new complementary tool
Leci37 opened this issue · 0 comments
Leci37 commented
I want to offer a new point of view, and my colaboraty
Why this stock prediction project ?
Things this project offers that I did not find in other free projects, are:
- Testing with +-30 models. Multiple combinations features and multiple selections of models (TensorFlow , XGBoost and Sklearn )
- Threshold and quality models evaluation
- Use 1k technical indicators
- Method of best features selection (technical indicators)
- Categorical target (do buy, do sell and do nothing) simple and dynamic, instead of continuous target variable
- Powerful open-market-real-time evaluation system
- Versatile integration with: Twitter, Telegram and Mail
- Train Machine Learning model with Fresh today stock data
https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram/tree/develop