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Explorer/MCP/augiemazza/varrd
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Varrd

augiemazza/varrd

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.

9 tools available
The Journeyman
A reasonable amount of history and nothing concerning in the scan.
Time indexed (6mo)
9toolsRemote/ HTTP6moindexed
100% uptime · 337ms avgChecked Aug 15, 2026
Quality Score
59/95
Established
Risk Score
0/100
Clean
How is this calculated?
Quality Breakdown
Tenure14/20
168 days indexed
Capability17.1/25
Tools: 5.1/13 (9 tools)
Description: 5/5
Endpoint: 7/7
Adoption2.8/25
Use count: 2.8/20 (4 uses)
Multi-registry: 0/5 (1 registry)
Reliability25/25
Currently live: 10/10
Uptime history: 15/15 100% (61/61 checks)
Security scan: 0 pts in v1.0; ready to weight when coverage improves
Risk
0Clean
No signals detected.
The scanner shows
9 tools. Registry verified. Nothing caught our attention.
First indexed Mar 1, 2026
Server Profile
Tools catalogued
9
9 tools available. Full list below.
Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
Registry presence
Verified
Listed on the Official MCP Registry under Linux Foundation governance.
Liveness
100%
Based on 48 checks. Average response: 337ms.
Publisher Verification
✓ Listed on the Official MCP Registry under Linux Foundation governance.
Endpoint
https://varrd--augiemazza.run.tools
Tools (9)
research
Talk to VARRD AI — a quant research system with 15 internal tools. Describe any trading idea in plain language, or ask for specific capabilities like the ELROND expert council, backtesting, or stop-loss optimization. MULTI-TURN: First call creates a session. Keep calling with the same session_id, following context.next_actions each time. 1. Your idea -> VARRD charts pattern 2. 'test it' -> statistical test (event study or backtest) 3. 'show me the trade setup' -> exact entry/stop/target prices HYPOTHESIS INTEGRITY (critical): VARRD tests ONE hypothesis at a time — one formula, one setup. Never combine multiple setups into one formula or ask to 'test all' — each idea must be tested as a separate hypothesis for the statistics to be valid. Say 'start a new hypothesis' between ideas to reset cleanly. - ALLOWED: Test the SAME setup across multiple markets ('test this on ES, NQ, and CL') — same formula, different data. - NOT ALLOWED: Test multiple DIFFERENT formulas/setups at once — each is a separate hypothesis requiring its own chart-test-result cycle. If ELROND council returns 4 setups, test each one separately: chart setup 1 -> test -> results -> 'start new hypothesis' -> chart setup 2 -> etc. KEY CAPABILITIES you can ask for: - 'Use the ELROND council on [market]' -> 8 expert investigators - 'Optimize the stop loss and take profit' -> SL/TP grid search - 'Test this on ES, NQ, and CL' -> multi-market testing - 'Simulate trading this with 1.5 ATR stop' -> backtest with stops EDGE VERDICTS in context.edge_verdict after testing: - STRONG EDGE: Significant vs zero AND vs market baseline - MARGINAL: Significant vs zero only (beats nothing, but real signal) - PINNED: Significant vs market only (flat returns but different from market) - NO EDGE: Neither significant test passed TERMINAL STATES: Stop when context.has_edge is true (edge found) or false (no edge — valid result). Always read context.next_actions.
scan
Scan your saved strategies against current market data to see what's firing right now. Returns exact dollar entry, stop-loss, and take-profit prices for every active signal. Not a vague directional call — exact trade levels based on the validated statistical model.
search
Search your saved hypotheses by keyword or natural language query. Returns matching strategies ranked by relevance, with key stats (win rate, Sharpe, edge status). Use this to find strategies you've already validated.
get_hypothesis
Get full detail for a specific hypothesis/strategy. Returns formula, entry/exit rules, direction, performance metrics (win rate, Sharpe, profit factor, max drawdown), version history, and trade levels. Everything an agent needs to understand and act on a strategy.
check_balance
Check your credit balance and see available credit packs. Free — no credits consumed. Call this before heavy operations to ensure you have sufficient credits.
buy_credits
Buy credits with USDC on Base. Two modes: 1. Call without payment_intent_id to get a Stripe deposit address. 2. Send USDC to that address, then call again with the payment_intent_id to confirm and receive credits. Default $5. Free — no credits consumed to call this.
Show all 9 tools ↓
reset_session
Kill 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 resetting, call research without a session_id to start a new clean session.
autonomous_research
Launch VARRD's autonomous research engine to discover and test a trading edge. Give it a topic and it handles everything: generates a creative hypothesis using its concept knowledge base, loads data, charts the pattern, runs the statistical test, and gets the trade setup if an edge is found. BEST FOR: Exploring a space broadly. The autonomous engine excels at tangential idea generation — give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Great for running many hypotheses at scale. Returns a complete result — edge/no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline. Call again for another idea. Use 'research' instead when YOU have a specific idea to test and want full control over each step.
get_briefed
Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.

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