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TaroYamada08/machine-learning-for-trading

This book aims to show how ML can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions.

语言:Jupyter Notebook · GitHub 星标:140 · Fork:13

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