MCP 服务器

Varrd

From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f

README

VARRD — Trading Edge Discovery

Institutional-grade quant research. Describe any trading idea in plain English, get statistically validated results with exact trade levels.

Any AI can backtest a strategy. VARRD guarantees it was done right — with K-tracking, Bonferroni correction, OOS lock, lookahead detection, and 4 other integrity guardrails enforced at infrastructure level.

MCP Server — 7 Tools, 4 Prompts

Endpoint: https://app.varrd.com/mcp Transport: Streamable HTTP (2025-03-26 spec) Auth: Anonymous access with auto-provisioned credits. No API key required.

{
  "mcpServers": {
    "varrd": {
      "transport": {
        "type": "streamable-http",
        "url": "https://app.varrd.com/mcp"
      }
    }
  }
}

Works with Claude Desktop, Claude Code, Cursor, and any MCP-compatible client.

MCP Tools

Tool	Cost	What It Does
`research`	~$0.25	Multi-turn quant research with VARRD AI. Orchestrates 15 internal tools (data loaders, charting, event studies, backtests, optimization). Follow `context.next_actions` each turn.
`autonomous_research`	~$0.25	AI discovers edges for you. Give it a topic, it generates hypotheses from its market knowledge base, runs the full pipeline, returns validated results.
`scan`	Free	Scan saved strategies against live market data. Returns exact dollar entry, stop-loss, and take-profit prices for every active signal.
`search`	Free	Find saved strategies by keyword or natural language. Returns matches ranked by relevance with win rate, Sharpe, edge status.
`get_hypothesis`	Free	Full details on any strategy: formula, entry/exit rules, win rate, Sharpe, profit factor, max drawdown, version history.
`check_balance`	Free	View credit balance and available credit packs.
`reset_session`	Free	Kill a broken research session and start fresh.

MCP Prompts

Prompt	Description
`test-trading-idea`	Test any trading idea with real market data and statistical validation
`whats-firing-now`	Scan your validated strategies and show what's actively firing
`discover-edges`	Let VARRD's autonomous AI discover trading edges on a topic
`find-strategies`	Search your strategy library by keyword or concept

Quick Start — CLI

pip install varrd

# Research an idea (auto-follows the full workflow)
varrd research "When wheat drops 3 days in a row, is there a snap-back?"

# What's firing right now?
varrd scan --only-firing

# Search your saved strategies
varrd search "momentum on grains"

# Let VARRD discover edges autonomously
varrd discover "mean reversion on futures"

# Check credits
varrd balance

Quick Start — Python

from varrd import VARRD

v = VARRD()  # auto-creates free account

# What's firing right now?
signals = v.scan(only_firing=True)
for s in signals.results:
    print(f"{s.name}: {s.direction} {s.market} @ ${s.entry_price}")

# Research a trading idea
r = v.research("When RSI drops below 25 on ES, is there a bounce?")
r = v.research("test it", session_id=r.session_id)
print(r.context.has_edge)       # True / False
print(r.context.edge_verdict)   # "STRONG EDGE" / "NO EDGE" / etc.

# Get the trade setup
r = v.research("show me the trade setup", session_id=r.session_id)

Authentication & Passkey

First use auto-creates an account. You'll receive a passkey (VARRD-XXXXXXXXXXXXXXXX) saved to ~/.varrd/credentials.

  VARRD account created.
  Your passkey: VARRD-A3X9K2B7T4M8P1Q6
  Saved to: ~/.varrd/credentials

Link to browser: Go to app.varrd.com, click "Link your AI agent", enter your passkey with an email and password. Your agent's strategies and credits merge into your account.

v = VARRD(api_key="your-key")         # Python

varrd --key your-key scan              # CLI
export VARRD_API_KEY=your-key          # Environment variable

What You Get Back

Edge Found

STRONG EDGE: Statistically significant vs both zero and market baseline.
The pattern produces real returns that beat market drift.

  Direction: LONG
  Win Rate:  62%
  Sharpe:    1.45
  Trades:    247
  K:         3 (tests run on this hypothesis)

  Trade Setup:
    Entry:       $5,150.25
    Stop Loss:   $5,122.00
    Take Profit: $5,192.50
    Risk/Reward: 1.5:1

No Edge

NO EDGE: Neither test passed — no tradeable signal found.

This is a valid result. You found out for 25 cents
instead of $25,000 in live losses.

The Research Flow

Your idea (plain English)
    |
    v
  Chart pattern — see the actual signals on real price data
    |
    v
  You approve — sanity check before spending statistical power
    |
    v
  Statistical test — event study or backtest with proper controls
    |                 (K increments, fingerprints logged)
    v
  Edge verdict:  STRONG EDGE — beats zero AND beats market
                 MARGINAL    — beats zero, doesn't clearly beat market
                 NO EDGE     — no signal found
    |
    v
  Trade setup — exact dollar entry, stop-loss, take-profit

A typical session is 3-5 turns and costs ~$0.25.

8 Statistical Guardrails (Infrastructure-Enforced)

Guardrail	What It Does
K-Tracking	Counts every test. 50 variations = higher significance bar.
Bonferroni Correction	Multiple comparison penalty, automatic.
OOS Lock	Out-of-sample is sacred. One shot. Locked forever.
Lookahead Detection	Catches formulas that accidentally use future data.
Tools Calculate, AI Interprets	AI never fabricates a number. Every stat from real data.
Chart > Approve > Test	Must see and approve pattern before testing.
Fingerprint Deduplication	Can't retest same formula/market/horizon twice.
No Post-OOS Optimization	Parameters locked after OOS validates.

Data Coverage

Asset Class	Markets	Timeframes
Futures (CME)	ES, NQ, CL, GC, SI, ZW, ZC, ZS, ZB, TY, HG, NG + 20 more	1h and above
Stocks/ETFs	Any US equity	Daily
Crypto (Binance)	BTC, ETH, SOL + more	10min and above