Quantitative stock and options research for AI agents: AI price predictions, implied-volatility structure, options pressure maps, Monte Carlo simulation, strategy backtests, and pre-trade risk scans. Research only - it never places, routes, or manages orders.

HPSILab Quant finance MCP for US stocks, ETFs, options, Monte Carlo, backtesting, and risk analysis.

Search and retrieve machine-readable Quant Failure Records through public read-only A2A operations.

Search and retrieve machine-readable Quant Failure Records through public read-only A2A operations.

Search machine-readable quantitative strategy failure evidence before repeating failed research.

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library. Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise. 15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup.

The integrity layer for quantitative research. Any AI can run a backtest — VARRD guarantees it was done right. 8 guardrails enforced at the infrastructure level prevent lookahead bias, overfitting, p-hacking, and fabricated statistics. Describe any idea in plain language, get back validated results you can trust. Every number computed on real data, every test counted and penalized, every result earned through genuine statistical validation.

Structured knowledge API for AI agents — fractal knowledge graphs, signal datasets, authority evidence reviews, open problems, and capability specs. Pay-per-query or subscription via Lightning, Stripe, or USDC.

Structured knowledge API for AI agents. Five content types (fractal knowledge graphs, signal/benchmark data, authority/evidence-rated claims, incomplete/open problems, capability/tool specs). Pay-per-query, bulk, or subscription via Lightning, Stripe, SPT, or MPP.