pskrunner14/trading-bot resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1175 stars · 356 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A stock trading bot that uses Deep Q-Learning reinforcement learning to learn buy/sell/hold policies from historical stock price data. It is a simple, educational implementation of DQN variants (vanilla, fixed target, double DQN) intended for learning purposes.

Use cases

• learn deep q-learning by example
• train a reinforcement learning agent on stock data
• experiment with DQN variants on trading tasks
• backtest a simple trading strategy
• visualize RL agent trading episodes
• understand how RL applies to financial markets

When to choose

• you want a minimal, readable DQN implementation for learning
• you need a starting point for RL-based trading experiments
• you want to reproduce results from a DQN trading paper

When to avoid

• you need production-grade algorithmic trading with real broker integration
• you require portfolio optimization or position sizing
• you need reliable profit generation - results are educational only

Facets

learning-resource · maturity maintenance

machine-learning reinforcement-learning trading reinforcement-learning fintech machine-learning education python cli deep-q-learning trading-bot q-learning stock-trading educational jupyter-notebook

Member repositories

For agents

markdown · JSON · MCP: product_card(name="pskrunner14/trading-bot")