# VARRD — Statistically Validated Trading Edges + AI Research Engine

Connect an AI assistant to VARRD’s library of trading patterns and use it to examine market signals or test a hypothesis against historical data.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 24
- Author: varrdinc
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/varrdinc/varrd
- Updated: 2026-08-31
- HTML: https://affpapa.org/en/nevibecode/mcp/varrd-statistically-validated-trading-edges-ai-research-engine

## What it does

VARRD gives an AI access to a library of trading patterns and a way to examine quantitative tests. A separate backtesting engine calculates the statistics; the model interprets the results. Each pattern comes with its formula and test details, plus performance analysis such as drawdown and results across market regimes.

The library monitors futures, equities, and crypto markets for live signals. When a pattern fires, its entry, stop, target, and holding period are available alongside the testing history. Free access shows markets and signal status, but not trade direction, statistics, or levels. That distinction matters if you need trade parameters rather than a list of active markets.

## Requirements
- Remote server: `https://app.varrd.com/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http varrd https://app.varrd.com/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add varrd-statistically-validated-trading-edges-ai-research-engine --url https://app.varrd.com/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "varrd-statistically-validated-trading-edges-ai-research-engine": {
            "url": "https://app.varrd.com/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "varrd-statistically-validated-trading-edges-ai-research-engine": {
            "type": "http",
            "url": "https://app.varrd.com/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http varrd-statistically-validated-trading-edges-ai-research-engine https://app.varrd.com/mcp
```

## When to use it
- find markets with active trading signals
- test a trading hypothesis against historical data
- inspect a pattern’s formula and testing method
- compare strategy results across market regimes

## Example prompts
- Show me which VARRD signals are active right now.
- Test this idea: how does gold behave when silver ETFs hit 100-day lows?
- Explain how this trading pattern was tested and how it performs in different market regimes.

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