The latest articles on DEV Community by Jsoned (@jsoned). https://dev.to/jsoned https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3968966%2Fbac34fb1-8093-49d6-b9ed-1e67d883c4e2.png https://dev.to/jsoned en Jsoned Fri, 05 Jun 2026 01:50:20 +0000 https://dev.to/jsoned/autowealth-ai-an-open-source-multi-agent-investment-analysis-engine-5ge8 https://dev.to/jsoned/autowealth-ai-an-open-source-multi-agent-investment-analysis-engine-5ge8 <h2> What is AutoWealth AI? </h2> <p><strong>AutoWealth AI</strong> 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.</p> <p><a href="https://github.com/Jsoned/autowealth-ai" rel="noopener noreferrer">GitHub Repository</a> | 482 tests passing | 11 major features</p> <h2> The Core Architecture </h2> <h3> Three AI Agents Working Together </h3> <ol> <li><p><strong>Technical Analyst Agent (35% weight)</strong> - Analyzes price action using 12+ technical indicators: MACD, RSI, Bollinger Bands, KDJ, OBV, ATR, DMI, CCI, Williams %R, PSY, and moving average systems.</p></li> <li><p><strong>Fundamental Analyst Agent (35% weight)</strong> - Evaluates valuation metrics including P/E ratio, P/B ratio, dividend yield, and growth trends.</p></li> <li><p><strong>Sentiment Analyst Agent (30% weight)</strong> - Assesses market sentiment through price momentum, volume patterns, and volatility analysis.</p></li> </ol> <h3> Weighted Voting Decision System </h3> <p>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.</p> <h2> Key Features </h2> <ul> <li> <strong>Extended Technical Indicators</strong>: OBV, ATR, DMI, CCI, Williams %R, PSY</li> <li> <strong>Multi-Data Source Support</strong>: Yahoo Finance, East Money (akshare), Binance API</li> <li> <strong>Machine Learning Prediction</strong>: Random Forest + MLP Neural Network, 18-dimensional feature engineering</li> <li> <strong>Backtesting System</strong>: Strategy backtesting with performance metrics (Sharpe ratio, max drawdown, win rate)</li> <li> <strong>Portfolio Optimization</strong>: Markowitz mean-variance optimization, efficient frontier</li> <li> <strong>Real-Time Alert System</strong>: 5 alert types, multi-channel notifications (DingTalk, Feishu, Slack)</li> <li> <strong>Social Sentiment Analysis</strong>: Twitter/X, Weibo, Reddit, 360+ sentiment words</li> <li> <strong>FastAPI Web Service</strong>: 7 RESTful endpoints with Pydantic models</li> <li> <strong>Chinese NLP Interface</strong>: Intent recognition, entity extraction, 80+ stock name mappings</li> <li> <strong>Flutter Mobile App</strong>: Cross-platform iOS + Android, dark sci-fi theme</li> </ul> <h2> Tech Stack </h2> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Component</th> <th>Technology</th> </tr> </thead> <tbody> <tr> <td>Core Engine</td> <td>Python 3.10+</td> </tr> <tr> <td>Data Sources</td> <td>yfinance, akshare, Binance API</td> </tr> <tr> <td>ML Models</td> <td>scikit-learn</td> </tr> <tr> <td>Web UI</td> <td>Streamlit + Plotly</td> </tr> <tr> <td>API</td> <td>FastAPI + Pydantic</td> </tr> <tr> <td>Mobile</td> <td>Flutter + fl_chart</td> </tr> <tr> <td>Testing</td> <td>pytest (482 tests)</td> </tr> </tbody> </table></div> <h2> Quick Start </h2> <p><code>ngit clone https://github.com/Jsoned/autowealth-ai.git<br> cd autowealth-ai<br> pip install -r requirements.txt<br> streamlit run examples/app.py<br> </code></p> <h2> Project Stats </h2> <ul> <li>482 tests all passing</li> <li>11 major features fully implemented</li> <li>12+ technical indicators</li> <li>3 data sources</li> <li>7 REST API endpoints</li> </ul> <p><strong>AutoWealth AI</strong> is designed for educational and research purposes. It is not financial advice.</p> <p>If you find this project useful, please give it a star on <a href="https://github.com/Jsoned/autowealth-ai" rel="noopener noreferrer">GitHub</a>!</p> python ai finance opensource