# AlphaAssay

> AlphaAssay — alphaassay. Use this tool when you need to validate the effectiveness of trading strategies and signals through rigorous statistical analysis. AlphaAssay solves problems of strategy evaluation and performance assessment by providing deterministic validation and detecting potential issues like overfitting and data leakage. It takes in trading strategies and backtest data as input and outputs signed pass/fail verdicts on the strategy's legitimacy, making it ideal for use in contexts where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/alphaassay  
JSON: https://api.skillsregistry.net/v1/skills/alphaassay

## Description

AlphaAssay is an independent assay office for trading signals, providing deterministic statistical validation of trading strategies, backtests, signals, parameter sweeps, and track records. It runs deflated Sharpe ratio checks, probability-of-backtest-overfitting (PBO) analysis, leakage forensics, and pre-registration with Merkle-anchored timestamping to produce signed pass/fail verdicts on whether a strategy has genuine edge or is just noise. The service is asset-agnostic across crypto, equities, futures, and FX, and explicitly does not provide financial advice.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alphaassay)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaassay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaassay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaassay/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt