Using Genetic Algorithm for improving algo trading results in Python
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- Опубликовано: 7 окт 2024
- In this video, I will take the algo trading strategy from my previous video and improve its parameters using the genetic algorithm, which Jesse's optimization mode uses.
I will also show you the before and after results.
I'm new to coding but this speaks to me in a way like never before.. I'm just a truck driver that trades on the side with dreams you make me want to learn and create
Hey man, I'm happy to hear that I inspired you. Best of luck, and keep at it.
We also have a custom GPT for converting and helping you with writing strategies for Jesse's syntax, which might be helpful to you.
chatgpt.com/g/g-jLthDATir-jesse-algotrading-cryptocurrencies-in-python
Huge fan brother, please don't stop what you're doing. This is hands down the best framework on the market right now and ur absolutely killing it
Thank you for your super supportive comment. It gave me energy.
@@saleh.m been using it for over a year now, and you were always so supportive and understand as I am a student, you helped me out with such care and professionalism, so for that I am grateful as well 🙏
Really awesome content! Thank you, Saleh!
These videos keep getting better and better
Thanks man, you just made my day
Wow, this is amazing! I used to think optimization was challenging until I watched your video.
Thank you, I'm glad it was helpful
Hey, I really like these videos. I hope that after the "getting started" stuff (important), you can discuss some advanced topics (combining different strategies, maybe a gridbot example as it is popular on platforms). Introducing indicators and giving your perspective on them from an algo-trading side seems also very interesting to me.
Great suggestions. Thank you for future video ideas. I appreciate your feedback.
Very helpful insight into the optimization mode! Thanks!
You're very welcome and thank you for your nice comment.
this is really great content!
Thanks, mate
Well done!
Thank you for your support
Looking forward to the next one
Thank you, me too.
amazing content
Thanks, man. I'm glad you liked it.
Lost track for a while. But with these last videos complete back into search for a profitable stable strategy.
I'm so glad to hear that because that's exactly my goal here to help you guys get more active.
This part of app need a video. thanks for it
Thanks, mate
Didn't realize that you could use float in hyperparameters now, is there a step size? or default to 0.1
No, there is no step size built-in. However, you can use a trick to accomplish that.
In your code, instead of simply using a float value, you can use an integer value and multiply it by a (step) float value.
I hope it makes sense.
👏🏼👏🏼😍 Salivan
Thanks bro ❤
@@saleh.m 🤘🏼❤️
Saleh is the g.o.a.t.
thank you 🫣