mss-detector

Detecting market structure shifts involves identifying swing points and confirming them with candle closes and liquidity sweeps to anticipate price reversals. This process provides structured bullish or bearish signals with specific entry zones, stops, and targets.

Multi-timeframe market structure shift analysis aggregates swing point detection and MSS confirmation across different timeframes. This confluence analysis produces higher-probability, AI-validated trading signals by confirming reversals across multiple chart intervals simultaneously.

To get MSS signals with entry zones and stop-loss levels, run the detector with a specific symbol and timeframe. The system outputs actionable recommendations including structure context, confidence scores, and predefined stops and targets.

AI confirmation improves market structure shift detection accuracy by applying AI scoring to validate bullish and bearish setups. This mechanism filters lower-probability trades by assessing liquidity sweeps and MSS confluence across multiple timeframes.

Yes, you can apply market structure shift detection across multiple assets and timeframes. The system performs multi-timeframe aggregation and swing point detection to generate structured signals regardless of the specific symbol analyzed.

Market structure shift signals rely on accurate swing point detection and liquidity sweep cues, meaning false breakouts can generate inaccurate reversal forecasts. Traders should use the provided AI confidence scores and structure context to filter low-probability setups.