VARRD — Statistically Validated Trading Edges + AI Research Engine
Validated trading edges across futures, equities, crypto. Live signals, full audit trail.
| Endpoint | https://app.varrd.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.5 |
| Now | 9 tools · grade C (77) · pin ts_bf191eef4c470dffa1727d6ec217eb19 · protocol 2025-06-18 |
| First / last listed | 2026-11-08 03:26 UTC / 2026-11-08 03:26 UTC |
| Grade over time | 2026-11-08: C (77), 9 tools |
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Tools: varrd_edges varrd_ai search get_hypothesis check_balance buy_credits reset_session autonomous_varrd_ai get_briefed
varrd_edges | THE 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 account — running 24/7 against real market data. See which of YOUR edges are firing right now, get trade levels, or audit the full methodology. Scoped to the connected account: if the user has no edges yet, this returns none (it is NOT a gener params: depth, edge_id, market, status, direction, timeframe, asset_class, section |
varrd_ai | Talk 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 pattern, running statistical tests, backtesting with stops, and generating exact trade setups.
MULTI-TURN: First call creates a session. Keep calling with the same session_id, following context.next_actions each time.
1. Your idea -> VARRD params: message*, session_id |
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. params: query*, market, limit |
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. params: hypothesis_id* |
check_balance | Check your credit balance and see available credit packs. Free — no credits consumed. Also auto-detects completed payments — call this after your user pays via a checkout link to confirm credits were added. If payment went through, the response includes recovered_cents. params: none |
buy_credits | Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this.
TWO PAYMENT METHODS:
card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added.
crypto: USDC on Base. Fully autonomous — no human needed. Three steps:
1. buy_credits(payment_method='crypto') → re params: amount_cents, payment_method, payment_intent_id |
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. params: session_id* |
autonomous_varrd_ai | Point 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 knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked.
BEST FOR: Exploring a space broadly. Give it 'momentum on grains' params: topic*, markets, test_type, search_mode, asset_classes, context |
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').
Req params: none |
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