Moving Average Calculator

Moving Average Calculator MCP Connector for Claude

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Compute advanced moving average indicators and trend signals from financial time series data.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic engine for calculating a wide range of moving average indicators. It connects AI agents to precise mathematical smoothing techniques used in financial analysis. Use calculate_moving_averages to compute series like SMA, EMA, WMA, VWMA, HMA, ALMA, DEMA, or TEMA and detect price crossover signals. You can also use get_moving_average_summary to extract statistical insights like volatility and average values from your results, or validate_indicator_params to ensure your configuration is mathematically sound before processing.

tradingindicatorstime-seriestechnical-analysisstatistics

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

calculate_moving_averages

Computes a requested moving average series and identifies trend signals for a given price dataset

get_moving_average_summary

Provides a statistical overview of a calculated moving average series

validate_indicator_params

Checks if the provided parameters are mathematically valid for the selected indicator type

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

Calculate a 50-period SMA for these prices: [150, 152, 151, 153, 155, 154, 156].

The 50-period SMA for the provided price series is 153.14.

Check if the parameters for an ALMA calculation are valid with offset 0.85 and sigma 6.

Yes, the parameters are valid for the ALMA indicator.

What is the volatility of these moving average values: [10, 12, 11, 13, 12]?

The volatility (standard deviation) of the provided values is 1.14.

The engine supports SMA, EMA, WMA, VWMA, HMA, ALMA, DEMA, and TEMA.

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