io.github.augiemazza/varrd
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Publisher-provided title
VARRD — Statistically Validated Trading Edges + AI Research Engine
Publisher-provided description
Validated trading edges across futures, equities, crypto. Live signals, full audit trail.
Summary by lookupd
Lets an agent query validated trading edges, run AI-driven market research, search saved strategies, and get personalized market news…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http varrd https://app.varrd.com/mcp
Codex, remote (streamable-http)
codex mcp add varrd --url https://app.varrd.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"varrd": {
"url": "https://app.varrd.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (9 tools)
Publisher-provided text
varrd_edgesTHE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of THIS USER'S OWN statistically validated trading edges — the ones on their accvarrd_aiTalk to VARRD AI (~$0.25/turn). Describe any trading idea in plain language and the system handles everything — loading decades of market data, charting your pasearchSearch your saved hypotheses by keyword or natural language query. Returns matching strategies ranked by relevance, with key stats (win rate, Sharpe, edge statuget_hypothesisGet full detail for a specific hypothesis/strategy. Returns formula, entry/exit rules, direction, performance metrics (win rate, Sharpe, profit factor, max drawcheck_balanceCheck your credit balance and see available credit packs. Free — no credits consumed. Also auto-detects completed payments — call this after your user pays viabuy_creditsBuy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns areset_sessionKill a broken research session and start fresh. Use this when a session gets stuck, produces errors, or enters a bad state. Free — no credits consumed. After reautonomous_varrd_aiPoint VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure kget_briefedGet a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you
Details
- Version: 1.0.5
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 349 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/augiemazza/varrd
- Website: https://www.varrd.com
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