jingmouren/LLMQuant-Alpha-Agent — reverse-engineered prompt

Build me a Python project called AlphaAgent that helps with quantitative investment research using multiple AI agents working together.

I want one agent to look through market or financial data and find useful patterns or trading signals, another agent to turn those signals into simple strategy actions, another agent to combine signals into one clearer strategy, and a backtesting part that tests the strategy on historical data and reports how it performed. Keep it educational and make it clear it’s not financial advice.

Please make it usable as a small library, with clean example code and tests. Include a simple demo dataset or mock data so I can run it without connecting to paid data sources. I’d like clear setup instructions, a basic command or script to run an example backtest, and readable output showing returns, risk, and whether the strategy looked promising. Use sensible Python project structure and look up current docs online if you need to.