TheoryCraft Trading is an AI-assisted quantitative research lab for traders and investors who want to test market ideas before risking capital.

Instead of jumping from intuition to execution, TheoryCraft helps users turn a trading hypothesis into a reproducible research workflow. The platform is centered around an integrated Jupyter Notebook where users can explore market data, write analysis code, run backtests, visualize results, and iterate on strategy ideas.

The AI agent acts as a quantitative research copilot. It can help formalize an idea, write and modify notebooks, generate research or backtesting code, control parts of the platform, and interpret results with the user. The current datafeed is Dukascopy, making it possible to work with historical market data for research and backtesting.

TheoryCraft is not positioned as a magic trading bot, signal provider, broker, or guaranteed-profit system. The goal is research-first: help traders move from “I think this setup works” to "I tested it, measured it, and understand its limits."

Built for: traders, quants, systematic investors, developers, and builders who prefer evidence, reproducibility, and transparent research workflows over black-box trading claims.