8000 new complementary tool · Issue #3 · omergunal/twebit · GitHub
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new complementary tool #3
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@Leci37

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@Leci37

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

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