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5 Painful Mistakes I Made Creating a Machine Learning Trading Bot with Python and Chat GPT, So You Don’t Need To
Creating a machine learning trading bot can be an exciting and profitable venture. With the promise of increased efficiency and the potential for higher returns, it’s no wonder that many traders and investors are turning to this technology. However, as with any new undertaking, there are bound to be mistakes along the way.
As someone who has gone through the process of creating an ML trading bot, I can attest to the fact that it is not without its pitfalls. In this article, I will share with you five painful mistakes I made when creating my own ML trading bot so that you can avoid them.
Mistake #1: Focusing too much on technical analysis
When I first started creating my ML trading bot, I focused too much on technical analysis. I spent hours poring over charts and trying to identify patterns that could be used to make profitable trades. While technical analysis is certainly important, it is only one piece of the puzzle. In order to create a successful ML trading bot, you need to take into account a wide range of factors, including market trends, news events, and economic indicators.
