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how to actually build an ai trading bot (full guide) — Transcript

by Miles Deutscher Finance · 4,554 words · 646 segments · language en · Watch on YouTube

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0:00I'm going to show you how to build a
0:01trading bot that actually works, whether
0:04you trade crypto or stocks. I'm going to
0:06run you through how to build one from
0:08scratch and what they're actually good
0:10for because it's not what most people
0:12think. You've probably seen the promises
0:13that AI trading bots are like these
0:15magic money printers, but the reality is
0:17different. They can be highly
0:19profitable. I've personally built
0:20strategies which have made me over
0:22$8,000 a week in pure profit, but I've
0:25also had trading bots, especially
0:27towards the beginning of my journey a
0:28few years ago, which went horribly wrong
0:30and cost me tens of thousands of
0:32dollars. But, I learned from those
0:34mistakes and learned how to set up
0:35trading bots the right way, bots that
0:37automatically get smarter over time and
0:39bots that don't fail. The best part is
0:42you don't have to be a coder for any of
0:43this. It's actually quite simple. You
0:45just might need to get your hands a
0:47little dirty, but I'm going to walk you
0:48through step-by-step so you don't get
0:49lost. And by the end, you'll know how to
0:52actually build a trading bot that works.
0:54And you'll also know the one mistake
0:55that kills people's trading bots so you
0:58don't make it. All right, firstly, let's
1:00talk about what an automated AI trading
1:02bot actually is. A bot essentially does
1:05two things. It automates repetitive
1:07strategy and it executes better than a
1:09human. I used to find in my trading, I'd
1:11have the right ideas, but I'd have an
1:13execution problem. I'd have a setup, but
1:16I wouldn't be at the desk to execute the
1:17trade. I wouldn't be able to manage the
1:19trade once it's open or I would simply
1:21forget to manage the trade and that
1:23would result in me losing money. The
1:25real value add of a trading bot is that
1:27it can execute based on a predetermined
1:30strategy that you've given it. And the
1:31really important thing which we're going
1:32to discuss today is that these bots
1:34actually learn over time and they get
1:36smarter over time. They learn from their
1:38mistakes probably even better than a
1:39human because it's coded into the AI.
1:42Whereas as a human, you need to go
1:44through a lot of psychological
1:45reflection to work out why maybe you're
1:47not succeeding as a trader. So,
1:49ultimately, I view trading bots as a way
1:51to get razor sharp execution and I do
1:53think over time more and more people are
1:55going to be using trading bots and in a
1:57few years pretty much everyone will be
1:59using one whether they know it or not
2:01because the big funds and the quant
2:02firms, they are already doing this.
2:04Retail just isn't fully up to scratch
2:06yet. The best part about a bot is that
2:08it doesn't flinch, it doesn't get
2:09scared, it can execute without emotions
2:12and that's what actually catches most
2:13traders out. So if your problem was ever
2:15execution as it is for most people, then
2:17building a trading bot should really
2:18help you. And the loop of a trading bot
2:20is actually quite simple. You set up the
2:22parameters, it executes based on those
2:24parameters, it learns from those
2:25parameters and then it goes again. And
2:27this loop can automate around the clock
2:2924/7 even while you're sleeping. And
2:31some of my bots where I've made over
2:33$8,000 in a week, these have actually
2:35executed some of my best trades when I
2:37wasn't awake. Especially if you're not
2:39available all day or not on US hours, I
2:41think that's one of the biggest value
2:42props of automating your trading. But I
2:45want to make it clear this isn't a magic
2:46fix. I do think this stuff is getting
2:48better and better and being at the
2:50cutting edge of it like I'm trying to is
2:51a big advantage, but this isn't a full
2:54replacement for discretionary trading. I
2:56view trading bots as a great attachment.
2:58So you can have discretionary ideas,
3:00ideas that you think will help you get
3:02an edge in the market and then you use a
3:04trading bot for the execution piece.
3:06That's pretty much how I use them in my
3:08day-to-day life. And then over time, you
3:10can start to knowledge compress. So take
3:12strategies from yourself and from others
3:15that you want to implement and train the
3:16AI to do so automatically. So before we
3:19get into how to build a winning trading
3:20bot, let's firstly discuss why most
3:23trading bots lose. They're usually four
3:25reasons why trading bots lose money. The
3:27first one is they don't have memory. So
3:29basically it'll open a trade or it'll
3:31execute something based on its preset
3:33parameters, but then it doesn't learn,
3:35improve, and iterate over time. I'll be
3:37showing you a memory system in today's
3:38video which pretty much makes that
3:40mistake irrelevant. Secondly, people set
3:42up trading bots with no goals or no
3:44objectives. So they'll set a test, but
3:46they won't define the parameters for
3:48that test. So then you're basically
3:49trading blindly. The bot isn't getting
3:52smarter, the bot isn't necessarily
3:54optimizing, it's just running on its own
3:56accord. So, without a goal and an
3:58objective and without actually
4:00implementing that data, it's basically
4:02just winging it. The third reason bots
4:03fail is because they don't take into
4:06account future conditions. Bots are
4:07trained on past data. So, you need a
4:10good system to forecast data and some of
4:13that is discretionary. Some of that
4:15can't be automated, but you can
4:16obviously build good market scraping
4:18systems to plug into the bot to give it
4:20more informed information. Human traders
4:23can be very good because they adapt to
4:24the market very quickly and humans have
4:26like this creativity element that bots
4:28don't have. We can actually forecast
4:30data. Whereas AI models in general,
4:32they're all trained on past data. So,
4:35you actually need to manufacture things
4:36and you can use that to your advantage,
4:38but you have to set things up properly
4:40so the AI can actually execute based on
4:43future expectations. And fourthly, the
4:45reason why a lot of trading bots fail is
4:46because a lot of the pre-packaged bots
4:48simply too many people are using. So,
4:50they actually lose their edge in the
4:51market. So, if you just go out and buy a
4:53popular bot that hasn't been backtested,
4:55that doesn't have an edge, you're
4:57probably going to be competing against
4:58other traders running the same strategy.
5:00So, it's important to work out your own
5:02strategy or use a bot that millions of
5:04people aren't using. In my opinion, to
5:06summarize what makes a good bot, it
5:08remembers, it gets smarter over time and
5:11it's actually yours. So, it's
5:12configurable based on your beliefs and
5:15based on the data that it accrues. So,
5:17now you know why most trading bots fail
5:19and you know what constitutes a good
5:21trading bot in my opinion. Now, let's
5:23move on to your options. What is
5:24currently available in the market right
5:26now for you to use? Now, there are a few
5:29and they all make sense for different
5:30people and different skill levels. So,
5:32let's run through them. Firstly, you can
5:33buy a ready-made AI bot. These are maybe
5:36some of the bots you've seen advertised
5:38on some platforms or built into an
5:39exchange with pre-configured parameters.
5:42These aren't necessarily bad. In fact,
5:44they don't require any effort, so that
5:45is a good thing from a setup and time
5:47perspective, but ultimately you don't
5:48have your own edge because it's a black
5:50box. You don't know exactly how they're
5:52trained, and even if their algorithm is
5:53public, you have no ability to influence
5:56that algorithm. So, you're at the behest
5:58of the platform that you are using. Good
6:00option for people just trying to dip
6:01their toes in the water and maybe use a
6:03trading bot on an exchange, but maybe
6:05not so good for people that want proper
6:07customization, which I do believe is
6:10very important because the way that you
6:11run your portfolio or your trading is
6:13going to be different from how I run my
6:15portfolio or my trading. So, we need our
6:17bots to reflect the very unique
6:19differences in both of our goals, and
6:21the only way to do that is through
6:22customization, which brings me on to
6:24point two. You can use a no-code
6:26platform. So, this is a platform that
6:28gives you some customization, but isn't
6:30a full black box. So, you've got
6:32Composer for stocks. You've even got
6:34Robinhood now who launched their agents.
6:36You don't have full control, and they
6:37don't make it open source for you to
6:39necessarily connect an API and do things
6:41yourself on their exchange. Maybe
6:43they'll add it in the future, but for
6:44now, you're limited to the options that
6:46they're giving you. These are definitely
6:47better than the previous option, but I
6:50do feel like you're going to hit your
6:51ceiling fast, and it's going to limit
6:53your ability to progress over time. But,
6:56I'm definitely still experimenting with
6:57some of these, and I think for some
6:58traders it makes sense. Like, setting up
7:00a grid bot, setting up DCA bots, setting
7:03up basic portfolio management based on
7:05preset parameters. It makes sense for
7:07some people, but for people that want a
7:09fully autonomous strategy, you're going
7:10to cap out with these types of systems.
7:12And thirdly, this is something that
7:14previously used to take months to do,
7:16but now you can do relatively quickly,
7:17as I'm about to show you, you can build
7:19your own trading bot where you actually
7:21own the memory system, own the data, and
7:24own the configurability. It's actually
7:26pretty wild to think that you can now
7:27have like an AI quant in your pocket,
7:29essentially, that can trade on your
7:31behalf 24/7. When, you know, previously
7:33this stuff was only reserved for the
7:35elite, and that's what these new
7:37frontier models like Claude and GPT have
7:40now unlocked. And many exchanges and
7:42brokerages have actually embraced this
7:45cuz they understand users are using
7:46these products. So, we're actually going
7:48to create MCPs, which are the bridges
7:50between Claude and the exchange to
7:53enable you to automate your trading. And
7:55this has only really happened in the
7:57last couple of months. Like I've been
7:58using trading bots for 3 years, but it
8:00was only really this year that you could
8:02fully customize a bot. So, you're
8:04actually really early to this. If you're
8:05watching the video right now, make sure
8:07you subscribe to the channel cuz I'm
8:08going to keep updating you as things
8:10evolve because I think in the next
8:11couple of years things are just going to
8:13get better and better and better. So,
8:14I'm pouring a lot of time and resources
8:17into making sure I can get an edge with
8:18this kind of stuff. And I want you guys
8:20to come on this journey with me as well
8:22because I have a clear thesis that this
8:23is where the world is heading. I think
8:25in the future we're heading towards a
8:27world where people don't just go into
8:28the computer or grab their phone and
8:30place a trade manually. I think people
8:32will be voice prompting agents. I think
8:34agents will be managing portfolios on
8:35their behalf. And I think the way you
8:37interact with exchanges and trading will
8:39be very, very different. want to be at
8:40the forefront of that. So, now I'm going
8:42to give you the three-step approach to
8:44actually build your own trading bot. And
8:46if somehow you get lost at any point,
8:47don't worry. In the description below
8:49for free, I'm going to have the full
8:51framework from today's video that you
8:53can actually just take and paste into an
8:55LLM like Claude or ChatGPT, and it will
8:58actually help you execute on your
9:00behalf. So, all you need to do is go
9:02down below, enter your email, become a
9:04part of the newsletter, and then you
9:06will unlock the WhatsApp community where
9:08in the pinned link you will be able to
9:10find the prompt from today's video. All
9:12right, so let's get into the three
9:13steps. So, step one, picking your venue.
9:16Firstly, you want to determine what
9:18you're trying to trade. Is it stocks or
9:19is it crypto? And crypto now obviously
9:21has access to tokenized stocks and gold
9:24and these sorts of things as well, even
9:26perps trading. So, a lot of people that
9:28are trading stocks are now doing it
9:29through hyperliquid or through X
9:32tokenized stocks, but obviously that
9:33comes with its own trade-off. So, first
9:35and foremost, you want to pick which
9:37lane you're most interested in. So,
9:38here's the broader architecture for a
9:40trading bot, no matter if it's stocks or
9:42crypto. The brain is going to be your
9:44LLM. So, in this case, Claude. You can
9:46also use GPT. So, you're either using
9:48Claude code on the newest model, or
9:50you're using GPT's CodeX on the newest
9:52model. That brain is responsible for
9:54holding and executing your strategy. The
9:57hands, what actually delivers the
9:59information to the exchange that's
10:00executing the trades, or you can think
10:02of it as a bridge, is the MCP server.
10:05That's the piece that actually enables
10:07Claude to place real orders on an
10:09exchange or a brokerage. And not every
10:12single brokerage has a connection, but
10:14there are a couple really good ones that
10:15I'll tell you today. For stocks, I
10:17personally use Alpaca, because they have
10:20an MCP server, which makes this easy.
10:22And this video's not sponsored by
10:23anyone, by the way. These are just the
10:24best solutions that I've personally
10:25found. It's free, it has paper trading,
10:28which is amazing, because you want to
10:29test this stuff out if you're learning
10:31on fake money. You don't want to go and,
10:32you know, blow real money and mess up a
10:34configuration. The best way to actually
10:35get started with trading bots is to do
10:37paper trading. Once you're comfortable,
10:39and once your strategy's working, then
10:41you move on to a bit of real money, and
10:43then you keep leveling up. But
10:44essentially, you sign up for an Alpaca
10:46account, you grab your API keys, you
10:48give Claude the API, and then it uses
10:50their inbuilt MCP. It might sound
10:51complex, but honestly, it's easier than
10:53it sounds. The prompt that I'll give you
10:54will make this super easy, and Claude
10:56will just guide you through the whole
10:57process. And that's the benefit of using
11:00a platform that has an inbuilt MCP, so
11:02you don't have to build your own. You're
11:03not actually coding a connection, you're
11:05just plugging it in. This gives Claude
11:06the capability to pull live prices from
11:09the exchange and execute trades based on
11:11your strategy. For crypto, it's the
11:13exact same concept. You want to go
11:15straight to a crypto exchange. There are
11:17so many. Binance, Blofin, Bybit, Pionex.
11:21Pionex and a lot of other exchanges now,
11:22for example, have an inbuilt MCP that
11:25you can use, just like Alpaca, so you
11:27can connect the MCP to Claude. If you go
11:30into to websites, they're usually
11:31available. If not, you can just ask
11:33Claude to help you connect the
11:35exchanges. Then you need to go into the
11:37exchange, take the API key, put it into
11:39Claude, and usually after 10 to 15
11:42minutes, you'll be able to connect the
11:44two, even if the exchange doesn't have
11:46an inbuilt solution, which does make
11:47things quicker and more secure, but you
11:49can still use an exchange without an MCP
11:52if you work around it on Claude code.
11:54You can also use GPT for this. I think
11:56both are good. There's arguments that
11:58GPT is smarter or more reliable for
12:00coding now. So, I personally use a
12:01mixture of both, but I found Claude to
12:03be pretty good as long as you give it
12:04the right parameters, which we'll also
12:06discuss, cuz that's obviously the secret
12:07to creating a really good trading bot.
12:09One thing on safety, you want to make
12:11sure your funds, especially if you're
12:13connecting it through an MCP using an
12:15API, in case your keys are exposed, in
12:17case you lose your device or something,
12:19that you actually create a sub account
12:20that only has a certain amount of funds
12:23that you're willing to give the bot
12:24access to. And a lot of exchanges
12:26actually have paper trading just like
12:27Alpaca, so you can actually just paper
12:30trade and test out your strategies, make
12:31sure they work, harden security over
12:33time before you move on to real capital.
12:36I think humans just learn the best by
12:37doing. So, if you're able to set this up
12:39yourself with paper trading, that's
12:41ultimately going to be the best tuition,
12:43and I think it's definitely worth the
12:44time. Step two, you want to actually
12:46pick your strategy and define the
12:48feedback loop. So, before any prompt,
12:51like open this trade for me, open trade
12:53under these parameters, you need to
12:55actually define the strategy. Because
12:57remember, the bot is only as good as the
13:00parameters that it runs under. Now, this
13:01is a rabbit hole in itself, and I'm
13:02going to do future videos on back
13:04testing strategies, the best strategies.
13:06This is an entire concept for another
13:08time, but in the beginning, you want to
13:10start with a pretty simple strategy just
13:13to get used to the mechanics of running
13:15a trading bot. The best part is that you
13:17can actually just back test strategies
13:19now, especially now that Claude and
13:21TradingView actually have an MCP
13:23connection. You no longer have to do it
13:25manually on Pine Script. You can just
13:27connect Claude to TradingView. I did a
13:28video on it, go and watch it that
13:30actually shows you how to set this up
13:32and then you can just start back testing
13:33any strategy. Hey, what if the RSI hit
13:36this level and momentum did this? Hey,
13:38what if price spikes X% in a day, what
13:40happened if you opened a trade every
13:41time over the past 3 months? It'll tell
13:43you how much you would have made. So,
13:45I'd recommend back testing first, taking
13:47a strategy which looks to be reliable
13:49and then using that strategy to start
13:52your trading bot experiment. And of
13:54course, you can just go back and forth
13:55with the AI about your trading style,
13:58your investment philosophy, what
13:59strategy you want to follow. Like I
14:01recommend before people even set up a
14:03trading bot, they do a bit of a back and
14:05forth to create a one-page document that
14:07they put in the instructions folder of
14:10GPT or Claude so the AI actually knows
14:13about you, your financial situation, and
14:16your goals. I think it's also okay to
14:17run a completely separate AI test, but
14:20if in the future you do want to make
14:22these strategies as I guess we're all
14:23aspiring to do, work within the broader
14:26context of your goals and your
14:27portfolio, then obviously you're going
14:28to need to create the documentation for
14:30that so the AI can tweak the strategy
14:32based on that. For this video, I'll show
14:33you a very simple build that I'm using.
14:35It's essentially a moving average
14:37crossover. So, if we see a fast average
14:38crossing above the slower average, that
14:41indicates that momentum is increasing.
14:44That is our signal to buy. If it crosses
14:45back below, we're going to sell.
14:48Obviously, over time, you want to create
14:50parameters across what time frames,
14:52adding in other conditions, and the AI
14:54will learn over time, but I'm just
14:55showing this to you as an example. This
14:57is simple on purpose because this
14:59video's about the system. In future
15:01videos, make sure you subscribe, we'll
15:02dive deeper into the best strategies,
15:05but I want to make sure you have a full
15:07understanding today of what trading bots
15:08are. Of course, we'll just swap in a
15:09better strategy later. So, now that you
15:11have the idea, you can prompt Claude or
15:13GPT to build it. It'll define every
15:15interval. The bot will read its memory
15:17and check the market through the MCP,
15:19and it will apply your rule to open
15:21trades, and obviously place paper trades
15:24in this example if it fires. So, a bot
15:26essentially has three jobs. It sees the
15:27market, but it decides whether it wants
15:29to execute, and then of course, if the
15:31parameters hit, it executes. You can see
15:33with this bot, it actually fired on the
15:35signal, but the trade loses.
15:38And then the same signal shows up again,
15:39and then it did the same trade again,
15:41but it loses again.
15:42This is because, and this is a common
15:44issue with bots, it has no memory. So,
15:47it never kept score of what's working,
15:48or critically reflected on why it's not
15:51working. So, this right here is an
15:52example of a bot that doesn't remember
15:54its own trades. So, it keeps repeating
15:55the same mistake. Every single time that
15:57parameter hits, it'll just execute
15:59because you've told it to execute. What
16:00I'll show you now, step three, is going
16:03to give your bot real memory, so it
16:05self-improves over time. This is the
16:07step that really matters, and we create
16:09this through a two-file system. File one
16:11is going to be your ledger. It's going
16:13to log every single trade. It's going to
16:15show you what happened, when it
16:16happened, why it fired, and how it
16:18ended. And you'll actually be able to
16:20prompt and reflect on this data. The
16:21second file is going to be the learnings
16:23file. So, when a trade closes, the bot
16:26writes itself one plain English lesson.
16:28So, it lost on this setup, don't take it
16:30again without confirmation of XYZ. This
16:33really matters because every single time
16:34it trades, it's going to read the ledger
16:36and the learnings file, and then if it
16:38makes a mistake again, it's going to add
16:40to it. So, this is essentially giving
16:42the bot a brain that learns over time,
16:44just like a human does. So, if you're a
16:46trader, you'll know you get these
16:47intuitions, like, "Oh, I think the
16:48market's going to crash. I think the
16:50market's probably going to go up." You
16:51might not be aware of it, but that's
16:52your mental algorithm based on past data
16:54that you've analyzed coming into
16:56account. You we're just engineering the
16:58exact same thing for the AI, but the
17:00best thing is, the AI will never make a
17:01mistake. Once you train it and set hard
17:03rules, it'll stick to those rules. Now,
17:05obviously, I've got to make it clear,
17:06sometimes AIs do hallucinate. Sometimes
17:09it'll break its rules, because these
17:10things aren't perfect, but having an
17:12understanding of how to set this up now
17:14is extremely beneficial, because in the
17:16future months and future years, these
17:18things will get near perfect. We know
17:20we're heading towards a world where AIs
17:22are smarter than us, more accurate than
17:23us, even though they might make some
17:24mistakes now. I mean, just look at how
17:26far they've come since I started using
17:28trading bots a few years ago. Like, they
17:29are already so much better and they'll
17:31keep getting better. So, if there are
17:32issues, just persist. It can be
17:34frustrating, but that's actually how you
17:36learn and create better bots over time.
17:38Now, for the more advanced people, two
17:40files is okay to start. That is a
17:41workable memory system, but you may want
17:44to consider building a cloud memory
17:46system on something like Superbase or
17:49Supermemory or Firebase where your
17:51memory is actually stored on the cloud.
17:54So, it's the exact same idea, but it's
17:55actually a database instead of just
17:57files, so it can hold thousands of
17:59trades and a much bigger ledger that
18:02will be less intensive for the bot to
18:05review. Especially if you're a
18:07high-frequency trader, you're probably
18:08going to need to upgrade from the true
18:10file system after a few weeks of trading
18:12cuz you'll have so much data and it will
18:14actually slow your AI down. So, this
18:16time I'm doing a test where I gave the
18:18bot some memory. I set up this system
18:20and if you actually run it again, the
18:22losing signal shows up, but this time
18:25the AI actually checks its own record.
18:28It sees it already lost on a similar
18:29setup to this, so it decides to skip it.
18:31This is the key. It's not just being
18:33cautious, it still takes good setups,
18:36but it skips the one that it loses from
18:38in the past. So, if you look at the two
18:39side by side, the bot with no memory
18:41just keeps bleeding on the same trade,
18:43but the one that remembers stops the
18:45bleeding and keeps the winning trades.
18:47Now, imagine this iterating over
18:49thousands of trades, it just gets
18:51smarter over time. So, that's the same
18:53strategy, but memory is the key
18:55differentiator there. But now, let's
18:56talk about the honest reality. Before
18:59you run a bot with real money, before
19:00you just copy a random strategy, make
19:03sure that you test something with paper
19:04money first. I'm going to give you some
19:06homework. Go away, take the prompt from
19:08today's video available in the
19:09description below, build your own
19:10trading bot whether it's for crypto or
19:12stocks, and paper trade for a week, and
19:15learn to refine your memory system. Once
19:18you're confident, then start with a
19:19little bit of money, maybe 1, 2, 3% of
19:22your max risk tolerance, and then scale
19:24up over time. The majority of your
19:26losses are going to come in the early
19:28days as you're still figuring things out
19:30and as the bot is figuring things out,
19:32and things only become reliable as
19:34things develop over time. I'm going to
19:36be backtesting a lot of strategies on
19:38this channel. If you would like to
19:39subscribe, because I'm also in the
19:41process of trying to work out what the
19:42best strategy is. I found some which are
19:44amazing and have been highly profitable,
19:46but I think we can always get better by
19:47testing more data, and that's what I
19:49want to do here on the channel. The goal
19:50of today's video was to help you
19:52understand what a trading bot is and how
19:54to actually set one up the right way,
19:56and then in future videos, we'll go in
19:58depth on very specific builds and
20:00strategies, and do lots of live tests
20:02because I'm just still experimenting all
20:04the time. I'm even doing a test right
20:05now where I've put Claude and GPT and
20:07other models up against each other to
20:09see which one is the best. So, that is
20:11how to build a real trading bot. I'll
20:13leave the prompt available below. It's
20:15in the WhatsApp community on the pinned
20:17link. And of course, if you want to keep
20:18leveling up your own trading and
20:20investing, subscribe to the channel as
20:22I'll be bringing you the AI strategies
20:24that can help you stay at the forefront
20:26and [music] the edge of the market. I'll
20:28see you in the next video. Have a lovely
20:30rest of your day. Peace out.

About this transcript

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