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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}
prompts
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
researchA

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.

scanA

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.

searchA

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_hypothesisA

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_balanceA

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_creditsA

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.

reset_sessionA

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_researchA

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_briefedA

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.

Prompts

Interactive templates invoked by user choice

NameDescription
test-trading-ideaTest any trading idea with real market data and get statistically validated results. Describe your idea in plain language — VARRD handles the data, charting, and statistical testing.
whats-firing-nowScan all your validated strategies against live market data. Returns exact dollar entry, stop-loss, and take-profit prices for every active signal.
discover-edgesLet VARRD's autonomous engine discover trading edges for you. Give it a topic and it generates creative hypotheses, tests them with real data, and returns validated results.
find-strategiesSearch your library of validated trading strategies by keyword or concept. Returns matching strategies ranked by relevance with performance stats.
get-startedNew to VARRD? Run this first. Kicks off a live autonomous research session on ES futures so you can watch the full pipeline — hypothesis generation, charting, statistical testing, edge verdict — without needing your own idea. Takes 2-3 minutes.

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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