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AI Converts TV Indicators into Strategies

Creating Trading Strategies With AI

Transforming Indicators into Profitable Algorithms

In the ever-evolving world of finance and technology, the ability to analyze and adapt trading strategies is paramount. This lesson unveils a groundbreaking method to convert traditional trading indicators into robust strategies using artificial intelligence. Understanding this process is vital not only in traditional finance but also in the rapidly expanding world of cryptocurrencies, where the need for effective trading strategies can be the difference between profit and loss. The integration of AI and blockchain technology can revolutionize trading experiences, ensuring you’re armed with the knowledge to navigate both landscapes effectively.

Core Concepts

1. Trading Indicator

A trading indicator provides signals that traders use to make decisions about buying or selling an asset. In traditional finance, indicators like moving averages help to analyze price trends. In the crypto world, similar indicators are employed, but the volatility can lead to different implications in strategy effectiveness.

Importance: Understanding trading indicators lays the foundation for creating successful strategies in both traditional markets and the crypto sphere.

2. Trading Strategy

This refers to a systematic plan that dictates the buying and selling of assets. Traditional trading strategies often rely on historical data and technical analysis, while in crypto, the rapid market changes necessitate dynamic adaptations.

Importance: Grasping the concept of a trading strategy is crucial as it helps you navigate the inherent risks and volatility in crypto markets.

3. Artificial Intelligence (AI)

AI involves computer systems that simulate human intelligence for tasks such as data analysis and strategy development. In finance, AI can process vast amounts of data to identify trends. In crypto, AI can provide real-time analysis of market conditions.

Importance: Utilizing AI to guide trading decisions can drastically improve your chances of making informed, profitable trades.

4. Pine Script

Pine Script is a domain-specific programming language designed to create custom technical indicators and strategies on TradingView. Understanding its syntax is essential for effectively coding strategies derived from indicators.

Importance: Familiarity with Pine Script transforms the way you interact with trading platforms, enabling you to customize your trading approach.

5. Backtesting

Backtesting involves applying a trading strategy to historical data to evaluate its performance. This process is essential in both traditional finance and crypto to validate strategies before risking real capital.

Importance: Validating strategies through backtesting can save you from substantial losses in both realms of finance.

6. Signal Generation

This is the process of determining when to buy or sell an asset. In traditional finance, signals are often derived from moving averages or other indicators. In crypto, signals may also incorporate news events or social media trends, adding layers of complexity.

Importance: Mastering signal generation enhances your decision-making process, crucial for success in crypto’s fast-paced environment.

7. Automation

Refers to using technology to execute trades based on predefined rules without human intervention. This concept is crucial in both traditional and crypto trades to capitalize on market movements efficiently.

Importance: Automating strategies not only saves time but can also reduce emotional trading, leading to more disciplined decision-making.

Key Steps in Strategy Conversion

1. Understanding the Indicator

  • Identify Indicators: Select indicators to convert, such as Bollinger Bands or Supertrend, to understand when to buy or sell.
  • Codify Decision-Making: Define the conditions of the strategy based on the signals provided by the chosen indicators.

2. Utilizing AI for Conversion

  • Select the AI Tool: Use an AI platform (like ChatGPT in this case) capable of converting indicator code into strategy code.
  • Prepare the Code: Ensure you have the source code of the indicator; you’ll need this to instruct the AI.

3. Applying Code in Trading Software

  • Copy the Code: Paste the AI-generated code into your trading platform’s script editor.
  • Run Backtests: Assess the performance of the generated strategy against historical data.

4. Modifying Strategy

  • Debugging: Fix any errors in the code that can interfere with the strategy’s execution.
  • Refining Conditions: Adjust buy and sell signals as necessary based on backtesting results.

5. Finalizing and Automating

  • Deploying the Strategy: Implement the strategy in live market conditions while monitoring performance.
  • Automate Execution: Using automation tools, like trading bots, to carry out trades according to the defined strategy.

AI Creates Automated Crypto Strategies

Understanding the Indicators

  • Traditional vs. Crypto: While indicators in traditional finance depend on historical data trends, the immediacy of crypto markets may require faster responsiveness to signals.

Utilizing AI

  • AI Adaptations: AI’s role is even more pronounced in the high-frequency trades typical in crypto, requiring robust algorithms for real-time decision-making.

Applying Code

  • User-Friendly Interfaces: Blockchain platforms often provide simplified interfaces for deploying strategies, promoting wider accessibility.

Modifying Strategy

  • Dynamic Adjustments: In the case of crypto, strategies may require more frequent adjustments due to volatility—something traditional markets are not accustomed to at the same pace.

Finalizing and Automating

  • Smart Contracts: In crypto, leveraging automated trading strategies can also mean engaging with smart contracts, allowing for self-executing trades without cluttering any intermediary platforms.

Real-World Applications

Historical Context

Understanding how past trading strategies performed during various market conditions is essential. For example, the BTC price analysis during its surge illustrates how adapting strategies based on indicators led to significant profits.

Application in Markets

You might find, for example, that Bollinger Bands historically provide reliable signals during sideways markets but may fail during trends. Similarly, in crypto, combining multiple indicators can mitigate risks associated with high volatility events like news shocks.

Cause and Effect Relationships

The relationship between indicator performance and market trends serves as a vital lesson. Misinterpreting signals can lead to losses. The same cause-and-effect relationship can apply in crypto, where understanding market sentiment can drastically affect price movements.

Challenges and Solutions

Common Challenges

  • Market Volatility: Incrypto, the erratic price movements can lead to unexpected losses if not managed well.
  • Signal Noise: Often, indicators generate false signals that require rigorous strategies to filter.

Solutions

  • Rigorous Backtesting: Validate strategies using historical data to discern genuine signals from noise.
  • Adjusting to Market Conditions: Continuously refining strategies as market dynamics evolve, especially relevant in the fluid landscape of cryptocurrency.

Key Takeaways

  1. Indicators are the Foundation: They help articulate when to enter and exit trades in both finance and crypto.
  2. AI Can Empower You: Leveraging AI tools can accelerate the conversion of indicators into actionable strategies.
  3. Knowledge of Pine Script is Crucial: Adequate scripting skills can simplify strategy development and debugging.
  4. Backtesting Validates Strategies: Historical validation can save you from costly errors in live trading.
  5. Automation Enhances Efficiency: Implementing automated trading strategies can maximize your operational capabilities.
  6. Maintain Flexibility and Adaptability: Adjust strategies based on feedback and market trends, especially essential in crypto.
  7. Combining Indicators Can Mitigate Risk: Diversifying signal sources can cushion against the inherent volatility of crypto markets.

Discussion Questions and Scenarios

  1. How does the reliability of indicators differ between traditional finance and cryptocurrencies?
  2. Can you outline a hypothetical situation where an indicator provided a false signal? How would you adjust your strategy to mitigate this in the future?
  3. Compare the impact of news on market movement in traditional finance versus crypto.
  4. If you automated a trading strategy, how would you set parameters to avoid losses during high volatility?
  5. Discuss the advantages and potential pitfalls of using AI in trading strategies.
  6. If one strategy is profitable in a trending market, does it warrant use in a sideways market? Why or why not?
  7. How might you adapt backtesting strategies for cryptos compared to traditional stocks or indices?

Glossary

  • Trading Indicator: Tools to analyze price movements and generate buy/sell signals.
  • Trading Strategy: A set plan for trading that outlines entry and exit criteria.
  • Artificial Intelligence (AI): Technology that mimics human intelligence for data analysis.
  • Pine Script: Programming language for creating custom indicators in TradingView.
  • Backtesting: Assessing a strategy’s performance over historical data.
  • Signal Generation: Process defining specific buy or sell conditions.
  • Automation: Technology-driven implementation of trading strategies without human interference.

As you dive further into these concepts, remember that practice is key. Experiment with different strategies, continually refine them, and embrace both traditional and revolutionary approaches in the realm of crypto and finance!

Continue to Next Lesson

Your journey doesn’t end here! Continue on to the next lesson in the Crypto Is FIRE (CFIRE) training program, where we’ll delve deeper into automation tools to further optimize your trading strategies. Get ready to level up!

 

Read Video Transcript
Convert TradingView Indicators into Strategies with AI (IT FINALLY WORKS)
https://www.youtube.com/watch?v=ETuIpsL_7Mc
Transcript:
 That’s right, guys.  In this video, you will learn how to convert an indicator  into a strategy using AI.  Finally, this is the method  that will help millions of people to do that.  And after my last video,  where I took the top five indicators,  I converted them into strategies while coding.  I did it myself.
 You guys asked me, okay, Michael, that’s all great.  You showed us that the indicators that we’re using  are not all so great and we should use strategies, how to freaking create strategies especially when i have an indicator  it looks great how to convert it into a strategy well that’s why i’m making this video because  i wanted to help you and i found the method guys okay i found the right ai the right prompt that  you can use to make this happen and in this video I’m going to show you all of that. This video will be less cutting and more raw because I want you to also see the
 problems that can happen and how to solve them. There are not a lot of problems, but a couple of  them might happen. And I want to show you how I do it in real time without cutting out all of those  errors, right? So guys, if you love that, make sure to destroy the like button. Okay, massage it, cuddle it, love the like button.
 Just click on it because I am making these videos to change your life,  to give you game-changing educational content on this channel.  While this is not financial advice, crypto is risky.  You can lose all of your money, but that is why you subscribe to this channel.  You watch the videos that I make because that increases your chances of success, guys, right?  That’s the whole point.
 We have to be better than other people because it’s a player versus player  game. So let’s get into this video. Let’s learn how to create a strategy from an indicator with AI.  It’s going to be awesome. Let’s get started. I’m very excited to show you this, guys, because it  makes you independent and gives you so much power, right you can turn any indicator into a strategy and you can create even completely new strategies  you can combine different indicators into a strong strategy but let’s get step by step into this  topic right first of all we’re going to convert three indicators into strategies using open ai
 and let me show you which open ai we’re going to use because you have to use the  right one. So you have to use ChatGPT-01 preview. That is the one that gives the best results. And  that’s why I’m so excited about this method, right? I have had a couple of conversations.  As you can see here, we have the bull market support band conversation, Supertrend and  Bollinger Band. And the results that I got, guys, are incredible.
 Okay okay so this is my version of the strategy right producing  736 profit with these other KPIs and when I turn on the GPT version of that strategy turning it  on now you can see the exact same results okay that is fascinating the next thing is the super trend strategy, my version, right? With 530% profit and GPT version, 530% profit.  Exactly the same.  Yes, it’s a lot of stuff in the chart, but just to show you that this AI version that  we’re using here to create strategies produces very good results.
 And I want to show you how to do it yourself right now.  All right, guys, let’s start with a bull market support band.  This is an indicator that you have seen in my previous video  that looks like it’s actually quite nice  because whenever the lines cross, right, to the upside,  there might be a good buy signal.
 And then when they cross to the downside,  there might be a good sell signal.  So let’s convert this idea into an actual strategy, right?  So first of all, bull market support band,  let’s add it to the chart, click on indicators first of all bull market support band let’s add it to the  chart click on indicators search for bull market support band and click on this one you will have  it on your chart it will look the same as mine now the next thing you need to do is you need to hover  with the mouse over this indicator here and click on the source code because you need the code to
 give it to chat gpt right to convert it into code into a strategy so click on that and  here you get the code of that indicator just copy it right just copy it as it is and go here to the  prompt which is below this video copy paste the prompt and everything and in this prompt you have  three sections and before i put the code let me explain the sections the first section is  basically telling chat gpt what we want  from it and also we are giving it a good confidence saying hey you are a professional pine script
 version 5 developer right so that it does the right thing for us the second section is giving  it instructions on how to behave in certain situations which settings to use per default  so i have put this together carefully so that we avoid the common issues and the third  section is the code of the indicator right so i’m telling it hey this is the code and here i paste  the code right and that’s it you don’t have to change anything else now copy the whole thing  right and now go to chat gpt and open a new chat and make sure you are on the 01 preview version
 that’s the only one that actually makes sense and just paste the  whole thing and let’s give it the first try and see what happens now what will happen here is  that it is thinking you see that it’s not immediately answering because the 01 preview  version is a better version that is actually thinking about its actions before giving a  response which is professional right so that has resulted in amazing results for the  strategy creation and after like 40 seconds 60 seconds something like that it gives the first
 version of the strategy so usually there are tiny issues in there but they’re very very easy to fix  i will show you exactly how to do that after we get our first version. All right, after 49 seconds, it gives us the first version. Let’s  copy the code without even looking at it. And let’s create the strategy.
 Back in TradingView,  right, you see here that you cannot edit this because you need to create a working copy.  That’s perfect. So click on create a working copy, right? Click on that, you get a new script with  no title at all. Just delete everything inside and put the  code from chat gpt here right and then click save click save again and let’s see what happens is  there any error no no error so far if there was an error i would show you how to fix it but i’m sure  it’s going to happen in the next indicator now the next thing you need to do is you need to add it to
 the chart and let’s make sure i am not in the way no i’m not in the way that’s good so add to the chart so now you need to click this button to add this strategy  to your chart to start seeing the results all right so we have added it to the chart and as  you can see here it produces well quite good results not exactly the same as mine so mine was  let me open it right now mine was 736 profit well this one is 383 profit but hey still not bad but now i  want to create the same result as my strategy but how can you do it right how can you double check
 if it’s actually done the right thing or not well it kind of depends on you as well because when you  look at the indicator then you have to make sure that this buying and selling arrows right that  you see here that they’re happening at arrows, right, that you see here,  that they’re happening at the same time as when you would buy and sell based on the indicator.
 So now you have to use your own mind and come up with something that you would be doing as well.  Now, as you can see here, there is a cross to the downside.  And after the cross, there is a sell signal, should be a sell signal, right?  Now, when I turn on the strategy again, we can see that it is selling, but it’s a bit later.
 Let me double check here if that is the case.  Yeah, so it should sell here, right? Because this is the cross of the indicator,  but it sells way later.  So for me, that looks like it’s selling  when it goes below the line  instead of selling when there is a cross.  Let’s see, let’s go back to the ChatGPT version  and let’s tell it that we want to buy when there is a cross to the upside of these two EMAs and  then we want to sell when there is a cross to the downside. Let me formulate a sentence and come back
 to you. Okay, so I’m telling it to buy when EMAs cross to the upside and sell when ema is crossed to the downside  and i don’t know if you noticed but there are these strange staircases that happens because  the strategy is actually going to the one week chart to get the numbers on the the prices and  then creates the results on the one day chart long story but if you don’t do fill gaps then it will  look like that so i am telling  it and i told it already by the way to fill the gaps but you know sometimes it doesn’t stick to
 all the rules that i give it it says here fill gaps right so it didn’t do that so i will tell  it to do that now okay so i’m saying also fill gaps to avoid jumps in the lines, in the lines. So let’s click enter and see what happens.  Okay, we have a new version.  Let’s see if that works out.  So we have here gaps off.
 That’s not really smart, right?  Because yeah, that’s the whole point of filling gaps.  So they should be on, but okay, like it’s not the end of the world.  And so let’s copy this code and go back to ChatGPT.  And by the way, if you want to make sure you’re editing the right code of your strategy,  then click on these source code brackets and you’ll arrive back in your own code.
 You just delete everything in there, put the new code, click save, and then see what happens.  Okay, it didn’t fill gaps, but let’s see about the profit results.  And now it looks like it has the same exact outcome.  Yes, it has the same exact outcome as my strategy so there you go guys we have managed to convert an indicator into  strategy and it does exactly the same as i would do right so doesn’t get much better than that i  hope you learned how to do it now let’s go to the next one and do it there as well because i want
 to show you as well a situation where there is an error in the code and how to fix that okay guys the next strategy that we want to create is from the  bollinger bands and the reason is that simply is the best one from my previous video it makes the  most profit so i think it makes sense for you guys to know how to do exactly that one and so first of  all you have to add the bollinger bands to your chart go to indicators search for bollinger band and click on the  technicals right this is the bollinger band indicator that you want to add to your chart
 click on that and then you see exactly the same as i do we are still on the bitcoin one day index  chart guys right and now again you need to use your brain a little bit to zoom into the chart  and understand okay when would i buy right because again it’s an indicator it doesn’t have buy and  sell signals right so when would i buy and when would i sell and to make it faster in this video  because i already explained it in the previous video i would buy when the price goes above the  upper band okay and then stay in the trade for as long as the price goes below the lower band right
 so quite long and then it will sell here, right?  So that would have been a very nice trade,  buying here and selling roughly here,  making 356% profit.  So let’s see if that idea leads to a lot of profit  in general, because sure, nice that it worked here,  but does it produce false signals?  Does it have a high drawdown?  All of this stuff.
 Okay, the same as before, we go here with the mouse mouse we click on the source code i will make this larger i will just copy the whole indicator  i will go to our prompt and i will make sure to delete the previous code here and put the new code  right copy the whole thing again go to chat gpt open a new chat make sure you are on the o1 preview and put the whole prompt in there click  enter and get a coffee while it is thinking man it’s thinking for a long time what’s happening  okay 41 seconds i don’t have any patience guys okay anyway so this is nice let’s see if it works
 but for sure we’re gonna have to tell it one more time when to buy when to sell because we just told  it hey convert it to a strategy and it made up its own mind when to buy, when to sell. You can see  here the long condition has something to do with the date range. That’s fine. But also it has to  do with the crossover. But let’s see if it does the right thing.
 Just copy the code, create a  working copy, click on this blue text here, right? Just is in there put the code from gpt click save  click save again and now let’s hope that there are no coding errors okay no coding errors there  that’s nice and now again click on add to chart okay this one here okay we have it on the chart  and well it doesn’t make money right it’s actually losing money but that’s because most likely it  would just do the wrong thing so we have to tell it when to buy and when to sell. But the first thing that we should be
 doing is checking if when we turn off the strategy and we turn it on again, if, you know, the Bollinger  bands, they overlap each other, right? So that is the case, which is very nice. That means that  it turned the indicator into a strategy. So that’s cool. But then it doesn’t know when to buy and  when to sell properly, right? So it buys here and then it doesn’t know when to buy and when to sell  properly right so it buys here and then it sells like whatever okay we want to do other things so  now i have to formulate a sentence where i tell it that when the close price goes above the upper
 band buy right and when the close price goes below the lower band sell which is definitely not doing  right now you see it does something totally different okay so go back to gpt  and let me formulate that sentence and come back to you okay so i’m saying thanks you always have  to say thanks okay you get better results like this yes be friendly guys right even to the ai  you never know when the ai will be in the form of a robot in front of you and you can say i was  always nice to you,  please take care of me, treat me nicely as well.
 Okay, I’m just saying.  Okay, so thanks, but now change the buy condition  to buy when the close price is above the upper band  and sell when the close price is below the lower band.  And so guys, keep in mind that you have to necessarily  have some plan, okay?  You cannot just hope that there  will be the best strategy on the planet coming to you for free, right? You have to think a little  bit.
 So you have to go to the chart, zoom in and think, when would you buy? When would you sell?  And just tell it to the GPT, right? And then it will create a strategy. So that’s the thing,  right? When you create a strategy from an indicator, you have to define when to buy and when to sell exactly right not just an  indicator an indicator always looks great with the eyes but then when you actually trade it it’s not  so good that’s why i’m making these videos guys to show you how it’s done and how to evaluate this  stuff okay okay 16 seconds not a lot of time so it was quite fast let’s just copy this and hope that
 it did the right thing and again let me click on these source code brackets just to be sure i’m editing the right  thing delete the whole thing put the new code click save and let’s hope we have better results  this time so this time wow it looks very nice thousand one hundred eighty seven percent profit  right so way better but before we compare with mine let’s just zoom in and see if it did the right thing so you see it is buying when because this closed above this closed above the line very  slightly so it bought on the next candle right so that’s nice and then here you can go and see that
 it actually sold when the candle closes so it sells it sells on the next candle the first second  right that’s why this candle closed below boom the next candle is the first, second, right? That’s why this candle closed below, boom, the next candle is a sell signal, right?  And that’s, by the way, best practice.
 You should only act on candle close because otherwise you get faked into a trade or out  of a trade, right?  So if we now activate my strategy, which is, let me zoom out to find it.  It’s here.  This one, you can see it’s exactly the same net profit exactly the  same drawdown everything is same so guys there you freaking go guys we converted two strategy  two indicators into strategies got to the same result as before and we still don’t have coding  errors so i’m guessing i have to go to do one more strategy for you as a bonus we’re gonna do the
 super trend as well next let’s go okay guys  this is the super trend indicator click on indicators search for super trend and in the  technicals click on super trend okay yes there is a strategy but the whole point of this video is to  show you how to convert any indicator into a strategy okay click on super trend and then you  will see pretty much the same you see the same as, right? So when would you buy and when would you sell?  You have to always ask yourself that question before creating the strategy.
 So I want to buy when it’s green and I want to sell when it’s red, okay?  Like very simple, right?  And so I don’t know yet how to tell it to GPT.  We’ll figure this out.  But that’s what I would do here, right?  So yeah, there will be a lot of fake trades as you can see here so buying here selling here so here you lose money right here you almost like  you lose a little bit of money here right so you will see guys so first of all like always we go to  the source code and we copy the whole source code and we go to our prompt we delete the previous
 code that we had we put the new code we copied the whole prompt and we started  new conversation in gpt make sure again 01 preview not anyone else any other version it wouldn’t work  okay click enter and let’s wait for the first result of course like i said we have to still  tell it when to buy and when to sell but let’s see maybe it does it correctly in the first try  maybe it does it correctly in the first try okay after 43 seconds we get our first version and let’s see how that performs on the chart copy the code right and go here click on create
 working copy delete everything put the new code click save click save again and no coding oh  coding errors perfect because well we wanted to have this issue  right so that i can show you how to fix it so you just copy this error right you copy this error  right and you make sure to tell it that it’s in line 26 okay so let’s go back and say in line 26  we have have this error right put it there click enter and now it will fix it  hopefully let’s see what i’ve also seen often is that when i start a chat and goes in the wrong
 direction and i can’t make it work then it’s simply better to just start a completely new chat  from the scratch the same prompt okay and then it will result into something useful.  That’s crazy, but that’s what it is, right?  So sometimes it just goes the wrong direction  and it will never come back to do the right thing.
 But hey, that’s fine.  Again, it’s very easy to do that, right?  So when you do this, right?  A couple of times you get errors, errors, errors.  You never get out of the errors,  then just start a new chat, okay?  So I have a new code.  I put it here, save.  Seems to work, great.
 Click on add to chat right as always we’re gonna get a back test and the back test yeah it’s  pretty bad but let’s first see if the indicator right the coloring is correct okay so you always  have to do that right so by the way let’s close this and just close and open the indicator and see if they  have done if the basically gpt has found the right trend and is doing the right thing as you can see  it’s a bit funny because it’s actually buying when the trend is red and it’s selling when the  trend is green so well that’s stupid right has to do exactly the opposite so i go back to chat gpt  and i’m telling it to switch around the buying and selling.
 As you can see, the sentence is,  okay, but now buy when the trend is green and sell when the trend is red.  Exactly the opposite of what you were doing.  And let’s see what happens.  Okay, guys, after 31 seconds, we have a new code.  Let’s copy it here.  And let’s make sure we’re editing the right indicator,  the right strategy, actually.
 Click on this and let’s make sure we’re editing the right indicator the right strategy actually click on this and let’s copy well not copy but delete everything put the new code click save  and let’s see if now it is doing the right thing let’s see the strategy tester so now it makes  money so that’s already way better than before right and let’s zoom in and see if it makes does  the right thing when we look with our own eyes, right?  So it’s green, it’s buying, it’s red, it’s selling, green is buying, red is selling.
 Looks great, right?  So let’s look at the result again.  We have a drawdown of 47.  You know all of that from the previous video.  But let’s also check if it has the same profit as my version, right?  Okay, so that was the super trend strategy.  This is my super trend strategy. This is my super trend  strategy.
 As you can see, the results are exactly the same, guys, right? So now you have seen all  the cases that can happen, right? We had a coding error. We just told it in which line is it? Tell  it the line. Otherwise, it’s a bit confused. And it fixed it itself. Then also we told it when to  buy, when to sell sell and it did that as  well now if you are super cool right because that’s very easy right to convert indicators  into strategies you can say you want multiple indicators right to be combined into a strategy  but that is a bit more advanced and I might make a video if I get enough likes on this video if I
 get above 100 likes I will make that video as well guys you see  guys it is very easy to do if you’re using this method we went through all of the issues that you  can have there are not so many because it’s actually a very easy method right the only thing  you need to do is you have to have a subscription for the chat gpt version that i mentioned but once  you have that you are fully free to create any kind of strategy from an indicator that you want.
 Gone are the times where you have to ask me to create a strategy from an indicator.  Now you can do it yourself and more, guys, right?  You can go bananas with this, right?  You can create your own strategies.  And by the way, once you have a strategy and you want to fully automate it, then head over to signal.money.
 it, then head over to signum.money. As you know, this is my software for automating any trading strategy whatsoever without having to put anything special in the code. You just create the strategy  normally and then you can automate it with Signum to buy and sell for you fully automatically  on your exchange. I do that. You can do the same. It’s very easy.