MCP For Claude Marketplace
Awesome Oscillator Calculator

Awesome Oscillator Calculator MCP Connector for Claude

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Calculate Bill Williams' Awesome Oscillator and detect momentum patterns.

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

This MCP server provides deterministic tools for calculating the Awesome Oscillator (AO) based on Bill Williams' methodology. It allows AI agents to process high and low price data to generate AO series, identify momentum shifts via detect_patterns, and classify market sentiment using analyze_trend_signals. Users can identify specific signatures like the Saucer pattern or Twin Peaks to better understand trend strength and direction.

tradingmomentumbill-williamstechnical-analysisoscillators

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

analyze_trend_signals

Classifies the specific type of zero-line cross to determine market sentiment

calculate_ao_series

Generates the raw AO values and histogram colors for a provided set of price data

detect_patterns

Identifies specific Bill Williams pattern signatures within the calculated AO series

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

Calculate the AO series for these prices: Highs [10, 12, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43] and Lows [9, 11, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42].

The calculated AO values and histogram colors have been generated based on the provided median prices.

Detect patterns in these AO values: [1.5, 1.2, 1.4, 1.1, 1.3] and colors: ['green', 'red', 'green', 'red', 'green'].

No specific patterns like Saucers or Twin Peaks were detected in the provided sequence.

Identify the trend signal for AO values: [-0.5, -0.2, 0.1, 0.4].

A Bullish Cross was detected as the AO value moved from negative to positive.

To use `calculate_ao_series`, you must provide arrays of high and low price points. Ensure both arrays have at least 34 elements to satisfy the SMA requirements.

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