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CODING TRADING AUTOMATIONS | July 17 | Michele Rossi — Transcript

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0:04Welcome. Welcome back everyone.
0:10Glad to be here. Good morning everyone
0:12and welcome. Today we are starting a new
0:16four-part live series about trading
0:19automation, expert advisors, and trading
0:22bots.
0:48This series is proudly sponsored by
0:50Funded Prop and throughout this session
0:52we will use the Funded Prop environment
0:54as a practical reference. So, the goal
0:57is not to simply to show you how to
1:00automate a strategy. The goal is to
1:02understand how to build an automated
1:05system that is
1:07um logical, measurable, and compatible
1:11with the rules of a prop firm. And
1:13before we begin, let me remind you of
1:15something important. During today's live
1:18you can use the code live to receive 15%
1:21off Funded Prop challenges, instant
1:23accounts, or or futures account. I will
1:26mention it again later, but for now
1:28let's focus on the real subject of
1:31today's session. Why coding a strategy
1:35can completely
1:38change the way you trade.
1:41Let me start with a question.
1:43Have you ever watched a video where
1:45someone presents an incredible trading
1:47strategy?
1:48Maybe they show you a few perfect
1:51trades, they draw some lines on the
1:54chart, they explain the entry with
1:57complete
1:58um
1:59they go uh for uh
2:03a a a new a new rule and then an after
2:06rule and then another one.
2:09And then they show you a back test and
2:13say, "Look at the results. This strategy
2:17works."
2:18After that, they tell you to back test
2:20it manually. So, you start scrolling
2:23through charts. Okay? You do like this,
2:26no?
2:27You go on TradingView, you select your
2:29chart, your time frame, you
2:34you go back
2:36in
2:36and then you start doing like this,
2:40right?
2:41You These are This is the the
2:45sell. Then you go and you place your
2:47sell and so on and so on and so on.
2:52Well, good.
2:54Um
2:55After that,
2:57you start
3:00recapping and after hour
3:04and hours and hours of back test because
3:06it requires time, 10 hours
3:09become 50, then you mark entries,
3:14exits, stop losses,
3:16and targets. Eventually, you have
3:19hundreds of examples and the results
3:23might look
3:25really really good.
3:28It looked promising.
3:29You begin to believe that you have found
3:33something special.
3:35Then you take the strategy live and
3:37suddenly the results
3:40that looks very good on the equity curve
3:45of the back test
3:47starts to look something like this,
3:53right? You happens
3:58the results are completely different.
4:01The market seems slower. The entries do
4:04not look as clear.
4:06You hesitate. You enter too late. You
4:09move with a stop loss. You close the
4:11winner too soon. You skip a trade,
4:13maybe, because the previous one was a
4:15loss.
4:18And
4:19at the end of the month, you realize
4:21that the strategy you tested is not the
4:24same strategy you traded live.
4:28The back test was one system. Your
4:31emotions created another one.
4:34Then, usually, the guru
4:38appears with the next big idea. The next
4:42big great idea. This indicator that
4:44makes the strategy work.
4:47This is the indicator. So, I created the
4:49indicator for TradingView. So, you buy
4:51the indicator, you buy the signal, you
4:54join the private community, maybe you
4:56buy another course.
4:58But the real problem has not changed.
5:01You still do not know whether the
5:03strategy has a genuine edge.
5:07You still do not know
5:10which rules are essential.
5:13You still do not know what happens when
5:15market conditions change.
5:17And you still depend on your
5:19interpretation
5:21in real time.
5:22This is where automation becomes
5:26powerful.
5:30Not because it's magic. Not because a
5:32bot can predict market, and definitely
5:34not because a bot can guarantee profit.
5:38A bot simply follows instruction
5:43much better than we can do.
5:46If the instructions are poor, then the
5:49bot will execute poor instructions
5:52faster and more consistently than a
5:55human trader.
5:56But, if the rules are clear, tested, and
6:00properly designed,
6:03automation can help us remove
6:05unnecessary discretion, enforce risk
6:09management, and evaluate a strategy with
6:12much greater consistency.
6:15That is the real purpose of this series.
6:19We are going to start with a trading
6:21idea, transform it into objective rules,
6:25test it using TradingView and Pine
6:28Script,
6:29analyze the results, adapt the risk to a
6:32prop firm environment, and eventually
6:35turn the logic into a working expert
6:39advisor.
6:40Whether you're going to be trading with
6:42a
6:43um
6:45CFD account or a future account,
6:49it does not matter.
6:52Just change the
6:55the rules.
6:58The rules can change,
7:00the environment can change,
7:03but the the purpose
7:06of this
7:07is unchanged.
7:10And because this series is sponsored by
7:13Funded Prop, we will use Funded Prop
7:15Classic Two-Phase Challenge as our main
7:19example. This is what I like most.
7:21Because to me,
7:23Funded Prop Classic Two-Phase Challenge
7:28have the best ROI
7:31ever. Let me show it to you.
7:38If you go to Funded Prop website,
7:41you can change the language from here,
7:42of course.
7:44And you scroll down.
7:46This is what I like, classic two
7:51phase.
7:53This one, right here.
7:57You have
7:59a
8:00uh
8:02right here, like the challenges. You
8:04have a classic, let's say you got a 100k
8:08challenge.
8:09You have the phase one, where you have a
8:12profit target of 10%, you have a maximum
8:15drawdown of 5%, that's great. You have
8:19daily daily drawdown. You have a max
8:21drawdown
8:22overall 10%.
8:25Crazy. Crazy good. And
8:27look,
8:29you have unlimited duration of the
8:31challenge.
8:33That is your edge.
8:36Probably they will cut this part. They
8:39don't want you to know this.
8:41It's unlimited. You don't have to rush.
8:45Okay? For the pro, don't cut this down.
8:47This is very important to help people.
8:50Then you have a second phase, you need
8:53to reach a 5%, which is
8:57quite good.
8:58Still have a 10% of maximum drawdown and
9:01unlimited time.
9:04Then you go live.
9:06And what you make is yours.
9:0980/20 split profit, 80 goes to you.
9:15Pretty straightforward. This to me, for
9:18automatic trading, for bot trading,
9:25have the best
9:27ROI, return of investment.
9:32You buy this challenge,
9:36you spend with my code, you have 15%
9:39off.
9:43100K classic
9:46$500, use the code live, you get 15%
9:50off. It's $458.
9:53In euro is something about 400 euros.
9:58And you have $100,000
10:01to play with.
10:04One trader at a time, no more than 1%
10:06risk per trade. You find a good
10:08strategy, good back test, and you're
10:10good to go.
10:12Let's go back to our thing.
10:15Um
10:19I really like Let me tell you why I
10:21really like the classic challenge.
10:24For this project,
10:26I really like this type of environment
10:30because the rules, as you can see, are
10:33relatively clear and the structure is
10:36easy to understand.
10:39So, again, 10%
10:42drawdown and 10% target in phase one, 5%
10:45target in phase two. It has 5% max
10:48maximum daily drawdown, not a problem.
10:51We're not going to go more than one
10:52trade per day
10:54and no consistency rule. That makes it
10:57an interesting environment for traders
11:00who want to develop a structured
11:02approach without having to build their
11:05entire plan around a complicated
11:08consistency calculation. Of course,
11:10rules can change and every trader must
11:13check the exact conditions of their
11:15individual account before trading. The
11:17information shown inside the account and
11:20the official Founder Pro terms always
11:23take priority. It's very important for
11:26you to read it. But, the important point
11:28is this, Founder Pro allows the use of
11:31EAs and trading bots when they are used
11:35fairly. When the trader owns the system
11:39and when the automation does not exploit
11:42latency, platform errors, delayed
11:45prices, or other unfair advantages.
11:49Okay?
11:52This is it.
11:53You can think this is not good. You can
11:56think it's good. If you don't think it's
12:00good,
12:01grab your personal $100,000
12:05and go trade with that. You can do
12:07whatever you want. But for just $400,
12:11you can have 100k to play with. You have
12:13to follow their rules. Their money,
12:16their rules. Okay? Keep that in mind,
12:19always.
12:21That is exactly the type of automation
12:23we are discussing. We are not talking
12:26about exploiting the platform. We are
12:28not talking about trying to trick the
12:30execution
12:33copying somebody else's trade or buying
12:35a black box system that you do not
12:37understand. We are talking about taking
12:41your own logic,
12:43testing it properly, and using
12:45automation to execute it in a
12:48disciplined way. Let me ask you
12:51something.
12:52When you trade, do you have your rules
12:54written down somewhere? Do you have a
12:56piece of paper with your rules?
12:59Or do you normally look at the chart and
13:01decide in real time whether something
13:03feels like a good opportunity?
13:06Write rules in the chat if your strategy
13:10is already written down. Let me see.
13:14And write chart if you mainly make your
13:18decisions by
13:20looking at what is happening in the
13:22moment. Let me see.
13:26Rules.
13:27Rules.
13:28Chart.
13:30Okay.
13:31Chart, chart, chart, rules, rules. Okay,
13:34mixed.
13:35There is no right or wrong answer.
13:39Most traders start with the chart.
13:42This is completely normal. The problem
13:45begins when the
13:47when we confuse an idea with a complete
13:50system. For example, somebody may say
13:55um I buy when the market is strong.
13:58That makes sense to another human being.
14:02But a computer has no idea what strong
14:05means.
14:07Does strength mean that the candle is
14:10large?
14:12Does it mean that price is above a
14:14moving average? Does it mean that the
14:16market has
14:18a broken has broken a previous high?
14:22Does it mean that volume is increasing?
14:23Does it mean that the market has moved
14:25in a certain number of points?
14:28Before we write any code, we need to
14:30define the answer.
14:33This is the first major transformation
14:37in systematic trading.
14:39We take an interpretation and turn it
14:42into a condition.
14:44We take a feeling and turn it into a
14:47measurement. We take a story
14:50and we turn it into a sequence of
14:53instructions.
14:55That is why coding a strategy is so
15:00valuable.
15:01Even if you never intend to use the
15:05final bot. Let me drink a little bit of
15:08water.
15:09Um let's check on your questions.
15:20Nice.
15:22Great.
15:25Beautiful.
15:30Back to our stuff.
15:32Um
15:38So,
15:45the process of
15:46coding
15:48a strategy forces you to be honest.
15:52Exactly when do you enter?
15:55Where do you place the stop loss?
15:57Where do you take profit?
16:00What happened What happens if the signal
16:03appears
16:04while another trade is open?
16:07What if
16:08the spread becomes too large?
16:11What happens if you have already lost
16:14money that day?
16:17What happens if the market reaches the
16:20target, but the the candle has not
16:22closed?
16:23What happens if important economic news
16:27is about to be released?
16:29A discretionary trader may answer these
16:33questions differently every time.
16:37A coded system cannot.
16:40The computer needs a precise answer.
16:45This is also where
16:47we need to understand discretion.
16:51What is discretion? Discretion is the
16:53part of a decision that changes
16:57according to interpretation. I'm reading
16:59right now.
17:03Definition of discretion.
17:07Part of a decision that changes
17:09according to interpretation,
17:12emotion, or personal judgment. Sometimes
17:15traders
17:16call it experience. Sometimes they call
17:18it intuition. Sometimes they say they
17:21never
17:23I mean they are reading the market. And
17:25sometimes let's be honest.
17:27It is fear
17:30and excitement wearing a professional
17:33suit.
17:35Those butterflies in your stomach may
17:37feel very important, but they cannot be
17:41reliably
17:43programmed.
17:44Do you really want to base the survival
17:48of your capital of a prop firm account
17:51on whether you feel confident today?
17:57Ask this to yourself. Do you want to
18:00risk to increase
18:04Sorry, to increase your risk
18:06because you had three winning trades?
18:09Do you want to skip a valid setup
18:11because the last trade was a loss?
18:14Or because you just don't feel
18:16confident?
18:19If you can explain your strategy
18:22clearly,
18:23then
18:25you can start reducing this question. If
18:28you can write it down, you can challenge
18:31it. If you can measure it, you can test
18:34it. If you can test it, you can improve
18:35it.
18:36And if the rules remain stable, you can
18:40automate them.
18:42Now, the first stage is not programming.
18:45The first stage is documentation.
18:48We need to explain what market
18:52we are trading, which instrument we are
18:55using, which time frame we are using,
18:58and during which hours the strategy is
19:02allowed to operate.
19:04We need to define the entry condition,
19:07the stop loss,
19:09the profit target, and the maximum risk.
19:14Right?
19:16We also need to define
19:18what the strategy
19:21does not do.
19:23Does it trades
19:25during
19:27news?
19:35Does it hold position overnight?
19:38Does it hold position over the weekend?
19:40Does it open multiple trades in the same
19:43direction?
19:45Does it trade when the spread is
19:48unusually wide?
19:51These questions are especially important
19:54when working with Funded Pro.
19:56During the challenge phases, Funded Pro
19:59currently allows new trading.
20:02News trading, sorry. However, on Funded
20:05account, news trading and news holding
20:07require the swing add-on.
20:10Weekend holding also require the swing
20:13add-on. That means the bot must know
20:17which account stage it is operating in.
20:22A strategy that behaves correctly
20:25during a challenge may violate the
20:27Funded account conditions if it
20:29continues to hold position through the
20:31restricted news period or over the
20:34weekend without the appropriate add-on.
20:38This is why we do not design a bot first
20:41and check the rules later. We design the
20:44bot with the rules already inside their
20:46key structure.
20:48The same principle applies to drawdown.
20:51If the classic account has a 5% daily
20:54drawdown and a 10% overall drawdown, the
20:57bot should not be designed to walk
21:00constantly on the edge of those limits.
21:04The objective is not to use every
21:06available percentage. The objective is
21:09to
21:10build a system that can survive normal
21:13losing periods.
21:15If the strategy needs to
21:18risk
21:195% in one trade to produce its results,
21:23it is probably not suitable for a
21:26disciplined prop firm approach.
21:28A professional system should understand
21:31how much risk is acceptable before it
21:34thinks about how much profit is
21:36possible. Let's see a simple example.
21:40So,
21:42imagine that we want to create a trend
21:45following strategy
21:48that buying on retracements.
21:53We say, "I want to buy when the market
21:56is moving upwards."
22:00Right here.
22:02That is the idea. Now, we need to
22:05translate it.
22:06Maybe the price must be above the 200
22:13EMA.
22:19200 period EMA. Maybe the moving average
22:23must be pointing upward.
22:29Maybe price must break the highest point
22:32of the previous 20 candles.
22:38So, we buy right here.
22:45Maybe the trade can only be opened
22:49during a specific session
22:53like the let's say New York session.
23:05>> Maybe the stop loss is placed at one and
23:08a half time the average true range.
23:20Right?
23:22ATR
23:24We place our stop loss right here.
23:37Maybe the target, the TP
23:41is
23:42um
23:44two times the initial risk. So, we have
23:46a
23:48one to two
23:49risk to reward.
23:51Maybe we have a 1.1. Maybe we have a one
23:56to 1.5.
24:02Now, we have something that can be
24:05tested.
24:07Notice that we did not necessarily make
24:10the strategy more complicated. We made
24:13the language more precise.
24:16This is what Pine Script allows us to do
24:20inside TradingView.
24:25You have the Pine Script
24:26and you can code it. It's quite simple
24:29today
24:30that you can use
24:33ChatGPT or Claude or any AI system
24:37to
24:38encode your strategy. You can talk about
24:41the strategy in plain English
24:44or Italian or whatever language you use
24:48and he's going to be created a so set of
24:52rules
24:53and these set of rules are going to be
24:55coded into Pine, which is the the first
24:59language that I advise everybody to
25:01start with.
25:03This is not the best one. This is not
25:05what institutions are using, but this is
25:08a starting point.
25:11Okay?
25:13Of course, we should not treat
25:15TradingView backtest as a perfect
25:18representation of live trading.
25:20There are limitations.
25:23Lot of.
25:26Historical data may not perfectly
25:28reproduce the broker's feed. Slippage
25:31can change, spread can widen, liquidity
25:33can disappear.
25:35Uh the order may be filled at a
25:37different price than expected, but Pine
25:39Script is extremely useful for research.
25:43It allows us to test the same rules
25:44across thousands of historical candles.
25:48It allows us to change one parameters at
25:51a at a time. It allows us to see the
25:54equity
25:55the drawdown, the number of trades, and
25:58the behavior of the strategy during
26:01different market conditions. Like, for
26:03example, I have this strategy that I
26:05coded, and we're we're going to talk and
26:09and I'll walk you through this strategy
26:11very soon.
26:13And right here, you can see
26:16how it performed
26:19in the past. You have the total profit
26:22and loss. This is a period of time. This
26:24is
26:25April 5th,
26:282026
26:29to July 17th, 2026. So, it's about 3
26:33months period. It performed with a 5%
26:37profit, maximum drawdown 2.5%, 6% win
26:40rate, and a profit factor of 1.3. And it
26:44also
26:45take into consideration, let me see if
26:47it's properly
26:49uh
26:50Uh, okay, maximum bar detailization.
26:56Okay, we can we can add the commission
26:58like 0.25
27:01per contract.
27:02We can add couple of points of slippage.
27:05We can add
27:13lot of slippage, a little bit of
27:15and and you can see you can see how it
27:17change. It went from 5% to 3%.
27:211.3 profit factor to 1.2.
27:24And you have a lot of statistics down
27:26below and as well as a list of all the
27:31trades taken.
27:32And you can go back and say, "Did this
27:35strategy
27:36would this strategy have passed a
27:39challenge account, yes or no?"
27:41This is the first step. So, that's why
27:44this is very important to start from
27:46here.
27:48Um
27:51So,
27:52that is already a huge improvement
27:55compared with manually scrolling through
27:58charts for hundreds of hours.
28:01Manual backtesting can help you
28:03understand individual examples.
28:06Automated backtesting helps you evaluate
28:09the system consistently.
28:11The danger comes when we start treating
28:14the backtest as a promise.
28:17A backtest is not proof that the future
28:20will look the same.
28:22It is evidence. And evidence must be
28:26questioned.
28:28If I keep changing the parameters until
28:31the results look perfect, I may be um I
28:36may simply be over fitting the strategy
28:41to the past.
28:43I can create a system with a beautiful
28:46perfect historical results that fails
28:50as soon as the market changes.
28:53We will talk about overfitting in
28:55another video or join my YouTube channel
28:58Michele Rosso official and I've already
29:01talked about overfitting in depth.
29:05So the objective is not to find a
29:07perfect moving average.
29:11The objective is to understand the
29:13behavior of the system.
29:16How often does it trade? How large are
29:19the average wins and losses? How many
29:22losing trades can appear in a row?
29:25What is the maximum historical drawdown?
29:28Does the system work only during one
29:31specific year? Does it depend on one
29:34market event? Does it still behave
29:37reasonably when we include costs and
29:41slippage as I showed you?
29:43These questions are much more important
29:46than simply asking whether the backtest
29:49made money.
29:51A strategy can produces a 30% return but
29:55suffer a 25% drawdown.
29:59May be much less useful than a strategy
30:02that produces a smaller return with a
30:04more controlled equity curve.
30:07Especially in a prop firm challenge,
30:10survival comes before acceleration.
30:14Funder Pro gives us an environment where
30:16automation can be used as part of a
30:18structured process. The bot can help us
30:21respect the risk limits, avoid impulsive
30:25decisions, and execute the same logic
30:28across every valid setup. But the
30:31advantage is not that the bot can ignore
30:34the rules. The advantage is that the bot
30:37can help us apply them consistently.
30:41This is
30:43That is a very different way of
30:46thinking.
30:47The bot should know how much to risk. It
30:51should know when to stop trading for the
30:53day. It should know when the spread is
30:56too high. It should know whether a
30:58position is allowed to remain open.
31:02Whether a news event is approaching.
31:04What to do if an order is rejected.
31:07Where many people make a mistake is
31:10exactly this. They focus on the entry
31:13signal because the entry looks exciting.
31:16But, the entry is only one small part of
31:19the overall system.
31:21Remember, keep in mind execution,
31:24position position sizing,
31:27um
31:28risk limits, trade management, and
31:31monitoring
31:32are just as important as the entry.
31:37A working bot
31:41is not simply a green arrow on a chart.
31:46A working bot is a complete process.
31:51Stay with me. Bear with me. We're
31:54talking
31:56theory. We're going to look at it in
31:58practical, but we need to understand
32:01first
32:03what the bot does. It receives data. It
32:07identifies a valid condition. It
32:10calculates the position size
32:12automatically. It sends the order. It
32:15set the stop loss and the target. It
32:17manages the opening range, the open
32:20trade, sorry. It record the results, and
32:23it knows when not to trade.
32:27And in the next live
32:30next
32:31Friday, so next week on Friday we go
32:34live Monday morning. We go for a
32:38fundamental and preparation of the week.
32:41On Wednesday,
32:43we go for an update on the fundamentals
32:46intermarket and sentiment analysis. And
32:48if we find a um
32:52a a good
32:54uh entry, of course, we trade live. And
32:56on Friday, we talk about how to
33:01start from an idea,
33:03develop the idea, code the idea,
33:06optimize the idea, validate the idea,
33:10and
33:11create a working strategy and a working
33:14bot, and then deploy live on a prop firm
33:18account.
33:21Okay?
33:24So,
33:25we will take a strategy idea,
33:30and we break it down into objective
33:34rules.
33:35We will look at what can be
33:40coded
33:49and what is
33:51still discretionary. And the reason that
33:54session will be very practical. So, I
33:57want you to arrive with one strategy
33:59idea in mind. I already have mine, but I
34:03want to
34:04hear and know about you what you want to
34:06make. We're going to do it together.
34:08It could be based on breakouts, moving
34:10averages, market structure, support and
34:12resistance, liquidity, momentum,
34:14whatever.
34:16ICT concept, whatever you like. But you
34:19must be ready to answer one question.
34:23What exactly must happen before your
34:27strategy is allowed to enter a trade?
34:31That is where the real process begin.
34:35In the third live, so
34:38the third week, this is the first
34:41we talk about the second, I'm talking
34:42about the third, we will test the first
34:46version and analyze whether the results
34:49are robust or simply attractive. And in
34:53the final live, so the fourth
34:56Friday live, I will show you the
34:58complete bot, how it operates and how
35:01the parameters can be adapted to your
35:05own trading plan.
35:07The bot will be
35:09um
35:10shown to you guys.
35:13Okay?
35:14And so the whole process
35:17you're going to see the whole process
35:19starting from the idea to the final
35:21working bot, so you can do the same.
35:24Reminder that a bot is a tool
35:27and the trader still needs to understand
35:29the logic.
35:30Choose the appropriate settings, test
35:33the system, and verify that the account
35:36conditions are respected. That is
35:39exactly why the series is important.
35:42This series is truly really important.
35:45We are not just pressing a button and
35:47hoping for the best. We are learning how
35:49to think like system developers, like a
35:52quant. Before we finish, let me leave
35:55you with one sentence. If you cannot
35:57define the strategy, you cannot test it.
36:01If you cannot test it, you cannot
36:04evaluate it. And if you cannot evaluate
36:07the logic, you should not automate it
36:10and not trade it. If you want to follow
36:13this entire process, make sure to join
36:16the next live, subscribe to the channel,
36:18leave a like, and ask any question in
36:21the comment section if you're
36:22re-watching this video.
36:24I will answer any question. So, we will
36:28start from the recap next week. So, even
36:31if you missed today's session, and I
36:33advise you to watch it again, you will
36:35be able to follow along. And remember,
36:38if you want to take advantage of the
36:40Funded Prop promotion, the code live
36:43that you can see down below or up above,
36:45I don't know, it gives you 20 Sorry, 15%
36:49at the moment of today on Funded Prop
36:52Challenge account, instant account, or
36:54futures accounts. The code is available
36:57during this live and extra 30 minutes,
37:00but the real value of this series is not
37:02the discount. The real value is learning
37:05how to build a process that is clear,
37:09testable, and repeatable. Thank you guys
37:11for being here with me today. I'll see
37:14you again next week.
37:16Peace.

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