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Connect Rogers Satchell Volatility Calculator to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get accurate volatility estimates that ignore price drift.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Rogers-Satchell Volatility.

  1. 01

    Calculate volatility comparison

    Compares the Rogers-Satchell results against Parkinson and Garman-Klass estimators to see how different models interpret your data.

  2. 02

    Calculate rs volatility

    Runs the deterministic Rogers-Satchell calculation on a specific series of price data.

  3. 03

    Get volatility percentile

    Finds where your most recent volatility reading sits within a historical window using percentile ranking.

Real work

What teams actually run

01

Trending Market Analysis

Use the drift-independent nature of the model to get accurate volatility during strong bull or bear runs.

02

Risk Outlier Detection

Check the percentile rank of current volatility to see if it is significantly higher than historical norms.

03

Model Validation

Compare Rogers-Satchell against Parkinson and Garman-Klass to ensure your volatility estimates are consistent.

04

Automated Quantitative Research

Let your AI agent perform repetitive volatility calculations on large sets of OHLC data.

One connector, every AI

Rogers-Satchell Volatility works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Rogers-Satchell Volatility to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

840ms average. Fast in production.

Rogers-Satchell Volatility is checked daily against the live service.

Daily averagePeak 1147ms
Oct 3Today
Fastest day
648ms
Slowest day
1147ms
14-day trend
Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Rogers-Satchell Volatility, so you can see the experience inside your AI.

It does not authenticate your account with Rogers-Satchell Volatility. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Rogers-Satchell Volatility Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Rogers-Satchell Volatility capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rogers-satchell-volatility-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_N4jLFPSx7eO4lHHqyXSriTtbGeoa20SD4BTzI19F/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Rogers-Satchell Volatility in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Rogers-Satchell Volatility owners hand off.

This MCP is built for quantitative professionals who need more reliable volatility metrics than standard models provide.

  • 01

    Quantitative Analysts

    They hand off raw OHLC data to the agent to get drift-independent volatility metrics.

  • 02

    Risk Managers

    They use the percentile capability to determine if current market volatility is an outlier.

  • 03

    Algorithmic Traders

    They use model comparisons to validate their volatility assumptions against different estimators.

FAQ

Questions Rogers-Satchell Volatility owners ask.

  • 01

    What makes Rogers-Satchell different from other volatility models?

    It is drift-independent, meaning it stays accurate even when the asset price is trending strongly in one direction.

  • 02

    What data does this MCP need?

    It requires a series of OHLC data, which includes the open, high, low, and close prices.

  • 03

    Can I compare different volatility estimators?

    Yes, you can use the comparison capability to see Rogers-Satchell results alongside Parkinson and Garman-Klass models.

  • 04

    How do I know if current volatility is high?

    You can use the percentile capability to see how the most recent volatility value ranks against a historical window of data.

  • 05

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    What makes Rogers-Satchell different from other models?

    The Rogers-Satchell model is drift-independent, which means it does not mistake price trends for volatility, providing a more accurate measure during trending markets.

  • 07

    How can I compare different volatility estimators?

    You can use the calculate_volatility_comparison capability to see the Rogers-Satchell value alongside Parkinson and Garman-Klass estimates for your price series.

  • 08

    What data format is required for the capabilities?

    Capabilities require a JSON array of objects, where each object contains 'open', 'high', 'low', and 'close' price values.

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