A random forest-based leaner written in native Python is developed to automatically make trading decisions based on historical data processed using Pandas. The effect of impact on learner strategy is studied. Github Repo is private. Please contact me for if you are interested in a demo.
Machine learning helps traders make better decisions in the stock market by using computer programs that learn from past data. It’s like having a smart assistant that analyzes lots of information to find patterns and make predictions about what might happen next in the market.