#Machine-learning-for-trading
Showing 9 of 9 repositories tagged #machine-learning-for-trading, ranked by stars
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Udacity - Machine Learning for Trading
Market data acquisition, storage, and update workflows for machine learning for trading.
Signal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.
Event-driven backtesting engine with realistic execution, portfolio, and risk modeling.
In this project, I have tried to predict the stock price of Microsoft using LSTM
Feature engineering, labeling, alternative bars, and leakage-safe datasets for financial ML.
This project develops and fine-tunes a TimeSeriesTransformer model to forecast EURUSD 5-minute closing prices, serving as a modern counterpart to a baseline LSTM model
Live trading runtime for ML4T strategies with broker integrations, risk checks, and shadow mode.