ai_quant_trade: Master AI‑Driven Stock Trading from Theory to Live Execution
From the repo · “股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易”
Ai_quant_trade is a one-stop platform for learning, simulating, and executing stock trading strategies using AI, including traditional strategies, machine learning, and deep learning.
- •When you need to automate stock trading decisions with data-driven insights
- •When you want to experiment with different trading strategies and models
- •When you need to deploy and execute trading strategies in a production-ready environment
Run the `traditional_strategy.ipynb` example with a specific stock symbol: `python traditional_strategy.py --stock-symbol AAPL`
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/ai-quant-trade && curl -fsSL https://workflowstacks.com/api/skills/ai-quant-trade/claude-skill -o ~/.claude/skills/ai-quant-trade/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Ai_quant_trade: Master AI‑Driven Stock Trading from Theory to Live Execution is a large Jupyter Notebook project (~29k lines across 172 code files, plus 14 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2requirements.txtDependencies and the commands it exposes
- 3egs_skill/broker-research-analyst/README.mdInside egs_skill/ — an example of what the AI is told to do
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/ai-quant-trade && curl -fsSL https://workflowstacks.com/api/skills/ai-quant-trade/claude-skill -o ~/.claude/skills/ai-quant-trade/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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