# options-analytics

> Use this tool when you need to analyze and optimize options trading strategies in real-time, solving problems such as risk exposure, volatility forecasting, and arbitrage detection. It provides 23 analytics tools, including gamma, delta, and volatility surfaces, with inputs of market data and outputs of actionable insights via streamable HTTP transport. Ideal for use in high-frequency trading, market making, and portfolio optimization contexts.

Canonical page: https://skillsregistry.net/skills/flashalpha-options-analytics  
JSON: https://api.skillsregistry.net/v1/skills/flashalpha-options-analytics

## Description

Real-time options analytics MCP server. 23 tools covering gamma/delta/vanna/charm exposure (GEX/DEX/VEX/CHEX), dealer positioning, 0DTE analytics, volatility surfaces, SVI parametrization, arbitrage detection, variance swaps, VRP dashboard, Black-Scholes greeks, IV solver, Kelly criterion sizing, option quotes, historical tick data, and key options levels for US equities. Streamable HTTP transport, API key auth.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/FlashAlpha/options-analytics)

## 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": "flashalpha-options-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flashalpha-options-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flashalpha-options-analytics/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