ALMA with Floating Levels

Category: trend, volatility

Arnaud Legoux Moving Average (ALMA) featuring adaptive floating levels for trend exhaustion and regime detection, using a Gaussian distribution for superior smoothness.

Formula

W(i) = exp(- (i - m)^2 / (2 * s^2)) \\ m = offset * (N - 1) \\ s = N / sigma \\ ALMA = \sum(Price * W) / \sum(W) \\ FloatingLevels = Min + (Max - Min) * \%Level

Inputs

• AlmaPeriod (default: 14)
• AlmaPrice (default: pr_close)
• AlmaSigma (default: 6.0)
• AlmaSample (default: 0.25)
• ColorOn (default: cl_out)
• flLookBack (default: 25)

See signal primitives and every published strategy that uses ALMA with Floating Levels on WOBR StrategyVerse.