pskrunner14/trading-bot
Stock Trading Bot using Deep Q-Learning
Implements multiple DQN variants (vanilla, fixed target distribution, Double DQN) with a model-free approach that observes n-day price windows, executes buy/sell/hold actions, and updates network parameters via experience replay. Trained on historical Yahoo Finance data, the agent learns optimal trading policies by maximizing portfolio rewards over sequential episodes. Uses CPU-based training due to sequential nature and includes evaluation scripts with portfolio visualization.
1,144 stars. No commits in the last 6 months.
Stars
1,144
Forks
357
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 03, 2023
Commits (30d)
0
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