What SCTA measures
Smart Cross-TimeFrame Alignment (SCTA) is the only engine that reads two windows at once: a lower and a higher timeframe. It asks whether the lower-timeframe move is structurally supported by the higher one.
Its core states are Clean Trend Continuation, Pullback in Trend, Fake Alignment, Divergent Impulse, Overextended Move, Structural Tension, Structural Breakdown and Noisy Misalignment. Its phases are Building, Holding, Straining, Fracturing, Resolving and Neutralizing.
The regimes to know
Clean Alignment means trend continuation is structurally valid across timeframes. Pullback Alignment means a healthy pullback inside a supported trend. Fake Alignment means a deceptive breakout with weak structural support. Divergent Move, Overextension, Structural Tension, Breakdown and Noise Regime describe the ways alignment fails.
Cross TF Intelligence: the market on SCTA
The Intelligence page shows Aggressive Buy vs Sell across the market, Sector Rotation, SCTA Top Ranking, the Cross-Timeframe Alignment Distribution and Trend Strength by Timeframe, which borrows its reading from MSI and says so.
Alignment Structure Analysis: the matrix
The Timeframe Alignment Matrix lays out every timeframe side by side and scores HTF direction, structure alignment, volatility fit, liquidity sync, momentum sync, structural stress and continuation bias. Labels such as With HTF, Against HTF, Aligned, Broken, Stressed and Reversion Risk make disagreement easy to spot.
Alignment Metrics and Multi-Timeframe
The Metrics page adds Multi-Timeframe Structure and Volatility Momentum, and the Multi-Timeframe page shows the SCTA structure matrix and state distribution across timeframes.
Using it before a breakout
Before trusting a breakout, check that the higher timeframe reads With HTF or Strong With HTF and that structure is Aligned. If the move is Against HTF, or the engine reads Fake Alignment or Overextension, the breakout has less structural support.