Deterministic stock screening, backtesting, and factor analysis for AI trading agents
QuantContext is an MCP server that turns plain-English strategy descriptions into executable quant research: screen stocks by any criteria, backtest over historical data, and run factor analysis to see where the returns come from. Every number is computed from real market data, not generated by an LLM. Results are fully reproducible. Works with Claude, Codex, OpenCode, or any other MCP-compatible…
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QuantContext is an MCP server that turns plain-English strategy descriptions into executable quant research: screen stocks by any criteria, backtest over historical data, and run factor analysis to see where the returns come from. Every number is computed from real market data, not generated by an LLM. Results are fully reproducible. Works with Claude, Codex, OpenCode, or any other MCP-compatible coding agent. No API keys. No configuration. Three tools that compose into a full research…
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