Local loop-based research and backtesting trading agent for beginners
TradingSpy is a local trading agent that uses a loop-based approach for research and backtesting. It helps beginners run trading experiments on their own laptop without needing cloud infrastructure.
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Free backtesting tool that detects luck-based trading strategies
Verax is a free backtesting tool that stress-tests trading strategies across multiple market regimes, performs parameter sensitivity analysis, and provides honest verdicts on whether a strategy outperforms buy-and-hold. It includes a bar-replay game where users paper trade historical data and compare results to holding. The tool uses LLMs to generate natural-language explanations of strategy performance and market pulse signals.
Personal AI trading research agent for A-share, US, HK stocks
Vibe-Research is an open-source personal AI trading research agent that supports A-share, US, and HK stock markets. It uses LLMs to power daily market reviews, news radar, individual stock data, sector analysis, portfolio tracking, and research notes, helping individual investors automate their investment research.
AI agent for simulated stock trading with fake money via MCP
A concept for a platform where users create a simulated stock portfolio with fake money, then connect an AI agent (Claude, Codex, etc.) through MCP to research and place trades. It helps people learn to direct and supervise AI trading agents without risking real money.
Open-source agent that forecasts station temperatures and trades them
OpenThomas is an open-source agent that forecasts weather station temperatures and automatically trades on prediction markets based on those forecasts. It uses LLMs to analyze weather data and execute trades, helping prediction market traders automate weather-based strategies.
AI Market Pulse: Turn any watchlist into daily AI market research reports
AI Market Pulse is an open-source tool that transforms any stock watchlist into daily AI-generated market research reports. It uses LLMs to screen watchlists, assess portfolio risk, and produce automated reports with static publishing, serving quant traders and investors who want zero-code daily insights.