What is AutoWealth AI?
AutoWealth AI is an open-source, multi-agent investment analysis engine built entirely in Python. It uses three specialized AI agents that analyze stocks from different perspectives, then combines their signals through a weighted voting mechanism.
GitHub Repository | 482 tests passing | 11 major features
The Core Architecture
Three AI Agents Working Together
Technical Analyst Agent (35% weight) - Analyzes price action using 12+ technical indicators: MACD, RSI, Bollinger Bands, KDJ, OBV, ATR, DMI, CCI, Williams %R, PSY, and moving average systems.
Fundamental Analyst Agent (35% weight) - Evaluates valuation metrics including P/E ratio, P/B ratio, dividend yield, and growth trends.
Sentiment Analyst Agent (30% weight) - Assesses market sentiment through price momentum, volume patterns, and volatility analysis.
Weighted Voting Decision System
Each agent produces a signal (BUY/SELL/HOLD) with a confidence score. The coordinator aggregates these using configurable weights to produce a final investment decision with target price and stop-loss recommendations.
Key Features
- Extended Technical Indicators: OBV, ATR, DMI, CCI, Williams %R, PSY
- Multi-Data Source Support: Yahoo Finance, East Money (akshare), Binance API
- Machine Learning Prediction: Random Forest + MLP Neural Network, 18-dimensional feature engineering
- Backtesting System: Strategy backtesting with performance metrics (Sharpe ratio, max drawdown, win rate)
- Portfolio Optimization: Markowitz mean-variance optimization, efficient frontier
- Real-Time Alert System: 5 alert types, multi-channel notifications (DingTalk, Feishu, Slack)
- Social Sentiment Analysis: Twitter/X, Weibo, Reddit, 360+ sentiment words
- FastAPI Web Service: 7 RESTful endpoints with Pydantic models
- Chinese NLP Interface: Intent recognition, entity extraction, 80+ stock name mappings
- Flutter Mobile App: Cross-platform iOS + Android, dark sci-fi theme
Tech Stack
| Component | Technology |
|---|---|
| Core Engine | Python 3.10+ |
| Data Sources | yfinance, akshare, Binance API |
| ML Models | scikit-learn |
| Web UI | Streamlit + Plotly |
| API | FastAPI + Pydantic |
| Mobile | Flutter + fl_chart |
| Testing | pytest (482 tests) |
Quick Start
ngit clone https://github.com/Jsoned/autowealth-ai.git
cd autowealth-ai
pip install -r requirements.txt
streamlit run examples/app.py
Project Stats
- 482 tests all passing
- 11 major features fully implemented
- 12+ technical indicators
- 3 data sources
- 7 REST API endpoints
AutoWealth AI is designed for educational and research purposes. It is not financial advice.
If you find this project useful, please give it a star on GitHub!
