, but it's 10:00 a.m. East Coast
2:17:48time. Why is it that way? I don't know.
2:17:52I feel like no island changes times. So
2:17:55Hawaii does the same thing I think.
2:17:58Does Hawaii
2:18:01participate? Yeah.
2:18:04In daylight
2:18:06savings.
2:18:08Yeah. Daylight savings is not observed
2:18:10in Hawaii or Puerto Rico. So no islands.
2:18:13It seems like islands just don't mess
2:18:14with that.
2:18:18That's crazy, bro. I wonder why this
2:18:22island life is too chill, bro.
2:18:28All right, let me spend that 10 minutes.
2:18:29Um, okay. I got this new page here, moon
2:18:31mundave.com. And nobody's seen this
2:18:33before. Nobody's seen this. This is
2:18:34brand new. Nobody's seen any of what I'm
2:18:36about to show you. So,
2:18:39it's mundave.com.
2:18:42And I'm going to drop the links one last
2:18:44time.
2:18:45One last time. I'm going to lock in for
2:18:47this 10 minutes to explain everything
2:18:48here.
2:18:51Yeah, we never change clocks. But what
2:18:53happens is I'm on East Coast time for
2:18:55half the year and then this half of the
2:18:57year is hard for me, bro. Because I'm
2:18:59one hour ahead of East Coast. And I'm
2:19:01trying to respect you guys' sleep a
2:19:02little bit.
2:19:04So like I'm up here. I'm at up at like 5
2:19:076 a.m. and that's like 4 4 5 a.m. East
2:19:10Coast time or like 1 2 a.m. Pacific
2:19:14time. I'm from I'm from the West Coast,
2:19:15too. So I feel extra bad how early I get
2:19:18on, but I'm itching when I wake up. So,
2:19:20I'm just been I've been like during this
2:19:22six months, I'm like stalling in the
2:19:23morning to like go do something else, go
2:19:26work out, go take an extra long walk,
2:19:27yada yada.
2:19:30Island life, people aren't forced to get
2:19:32that eight hours of working like
2:19:33capitalist system and continental. It's
2:19:36true, Grover. That's true. That's very
2:19:38true.
2:19:39Yeah, we're just we we uh we work too
2:19:43hard in the other world. I don't know. I
2:19:46don't I don't really think it's too
2:19:47hard, but I like it. I like it. I like
2:19:48stepping on the gas, but I also
2:19:51appreciate the things I've learned from
2:19:53PR. PR stands for patience required. And
2:19:57that's a really, really good thing to
2:19:59learn as a trader
2:20:01because none of us are really that
2:20:02patient.
2:20:11It's not for nature. Okay, I'm gonna
2:20:12drop this in here and then I'm going to
2:20:13show you this. Uh, it'll be like 10 15
2:20:16minutes. Okay. So, if anybody jumps in,
2:20:18this is brand new here. Um, this is that
2:20:22special package I set up for you guys
2:20:24only. So, mundab.com
2:20:28win.
2:20:30Okay. So, what I want to do is I want to
2:20:32go through this step by step.
2:20:34I'm going to show you everything you're
2:20:36going to get with this neverbeforeseen
2:20:39package
2:20:40that only you guys get to see
2:20:44there. You don't have the link yet. You
2:20:45don't have the link? Nobody has the link
2:20:47yet. I'll give you the link later.
2:20:50I know you heard of the MLK deal, all
2:20:52that. I know I've been spamming you all
2:20:54over the place, but nobody's seen this.
2:20:56Nobody's seen this, dude.
2:21:01So, of course, you're going to get the
2:21:03algo trade camp.
2:21:05I know I just throw threw a lot at you
2:21:07and I I really truly hope that you can
2:21:09just go step on the gas today with that
2:21:10road map
2:21:13and every all the tips I gave you today,
2:21:15but I wanted to put this special
2:21:17together for you guys because you guys
2:21:19lock in with me all the time. So, let's
2:21:21get it. You're going to get the Algo
2:21:24Trade Camp and that's a $3,000 value.
2:21:26You can go look at the reviews on the
2:21:27internet, but the AGO Trade Camp is
2:21:30pretty much a culmination of everything
2:21:31I know when it comes to automated
2:21:32trading and is teaching you, even if you
2:21:34don't know how to code, how to automate
2:21:36your trading. Step by step, I hold your
2:21:38hand.
2:21:39>> Your time is limited, so don't waste it
2:21:42living someone else's life.
2:21:44>> That was Steve Jobs, and he says, "Your
2:21:45time is limited, so don't waste it
2:21:47living someone else's life." If you
2:21:49truly want to be a trader, you have two
2:21:52options right now. Option one, stop
2:21:54trading or option two, approach it
2:21:57quantitatively. I showed you how to
2:21:59research. I showed you where to get
2:22:00ideas. I showed you how to back test. I
2:22:02gave you the code for the back test. I
2:22:05gave you the step-by-step plan for
2:22:07building out actual bots. But in the
2:22:09ALGO Trade Camp, this is a six-w weekek
2:22:12stepbystep
2:22:14videos that show you even if you don't
2:22:16know how to code, I I show you how to
2:22:17use AI so it code for you. You just have
2:22:19to come with the ambition and the ideas.
2:22:22So, that's what the Algo Trade Camp is.
2:22:23It's 60 different days of step-by-step
2:22:27videos. And in the first 15 days, that
2:22:30first 15 days shows you how to automate
2:22:31your trading. Days 15 to 60 are because
2:22:35I'm I'm not your guru. I'm chasing Jim
2:22:38Simons. He has 31 or he had $31 billion.
2:22:40He passed
2:22:42$ 31 billion. I don't have a billion
2:22:44dollars. So, I have a long ways to go.
2:22:47But what happened is I shared all this
2:22:49on YouTube because I spazed out. I was
2:22:51excited, dude. Dude, anybody can learn
2:22:53how to code. That's what that was my
2:22:54realization.
2:22:56I didn't know how to code. I spent
2:22:57hundreds of thousands of dollars on
2:22:58Upwork developers to code out apps for
2:23:02me because why would I learn how to
2:23:03code? Well, you have to learn how to
2:23:04code if you actually want to automate
2:23:05your trading because you have to build
2:23:06your own edge. You have to have your own
2:23:08ideas. You have to keep that close to
2:23:10your chest. But that unlock to me was
2:23:12like, dude, I'm the computer guy of my
2:23:14friends. I'm the one who's run up bags
2:23:16on businesses after business of my
2:23:19friends and none of my friends ever want
2:23:20to do this. So [ __ ] I'm just going to
2:23:22show it on YouTube and see who shows up.
2:23:25And you guys are here. So I'm sure
2:23:28you've looked at your friends before and
2:23:29been like, "Bro, try this. I'm doing
2:23:30this. It's working. Y try this." They
2:23:32just don't want to do it. They're not
2:23:33interested. But that's the beautiful
2:23:34thing about the internet and YouTube is
2:23:37you guys all found me somehow. And while
2:23:40I was figuring out how to code on
2:23:42YouTube and then how to automate my
2:23:43training on YouTube,
2:23:46well, guess what? A lot of you guys
2:23:49found me and you're like, "Moon, please
2:23:51put together a boot camp. Put together a
2:23:53course. Show me this step by step
2:23:54because you're just I I see that you're
2:23:56a regular person just like me. I see I
2:23:58could do this. I just need you to hold
2:23:59my hand." So, what I did is I did that.
2:24:03I finally built a a boot camp. It was a
2:24:0515-day boot camp that showed anybody how
2:24:08to automate their trading step by step.
2:24:13And that's the Algo Trade Camp. It holds
2:24:16your hand through the entire process.
2:24:17It's a $3,000 value. It could be way
2:24:19more than that simply because it's I
2:24:22would have died to have this from the
2:24:24guy that t that inspired me, but he
2:24:26wasn't sharing anything. Wall Street
2:24:28will never share anything with you. They
2:24:29don't want you to win, dude. I want you
2:24:31to win. I want you to have success. I
2:24:35want you to have this light bulb that
2:24:36goes off in your head like, damn, I can
2:24:38automate my trading, too, as long as I
2:24:40follow this system that Moondev shows me
2:24:42step by step. I don't have to have that
2:24:46anxiety, that weight on my shoulders.
2:24:48Doesn't it feel good to just to just
2:24:51know for the rest of your life? You
2:24:52don't have to sit in front of those
2:24:54charts. You hear that noise in the
2:24:56background? Yeah. Those are people
2:24:57getting liquidated. People that are
2:24:59using 40x leverage getting liquidated.
2:25:01Yes, I hear it all day. You don't have
2:25:03to worry about that life anymore. You
2:25:05can take that that weight that's on your
2:25:07chest right now of like, am I going to
2:25:09win? Am I going to lose? Do I know if
2:25:11the price is going up or down? You don't
2:25:12have to make those decisions anymore.
2:25:14You're going to automate your trading.
2:25:15You're going to see if it works in the
2:25:16past. If it works in the past, it's much
2:25:18more likely to work in the future. I
2:25:19walk you through those steps step by
2:25:22step, even if you've never ever coded
2:25:24before. So, you get the algo trade camp
2:25:26that is going to take a five-year
2:25:28process and break it down into 15 days
2:25:32and then have an expansion pack to six
2:25:34weeks. So, you'll learn in the next 15
2:25:36days, but then there's more because I'm
2:25:39still here. I'm not going anywhere. And
2:25:41when I learn new things, I add it to the
2:25:42algo trade camp. That's at least a
2:25:44$3,000 value. I would have paid $50,000
2:25:48for this knowledge from that guy that
2:25:49inspired me, but he wouldn't tell me
2:25:51anything because he's part of Wall
2:25:52Street. He's one of those quants, dude.
2:25:54He's one of those guys that wants to
2:25:55say, "You can't do this because I went
2:25:57to Stanford." yada yada. Okay. Okay,
2:25:59bro. You're literally sitting there
2:26:00smoking a joint and I bought your crib.
2:26:02So, if I can buy your crib, then why
2:26:05can't I trade a billion dollars a day,
2:26:07too? You know, there's no difference
2:26:09between me and you. Doesn't matter where
2:26:12you are in this world. If you learn how
2:26:13to code, you can automate your trading.
2:26:15This is the exact blueprint. Algo Trade
2:26:18Camp. Go look at the reviews on the
2:26:19internet. But you're going to get way
2:26:21more than that. So you get algo trade
2:26:23camp that is going to revolutionize the
2:26:25way you trade for the rest of your life.
2:26:27You'll never have to click enter. You'll
2:26:30never get liquidated like these guys.
2:26:31You can hear them. You can hear them all
2:26:34day. The timing of this is perfect.
2:26:38Don't be one of those guys. Please. You
2:26:39get the I'll go create trade camp. I'll
2:26:41show you step by step how to automate
2:26:42your trading.
2:26:44But not only that, you saw some of these
2:26:46samples of what I know with AI. I've
2:26:49been using AI since the start. Dude, I
2:26:52got roasted, but I figured everything
2:26:53out when it comes to AI. So, I have AI
2:26:56master classes that will show you step
2:26:58by step how to have AI do the heavy
2:27:00lifting.
2:27:02That's at least $1,000 value. Arguably
2:27:05more. So, we're at $3,997.
2:27:07Dude, this is going to show you how to
2:27:09automate your trading and then show you
2:27:11how to have AI do all the hard stuff for
2:27:13you. So, you don't know need to know how
2:27:15to code. And then I spent six months at
2:27:17least. Wish he was here. I definitely
2:27:19know Wishy was here. Wayne in the chat,
2:27:22Jane was here. There's a ton of us that
2:27:24were locking in for six months plus
2:27:26trying to figure out how to trade
2:27:28automatically with bots on Solana.
2:27:31We built a copybot and a sniper bot.
2:27:34They absolutely cleaned up. Now,
2:27:36Solana's kind of dead right now, but I
2:27:39think it's one of the best casinos. So,
2:27:42eventually,
2:27:43if it does come back, who's going to be
2:27:45ready? Me and you. because I have a
2:27:47step-by-step course that took six months
2:27:49of time and teaches you in a couple
2:27:52days. So, you can build bots not only
2:27:54for any exchange in the world because
2:27:56Algo Trade Camp shows you how to use
2:27:58CCXT which connects to Binance,
2:28:00Coinbase, all exchanges and then also
2:28:02shows you how to use Hyperlid so you can
2:28:04connect directly. You got AI that can
2:28:06help you along the way if you ever have
2:28:08any questions, but we're also there for
2:28:10you. We have a group of quants that are
2:28:12here in the chat with you all day. If
2:28:14you ever have questions, don't worry
2:28:16about it. we got you. But not only that,
2:28:18you also learn how to build onchain. So
2:28:21these are skills and these are skills
2:28:23that are insane and you need to have
2:28:25because guess what? Tomorrow the action
2:28:28might be on Solana.
2:28:31While right now we have to be able to
2:28:33short. You could hear all these
2:28:34liquidations. Those are short
2:28:36liquidations. Those are long
2:28:37liquidations. So the only way to win is
2:28:39short. Well, how do you do that? That's
2:28:40hyperlquid or a purpose exchange. I show
2:28:42you how to do all that in Algo Trade
2:28:44Camp. So now you know how to create bots
2:28:47for any exchange, but you also know how
2:28:49to create bots on chain with Solana.
2:28:51These are short, concise videos that you
2:28:52can watch at any speed in any language.
2:28:55This is at least a $5,497
2:28:58value. And that's because I would
2:28:59literally pay this if I could go back
2:29:01five years in time and just download all
2:29:03of the information. Oh my god. If I got
2:29:06what I'm giving you just now that's on
2:29:08the screen, that's worth so much money.
2:29:11That's worth 25 racks to me. But I know
2:29:14I know what's in there. And of course
2:29:15I'm biased.
2:29:18Let's keep going. There's more. There's
2:29:20more. I'm also going to give you a Poly
2:29:22Market trading bot course. So Poly
2:29:24Market is crazy. There are so many
2:29:27markets. There's so many markets
2:29:29available to trade. We've never seen
2:29:31anything like this and nobody else knows
2:29:33how to build bots for it. Some people
2:29:34do, of course, like Jane Street the
2:29:36funds, but they're never going to share
2:29:37it with you. I show you exactly how to
2:29:39build bots for Poly Market step by step.
2:29:42learn exactly how to automate your
2:29:44trading on Poly Market as well. So now
2:29:46you have a bag, you have a deep bag you
2:29:49can build for any crypto exchange,
2:29:51onchain, Solana, and Poly Market. Do you
2:29:54see how this is going to give you an
2:29:56edge while everybody else is just trying
2:29:58just figuring out what Poly Market is?
2:30:00You're already trading algorithmically
2:30:01on it. While everybody else is going to
2:30:04when meme season comes back, they're
2:30:06going to be trading on Solana by hand,
2:30:08getting absolutely wrecked. You're going
2:30:09to be looking at data they don't even
2:30:11know about. I show you all this.
2:30:14But not only that, I'm also going to
2:30:16give you unlimited private Zoom calls.
2:30:18So all like this call right now,
2:30:20everybody else has to pay for it. You
2:30:21get unlimited forever.
2:30:24And we'll have other events. Anytime
2:30:26that I have a Zoom event, you're in for
2:30:28free.
2:30:30And then on top of that, Quantite.
2:30:32People are literally paying $297 per
2:30:34month right now for Quantite. So, you're
2:30:37going to get the algo trade camp that's
2:30:38showing you step-by-step how to automate
2:30:40your trading. You're going to get AI
2:30:41master classes so you see exactly how to
2:30:43have AI code for you and do all the hard
2:30:46things for you.
2:30:49You've got the Solana CopyBot and Sniper
2:30:52course.
2:30:55You get the Poly Market Trademot course.
2:30:57It's insane. This is like you weren't
2:30:58able to do this a year ago, but now I'll
2:31:01show you how to do it in the next few
2:31:02days.
2:31:04You get unlimited Zoom calls and then
2:31:06you get Quantite. Quantite is special.
2:31:09Why? Because this is where I put my new
2:31:12bots, new back tests, and I've been
2:31:14doing this for years now. But not only
2:31:16that, I have multiple quants in here
2:31:18that are doing the same thing. So, every
2:31:20single day, we're uploading multiple
2:31:23times a week, new back tests. We're
2:31:24reading papers, doing the RBI system for
2:31:27you, researching, back testing,
2:31:29implementing, and anything that we come
2:31:31up with, we add here. And we've been
2:31:33doing this for years. So there's over
2:31:35300 pieces of code, back test, bots,
2:31:39algos,
2:31:40data. This is two gigabytes of
2:31:42liquidation data, dude. That would cost
2:31:45$10,000.
2:31:52>> This is what I believe
2:31:54and I'm willing to die for it.
2:31:57>> Period.
2:31:58>> I'm willing to die for this, dude. I'm
2:32:01chasing a $ 31 billion man. Of course,
2:32:03I'm willing to dive for this. So, I
2:32:05built a team years back that are always
2:32:07researching, always back testing, and
2:32:09always dropping the code. This is code
2:32:11for me, by the way. I hired these quants
2:32:15for me. But I put them into a channel
2:32:18with all of us. So, we have the members
2:32:21chat. Of course, you're going to get
2:32:22access to members chat, but you also get
2:32:24two plus years of us dropping multiple
2:32:27times a week. So it's 300 plus back
2:32:31tests and this is where I put my new
2:32:32code each week in quantite and then
2:32:36quantite also gives you access to those
2:32:38GitHubs you are seeing. So you can see
2:32:40this value is $13,511
2:32:42right now and I would pay that right
2:32:44now. If I can go back in time five years
2:32:46I would pay that. No doubt I'd pay
2:32:48double that.
2:32:50But I wanted to make this even better.
2:32:52So let's just keep making it better.
2:32:53Let's make it better and better because
2:32:55I believe code is a great equalizer. I
2:32:56believe if you have everything I have,
2:32:58then you could do things much better
2:32:59than me. Okay, so bonus number one, I'm
2:33:02going to give you the Mundv vault, which
2:33:03is insane. And people have been asking
2:33:05for this, but you only have 45 minutes
2:33:07to get in. So, I got to get through this
2:33:08because um the timer has already
2:33:10started. So, the Mundev Vault is so
2:33:13sick. This is literally every single
2:33:15stream I've ever had that is not on
2:33:17YouTube anymore. It's two terabytes of
2:33:19data, two terabytes of videos. You get
2:33:22to literally see the entire breakdown of
2:33:24everything I've ever built, ever.
2:33:26Everything I've learned in order to
2:33:28build out the ALGO Trade Camp. I did it
2:33:30live on stream,
2:33:32but YouTube made me take down all my
2:33:34videos. I have a few videos left, maybe
2:33:36a hundred, but I had I used to have a
2:33:37thousand. Here's two terabytes of my
2:33:40past videos. So, you can really dive
2:33:42into the weeds here. You can throw this
2:33:43in the AI, whatever you need to do.
2:33:45That's a bonus if you jump in in the
2:33:47next 45 minutes.
2:33:50That's just one of the bonuses. There's
2:33:51multiple bonuses. Bonus number two, you
2:33:53get the Mundv API key. So, this is a
2:33:56$10,000 value simply because that's what
2:33:58I'm going to be selling it to the banks
2:34:00and hedge funds for. And literally this
2:34:02liquidation data that you get is $10,000
2:34:06on Coin Glass. If you go to Coin Glass,
2:34:08you'll be able to see that they give you
2:34:1012 days of data for $10,000. $900 a
2:34:14month. I give you 18 months of
2:34:16liquidation data, plus I give you the
2:34:18API key that powers the quant app and
2:34:20the hyperlquid data layer. All of these
2:34:22secret data sources that nobody else has
2:34:24access to, you get access to that with
2:34:26the API key.
2:34:29But that's a that's just a bonus because
2:34:31this is revolutionary. You're going to
2:34:32learn exactly how to automate your
2:34:34trading, use AI,
2:34:36but on top of that, as a bonus, you get
2:34:38the Moonv API key. That's sick. Another
2:34:41bonus, you get my trading bot GitHub. If
2:34:43you saw my trading bot GitHub, there's
2:34:45another 100 plus back tests in there.
2:34:47There's a ton of different templates in
2:34:49there, trading bots here. You can go to
2:34:51back test. There's so many great ideas
2:34:54here. Nothing is plugandplay. Make a
2:34:56million dollars overnight. But you can
2:34:57see there's hundreds of back tests. I
2:35:00can scroll through forever here. You get
2:35:01access to this private GitHub.
2:35:04And then a lot of people ask me, can you
2:35:06trade on different exchanges? Look, I
2:35:08got Binance, I got Extended, I got
2:35:09Habachi, I got Hyperlquid. All of the
2:35:12code is here. So you don't have to spend
2:35:14five years doing all this. No, dude. You
2:35:16just have to go ahead and find your own
2:35:18edge and you have everything else built
2:35:20out for you. That's insane. And then on
2:35:22top of that, I have interactive brokers.
2:35:24So if you want to trade futures or
2:35:26stocks or options, I got all that code
2:35:29here. This stuff was so hard to build.
2:35:31It was so hard to build. And you could
2:35:33go ahead and you I gave you the
2:35:35information. I gave you a lot of
2:35:36information today. You could go ahead
2:35:38attack this for the next five years to
2:35:40try to catch up to me. But by the time
2:35:42you catch up to me, I'm going to be on
2:35:43my 10th year. And everybody inside the
2:35:45boot camp, they're going to they're
2:35:47going to have my 10 years of experience.
2:35:49You see what I'm saying? So, you have
2:35:51two options. You could be a doer or a
2:35:53dabler. If you want to dabble, you can
2:35:54dabble for as long as you want, dude.
2:35:56But I made this easy for you. You think
2:35:58you can't do this, dude. I got held back
2:36:00in seventh grade.
2:36:03I still read backwards.
2:36:06You got this, bro. I believe in you. And
2:36:09think about it. If all this package did
2:36:11was this, the algo trade camp, if all it
2:36:13did was automate your trading, would it
2:36:15be worth $31,000? I don't know about
2:36:18you, but I used to get liquidated for
2:36:20$31,000 on the weekly.
2:36:23On the weekly when I was trading by
2:36:25hand.
2:36:27So, would it be worth it? Yes, of
2:36:29course.
2:36:31If all I did was teach you how to use AI
2:36:33to be able to code 100 times faster,
2:36:35would it be worth it? Yes. If all this
2:36:38did was give you one profitable Poly
2:36:40Market or Solana bot, would it be worth
2:36:42it? Yes. Now, there's nothing
2:36:45plugandplay, but I have a ton of ideas
2:36:47and a ton of infrastructure already
2:36:49built for you, and I show you step by
2:36:51step how to go from non automated trader
2:36:54to fully automated trader, even if you
2:36:56don't know how to code. So, if you could
2:36:58rest assured for the rest of your life
2:37:01that you never have to trade by hand,
2:37:02you have systems that execute with no
2:37:04emotion, would it be worth it?
2:37:07Yes, dude. That's why the value is
2:37:08there. It's It's I would literally pay
2:37:10that today, but I want to make this so
2:37:12good. Here's another bonus. I'm going to
2:37:14give you my AI agents GitHub as well.
2:37:16This is one of the fastest growing
2:37:17GitHubs in the world, but I had to take
2:37:19it down. I had to take it down. There's
2:37:21too much sauce in here. I actually got
2:37:23hacked,
2:37:24so I had to take it down. But there's
2:37:26too much good stuff. You saw the RBI
2:37:28agent here. She just back tested 16
2:37:30different ideas. She's done. So, while I
2:37:33was yapping, she was back testing.
2:37:35That's the RBI agent PP. You have full
2:37:39access to this. And then one of my other
2:37:41favorite agents here is a swarm agent. I
2:37:43can essentially launch a swarm of
2:37:45different AIS to take on any task.
2:37:48Anyway, there's there's 20 plus agents
2:37:49in here. I don't have the time to go
2:37:50through all of them right now as the
2:37:52timer is ticking and I haven't even
2:37:54given you the link yet. The fifth one is
2:37:56Quant App access. Quant app. You can go
2:37:58ahead and see how Quant App works here.
2:38:01I won't go too deep into it, but if you
2:38:02go to my YouTube here and go to uh
2:38:06playlist here, I have a full breakdown
2:38:08of Quant app. It should be somewhere
2:38:10around here.
2:38:12Quant app boot camp. You can go learn
2:38:15exactly how to use Quant app step by
2:38:17step. But um essentially, it helps you
2:38:19become a quant before you even know how
2:38:21to code. So, this is a massive
2:38:26edge for hand traders, but in reality, I
2:38:29want you to become an automated trader.
2:38:31So, this is a $48,000 value. You do get
2:38:33quant app access for
2:38:36joining as a bonus. You get the AI
2:38:38agents GitHub. You get the trading bot
2:38:39GitHub. You get the Mundev API key. You
2:38:42get the Mundv vault.
2:38:45And then you get the core offer, which
2:38:46is the Algo Trade Camp. You get the AI
2:38:48master classes. You get the Solana
2:38:51copybot course and Sniperbot course. You
2:38:53get the Poly Market Trading Bot course.
2:38:55You get unlimited Zoom calls. And then
2:38:57you get Quantite. People are literally
2:38:58paying $297 every single month for this.
2:39:01But you get access to all of it. It's a
2:39:03$48,000 value.
2:39:06And that's not even egregious, dude. I
2:39:08would literally, if I could go back five
2:39:10years and learn everything I know right
2:39:12now,
2:39:14I would pay 50 I would pay $100,000.
2:39:17Dude, time is money. I lost my best
2:39:20friend staring at these damn charts,
2:39:21dude. Do you think I'm not I don't fully
2:39:24believe that I would pay $100,000 to get
2:39:26that time back? Of course. Of course,
2:39:29man. Of course. Come on, man. I know I'm
2:39:32biased. I know I know what's in there.
2:39:33You don't know. But I'm trying to
2:39:36emphasize how important this is to you.
2:39:38And there's a 100% money back guarantee.
2:39:40I know the timer is ticking. Um now,
2:39:43like this is the value. Now, obviously,
2:39:44I'm not just going to go ahead and
2:39:46charge this much because I I I believe
2:39:48code is a great equalizer, and I
2:39:51understand that this would be a
2:39:52expensive. It would be expensive no
2:39:54matter who you are. And I know I'm a
2:39:55random guy on the internet. I do back
2:39:57everything with a 90-day money back
2:39:58guarantee, of course. But, you know, I
2:40:01had two options. I could go I could go
2:40:03uh I could do some like broad super
2:40:06cheap thing where I can't really help
2:40:07people, or I could go deep and just
2:40:10overvalue this. And that's why I over I
2:40:12provided more value. I I threw more
2:40:15value than you could ever imagine, dude.
2:40:18I have the algo trade camp AI master
2:40:20classes. You see everything on the
2:40:21screen. I wanted to go deep. I wanted to
2:40:24make sure that you actually have success
2:40:25with automated trading. I didn't want to
2:40:27do some like cheap little like here go
2:40:29do it yourself. No, I want you in the
2:40:31community with me so you can ask
2:40:33questions. I want to surround you with
2:40:35great quants. I want to surround you
2:40:36with other people that are automating
2:40:38their trading too with the same
2:40:40information. So, I went deep. As you can
2:40:42see, this is the craziest offer ever.
2:40:45And, you know, I was like, "Okay, well,
2:40:47how can I make this a little bit more
2:40:48affordable?" Uh, obviously not going to
2:40:50change charge you $48,000. Although I
2:40:53would pay I would pay for it. But
2:40:58my two choices led me to going deeper
2:41:02because ask yourself this. If I had a
2:41:05profit if if you had a profitable
2:41:07trading bot if I had a profitable
2:41:09trading bot, would it be worth $48,000?
2:41:13Yes. Right. If you never had to stare at
2:41:15the charts again, have I opened the
2:41:16charts today? Have you seen me look at
2:41:18the charts today?
2:41:21If all you got was one profitable
2:41:23trading bot because I showed you the
2:41:25stepbystep
2:41:27method on how to find ideas that
2:41:30actually work, would it be worth
2:41:32$48,000?
2:41:35Yes. Or ask yourself, what would one
2:41:38profitable trading bot be worth?
2:41:41You answer that in your head, dude.
2:41:47It's not a cost. It's an investment.
2:41:49It's an investment in a different
2:41:51approach to trading. You know, trading
2:41:53works. It's just not working for you
2:41:55because you're trading with emotions.
2:41:57You're overtrading.
2:42:00>> Naturally, skill is only developed by
2:42:03hours and hours and hours of beating on
2:42:06your craft.
2:42:07>> And I've been beating on my craft for
2:42:08hours and hours and days and years.
2:42:12So, I can wrap it all up and give you
2:42:15something step by step and short,
2:42:16concise videos. I know the timer is
2:42:19ticking and you don't even know where to
2:42:20get it yet. This offer has never been
2:42:23shown, never been seen.
2:42:26Look, you got two options right now,
2:42:28dude. You could go keep trading by hand
2:42:31and lose all your money.
2:42:34Or you can become a quant once you say
2:42:36you're a quant. Okay, you have to learn
2:42:38how to code. Well, we got AI to code for
2:42:39us. Great. So, you could go to Upwork
2:42:41and say, "Hey, I'm going to hire some
2:42:42Indian off Upwork to hold this for me."
2:42:45But you have to leak your edge, number
2:42:46one, and you have to spend months, if
2:42:48not years, iterating with them until you
2:42:50get it right. Nobody's going to have a
2:42:51profitable bot to start. So really, this
2:42:53is your option. Lock in four hours a
2:42:55day. Two to four hours a day. That's all
2:42:57you need, dude. I've been doing four
2:42:58hours a day for five years, and
2:42:59everything I learned, you're going to
2:43:00learn.
2:43:02So do it yourself or do it with me. It's
2:43:06us versus Wall Street. I think you want
2:43:09to be on the same team, dude. I think
2:43:10you want to be on the same team.
2:43:14So, you see everything you get, right?
2:43:18You're going to get the algo trade camp.
2:43:20It's a six week step-by-step how to
2:43:22automate your trading, even if you don't
2:43:23know how to code. You get the AI master
2:43:26classes. You're going to have AI do all
2:43:27the heavy lifting for you. So, if you
2:43:29feel like, "Oh, I can't do this because
2:43:30I don't know how to code." Guess who
2:43:31does know how to code? AI does. And I
2:43:33show you exactly how to use her. You get
2:43:35the Solana Cobbot course and the
2:43:37Sniperbot course. So, when Solana heats
2:43:40up again, you're going to be already
2:43:41ready. you don't want want to be behind.
2:43:44And Poly Market is one of the most
2:43:46fascinating markets in the world because
2:43:47there's unlimited things to trade. You
2:43:49get access to that course as well. And
2:43:51you get all of these Zoom calls for free
2:43:53forever, dude. And then on top of that,
2:43:55this is so special. 300 bots plus back
2:43:57tests inside of Quantite now. And it's
2:44:00growing every single week. There's two,
2:44:02three, four different new bots, back
2:44:04test ideas that are posted in Quantite.
2:44:06And you get access to it for the full
2:44:08year. So, you get one year access to all
2:44:11of this above. And on top of that, you
2:44:13get the Moondev vault. You get the Mundv
2:44:16API key, you get the Trading Bot GitHub,
2:44:20you get the exclusive AI agent GitHub,
2:44:23and you get Quant App access. This is
2:44:25going to be sold for a minimum of $1,000
2:44:27per month. A minimum of $1,000 per
2:44:30month.
2:44:33Every single prop firm, every single
2:44:35trading desk will have to use Quant app,
2:44:38but you get access to it. Now, you can
2:44:40see I reset the timer because I know I
2:44:42yapped you. This is everything you get.
2:44:45Like I said, I'm going to try to make
2:44:46this a good deal. So, what I did is I
2:44:48said 50% off. Okay, $17,256.
2:44:55That math doesn't even math. That's not
2:44:5850%, dude.
2:45:02You get the point. 75% off. Okay, I know
2:45:06this is an investment, but I believe
2:45:07code is a great equalizer. I want to
2:45:09help people that may not be able to
2:45:10afford 75% off, dude. So, let's let's do
2:45:1585% off. It's math ain't mathing, but
2:45:17$5,000. Okay, that's actually a fair
2:45:19price. Let's do 5,000. Let's do 5,000
2:45:25and you get access for the full year
2:45:26instead of 48 G's.
2:45:29And like I said, I would pay 50,000. So,
2:45:32I'm trying to make this as broad as I
2:45:34possibly can without like taking the
2:45:37value down. So, I felt like 5,000 was a
2:45:40very fair price here. So, let's just
2:45:42stick with that. And then here's the
2:45:43link you can get to join. And uh nope, I
2:45:47want to make it even better, dude. I
2:45:48believe code is a great equalizer. 96%
2:45:51off, $1,500 onetime payment. You get
2:45:53access for the entire year. There's
2:45:55nothing else. You don't have to pay me
2:45:56anything for the rest of the year. You
2:45:58can see all of the uh testimonials here
2:46:01on the right side and the timer starts
2:46:03now. I'm going to open up Q&A. If you
2:46:05have any questions, please let me know
2:46:07in the chat. So, it's $1,500 to get in.
2:46:10This is how you get there. Nobody else
2:46:11has this link, bro. Nobody else has this
2:46:13link. Only you because you locked in.
2:46:16mundave.com/go.
2:46:20mundave.com/go.
2:46:23If you do want to take me up on this
2:46:24offer, uh like I said, there's doers and
2:46:27dabblers. If you've locked in for this
2:46:28whole time, I know you're a doer. You're
2:46:29not a dabbler. So 1,500 bucks when it
2:46:32should be 50,000. I would pay $50,000
2:46:35right now if I could go back in time.
2:46:36But I can't and you can't because I have
2:46:39the knowledge that you need to know in
2:46:41order to automate your trading. And I
2:46:43know for a fact that you can do this
2:46:45because I've watched hundreds of other
2:46:47people go through this exact training
2:46:50and have success. And you can read all
2:46:52the testimonials you want.
2:46:53mundev.com/go.
2:46:55And you don't even have to say yes right
2:46:57now is the thing.
2:46:59You just say maybe. Jump in. See if it's
2:47:02worth it. See if you have fun with it.
2:47:04You have to have fun with it, right? And
2:47:06if you have fun with it and it's worth
2:47:09it, then stay inside. There's a 90-day
2:47:11money back guarantee. So, you have 90
2:47:13days to go check it out. And this is a
2:47:14onetime payment. mundave.com/go.
2:47:17So, just go over to mundave.com/go.
2:47:19If you have any questions, let me know
2:47:20in the chat. You can see everything that
2:47:22you get here. And you may be saying,
2:47:25"Well, I can't afford $1,500 right now."
2:47:28You can't afford to ever ever trade
2:47:30again. If you can't afford $1,500 right
2:47:32now, you can't afford to ever trade
2:47:34again because you will lose that $1,500
2:47:35if you keep trading with leverage by
2:47:37hand. I promise you that. I'm not trying
2:47:39to be a Debbie Downer. Just is what it
2:47:41is. Look at your past results. You're
2:47:43wasting time and you're wasting money.
2:47:45So, 1,500. I built this for
2:47:48members because I understand a lot of
2:47:50members are paying $300 a month right
2:47:52now. I wanted to give you a fat
2:47:54discount. Quantite is $300 a month. Some
2:47:57of these bonuses you don't have access
2:47:58to anywhere else. The API key, the trade
2:48:01by GitHub, the AI agents, the quant app
2:48:04access. This stuff is not available
2:48:05anywhere else. So you might still think
2:48:071,500 is too much for you. So guess
2:48:09what? There's a payment plan as well.
2:48:10Two payments of $797.
2:48:13So 1,500 today or pay a little bit more.
2:48:15$94 more and there's two payments. Hey.
2:48:18Oh, but I can't afford 797. Stop
2:48:21trading. first off. And if you can't
2:48:23afford 797, there's even if you're in
2:48:26the United States here, you can use CLA
2:48:31and get payments, make payments off of
2:48:34CLA.
2:48:36Oh [ __ ] I just bought it.
2:48:42I was trying to show you the payments,
2:48:44how much the payments are going to be,
2:48:45but you'll have to check that out on
2:48:47your own time. Pay
2:48:51There should be a pop-up that shows you
2:48:52the payments. But CLA is pretty nice. So
2:48:54you can actually use our two pay option
2:48:56and then cut that into even smaller
2:48:58payments, which is pretty crazy if you
2:49:00live in the United States. But if you
2:49:01don't live in the United States, you
2:49:02have a credit card. You have expendable
2:49:04income. We all do. I spent so much money
2:49:06on Uber Eats. I'm sure you can go ahead
2:49:08and look around, see where you can
2:49:09tighten up a little bit. But I made this
2:49:11the absolute best offer possible because
2:49:13I believe coach is a great equalizer.
2:49:15And if I can just give you all the
2:49:16information that I know, all the things
2:49:18that I've tested, then I can help you
2:49:20get up to speed with me faster, and then
2:49:22I'm going to keep running after Jim
2:49:23Simons. And if you have questions, let
2:49:25me know. Let me know in the chat. A lot
2:49:28of people look at money as a as
2:49:30something that they need to hoard. And
2:49:32it's just money is just a tool of
2:49:34exchange, dude. That's all it is. You
2:49:36exchange money for food, you get your
2:49:37food. Perfect. You're happy.
2:49:39But a lot of us spend money on like
2:49:41drinks or money on things that we don't
2:49:43get anything back, right? Like if you
2:49:46spend the money today, you're going to
2:49:49get five years of knowledge and short
2:49:51concise videos plus data
2:49:54plus API keys plus GitHubs actual code.
2:49:59It's unbelievable. And it's not [snorts]
2:50:01now you're not just spending expendable
2:50:04income and not getting anything back for
2:50:05it. You got 40 minutes to decide here
2:50:07and you got my full attention if you
2:50:09have questions. It's mundave.comgo
2:50:13in order to get there.
2:50:15httpsmundave.comgo
2:50:20and nobody else knows about this. So
2:50:23I mean if you guys want in, you got 40
2:50:25minutes to ask me any questions you have
2:50:28or anything really.
2:50:30That's the link. mundav.com
2:50:33pony's in. Let's get it. Pony, let's go.
2:50:35Let's go. Pony says he just got it. Just
2:50:38bought. He's in. Perfect, dude.
2:50:40Congrats, bro. He's been He's been here
2:50:42locked, dude. He understands that
2:50:46that it's not it's okay. It can be
2:50:48expensive depending on where you are in
2:50:50your life, right? But you're investing
2:50:52in a new approach to trading. It's
2:50:54really a lifestyle change because today
2:50:57you became a coin and now for the rest
2:51:01of your life you can see does this
2:51:06strategy actually work or if I've been
2:51:08wasting my years trading strategy
2:51:10doesn't work. Does this idea work in the
2:51:12past? If it does okay let me build it
2:51:13into a bot.
2:51:15Let's see if it works in the future.
2:51:17Let's take all emotions out of this
2:51:19trading. Let's not overlever.
2:51:22Let's not do what everybody else does.
2:51:23Jim Simons says, "Don't do what others
2:51:25do. If you do that, you're going to get
2:51:27smoked. You're going to lose all your
2:51:29money. So, would you rather spend 1,500
2:51:32bucks on learning how to automate your
2:51:35training for the rest of your life so
2:51:36you can fish for the rest of your life?
2:51:38I'm not going to give you something
2:51:39plugandplay that you just run." No, of
2:51:41course not. That would be silly. That
2:51:43wouldn't even be worth it because guess
2:51:45what? If everybody's running the same
2:51:46bot, that will eventually go to zero.
2:51:48So, this is actually a much better offer
2:51:50than me saying, "Hey, pay me $1,500 and
2:51:52I'll give you a profitable trading bot."
2:51:54Because that profitable trading bot
2:51:55would be sold to everybody else. It
2:51:56would go to zero and then you would be
2:51:58[ __ ] out of luck for the rest of your
2:51:59life. But this, I'm actually teaching
2:52:00you how to automate your trading and how
2:52:03to come up with your own edge. That's
2:52:05amazing. It's an investment.
2:52:10>> Right.
2:52:13You give up the slightest struggle
2:52:16>> 100%. with discipline. Doing what you
2:52:18hate to do, but do it like you love it.
2:52:20>> Doing what you hate to do, but do it
2:52:22like you love it. That's that is a great
2:52:25quote. [clears throat]
2:52:26>> And if you can do that, you could be
2:52:28successful in anything.
2:52:29>> Well, you know, you know, you normally
2:52:30are. You normally are, but you need a
2:52:32you need a support system at the end of
2:52:34the day. You need a community like us
2:52:36that will be there in your corner. Dude,
2:52:39finance is gross, bro. Finance is nasty.
2:52:42It's a scarcity letter industry, bro.
2:52:44Scarcity le industry. They don't want to
2:52:46see you win. Nobody wants to see you
2:52:48win. I want to see you win. Why? Because
2:52:50if you win, we win. Cuz we're doing this
2:52:53together. I always say this. I don't
2:52:55want your money. I want your mind. But I
2:52:57don't want the mind of people that won't
2:52:59invest in a better way of trading. Like,
2:53:02I don't want to That's why I don't I
2:53:03don't even look at YouTube chat anymore,
2:53:05dude. Because these are just a bunch of
2:53:07people that just have comments to say
2:53:08about whatever. They're not even
2:53:10automated traders. Don't listen to
2:53:11anybody that's not ahead of you. That's
2:53:14why I hear Mike Tyson all day. I hear
2:53:16Jim Simons all day. I hear Kobe Bryan
2:53:18all day. I hear Will Smith all day. I
2:53:20surround myself with people that are
2:53:22ahead of me so I can go ahead and level
2:53:24up. I've told you this before, dude, but
2:53:26I spent $2,000
2:53:29on a course when I was 21 in college. I
2:53:34didn't have $2,000, dude. I was dead
2:53:36broke. I was a college student. I made
2:53:39this $1,500 because I know a dead broke
2:53:42college student
2:53:44as I was spent $2,000.
2:53:49I spent $2,000 on a course that taught
2:53:52me how to build iPhone apps
2:53:54without learning to code. So what did
2:53:57that lead me to? I spent $2,000 on some
2:53:59education because some guy was making
2:54:01millions of dollars as a app developer.
2:54:05So, I I listened and I bought his
2:54:08course. It's 2,000. I didn't have that
2:54:102,000. I put it on a credit card. Why?
2:54:12Because I know I'm the type of
2:54:14individual that will make things happen.
2:54:16I just need somebody to show me how to
2:54:18do it. I would I will buy time any day.
2:54:21So, I put it at $1,500 because a broke
2:54:24college kid, me, was able to spend
2:54:27$2,000 on a credit card because I knew
2:54:29I'd step on the gas. Now, if you're one
2:54:31of those dabblers, don't spend this
2:54:33money on a credit card. Only use a
2:54:36credit card if you actually are going to
2:54:38automate your trading. You have the
2:54:40whole system now.
2:54:42There's not going to be any questions.
2:54:44And if there are questions, I'm there in
2:54:46the Discord with you all day, and you're
2:54:49going to be on every single one of these
2:54:50Zooms.
2:54:52You've got access to me. I've been doing
2:54:55this for 5 years. I'm not the best in
2:54:56the world. Of course not. Jim Simons is,
2:54:58but he died with a $ 31 billion net
2:55:00worth. And I'm not your guru either. I'm
2:55:02stepping on the gas every [ __ ] day,
2:55:04dude. And the things I learn, I put into
2:55:06the boot camp. Algo Trade Camp has
2:55:08everything.
2:55:10And then if it fits into the poly market
2:55:12train course, I put it there. Or if it's
2:55:14in the AI stuff, I put it there. Or if
2:55:15it's in the salon stuff, I put it there.
2:55:17All this data to get an edge research
2:55:19back implement. Well, how can I get a
2:55:21bigger edge than anybody else when I'm
2:55:22researching the same stuff everybody
2:55:24else is researching? Oh, what about if I
2:55:26launch a hyperlquid node so I can see
2:55:27things other people can't see? Come on,
2:55:29B. Come on, dude. I'm giving you
2:55:32everything I wish I ever had.
2:55:35wound.com/go. If you have questions, let
2:55:37me know. The money is going to come
2:55:39right back. You have the option right
2:55:40now. Are you want to spend the $1,500 on
2:55:42your next liquidation fee? You want to
2:55:45spend the next $1,500 on the next
2:55:47hundred trades you use as market orders?
2:55:49Like, that money is going to go away if
2:55:52you keep trading by hand.
2:55:54But if you spend $1,500 as an investment
2:55:57in a new way to approach the markets,
2:56:00it's going to replenish, dude. It's
2:56:03going to replenish. And you get your
2:56:04time back immediately. You get that
2:56:06stress and anxiety off your shoulders.
2:56:08You don't have to approach these markets
2:56:09by hand anymore. You don't have to
2:56:11pretend like you know which way the
2:56:12price is going to go. All that sound you
2:56:14heard in the background, dude, these
2:56:16were people getting liquidated. And
2:56:18guess what? Longs got liquidated
2:56:21and then shorts are getting liquidated.
2:56:23So, it's not like you're God or I'm God
2:56:26and I can pick which way the price is
2:56:28going to go. No, dude, I had to drop my
2:56:30ego. I had to re make the realization
2:56:32that dude, I don't know which way price
2:56:34is going to go. All I can control are
2:56:36the controllables.
2:56:38So, if a broke college kid can drop
2:56:40$2,000
2:56:41on a course and then run up millions of
2:56:44dollars off apps because of that course,
2:56:47me charging you $1,500 as as a 36y old
2:56:50man that I have to feed for my
2:56:52[ __ ] family for generations off
2:56:54this. I'm not playing around, dude. I'm
2:56:57chasing Jim Simons. He's a $ 31 billion
2:56:59man. It's the biggest reward in the
2:57:01world. Of course, I'm going to spend my
2:57:03later years, my second career here,
2:57:05automating my trading, dude. Of course.
2:57:08Of course. And now I've got systems that
2:57:10run for me 24/7, 365, and I have time to
2:57:13show you guys this. It was a
2:57:15mind-blowing thing to me that a regular
2:57:17dude that got held back in seventh grade
2:57:19that's dyslexic. I got all the excuses
2:57:21in the world. I can do this, dude. I
2:57:23need to tell you guys.
2:57:25And I hear stories. I see on the coin
2:57:28app. I see people getting liquidated. I
2:57:29hear people getting liquid all day. So,
2:57:31it's like those are my brothers out
2:57:32there that are just like me. They see
2:57:34the vehicle of trading. They know it's
2:57:36the way to go, but you're doing it
2:57:38incorrectly.
2:57:40The funds, the market makers, they're
2:57:41not they're not using 40x leverage. No,
2:57:43they're using automated systems.
2:57:46So, if you want to take my five years,
2:57:48learn everything. It's 1,500 bucks an
2:57:51investment. It's crazy. Again, I spent
2:57:54$2,000 from some guy that was building
2:57:55apps for two years. And guess what that
2:57:57led me to? It led me to build my first
2:57:59app. And I spent $15,000. So now I'm
2:58:02$17,000 in the hole as a broke college
2:58:04kid. You have no excuse.
2:58:07You got a credit card. You have
2:58:10expendable income.
2:58:12You can tighten up here and there. Me, I
2:58:15could tighten up so big on Uber Eats,
2:58:17dude. I could pay this off in less than
2:58:19a month. You got all the options in the
2:58:22world, but you also have all the excuses
2:58:23in the world. And that's cool if you're
2:58:25in the dabbler camp. I'm a doer. And I
2:58:27know most of you are are doers as well.
2:58:29I know Pony's a doer. He jumped in. You
2:58:31got 31 minutes. At the end of this, I'm
2:58:33gone. I you got 31 minutes to ask me
2:58:35questions, whatever.
2:58:38But at the end of this 31 minutes, this
2:58:40offer is going to be gone. I'm taking
2:58:42the page down. So, you can read what
2:58:44everybody has to say. You can even go to
2:58:46the website yourself and read through
2:58:48every single testimonial if you'd like.
2:58:50These are real people that are ahead of
2:58:52me. This guy went to Harvard. Like, I
2:58:55how am I able to help him? It's because
2:58:57this stuff there's so many intricacies
2:58:59that you're not even going to under.
2:59:01You're gonna have to figure out yourself
2:59:02if you don't just jump in. It's 1,500
2:59:04bucks and the money's coming back.
2:59:05There's a 90-day money back guarantee as
2:59:07well. So, if you think it's trash, then
2:59:09boom, get your money back. But I have
2:59:10literally 80 plus people that have said
2:59:14great things about this. And you know,
2:59:15most people don't leave reviews, dude.
2:59:18Like, what do you think the percentage
2:59:20of people that re leave reviews are? So,
2:59:23if there's 88 people here, you can see
2:59:26how many people have helped, dude.
2:59:29People just like you that found me
2:59:31somehow. I don't run ads, dude. There's
2:59:34There's some reason that you're here.
2:59:35You found me. You're looking for a
2:59:37better way to trade. So, kudos to you,
2:59:39dog.
2:59:41Cuz you are you're somebody who's
2:59:42stepping on the gas. You're a data dog.
2:59:44That's why I [ __ ] with you.
2:59:48You know you can do anything. I know you
2:59:49can, too.
2:59:51This structure that I provide is worth
2:59:54$50,000 in my mind. I would have paid 50
2:59:57racks.
3:00:00And I'm a believer in buying people's
3:00:02knowledge. Obviously, I spent 2K when I
3:00:04was a a kid, broke. So, guess what? It
3:00:08gave me his knowledge. I built an app.
3:00:09It actually didn't do well. But it led
3:00:12me to building a multi-million dollar
3:00:15business off apps. My first app didn't
3:00:16do well, just like my first bot didn't
3:00:19do well. So, I knew once I had to
3:00:21automate my trading, I knew I couldn't
3:00:23do this the Upwork way. I couldn't just
3:00:25hire people. No way. I couldn't just
3:00:27hire people because it's going to take
3:00:28iterations. My first app didn't work
3:00:29either. I was 17,000 in the hole. And
3:00:32and some of you are sitting here scared
3:00:34to put 1,500 down. I was 21 20 22 21
3:00:39years old. Broke college kid. I put down
3:00:41$2,000 to learn. And then I was so
3:00:44confident I put $15,000
3:00:46to hire a developer. But I'm giving you
3:00:48the opportunity to learn how to code
3:00:50your own stuff and all you have to do is
3:00:53invest $1,500.
3:00:55Even if you don't have that, there's a
3:00:57payment plan and there's something
3:00:59called a credit card. So if a broke
3:01:02college kid could do this, that's also
3:01:04playing division one basketball at the
3:01:07exact same time. It's not like I had as
3:01:09much time as you do. Or maybe you have a
3:01:11job and you're thinking, "Oh, I don't
3:01:12have enough Dude, I was playing division
3:01:14one basketball
3:01:16and I p spent $2,000 on a course to
3:01:19learn how to build apps and then $15,000
3:01:22on the app while I had full-time
3:01:24basketball practice, which is four hours
3:01:26a day. I had hour and a half of weights.
3:01:28I had two hours a day of tutor. I had
3:01:31two hours a day of study hall. I didn't
3:01:33even tell you about class, bro. So, you
3:01:36got too much on your plate. Okay, I did
3:01:38too.
3:01:39I did, too. And I still put my money
3:01:41where my mouth is, dude. I had I I seen
3:01:44this is the way. Okay, how am I gonna
3:01:46run up a bag on the internet?
3:01:47Everybody's making money off apps. Okay,
3:01:48let me go ahead and buy this course 2
3:01:50G's,
3:01:53then 15 G's to build the app. I had to
3:01:56make it happen. I like to burn the
3:01:58boats, baby. I don't know about you, but
3:01:59I'm the burn the boat type of dude. Let
3:02:01me spend this two 2K real quick and I
3:02:03know for a fact I'm gonna make it
3:02:04happen. And I did. I did. I spent
3:02:07hundreds of thousands of dollars working
3:02:08the developers and gave me the key
3:02:10insight that hey now that I'm in my 30s
3:02:13you know I didn't learn how to code till
3:02:15I was 30 but I was trading big size with
3:02:17leverage and I knew okay once I met
3:02:19homeboy that was smoking a joint trading
3:02:21a billion dollars a day oh I could do
3:02:23this now okay sick but obviously I can't
3:02:25do it my old way I can't go to Upwork
3:02:27and hire developers from India or China
3:02:29that will go ahead and ask me all the
3:02:31stupidest little questions no
3:02:38better and better
3:02:46catch on to this or they'll catch on to
3:02:48that. So you you just have to like in
3:02:50any business. In any business, you just
3:02:52have to make things better and better
3:02:54and better if that's what everyone else
3:02:56is trying.
3:02:56>> 777. Thank you, Jim. I did not time
3:02:58that. He timed it. He said, "You got to
3:03:00make systems better and better and
3:03:01better." So I spent a decade scared to
3:03:04learn how to code and be like, "Fuck
3:03:06this. I'm just going to hire people off
3:03:07Upwork." I spent hundreds of thousands
3:03:08of dollars. I made a bag off that.
3:03:10That's fine. But once I once I got into
3:03:12automated trading, I knew for a fact you
3:03:14would have to make your systems better
3:03:15and better and better and better and
3:03:17better and you have to iterate and
3:03:19iterate and iterate and iterate. You
3:03:21have more ideas, more ideas and more
3:03:23ideas. I'm five years in, dude. I
3:03:25probably would have spent $5 million by
3:03:27now on just developers. So, I couldn't
3:03:29do that. That's not that's not
3:03:30affordable. It's not affordable to
3:03:32attack this with paying developers. It's
3:03:34just not If you want to hire me, okay,
3:03:3725 racks, I'll build one bot for you.
3:03:38And that's not your first bot's not
3:03:40going to be good because your first idea
3:03:41is not going to be great. It's tough.
3:03:44It's tough, dude. But it it's a hard
3:03:46game. I I I show you step by step how to
3:03:49do it yourself so you can live forever
3:03:51and you can test forever and you can
3:03:54fish forever. You can find your own
3:03:56systems. Jim Simons, he's the man who
3:03:57ran up a net worth of $ 31 billion.
3:03:59Dude, he says you have to make your
3:04:01systems better and better and better
3:04:03because that's what everybody else is
3:04:04going to do. So, you can imagine going
3:04:06to Upwork and hiring somebody off
3:04:08Upwork. Okay, two grand to get the back
3:04:10test done. Okay, let's say five grand
3:04:12for the bot. Okay, the bot didn't work.
3:04:14Okay, let's do another two grand.
3:04:16Another two grand. Iterate, iterate.
3:04:17Another two grand. You got to make your
3:04:18systems better and better and better.
3:04:19So, you have to have control. And that's
3:04:22what got me to finally learn how to
3:04:24code. I'm sure you've been on Code
3:04:25Academy, all that good stuff, dude. I'm
3:04:27sure you've done all that. It's just
3:04:28like you churn because it's like I could
3:04:30hire somebody in India to do this. Now
3:04:33you have the information, but
3:04:34information alone is not going to do it
3:04:36for you, dude.
3:04:38You need a system and you need
3:04:40companionship and you need pre-made
3:04:43pre-made stuff that can help you
3:04:44accelerate your time because you have
3:04:46the option right now. Like you have a
3:04:48lot of the information. I dropped so
3:04:50much fire today on you. I showed you how
3:04:52to research, where to find good ideas. I
3:04:54showed you how to back test. I gave you
3:04:55the code. I showed you how to build
3:04:57bots. I built four or five bots today.
3:04:58Come on. But information alone is not
3:05:01going to do it. It's not going to do it.
3:05:04You need a coach. You need somebody
3:05:05who's already figured out an actual
3:05:07system that works.
3:05:11It's us versus them, dude.
3:05:13Us versus Wall Street. But in reality,
3:05:15it's us versus the dabblers because
3:05:17there's doers and dabblers. And I know
3:05:19you're not a dabbler
3:05:21cuz at this point, you've been here for
3:05:222, three hours. Of course, you're not a
3:05:24dabbler. If you got questions, let me
3:05:26know. We got 25 minutes. I'll answer
3:05:28every single question you have. But all
3:05:31you have to do is go to moonundep.com
3:05:33right now.
3:05:35You can see all of the testimonials, see
3:05:37exactly what you're going to get. You're
3:05:39again, you're going to get the algo
3:05:40trade camp. I'm going to show you step
3:05:41byep how to automate your trading even
3:05:43if you don't know how to code. You get
3:05:44the AI master classes that will show you
3:05:46how to have AI do all of the hard work
3:05:48for you. You just need the ideas. You
3:05:50get the salonbot course, the sniperbot
3:05:52course, the poly market trade bot
3:05:53course, unlimited zoom calls. So all
3:05:55these private zooms we do, you get for
3:05:57free. You get Quantite that has 300 plus
3:06:00bots and back to us and new code weekly.
3:06:02People are paying $300 a month for that
3:06:04right now. So just this alone is worth
3:06:06it. Just this alone is worth it. Just
3:06:10this alone is worth it. Just this alone
3:06:11is worth it. And then you get fat
3:06:13bonuses. Just the vault alone is worth
3:06:15it. Just the API key alone is worth it.
3:06:18Just the trading by GitHub is worth it.
3:06:20Just the exclusive AI agent GitHub is
3:06:22worth it. Just quant app is worth it.
3:06:24Dude, do you see? I actually believe
3:06:26code is great equalizer.
3:06:28I actually want to invest in you because
3:06:31you found me somehow. I don't run ads.
3:06:34You found me some way somehow. And
3:06:37that's because of you. You're a data
3:06:39dog. You're fearless. You're curious.
3:06:41You're committed to finding a better way
3:06:42to trade. And you found it. Now you just
3:06:44have to make the decision. Am I actually
3:06:46going to step on the gas or am I just
3:06:48going to be a dabbler for the rest of my
3:06:50life and spend three, four hours with
3:06:51this this dude and then just not even
3:06:54jump in? I don't know. I got all the
3:06:55options here for you. Pay 1,500, use a
3:06:58credit card, use CLA, you got payments,
3:07:00whatever you need. But only do that if
3:07:02you're actually going to step on the
3:07:03gas. I don't want to promote using
3:07:04credit cards to people that are just
3:07:06dabblers, but I don't think that's you.
3:07:07If that's a little too heavy for you
3:07:09now, you got two payment options. You
3:07:11can use 797 times two. Okay? It's a
3:07:14little bit more expensive, but you break
3:07:16it up into a payment now and a payment
3:07:18of a month. You could also use CLA on
3:07:20that. I bet you could get these payments
3:07:22way down. That's crazy, dude. You can
3:07:24use crypto within Stripe. You can you
3:07:26can go ahead and use crypto as well.
3:07:29So yeah, dude. This is just it's an
3:07:34unbelievable offer. Ryan put a line on
3:07:36the chart. It's so fire. So yeah, I mean
3:07:41at the end of the day, we got 24 minutes
3:07:43here in order to answer any questions
3:07:45you have.
3:07:48And
3:07:49you know, I just want you to be able to
3:07:51say goodbye to that stressful life,
3:07:52dude. a stressful life of staring at the
3:07:54charts trying to predict price every
3:07:56single day. Just because it's 9:30 a.m.
3:07:58doesn't mean it's time to trade. You
3:08:00have to trade when the opportunity is
3:08:02there, when the expected value is there.
3:08:04And only robots can do that because we
3:08:06get anxious. We we want to get into
3:08:08trades. We get FOMO. We get scared.
3:08:12Just picture your life, dude. Picture
3:08:14your life where you are now, trading by
3:08:16hand, stressed out, losing money to
3:08:18becoming a fully automated trader with
3:08:20your friends that are here to help you.
3:08:24You're not going to get laughed at
3:08:25anymore when you say you're a trader
3:08:27because traders are just gamblers.
3:08:28You're a quant. You're going to have
3:08:30respect.
3:08:35I'm just here to show you everything and
3:08:36I try to make the absolute best offer I
3:08:38possibly can. If you have questions, let
3:08:40me know. I've got 23 minutes to answer
3:08:42anything you have in the chat.
3:08:45You're good, Ryan. Just got back from
3:08:48vacation. Now this. Guess it's time to
3:08:50upgrade from the monthly B boot camp.
3:08:51Absolutely. Nodens, let's get it. It's
3:08:53time. Hey, what's the API key we've been
3:08:56sharing in here? Is it for quant app?
3:08:58Does it expire daily? Yeah. So, if you
3:09:00are in the Zoom, I've been doing this
3:09:03for the first few days, but I won't be
3:09:05doing this forever. You get the API key
3:09:08and then the quant app just for 24 hours
3:09:10until my next Zoom. So, congrats to Pony
3:09:14for getting in here, dude.
3:09:16Uh, raising kids and a job. I can't give
3:09:19up four hours of sleep. It will take me
3:09:21years to get through your video library.
3:09:23I really hope an affordable babysitter
3:09:25can be found. Let's get it, dudes. I If
3:09:27I were you and I had limited time, I
3:09:29would consume Algo Trade Camp step by
3:09:31step, day by day at whatever speed you
3:09:34can go. I totally understand that,
3:09:38you know, you got you got a whole life
3:09:40and uh that's like part of the reason
3:09:42you need to be part of this is because
3:09:44you can either spend that four hours a
3:09:46day like I did to figure this out for
3:09:48five years or you could spend less time
3:09:51because I've already figured this all
3:09:52out and I show you step by step how to
3:09:55automate your trading. Now, I'm not
3:09:57going to say that anything's
3:09:58plugandplay, of course not. But I spent
3:10:01four year four hours a day so you don't
3:10:05have to. Now if you do have that 4 hours
3:10:07a day of course I mean more time more
3:10:10better.
3:10:15Uhwami you can always email us here
3:10:19at muna algo trade camp. I I don't know
3:10:21what package you bought last year
3:10:25but I built this offer for current
3:10:27members. So, I understand current
3:10:30members are paying $297 a month plus six
3:10:33some plus more. Like some members are
3:10:35paying up to $400, $500 a month. So,
3:10:38this offer is built for you guys that
3:10:40are already in the boot camp. If you're
3:10:43not in the boot camp, if you've never
3:10:44paid me before, of course, this is even
3:10:46a better offer. But, this is built for
3:10:49current members already acknowledging
3:10:50that you've already probably been in
3:10:52Quantite for a few months. Well, if you
3:10:54want to stay in Quantite, that's $3,600
3:10:56a year. Do you want to stay in the boot
3:10:58camp? So, I built this with um the
3:11:01intentwami that this is an epic
3:11:04discount. Pony says epic discount. I'm
3:11:06so happy, bro. Thank you, dude. I'm so
3:11:09happy that you got in.
3:11:15I'm locked in for life. Let's get it,
3:11:17Grover. Welcome in. Felix says, "Let's
3:11:20get it." And if you guys have any more
3:11:21questions, we got 20 minutes. I can
3:11:22answer any questions.
3:11:25Uh after buying, are you going to
3:11:27receive an email? Yes.
3:11:30You're going to go ahead and have
3:11:31instructions on exactly how to get
3:11:33access to everything. So once you join
3:11:35today, you're going to get access to the
3:11:37Algo Trade Camp, you get AI master
3:11:39classes, you get the Solana Copybot and
3:11:41Sniper course, you get the Poly Market
3:11:42Trading Bot course, you get unlimited
3:11:44private Zoom calls, you get Quantite. A
3:11:47lot of this stuff you get instantly. You
3:11:49just go into the Discord, say, "I just
3:11:50joined," and boom, it's going to add all
3:11:52of the things to your thing. A couple of
3:11:54these things will send you an email or
3:11:56we'll give you instructions to shoot us
3:11:58an email so we can attach your GitHub
3:12:00username to the GitHub. For example, we
3:12:02could get your username attached to the
3:12:04API key. Uh get your Google Drive
3:12:07address to add you to Google Drive. So,
3:12:09some of the things we do manually, but a
3:12:11lot of the things you're going to get
3:12:12right away. And when I say manually,
3:12:14it's going to be less than 24 hours,
3:12:16usually way faster.
3:12:21Ryan says, "Thank you, Moon. I've done
3:12:23modular back test back trading engine,
3:12:25learn different grid searches, simulates
3:12:27trades off live feeds from Dex's and can
3:12:30trade live. I have 30 strats with
3:12:32multiple variations. Thank you for
3:12:33helping me out. My pleasure, Ryan. Dude,
3:12:35that is fire.
3:12:41If you guys have questions, let me know.
3:12:43We got 19 minutes. At the end of this 19
3:12:44minutes, the offer is going to go away.
3:12:47So, remember, there's a 90-day money
3:12:49back guarantee, and I'm here almost
3:12:50every day. So, I'm not going anywhere.
3:12:52I'm not running off with your money,
3:12:53anything like that. You got 90 days, no
3:12:55questions asked. If you want your money
3:12:56back, you get your money back.
3:12:58>> I was going to make it. I just know how.
3:13:02>> But I knew this world is what you make
3:13:04it. You create your own environment. It
3:13:07all starts with a vision. What you can
3:13:09imagine, you can create.
3:13:11>> What you can imagine, you can create.
3:13:14Money back guarantee.
3:13:16So you don't even have to say yes right
3:13:18now.
3:13:2190 days. Check it out.
3:13:28Let's get it.Wami says he's hungry to
3:13:30lock back in. 777.
3:13:35This is the only thing I have. So, the
3:13:38monthly, it used to be $297 a month for
3:13:40quantity. That's $3,564.
3:13:44Dalia says the monthly is how much?
3:13:46There is a payment plan here.
3:13:49two payments
3:13:52$7.97.
3:13:57So you can see the there's a monthly
3:14:00plan. Pay today and then pay again in
3:14:02one month. That is $797.
3:14:12Anyone buy a pawn game for 1500?
3:14:16You probably have a credit card.
3:14:18You could probably scrape up $797.
3:14:22You can see what everybody has to say
3:14:23here. Let me read through some of these
3:14:26uh testimonials here because we only
3:14:28have 17 minutes and I'll answer any
3:14:30questions that come through while this
3:14:32happens. But he says, "Hollywood says
3:14:34it's about education. This is real world
3:14:36stuff, not just some classroom
3:14:38environment. I paid him a year in
3:14:39advance. I also I go to Harvard for
3:14:42computer science. The boot camp is the
3:14:44best value I've ever received. It
3:14:45changed my life. Sending you love.
3:14:48Mundub's course is amazing. Honestly, I
3:14:50don't even want more people to join
3:14:52because the information you get is pure
3:14:54gold. However, Mundab truly deserves
3:14:56this rated.
3:14:59How many of you guys took the course?
3:15:00Thinking of signing up? Anyone have any
3:15:02feedback? To be honest, I signed up for
3:15:04the course last week and I'm trying to
3:15:06work through the material. You can learn
3:15:07it from YouTube, but it's a very slow
3:15:09process. Speed, dude. Speed. The course
3:15:12material ties it all up with a bow and
3:15:15everything. So you could go tweak
3:15:16everything the code best suits you. I
3:15:18recommend the course if you want
3:15:19immediate results. Bonus. Moonv will
3:15:22work with you to create your own stuff.
3:15:23Love free says the videos are so
3:15:25straightforward packed with so much
3:15:26information. Everything was super easy
3:15:28to understand. I'll I never knew algo
3:15:31trading would be so easy. Mundave
3:15:33literally teaches you a toz and the
3:15:35community is amazing too. I'm super glad
3:15:37I took on this challenge. I've learned
3:15:40so much in the first 15 days. So, the
3:15:41boot camp is 15 days, but it's extended
3:15:43to 60.
3:15:46I just want to personally thank you for
3:15:47making the boot camp.
3:15:50Like, seriously, you could have sold it
3:15:52for 10x that, but you gave everybody the
3:15:55opportunity to access it. This guy says
3:15:58he's a programmer of Forex, and Tom says
3:16:02that he's also a developer, and it got
3:16:04him up to speed very quickly with Algo
3:16:05Trade for crypto.
3:16:09Should I just send an email to upgrade
3:16:10the boot camp to get Discord access? AI
3:16:13bot isn't uh getting all Yeah. Yeah. If
3:16:16you uh
3:16:19shoot an email if it didn't access give
3:16:22you access to everything.
3:16:25Let's see here. You said the AI bot.
3:16:28Let's go look at that. See what's going
3:16:29on here. Public chat.
3:16:34Okay. So, I see it. Yeah, it didn't add
3:16:36everything on there. Let me just go
3:16:37ahead and override that real quick
3:16:38because I have I have that power here.
3:16:40So, I just added your Mundave Elite
3:16:42there. Um, it's weird that that didn't
3:16:45happen. Um,
3:16:48I'll look into that after, but I just
3:16:49added your Mundave Elite, but also send
3:16:52the email because, uh, either way, I got
3:16:54to get you access to the vault and I got
3:16:56to get you the GitHubs and the API key.
3:17:02I can't give you that, Grover, because
3:17:03I'm not a financial adviser and I can't
3:17:04have that liability. Sorry. Super high
3:17:06liability for me to share this stuff.
3:17:15So, I got to be very careful to make
3:17:16sure I don't come off as giving
3:17:18financial advice. That being said, the
3:17:20best financial advice I can give anybody
3:17:21that's trading by hand is stop trading.
3:17:25D. Sandlin says, "My bot is making
3:17:27money, so get to coding and stop losing.
3:17:29I was the classic get stopped out daily
3:17:31and it pissed me off, hence why I'm here
3:17:32now making money."
3:17:35Anod says he's been a member. It's
3:17:36great. I'd highly suggest it. This guy
3:17:38said, "That's cool. One of my bots that
3:17:40I set up. Watching you is pretty
3:17:41profitable. Thanks to you." This guy
3:17:43says, "Hi guys, I'm new to this thing.
3:17:46I'm really tired of Telegram bots. Do
3:17:48you recommend the boot camp at all?" He
3:17:49says, "Yes, it's been a life-changing
3:17:51experience." This guy says, "Hands down,
3:17:53the best decision was clicking on your
3:17:54auto GPT and coming here at the boot
3:17:56camp. As someone with zero knowledge and
3:17:57building blocks you provide in your camp
3:18:00are the realness and personal your
3:18:02personality is amazing. Keep it up, man.
3:18:04I love the intro of the boot camp. I'm
3:18:05about to save you 200 hours. I said, '
3:18:07That's the goal. I hope it has. He said,
3:18:08'You overd delivered. I haven't even
3:18:09gone through the weekly codes yet.
3:18:17Finish the boot camp in two days. It's
3:18:18that good. Best community and amazing
3:18:20teacher. Do it at your own pace. Amazing
3:18:22teacher. Free AI tools. Yes, I actually
3:18:25give you free AI inside the Discord as
3:18:27well. I didn't even mention that. Banger
3:18:28community here. TLDDR. As someone
3:18:30exploring the world of algo training, I
3:18:32can confidently say that Mundav's algo
3:18:34train camp is hands down the best.
3:18:37We got 13 minutes, gang. So, go over to
3:18:39mundave.com/go.
3:18:42And if you have questions, let me know
3:18:43in the chat right now. We only have 13
3:18:45minutes. And I'm serious about this,
3:18:46bro. I'm serious. I'm going to get it
3:18:48set up right now, actually. Um, let's go
3:18:51ahead here and
3:19:03just got to find my
3:19:09I got to find the AI so I can turn this
3:19:11off in 13 minutes.
3:19:1513 minutes, dude. 13 minutes. If you
3:19:16have questions, let me know.
3:19:19Let me know. Let me know. Yeah. Funny
3:19:21thing is Mundev has the attention of
3:19:23hedge funds companies copying his
3:19:25scripts. So please don't put old traders
3:19:28above yourself. Exactly, dude. The past
3:19:32six months of ALGO Trade Camp have been
3:19:33nothing short of transformational. It's
3:19:35not a trading course. It's a complete
3:19:36mindset shift. This program opened up
3:19:39new doors and opportunities I never
3:19:41thought possible both personally and
3:19:43professionally. Mundev shows it how it
3:19:45is. Next level, clear, actual, and
3:19:47grounded in real world experience. Every
3:19:49session kept me sharp. Let's get it,
3:19:51dude. I've learned more in the past week
3:19:53of coming here than years of just owning
3:19:55crypto. Mundav is the most authentic and
3:19:58genu generous creators I've ever seen on
3:20:00the internet. He deserves the world. He
3:20:02has helped me immensely. God bless him.
3:20:05Come on, dude. Let's get it. Let's get
3:20:07it. If you have any last minute
3:20:08questions, we got 12 minutes. We got 12
3:20:10minutes.
3:20:12And remember, there's a 90-day money
3:20:13back guarantee. So, I know there's a
3:20:15little pressure here, but it is what it
3:20:17it is what it is. I have to I have to
3:20:19limit this. I can't show the whole
3:20:21world. So, you got 12 minutes if you
3:20:23want to decide. And you can decide now
3:20:25and within the next 90 days if it's just
3:20:27not for you or you're not interested in
3:20:28it, whatever. You can get your money
3:20:29back. 777 on God. Let's get it. The boot
3:20:33camp was the kick in the ass that I
3:20:34needed.
3:20:36Mund's got a great personality. He's an
3:20:38authentic cool guy with great sense of
3:20:40humor. He keeps me entertained, engaged
3:20:42while I multitask. He explains things
3:20:44clearly that you could just vibe. I've
3:20:46learned so much about AI and coding
3:20:47integration. He's got extra courses and
3:20:49stuff. Now is the best time to become a
3:20:51dev. We all need to learn more. Coding
3:20:53is the great equalizer. We should make a
3:20:55shirt. Let's get it. You're the reason I
3:20:58started my coding journey. Let's get it,
3:21:01dude. The only problem is I I feel like
3:21:02I'm missing out if I'm not on my
3:21:04computer.
3:21:05Let's get it, dude. There's so many
3:21:07people that have said great things about
3:21:08this. It's not like I know we all have
3:21:11every excuse in the world for not
3:21:13jumping in today, but you don't even
3:21:15have to make that decision today. Just
3:21:17jump in. You got 90 days to check it
3:21:19out. It truly feels like you have a
3:21:21trusted, loyal friend teaching you the
3:21:23ropes to success. Honestly, the way you
3:21:25come up with strategies on the spot and
3:21:27teach at the same time is a winner for
3:21:28everyone. A powerful and supportive
3:21:31start to my ALGO trading journey. This
3:21:33boot camp has been one of the best
3:21:35learning experiences I've had. The
3:21:37content is well structured, detailed,
3:21:39and easy to follow. Even with someone
3:21:41with no prior background, each video is
3:21:44packed with practical information that's
3:21:46immediately useful. The teaching style
3:21:49is clear and straightforward.
3:21:51So, I sat down and I worked hard to put
3:21:53this together for you because I got a
3:21:54lot of people asking for it. If you want
3:21:56to be part of the 1%, this is where you
3:21:58start. Forget all those get-richqu
3:22:00douche clowns shilling payw wall
3:22:01information that you get from AI for
3:22:03free. This is the real deal. And I
3:22:05honestly would rather just keep it a
3:22:06secret. That's amazing, dude. People are
3:22:09saying great things. I'll update later.
3:22:11Update. It's very good. There's a
3:22:14learning curve for sure, but nothing
3:22:17makes me want to put it down. The code
3:22:19helpers are very attentive. So, we're in
3:22:21there with any answers that you have
3:22:24questions to. After the first year, what
3:22:26is the API and app going to cost? Uh,
3:22:30I don't know. But that's a year. Oh,
3:22:33that's a lot a lot of time. A lot of
3:22:35time. You got 10 minutes.
3:22:40That's a That's a very forwardthinking
3:22:42question. Um I will make it very
3:22:45affordable to continue.
3:22:49Let's just [snorts] say that because
3:22:52we're in the early days, you know, I'm
3:22:53only on year five, but I'm just getting
3:22:55started in my opinion. So, I want to get
3:22:57you guys all caught up to speed with me
3:22:59and the people who take me up on this
3:23:00offer. You guys see how I do it. like
3:23:03people like Wishy and some a lot of
3:23:04people in here are are here for free
3:23:06because they joined something of mine
3:23:09four years ago, three years ago, you
3:23:11know. So you guys are my fam. I'll hook
3:23:13it up.
3:23:14>> So you find
3:23:17things that are predictive. You might
3:23:20guess, oh, such and such should be
3:23:24predictive, might be predictive. And you
3:23:26test it out in the computer, maybe.
3:23:28Maybe this. We test it out on longterm
3:23:31historical data and uh price data and
3:23:35other things and then you add to the
3:23:37system this if it if it works. If it
3:23:40doesn't you throw it out. So there
3:23:43aren't elaborate equations at least not
3:23:45for
3:23:46>> All right. If you're still on the fence
3:23:48I want to show you how to get started
3:23:51because remember there's a 90-day money
3:23:53back guarantee. So I know there's eight
3:23:55minutes left. I don't even know if you
3:23:57have time to join anymore. You have to
3:23:59go to mundaveab.com/go.
3:24:02It's one simple payment of 1,500 bucks.
3:24:04An investment in a new way of trading.
3:24:07Or if you can't afford that, that's
3:24:09fine. Two payments of 797. Super s super
3:24:13simple. You click here. There is CLA,
3:24:16there's credit cards, there is crypto.
3:24:18There's no excuses.
3:24:20If you're a doer, let's do it. You've
3:24:22locked in for multiple hours now.
3:24:24There's nothing else I can tell you
3:24:26except that there's 8 minutes and 20
3:24:28seconds to get in. Just emailed you now.
3:24:30Nice.
3:24:32Anyone with a doubt, it's definitely
3:24:34worth it. I was in doubt myself, but
3:24:36when I pulled the trigger, I was so
3:24:37happy I did. It's not a sales pitch by
3:24:39any means, just a personal opinion. The
3:24:41boot camp put me six months ahead. Hey
3:24:43guys, I'm new to this. I think I read
3:24:45that one.
3:24:47What are you waiting for? The material
3:24:49in the course is everything one needs to
3:24:50get started in this unique and secretive
3:24:52industry. and it's truly amazing.
3:24:55Mundave and his approach to teaching
3:24:56this material are even better. You
3:24:58couldn't ask for a more thoughtful and
3:25:00sincere instructor. I really don't know
3:25:03if I have ever spent better money in my
3:25:05life. If it was just the 15 days
3:25:07promised, the course would be massively
3:25:09undervalued. The fact that there's even
3:25:11more plus a community and everything
3:25:13else, stop reading and sign up. The only
3:25:16thing you'll regret is not doing it
3:25:17sooner. Okay, dude. So, here's the link.
3:25:20the last time I'll post the link here.
3:25:21If you guys do want to take this up, I'm
3:25:23closing. I'm turning it all off here in
3:25:26seven minutes. Moon.com.
3:25:28Here's that final link. It's mund.comgo.
3:25:32And if you want to jump in, we have
3:25:34seven minutes. I'll answer any questions
3:25:35for the last seven minutes, but then I'm
3:25:37cutting the stream. I'm cutting the
3:25:38stream, closing the page. This is your
3:25:41chance. I recommend the boot camp if you
3:25:42want to learn quickly. Maybe already
3:25:44have an edge trading and want to
3:25:46automate it. I learned the code from the
3:25:48boot camp.
3:25:50I learned to code for the boot. I show
3:25:52you how to code, dude.
3:25:54My advice for anyone trying to build a
3:25:56bot, buy his course and learn the basics
3:25:58with AI and build a bot, test it
3:26:00multiple times. Let's get it. Thank you,
3:26:03brother. My favorite thing about the
3:26:05boot camp is you don't give us bots to
3:26:07use. You're giving us the skills to
3:26:09endlessly build our own. If you give a
3:26:11man a fish, he eats for a day. Teach a
3:26:14man to fish, he eats for life. That's
3:26:17beautiful, dude. That's beautiful. The
3:26:19boot camp is the kick of the ass I
3:26:20needed. There's a ton of offer in this
3:26:23boot camp and it's way more than I was
3:26:24even looking for when I joined. Mundave
3:26:26goes above and beyond to deliver value
3:26:29throughout the course. It's just a boot
3:26:30camp, but it's still very valuable
3:26:32teaching. If you're into learning this
3:26:34stuff, yet more evidence of why there's
3:26:36such a buzz around you. Truly incredible
3:26:38customer service. There's a 100% money
3:26:40back guarantee. We don't even ask
3:26:42questions. So, if you feel like, hey,
3:26:44you're kind of on the fence right now,
3:26:45remember there's a no questions asked
3:26:48money back guarantee. And the reason for
3:26:50that is because I was on the fence about
3:26:51buying a PlayStation 5 last year. And my
3:26:54girl was like to the Costco lady, she
3:26:56said, I was eating a hot dog. I was
3:26:58eating a hot dog because every time I
3:26:59get in line at Costco, I get a hot dog
3:27:01first. Anyways, I was eating a hot dog
3:27:02in line. And she said, my girl is like,
3:27:06"Uh, yo, what's the return policy?" And
3:27:09the lady looks at me. She says, "We
3:27:11would take back a half eat Ian hot dog
3:27:15in three years if you want." So, I was
3:27:18just like, "Hell yeah, that is fire.
3:27:20That is fire. I feel so secure about
3:27:22buying this PS5 now." And I bought it. I
3:27:24bought it because there's a unlimited
3:27:26money back guarantee. Now, obviously, I
3:27:28can't do unlimited, but 90 days is
3:27:30pretty [ __ ] good for something
3:27:31online. So, much love to you.
3:27:3890 days.
3:27:40Check it out. You can automate your
3:27:42trading in 90 days. That's crazy. I'm on
3:27:45the fence about buy the boot camp.
3:27:47Should I take the risk? I'm starting
3:27:48from ground zero coding knowledge.
3:27:49Looking for someone to push me here. If
3:27:52you're starting from zero, you should do
3:27:54it. Just know that it's not a magic pill
3:27:57and you have to put in the work. Mund
3:27:59has laid everything out so you can get
3:28:01up to speed very fast. He cuts your
3:28:03learning curve a lot.
3:28:06The course is a gem. Thank you for
3:28:07putting it together.
3:28:12I'm starting from zero, but man, I'm
3:28:13excited. Let's get it, Pony. I I already
3:28:16know he approaches trading well. So,
3:28:17it's like, okay, he's he's going to do
3:28:19great. You're going to do great because
3:28:21I know the type of person you are from
3:28:22just this couple weeks of you chatting
3:28:24here, dude. You're very disciplined. And
3:28:27that is that is a very very big edge in
3:28:30in a seam among uh traders that are not
3:28:33disciplined. After Markoff, the furious
3:28:36thou moon, the ledger. Let's get it,
3:28:38dude. Few years later, not found a
3:28:40better price. Best available Python dev
3:28:43and automating optimizing trading
3:28:44environments to work and learn with at a
3:28:47professional beginning with a minimal
3:28:48budget. And then this one's super nice.
3:28:51Much appreciated. When your team of
3:28:53doctors says you have seven your seven
3:28:55months passed when you were projected to
3:28:57pass away, it kind of puts into
3:28:58perspective that there's people that
3:29:00deserve to know that I probably would
3:29:02have passed away if it wasn't for people
3:29:04like you. My bots I've made from your
3:29:07ideas combined with mine have paid off
3:29:10$186,000
3:29:11in medical bills last quarter of 2023.
3:29:15So, I really just got to say out of
3:29:17everyone I've ever come across, you've
3:29:19done the most to keep me alive and out
3:29:21of millions in debt. And I will never
3:29:23forget that.
3:29:26777 big 777. All right, we got three
3:29:29minutes here. If you want to jump over
3:29:31to mundev.com,
3:29:33I will be shutting the stream off. I
3:29:34will be shutting down the page. So, um,
3:29:37you know, this is for any last minute
3:29:38people. Let's get it. Let's get it. It's
3:29:41crazy story, huh, Grover? And these are
3:29:43these are people that just like reach
3:29:44out to me and send this stuff or post it
3:29:46on Discord or post it on YouTube or send
3:29:48me emails. It's just like,
3:29:51you know, I get I get a lot of hate for
3:29:54sharing this. I get a lot of hate. You
3:29:56know, you got haters that are pissed
3:29:58that I'm I'm leaking all this
3:30:00information. You got other haters that
3:30:02say like, "Oh, why are you teaching
3:30:04this?" yada yada. I'm a teacher, dude.
3:30:06I've I grew up to I grew up with
3:30:09basketball coaches that I look at as my
3:30:11fathers, you know? Like they taught me
3:30:13everything from from playing basketball,
3:30:15of course, but to being a man, bro. So,
3:30:18it's just like you guys already figured
3:30:20it out. I I've always learned from
3:30:22coaches and teachers. So if you know
3:30:24something I don't know, I will happily
3:30:26pay you for it every single time because
3:30:29I know I don't know everything in this
3:30:32world. And if you know something I don't
3:30:34know that I need to know, I will pay you
3:30:36for it
3:30:38because I grew up being coached, dude.
3:30:40I've been coached my entire life. You've
3:30:43been coached, too. Your parents are
3:30:44coaching you.
3:30:48Signed up. Brian says he's in. All
3:30:50right, Brian. You just made it, dude.
3:30:53I'm excited to get to know you, dude.
3:30:54I'm excited to get to know all you guys.
3:30:56Thank you so much for hanging around
3:30:58here today. I hope that this has been
3:31:01very
3:31:03I hope it's been very helpful. I tried
3:31:05to I tried to throw a bunch of great
3:31:07tips at you today exactly how that even
3:31:09if you don't end up joining here, you
3:31:12know how to research, back test, and
3:31:13implement. Now, you know, information
3:31:15alone won't won't get you there, but at
3:31:18least you'll be able to uh get your toes
3:31:21wet in this industry, and maybe someday
3:31:23I'll have a special again, but in 1
3:31:25minute and 24 seconds, this will be
3:31:27gone. I will be turning off the stream.
3:31:29Thank you guys so much for jumping in to
3:31:31this stream today. It's been a lot of
3:31:33fun. I got a lot done. I got a few bots
3:31:35done, a bunch of back tests. We teed off
3:31:37that Tik Tok social arbitrage thing. I
3:31:40look forward to the next stream. Uh, I
3:31:43did have that realization this week that
3:31:45damn, I do get more done when I don't do
3:31:47it live on stream. So, maybe we will cut
3:31:49back a little bit and not do it every
3:31:51single day. I literally have been at
3:31:53this for five years and I've been giving
3:31:55you guys my absolute all on these
3:31:57streams, the videos, and I've been
3:32:00speaking through all of my code. It's
3:32:01kind of silly of me to to not realize
3:32:04that, hey, dude, if you don't have to
3:32:06talk and answer questions this entire
3:32:07time, you can go way faster. So, I kind
3:32:10of made that realization. Um, also I'm
3:32:12getting all our funded traders signed
3:32:14up. Um, I'm trying to get this to a
3:32:16point where I I get you guys all of my
3:32:20knowledge. I can get you funding as
3:32:22well. And then shoot, if I if I die
3:32:25someday, dude, I've already laid my I've
3:32:28laid my mark on the world. I've given
3:32:29everything I got and I just don't know
3:32:31when that day is going to be. So, you
3:32:33got you got 25 seconds and I'm cutting
3:32:35this stream off. 777, dude.
3:32:40Twitter sentiment. That'd be sick. Mood
3:32:43for press. Let's get it, dude. Let's get
3:32:45it.
3:32:46I'm locked in right now. Replace my job.
3:32:48Let's get it, dude. Thank you for the
3:32:51value you always provide. Much love to
3:32:52you guys. I'll see you I'll see you some
3:32:54other time. I will let you know via
3:32:56email. Have a beautiful weekend. Much
3:32:58love to everybody. 777. Thank you so
3:33:01much for your time and have a beautiful
3:33:04blessed weekend and day.
3:33:08777 Mund out.

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