smart-money-trap-detector

To detect fake breakouts and liquidity traps, you analyze price data using proximity to support and resistance, wick analysis, and ATR-based thresholds. This flags bull traps, bear traps, and stop hunts to help avoid false moves.

A bull or bear trap is a false breakout where price moves beyond key support or resistance to trigger stop orders, then reverses. Institutional traps like these are identified through wick analysis and order-flow signals.

Yes, fake breakout and liquidity trap detection works across multiple timeframes and asset classes including stocks, forex, and crypto. It relies on market-structure cues and order-flow signals rather than asset-specific behavior.

You filter false breakouts by integrating inputs from liquidity-order-flow-mapper and market-structure-bos-choch. Enriching trap detection with these order-flow signals and structure cues improves entry quality and context.

The best way to identify stop hunts and liquidity grabs is by applying ATR-based thresholds and wick analysis to price data near key levels. This flags institutional traps and produces events for further action.