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ML-Finance: Python

  • Calculate technical indicators from historical stock data
  • Create features and targets out of the historical stock data.
  • Prepare features for linear models, xgboost models, and neural network models.
  • Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets.
  • Evaluate performance of the models in order to optimize them
  • Get predictions with enough accuracy to make a stock trading strategy profitable.