NEW GPT-5 AI Good For TradingView Strategies? (watch ASAP)

Brief Summary

This video explores the capabilities of OpenAI's GPT-5 in the context of trading strategies. It tests GPT-5's ability to convert indicators into strategies, improve existing strategies, and create new strategies from scratch. While GPT-5 shows promise, particularly in generating new strategies with favorable risk profiles, it's not significantly better than GPT-3 for improving existing strategies. The video emphasizes the importance of user guidance and iterative refinement to achieve optimal results.

  • GPT-5 can convert indicators into trading strategies, providing a foundation for further refinement.
  • GPT-5 struggles to improve existing strategies effectively, sometimes eliminating profitable trades.
  • GPT-5 excels at creating new trading strategies, often with low maximum drawdown, making them suitable for leveraged trading.
  • Human guidance and iterative improvement are crucial to maximizing the potential of AI-generated trading strategies.

Intro

The video introduces a test of OpenAI's new GPT-5 model for trading strategies, examining its ability to convert indicators into strategies, improve existing strategies, and create entirely new strategies. The presenter emphasizes the importance of understanding the model's strengths and weaknesses to leverage it effectively in trading. He encourages viewers to engage with the content by liking, subscribing, and clicking the bell for notifications.

Better than o3?

The presenter questions whether GPT-5 is superior to GPT-3, noting that GPT-5 seems aware of their previous interactions, highlighting its strengths in reasoning, coding, and Pine Script. GPT-5 claims to be good at tweaking Pine Script and converting indicators into weekly strategies, which the presenter intends to verify through testing.

Convert Indicator to Strategy

The presenter challenges GPT-5 to convert the Lux Algo AI Super Trend Clustering Oscillator indicator into a trading strategy. He explains the indicator's logic, where blue uptrends suggest buying opportunities and red clouds indicate weakness, suggesting selling. The presenter explores two approaches: allowing the AI to determine buy/sell logic and providing specific buy/sell conditions based on the indicator's signals. He references a previous video on converting TradingView indicators into strategies for viewers seeking more information. The initial attempt, where the AI decided the buy/sell logic, resulted in a poor strategy with a -32% return on Bitcoin since 2018. When the presenter specified to buy on blue dots and sell on red dots, the strategy yielded 200% profit with a 37% max drawdown.

Improve Strategy

The presenter tasks GPT-5 with improving an existing Gshian channel strategy by reducing trades in sideways markets. He provides the AI with the strategy code, input screenshots, and Bitcoin chart data, instructing it to aim for higher profit and lower drawdown. Despite initial coding errors that required correction, the AI produced a new version with a lower drawdown (30% to less), fewer trades, and a slight increase in profitable trades. However, the AI failed to eliminate trades in sideways markets as instructed, even removing some profitable trades. The presenter expresses disappointment, finding GPT-5 no better than GPT-3 for this task.

New Strategy

The presenter aims to extract hidden, high-quality trading strategies from GPT-5's training data by giving it maximum freedom in creating a new strategy. He provides Bitcoin chart data and specifies a goal of super high net profit with a maximum drawdown below 30%. After multiple iterations to correct coding errors, the AI generated a strategy with a 15.46% max equity drawdown and a 61% profitable trade rate. Although the net profit was not exceptionally high, the low drawdown allows for 2x leverage, resulting in a 30% drawdown with 2,400% profit and a 60% profitable trade rate. The presenter recommends further conversation with the AI to improve the strategy and refers viewers to a video on improving trading strategies.

Conclusion

The presenter concludes that GPT-5 is not significantly better than GPT-3, suggesting it may be consolidating existing models rather than possessing superior knowledge. He recommends viewers explore pre-existing trading strategies on signum.money and consider the autotrading masterass for advanced portfolio management education.

Automate Strategies

The presenter promotes signum.money, highlighting the availability of the Gshian channel strategy for the one-day chart and the Ichimoku strategy for the four-hour chart. He mentions videos demonstrating how to automate these strategies for buying and selling on exchanges.

Become a Master of Automation

The presenter promotes the autotrading masterass program for individuals with crypto portfolios of $25,000 or more. He emphasizes the importance of education in building a risk-adjusted portfolio, understanding market cycles, and rebalancing. The program offers limited access and is designed for higher net worth individuals who understand the importance of risk management.

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Transcript

Full transcript of “NEW GPT-5 AI Good For TradingView Strategies? (watch ASAP)”. Click a timestamp to open the video at that moment. Need another video? Use the YouTube transcript generator.

0:00 That's right, guys. OpenAI just launched GPT5 and I've tested it for trading strategies. I've given it a very hard time. So, if you watch this video, you will know exactly what is good for and what it's not good for. Can it convert an indicator to a trading strategy efficiently? Can it improve a trading strategy by itself? And also, can it create a completely new strategy from the scratch? And if you watch the video until the end, you will know how to use this new AI model to your advantage. As you can see, I'm not in my usual studio environment because I'm traveling. This is my hotel room and this is a corner in that hotel room and I'm here to give you the latest information when it comes to AI trading strategies and automation. And with all of that, we already helped millions of people. I mean, we have millions of views on this channel. We

0:46 have 210,000 subscribers, which I'm very grateful for, right? Thank you very much. And if you appreciate that I'm bringing you this updates even while I'm traveling, then massage the like button, subscribe to this channel, click the bell as well to not miss out on this time-sensitive updates. And now, let's take this AI for a spin. First of all, this is the GPT5 model, and I asked it, how are you better than the 03 model? Because, you know, I like the 03 model. It's very powerful. And funny enough, it seems to know who I am, right? Because the first thing it says, it's stronger in reasoning and coding. And it even mentioned Pinescript and Trading View as if it knows the history that we had together. It even says that it's good at tweaking Pinescript and also converting an indicator to a weekly strategy.

1:33 Basically, it says that it's good at Pine Script. So, let's check it out. Right. The first challenge I want to give it is to convert this indicator to a trading strategy. This indicator seems to be quite interesting. By the way, this is called the Lux Algo AI Super Trend Clustering Oscillator. Wow. Let's go. Right. And this one is interesting because I found that whenever there is basically a blue uptrend here, then also the price goes up and then when there is a weakness in the chart, right? So you have this red cloud here in the indicator, it gets weaker. You could get out, right? To protect your profits and so on. And the first thing I said is basically take this indicator, right? Because there is code for this. And I can just click here on these code brackets and then it gives me the code. So I can take the whole code, I can go

2:20 to the AI and I can tell the AI to convert it into a trading strategy. Now I have two options, right? I can leave it to the AI to decide when to buy and when to sell, which I did, but I can also tell the AI when I think it should buy and sell, which I also did. So let's see which one is better. And if you are new around here, I do have a video about how to convert a Trading View indicator into a strategy with 1.4 million views. Okay, so if you want to dig deeper, watch this video afterwards. Okay, so I took the entire indicator code, right? Copy the whole thing and I gave it to the AI here in the prompt and the prompts are all down below. You will find all of them. But I also given it the Bitcoin chart data which I always export from here. Export chart data because I wanted to have the same data that I am looking at. Long story short,

3:06 I told it please convert this indicator to a trading strategy. I should have put a space in between as you see fit. Right? So I didn't tell it when to buy, when to sell. find attach the data right from the Bitcoin USD one-day chart and I gave it some limitations the way I trade right long only 2018 to the future one day chart 100% of equity per trade is better to compare like this 0.1% commission one tick slippage okay cool and then it went ahead and calculated the whole thing and it gave me this trading strategy okay I copied the whole code right and I've put it here right I have a trading strategy for testing paste it there basically And I always put AI test in the beginning so that on the chart I know that this is the test version that I have. Save it, right? And

3:54 then let's see what it comes up with. Well, it's a pretty bad strategy. Okay, minus 32% on Bitcoin since 2018 is a pretty bad result. Okay, so the strategy is uh not great. But the next thing I did is super interesting because I told it, okay, the results are horrible. I mean, of course, try a different buy, sell logic. Buy when blue dot, sell when red dot. I mean, I didn't really give it a lot of information, but when you go to the chart and you check it a bit more, then you can see that whenever there is a blue dot happening, right? Not just crossing above the line, but the dot is happening, right? It's printed. It's actually a good time to buy. And when there is a red dot, where is the next red dot? There is a good time to sell,

4:39 right? So, that was a good trade. So I went to the eye and said, "Hey, please do it like that." Okay. And the AI gave me new code. So let's copy this and let's put it here. And again, AI test. So I remember that this is the test. And let's see which result it gives now because now suddenly it gives,200% profit with 37% max draw down. And it's not the best thing, but it's quite okay. And it somehow added this zero line which yeah, which messes up the scaling. But let's see if it did the right thing. Okay, let's see if it respected my request. So, here is the the dot, right? It's printed and on the next candle open, it buys perfect, right? And then here is the red dot, the first red dot since then and it sells. So, this is the

5:24 logic I wanted. And it's not too bad actually for the fact that it took me 5 minutes to come up with this, right? Converting an indicator to a trading strategy definitely works and it gives you a good foundation to build on top. And if you're interested in improving a trading strategy and how to do it step by step, watch the video that I will put up here. And for the nerdy people watching this video, it says here that the strategy might have a look ahead bias. Of course, you need to take this seriously. Okay? And you can ask the AI, hey, what does it mean? But as you can see here, the condition to enter is only when the bar is confirmed, right? So there is no look ahead bias in this particular case. The next intellectual challenge for GPT5 is to take an existing trading strategy that you like, for example, and improve it. Okay, make

6:11 it better. Of course, you have to tell him what better means because it's an AI, right? You have to give it good instructions. And the way I did it is that I took the Gshian channel strategy code, which I have, which you don't have, but it doesn't matter. You can take any strategy that you have access to, and I wanted it to make it better. But make it better in this case means that it should avoid trading in a sideways market, right? Because you can see here it loses money a lot of times because this is a a long sideways chop. And I wanted to take only the nice trades, right? Where the trend is clearly up, right? Not sideways. So I told the AI to do exactly that. I went to GPT5 and I gave it a couple of informations, right? not only the code but also the screenshots of my inputs

6:59 and the properties that I'm using to be sure that it uses the same settings that I use just improve the strategy right to make it better again I gave it all the data of the Bitcoin chart which again you can download by coming here and clicking on export chart data right and then I told it to improve the strategy because it trades in sideways markets and loses money right so the idea is to avoid such trades and to make it better and better means 4% profit and lower draw down. I told it to consider all the attached images and data. I gave it the code of the existing strategy and then it went on to create a better version. The problem was that it created some errors, right? So I had to tell it, hey listen, I have this error. I just give it a screenshot, right? And then I say,

7:44 hey, fix the error and give me the full fixed code. Then it gave me fixed code. But then there was another error because it always uses adx and this function does not exist in pine script. It's very annoying because it does it all the time. Okay. Anyway, gave it that screenshot, fixed the code. Long story short, I then went to Pinescript. I pasted in the new code, right, that I obviously got from the AI and this is the new version it gave me, right? So, let's forget the total P&L for now. The draw down is lower than the previous version. and let me switch between. Right? So you see the previous version had 30% draw down. Total trades is less. Okay, cool. Right? Because it trades less in sideways markets. And also the profitable trades went up by well 3%

8:30 points. Not huge. And the profit factor went up a little bit. But in total this new strategy has less profit. But still at least the AI managed to improve the draw down because that's what I told it right that a better strategy means either or both, right? either I have more profit or I have lower draw down. But what is a bit disappointing is that when you look at this area here, this is the sideways market that I don't like. Right? And I gave it the instruction to eliminate these trades, right? And if you compare with the old version, all those trades are still there. But what it eliminated are actually the profitable trades. You see this one here disappears in the new version, right? And also this one here disappears in the new version. This is very disappointing.

9:15 And I think that this model is not any better than 03 before for this type of use case. And I really expected the AI to do a better job. Of course, I can now continue talking to it, give it more screenshots, tell it, hey, this trades here is the are the ones I don't like. But it is disappointing. Let's go to the next challenge. Maybe it's better there. Is GPT5 better creating completely new trading strategies? And the idea here is, let me tell you the secret. The idea here is that I'm hoping that in the training set of the AI, there are very good trading strategies hidden, right? I want to get it out of it. Okay? So, I give it the most freedom possible to create a good trading strategy. So, here's the thing, right? Again, I go to the I give it the chart data. I think that's important because it has to have

10:00 the same data as I have in Trading View, right? And then I said, "Hey, I need the best trading strategy you can come up with for Bitcoin USD one day chart data attached long only 2018 to 2069 because it's funny, right? Sometime in the future." Yeah. One day chart, 100% of equity per trade, 0.1% commission, one tick slippage, and the goal is to have a super high net profit and a max draw down that is below 30%. Let's go. It did come up with something, right? And the thing is that the first version that it gave me, I dropped it in. Yes. It had of course coding errors. So I gave it again the ADX problem. Yeah. I gave it a screenshot. I told it to fix it. And then it didn't give me the full code, right? And I said, "Hey, give me the full code or the entire code." Cool. It

10:46 gave me the entire code. Then there was another issue with this function. Again, just give it a screenshot. You don't need to understand what the issue is. Just make sure it can see the code around it and the error itself. Right? And so, okay, give me the full fixed code, right? It gave me another code. There was another coding error, okay? And so on and so on. In the end though, it gave me an interesting trading strategy that I want to show you right now. This is the trading strategy it gave me. And as you can see, what I really like about it, the max equity drawdown is just 15%, 15.46. That is amazing. Profitable trade 61%. Oh my god, that's so good, right? profit factor 7.1 and now you would say yeah but the net profit is not that high

11:32 compared to gshian channel that is correct but gshian channel and here's the trick how to think about this has a draw down of 30%. Right? So now check this out. If you basically take this strategy from the AI and you 2x it, right, you leverage it 2x, then you have 30% draw down with 2,400% profit, but 60% profitable trades. Way better. Okay? So, you see what I mean, right? So, you have a higher chance of success even though the net profit is lower. But when you have a super super low max draw down, you can leverage the strategy 2x 3x. Okay? Don't go above that. Right? and then you basically take advantage of the entire thing. Now, what you can also do, of course, is you can continue the

12:19 conversation with the AI to improve this strategy in front of you even further. And that's exactly what I recommend doing because you will never get the perfect strategy from the AI and that's it. You will have to improve it. And I have a video for exactly that, a step-by-step guide on how to improve a trading strategy, which steps to take, right? How to use the AI to help you do that. Right? This is the video up there. I think I linked it already. You will find it. It's a very important video because that's the only way, at least right now, to get to a way better trading strategy than the AI can give you from the scratch. Overall, I think GPT5 is not much better than the 03 model. I think what happens in the background is really that the AI is choosing from the existing models. You remember the models from before, right?

13:05 403, the mini versions and all these things. So GPT5 seems to be choosing from the existing models depending on the task at hand and it basically just uses all three anyway, right? Because that was the best one for coding or at least for our use case. So I don't think that this model has more knowledge or is smarter than before. It's just a consolidation of all the models that were there before to simplify it for everyone. If you want to get started with trading strategies that already prove themselves, go to signum.money. We have the gshian channel strategy for the one day chart, the Ichimoku strategy for the 4hour chart, and of course when you click here on get access, you can get access, but you can also see the videos representing those strategies and how to automate the strategies so they buy and sell on your exchange fully

13:51 automatically. If your crypto portfolio is $25,000 or more, then you need more than just trading strategies. Consider the autotrading masterass where I teach you my entire process including my trading strategies of course which are the best in the industry. Click on these screenshots and you will see every single trades they took. But you need the education to properly build a riskadjusted portfolio to know how to play the markets depending on the cycles and how to rebalance how to use all of this to your advantage. Right? Do your homework by the way. Check the reviews. Watch the video here on the website and you will understand that this is a limited access program for thousand people only. We still have some seats because I just started the program one year ago. This is the most advanced program that you can find and this is

14:37 just for higher net worth individuals for people who have enough money to understand that risk management is the most important thing. Okay. So, if this is for you, apply for access. Click this button. We're going to talk to each other. If it's a good match, then you can join. As you have seen, GPT5 is pretty good at creating completely new trading strategies, but you still need to learn how to improve them. And that is why this is the next video you should watch. [Music] to do. Yeah. [Music]

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