I asked ChatGPT for a WINNING TRADING Strategy - and BACKTESTED it in Python.
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- Опубликовано: 3 май 2024
- In this video I am going over a Trading recommendation from Chat-GPT when asking it to provide me an Algorithmic Trading Strategy. I am going over coding it in Python and we are also taking a look at the results to see if the recommended trading strategy was feasible.
The strategy in a nutshell is a RSI / Bollinger Band mean-reversion strategy on Bitcoin and the 1-hour timeframe.
Let me know if you find topics like that interesting by leaving a like, a comment and subscribing. Thx a lot!
Check out my website here:
www.pythonforfinance.info
Get the Notebook/Source code by becoming a Tier-3 Channel member:
/ @algovibes
Binance API docs:
binance-docs.github.io/apidoc...
Disclaimer: This video is not an investment advice and is for informational and educational purposes only.
00:00 - 01:32 ChatGPTs recommendation and Disclaimer
01:32 - 08:07 Data, Data manipulation and prepration
08:07 - 14:14 Iterative backtest (Absolute capital approach)
14:14 - 17:04 Results / Benchmark - Наука
Thanks for the video, as always good content. Keep up the good work.
Thank you my friend!
Great video as usual. Thanks
Thank you mate! :-)
Great video!
Thanks mate! Appreciate you leaving a comment :-)
nice thanks brother you are starting to use chatgpt already. The difficult strategy when goes live where you are in the position already and yet you cannot exit because of the take profit variable you are working towards. If we can build a strategy where a machine learning can say, "You are waiting too long, you are actually in a winning position and no need to wait for the take profit percentage, just exit" It's gonna be awesome if like this kind of strategy.
Thanks my man for leaving a comment. Yes you could work with an exposure time here and exit when you made a certain profit threshold for sure.
@Algovibes what I am trying to achieve is like this
# more gains/profit
while True:
clear_output()
dfP24 = getdata(top_coin,'3m',"4 hr ago") # live
dfP24['rsi'] = calculate_rsi(dfP24, column_name='Close', period=14)
rsi = dfP24.iloc[-1:].rsi.values[0]
if rsi
Is this on Jupyter Notebook?? Which environment are you using?
Yes this is on Jupyter Notebook :-)
thank you algovibes, but this code is repainting the before signal???, because i did and not the same results...
Welcome mate. Sorry can you elaborate?
What comes with the monthly deal???
Can you elaborate? What do you mean with monthly deal?
love it - please do get on the nerves of ChatGPT :)) !
😁 thanks buddy
Great thank you, try forex please
Interesting one indeed. Thanks for the suggestion!
Can you share your code?
Sure, be invite to become a Tier-3 channel member. Just drop me a mail and I will add you to the drive. Cheers!
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