MCP For Claude Marketplace
Stochastic Oscillator Calculator

Stochastic Oscillator Calculator MCP Connector for Claude

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Calculate Stochastic Oscillator values, identify crossovers, and detect price-momentum divergences.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides precise technical analysis tools for the Stochastic Oscillator. It allows AI agents to compute %K and %D values, identify overbought and oversold conditions, detect bullish and bearish crossovers, and find price-momentum divergences. Use calculate_stochastic_metrics to generate core oscillator data, detect_stochastic_divergence to find discrepancies between price and momentum, and get_oscillator_summary for a quick snapshot of the current market trend.

stochasticoscillatormomentumtradingindicatorsfinance

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

detect_stochastic_divergence

Identify discrepancies between price movement and oscillator momentum

calculate_stochastic_metrics

Calculate core Stochastic Oscillator values (%K and %D) and identify signal states

get_oscillator_summary

Provide a high-level snapshot of the current market state

See how to talk to your AI agent using Stochastic Oscillator Calculator.

Calculate the stochastic metrics for these prices: High [10, 12, 11], Low [8, 9, 8], Close [9, 11, 10].

The calculated %K values are [45.2, 78.5, 50.0] and %D values are [40.1, 55.3, 58.2]. The current status is NEUTRAL.

Is the market currently overbought or oversold based on these %K values: [85, 88, 90] and %D values: [80, 82, 84]?

The market is currently in the OVERBOUGHT zone as the most recent %K value is 90.

Check for divergences using these prices: High [100, 110, 115], Low [50, 45, 40] and %K values: [50, 55, 52].

A BEARISH_DIVERGENCE was detected because the price reached a higher high of 115 while the %K value reached a lower high of 52.

Fast Stochastic uses the raw %K calculation. Slow Stochastic applies smoothing to the %K values to reduce market noise, making it more reliable for trend identification.

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