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.