VARRD
AI trading research with event studies, backtesting, and statistical validation across stocks, futures, and crypto.
Provides institutional-grade trading edge discovery. Turns natural language trading ideas into statistically validated results with exact trade levels, including entry, stop loss, and take profit. Covers over 15,000 instruments across futures, stocks, ETFs, and crypto with built-in anti-overfitting guardrails, multiple comparison correction, and out-of-sample testing.
Connection
- streamable_http · auth: open · free_tier —
https://app.varrd.com/mcp
Source
Repository: https://github.com/augiemazza/varrd
Maintain VARRD?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/mcp/augiemazza-varrd?ref=badge) npx agentictools info mcp/augiemazza-varrd The second line is the CLI lookup for this page — handy in READMEs and docs.
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