Trendline Confluence Engine

How the Algorithm Works

Trendline Confluence Engine finds the diagonal a discretionary trader would actually draw. Its Multi-Pivot Consensus engine searches recent swing highs and lows for the slope with the most confirmed touches, discards any candidate price has already broken through, then wraps the survivor in a parallel channel with a volume-weighted equilibrium ray through the middle. A break only confirms once price closes beyond the line by an ATR-scaled buffer, on a directional candle, after enough confirmed touches, and within a slope angle that rules out a break from time drift alone. Every line carries its own touch and angle grade, so an A+ line with a long history and a fresh, steep one don't get treated the same. Once broken, a line is watched for a pullback retest, and a wick that pierces it but closes back inside is flagged as a liquidity sweep instead of a genuine break. A five-factor Confluence Score, macro trend alignment, relative volume and delta, touch count, slope angle, and higher-timeframe bias, rates whichever line is currently active. On a confirmed break, the indicator sets a structural invalidation level and, if enabled, up to three take-profit targets, then ratchets that invalidation to breakeven and trails it as price reaches them. Trendlines, channels, breaks, and retests are committed on confirmed bar closes and never redraw after the fact. This is a structure-and-confluence overlay: it grades the trendline in front of price, it doesn't predict the break before it happens or place a trade.