Tick Index Cumulative Calculator

Tick Index Cumulative Calculator MCP Connector for Claude

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Calculate cumulative tick indices, momentum, and statistical breadth metrics.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic analytical engine for market breadth analysis. It allows AI agents to calculate cumulative tick indices, momentum, and volatility-adjusted Z-scores. Use calculate_tick_metrics to get a full suite of metrics including moving averages and momentum. Use detect_divergences to identify bearish discrepancies between price action and cumulative breadth. Finally, use get_breadth_classification to determine market states like overbought or oversold and receive mean-reversion signals.

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

detect_divergences

Identifies discrepancies between price action and cumulative breadth trends

calculate_tick_metrics

Provides a comprehensive suite of cumulative, momentum, and statistical breadth metrics

get_breadth_classification

Categorizes the current market state based on volatility-adjusted and threshold-based breadth indicators

See how to talk to your AI agent using Tick Index Cumulative Calculator.

Calculate the tick metrics for these daily indices: [100, 150, -50, 200, 300] with a lookback of 5.

The cumulative index is 500, the 10-day moving average is 120, and the momentum is 100.

Is there a bearish divergence if the cumulative tick index hit 5000 but the price only hit 150?

Yes, a bearish divergence is detected because the cumulative tick index reached a new high while the price failed to reach a corresponding new high.

Classify the market state for a Z-score of 2.5 and a tick of 1200.

The market is classified as Extreme Positive and the mean-reversion signal is Sell.

It is the running total of daily tick index values, used to visualize long-term market breadth trends.

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