💸Agent-based stock analysis and investment strategy 🔷Microsoft Agent Framework vs.🎰AutoGen

qlib application with a UI, easily to understand for newer

QuantContext is an MCP server that gives AI agents real quant computation for better trading: stock screening, strategy backtesting, and factor analysis.

OBaI is an open-source agentic quant platform stock research, strategy analysis, and backtesting.

Quant Bot AI is a reinforcement learning-based trading system built in Python, designed to train and evaluate agents on real historical stock market data. It is modular, extensible, and ready for deployment in research and live trading scenarios.

QuantSight is a research-grade, agentic AI system that uses a modular multi-agent architecture to collect market data and financial news, perform sentiment and technical analysis, and generate explainable, structured stock research notes for decision-support purposes (not trading advice).

Ultimate OpenClaw Agent: 30-day growth plan with PyTorch algorithms for stock quant, auto-programming, cybersecurity, self-evolution, and hardware integration

Production-ready Multi-Agent RL Trading System using PyTorch, Stable-Baselines3, Gymnasium & Streamlit. Simulates trading, trains PPO/A2C/DQN agents, tracks ROI, cash, trades, learns multi-stock policies. Ideal for quant prototyping, strategy research, and RL engineering demos!

A climate-aware, multi-agent quant trading system using alternative data. This project integrates fundamental macroeconomic variables and climate stress indicators to generate alpha in equity markets, using an XGBoost-based strategy on ADM stock. Includes data collection, feature engineering, signal generation, and full backtesting pipeline.

Agentic AI Quant Stock market analysis platform

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Quant Stock Predictor - Dual Model Trading Dashboard (LightGBM + Sentiment Agent)

Multi-agentic short-term stock screener — deterministic quant core with LLM overlay

Autonomous AI agent for Japanese stock market research (J-Quants, EDINET, Yahoo Finance)

Autonomous stock trading platform with AI agents, Python quant engine, and Next.js 16 dashboard

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📊 YFinance Agent: An intelligent financial analysis chat Agent that leverages of yfinance data provide deep insights into stock market data. This is Your Quant Intern Researcher

Multi-agent AI stock research system using LangGraph + DeepSeek. 11 collaborating agents (market data, news, sentiment, fundamentals, quant signals, grid trading strategies, Bull-vs-Bear debate, risk, advisory) generate explainable recommendations for A-shares and global stocks. Includes scheduled QQ email reports and Linux deployment.