Variable Index Dynamic Average is an adaptive technical indicator that changes its smoothing based on market volatility using the Chande Momentum Oscillator.

How does this MCP handle volatility?

It uses the Chande Momentum Oscillator as a volatility factor to automatically adjust how responsive the indicator is to price changes.

Which AI clients can use this MCP?

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

Can I detect market trends with this capability?

Yes, the detect_vidya_regime capability identifies if the market is in a Bullish, Bearish, or Neutral state.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

What makes VIDYA different from a standard EMA?

Unlike a standard EMA which uses a constant smoothing factor, VIDYA scales its responsiveness using the Chande Momentum Oscillator (CMO) to adapt to market volatility.

How can I identify the current market trend?

You can use the detect_vidya_regime capability to identify if the market is in a Bullish Trend, Bearish Trend, or Sideways/Neutral state.

Can I customize the smoothing sensitivity?

Yes, you can adjust the cmoPeriod for momentum lookback and the emaPeriod for the base smoothing factor via the available capabilities.

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Connect Variable Index Dynamic Average Vidya Calc 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 adaptive market smoothing that reacts to volatility.

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.

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.

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 Variable Index Dynamic Average.

01
Calculate vidya series
This capability generates a complete dataset of VIDYA values, including slopes and adaptive responses for your price data.
02
Get vidya summary
Use this to get a statistical snapshot of how the VIDYA indicator behaved over a specific price range.
03
Detect vidya regime
This capability identifies if the market is in a Bullish, Bearish, or Neutral state by comparing price to the VIDYA line.

Real work

What teams actually run

Trend Identification

Use the regime detection capability to confirm if a price breakout is a true Bullish trend.

Volatility Adjustment

Apply adaptive smoothing to price series to better track momentum during volatile sessions.

Backtesting Data Generation

Generate full VIDYA series datasets to test how adaptive indicators would have performed on historical data.

Statistical Auditing

Get summaries of indicator behavior to understand how a specific asset's volatility affects its trend line.

One connector, every AI

Variable Index Dynamic Average 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.

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

You don't need a client to put Variable Index Dynamic Average 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

868ms average. Fast in production.

Variable Index Dynamic Average is checked daily against the live service.

Daily averagePeak 1161ms

Oct 3Today

Fastest day: 703ms
Slowest day: 1161ms
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 Variable Index Dynamic Average, so you can see the experience inside your AI.

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

Variable Index Dynamic Average Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Variable Index Dynamic Average capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "variable-index-dynamic-average-vidya-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uYP5svka5R1qJSXZR1zWipqkECmdyR1ZiPCaR7uZ/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 Variable Index Dynamic Average in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Variable Index Dynamic Average owners hand off.

This is built for technical analysts and algorithmic traders who need adaptive indicators.

01
Quantitative Traders
They hand raw price data to the AI to generate adaptive smoothing datasets.
02
Technical Analysts
They use the capability to quickly identify market regimes and trend strength.
03
Algorithmic Developers
They use the calculated slopes and responses to feed into automated trading logic.

FAQ

Questions Variable Index Dynamic Average owners ask.

01
What is VIDYA?
Variable Index Dynamic Average is an adaptive technical indicator that changes its smoothing based on market volatility using the Chande Momentum Oscillator.
02
How does this MCP handle volatility?
It uses the Chande Momentum Oscillator as a volatility factor to automatically adjust how responsive the indicator is to price changes.
03
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
Can I detect market trends with this capability?
Yes, the detect_vidya_regime capability identifies if the market is in a Bullish, Bearish, or Neutral state.
05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.
06
What makes VIDYA different from a standard EMA?
Unlike a standard EMA which uses a constant smoothing factor, VIDYA scales its responsiveness using the Chande Momentum Oscillator (CMO) to adapt to market volatility.
07
How can I identify the current market trend?
You can use the detect_vidya_regime capability to identify if the market is in a Bullish Trend, Bearish Trend, or Sideways/Neutral state.
08
Can I customize the smoothing sensitivity?
Yes, you can adjust the cmoPeriod for momentum lookback and the emaPeriod for the base smoothing factor via the available capabilities.

Explore

More in Finance

Connect Variable Index Dynamic Average to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Calculate vidya series

Get vidya summary

Detect vidya regime

What teams actually run

Trend Identification

Volatility Adjustment

Backtesting Data Generation

Statistical Auditing

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

Variable Index Dynamic Average Connector

Claude Desktop

Quantitative Traders

Technical Analysts

Algorithmic Developers

What is VIDYA?

How does this MCP handle volatility?

Which AI clients can use this MCP?

Can I detect market trends with this capability?

Do I need to host the MCP myself?

What makes VIDYA different from a standard EMA?

How can I identify the current market trend?

Can I customize the smoothing sensitivity?

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