MCP For Claude Marketplace
Inside Bar Breakout Strategy

Inside Bar Breakout Strategy MCP Connector for Claude

A+

Detect volatility contraction and explosive breakouts using inside bar patterns.

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

This MCP server provides deterministic tools to identify volatility contraction through inside bar patterns. It identifies periods where price range tightens, signaling a potential explosive move. Use analyze_patterns to find contraction metrics, detect_signals to identify high-conviction breakouts with volume confirmation, and get_trade_metrics to evaluate strategy performance.

volatilitybreakoutinside-baralgorithmic-tradingprice-action

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

analyze_patterns

Identify inside bar formations and calculate contraction metrics

detect_signals

Identify valid buy and sell entry signals based on breakout rules

get_trade_metrics

Provide statistical summary of the strategy performance

See how to talk to your AI agent using Inside Bar Breakout Strategy.

Analyze these price arrays for inside bar patterns: highs=[10, 12, 11], lows=[5, 6, 7], closes=[8, 11, 9], volumes=[100, 80, 90]

The analysis identified an inside bar at index 2 with a compression ratio of 0.41.

Detect breakout signals for the following data: highs=[10, 12, 11, 13], lows=[5, 6, 7, 4], volumes=[100, 80, 90, 200], avgVolume=100, atr=[1, 1, 1, 1]

A BUY signal was detected at bar index 3 with an entry price of 13.0.

Calculate the performance metrics for these signals: signals=[{barIndex: 1, side: 'BUY', entryPrice: 10, stopLoss: 9, takeProfit: 12}], priceHistory=[10, 11, 12, 9]

The strategy achieved a win rate of 100% with a total profit of 2.0.

A breakout is confirmed when the price breaches the high or low of the inside bar with volume exceeding 1.5x the average volume.

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