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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Kaufman Adaptive Moving Average with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate adaptive moving averages that adjust to market volatility.

Included with plan

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

Complete set · 3 capabilities

The complete Kaufman Adaptive Moving Average capability set.

These are the exact actions your AI can choose when you ask it to work with Kaufman Adaptive Moving Average.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Kaufman Adaptive Moving Average.

  1. 01

    Calculate kama series

    Computes the full sequence of KAMA values and trend metrics for a provided set of prices

  2. 02

    Get latest kama status

    Extracts the most recent trend and volatility data from a pre-calculated series

  3. 03

    Analyze kama volatility regime

    Determines whether the market is currently in a trending or ranging regime based on the efficiency of recent movements

Observed, not estimated

807ms average. Fast in production.

Kaufman Adaptive Moving Average is checked daily against the live service.

Daily averagePeak 945ms
Aug 20Today
Fastest day
706ms
Slowest day
945ms
14-day trend
Stable-1%

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 Kaufman Adaptive Moving Average, so you can see the experience inside your AI.

It does not authenticate your account with Kaufman Adaptive Moving Average. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Kaufman Adaptive Moving Average Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QeHHBMLTwx6vQSFHoSo9kqveZm5WAXFYa3h5Xtzj/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 — Kaufman Adaptive Moving Average capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kaufman-adaptive-moving-average-kama-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QeHHBMLTwx6vQSFHoSo9kqveZm5WAXFYa3h5Xtzj/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

FAQ

Questions Kaufman Adaptive Moving Average owners ask.

  • 01

    How does KAMA differ from a standard EMA?

    Standard EMAs use a constant smoothing factor. KAMA uses an Efficiency Ratio to change its smoothing speed based on market volatility, making it more responsive to trends and less sensitive to noise.

  • 02

    Can I get the current trend status directly?

    Yes, you can use the get_latest_kama_status capability to retrieve the current KAMA value, slope, and trend direction from a series.

  • 03

    What determines the market regime?

    The analyze_kama_volatility_regime capability determines if the market is TRENDING or RANGING by comparing the most recent Efficiency Ratio to the average ER of the series.

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