Research notes, technical deep-dives, and building logs.
Describe any investment thesis in plain language. FactorLab writes the code, runs a three-period backtest across multiple holding horizons, iterates with AI self-evaluation, and returns a full research report — no code required.
We gave four AI agents their own countries and a shared chokepoint. No script, no payoff matrix — just emergent game theory, streamed in real time. A weekend project that got out of hand. Open source.
Most AI stock analysis is a confident summary with made-up numbers. Stock Analyzer is a 7-module pipeline where a bear agent attacks the bull case, Python does the math, and every conclusion traces back to real data.
The architecture decisions, mistakes, and lessons learned from building an AI-native quantitative platform with OpenClaw and MCP protocol.