stock

[1095744686]

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[Leci37]

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I am developer something more complementary and full

• testing with 30+- models powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.
• threshold evaluation
• use 1k technical indicators
• method of best feature selection (8, 16, 32..) nice nice
• categorical target instead of continuous target variable

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

https://github.com/Leci37/LecTrade/tree/develop

[Leci37]

If you have problems with installation, let me know. I am searching collaborators for this project. If you have experience and want to collaborate text me on email or github Issues

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