MCP For Claude Marketplace
Moving Average Ribbon Calculator

Moving Average Ribbon Calculator MCP Connector for Claude

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Analyze market trends and volatility using multi-layered Moving Average ribbons.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic engine for analyzing market momentum through Moving Average (MA) ribbons. It allows AI agents to transform historical price data into multi-layered ribbons to identify trend strength, convergence, and breakout potential. Use calculate_ribbon_values to compute specific MA values for any period, analyze_ribbon_geometry to determine if the ribbon is in an expanded or compressed state, and detect_squeeze_setup to identify high-probability volatility breakouts following periods of compression.

moving-averagetechnical-analysistrading-toolsvolatilitymomentum

3 tools expose this connector's capabilities to your AI agent.

calculate_ribbon_values

Compute specific Moving Average values for every period requested

analyze_ribbon_geometry

Determine the qualitative state, trend direction, and width of the ribbon

detect_squeeze_setup

Identify if the current ribbon compression represents a Squeeze

See how to talk to your AI agent using Moving Average Ribbon Calculator.

Calculate the 10, 20, and 30 period SMA values for these closing prices: [150, 152, 151, 153, 155, 157, 156, 158, 160, 162].

The SMA values are: 10-period: 154.4, 20-period: N/A (insufficient data), 30-period: N/A (insufficient data).

Analyze the ribbon geometry for these MA values: {'10': 155, '20': 150, '30': 145}.

The ribbon is in an ascending order, indicating an uptrend, with a width of 10.

Is there a squeeze setup if the current width is 2 and historical widths were [10, 12, 15, 14, 11]?

Yes, a squeeze setup is detected with high confidence as the current width is a local minimum following an expansion.

A Moving Average Ribbon is a collection of multiple moving averages with different time periods plotted together to visualize trend direction and volatility.

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