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Entry Logic types explained

Trading Models in darwintIQ operate using one of several Entry Logic types — these define the core logic behind when and why a long/short entry is triggered.

Common Entry Logic Types

  • BollingerBands Identifies potential reversals when price closes outside the bands and confirms with a recent middle-band crossover

  • BreakoutExtrema Enters trades when price breaks above recent highs or below recent lows by a minimum pip threshold.

  • FailedBreakout Trades rejection after a sweep beyond a recent high or low when price quickly reclaims the broken area.

  • Frequency Trades support/resistance bounces and breakouts, filtered by short- and long-term trend direction.

  • Macd Trades momentum shifts when the MACD line crosses the signal line with meaningful histogram confirmation

  • Pattern Detects reversal candlestick formations near range edges and waits for confirmation before entry.

  • PullbackContinuation Trades continuation after a controlled pullback into a faster moving average inside an existing trend.

  • RangeBounce Trades range edges by buying near support and selling near resistance, optionally only when M5 and M15 agree on a ranging regime.

  • RegressionBandTouch Trades touches of the outer regression channel bands, optionally with multi-timeframe trend confirmation.

  • RsiReached Triggers entries when RSI crosses above oversold or below overbought thresholds.

  • SmaCross Follows trend shifts when a fast moving average crosses above or below a slower one.

  • SqueezeBreakout Looks for volatility compression and enters when price breaks out as the bands re-expand.

  • SupRes Trades moves away from recent support or resistance extrema after a bounce or rejection has already started.

  • Swing Trades bounces near dynamically identified support and resistance levels within a set price range.

  • TrendFollow Confirms and trades sustained moves by following the direction of a moving average over time.

Why Entry Logic Types Matter

  • They help you find Trading Models aligned with your market view.
  • Clustering by Entry Logic type allows apples-to-apples comparison.
  • You can filter the dashboard using the Entry Logic dropdown.

Understanding the logic behind a Trading Model's behavior makes entries more actionable.