KAMA stands for Kaufman Adaptive Moving Average , and it is a type of adaptive moving average used in technical analysis and trading. The KAMA was developed by Perry Kaufman and introduced in his book "Smarter Trading" in 1993. The KAMA is designed to be adaptive, meaning that it dynamica...

The SmoothStep function is a mathematical function commonly used in computer graphics and animation to create smooth transitions or animations between two values over a specified range. In the context of trading, the SmoothStep function might be used for smoothing price data or generating signals fo...

Singular Spectrum Analysis (SSA) is a technique used in time-series analysis to decompose a time series into its underlying components and extract meaningful patterns, trends, and cyclic behavior. SSA has found applications in various fields, including finance and trading. In trading, Singular Spec...

In trading, the Nadaraya-Watson Estimator (NWE) , also known as kernel regression is a statistical method used for non-parametric regression and prediction tasks. It is named after its inventors, E.P. Nadaraya and G. Watson, who introduced it in the 1960s. The NWE is commonly used in finance and tra...

Nadaraya-Watson Estimator (NWE) ► SSA ► SmoothStep function ► KAMA

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v2v dynamic trading system ► dynamic MyNET • Singular Spectrum Analysis (SSA) — Now... with End-Point (based on mladen's norm EP): This variation is uniquely applied with NET technology SSA processes heavily with the required library file ( libSSA.dll - not to mention the o.g. dynamicZone.dll )... ...

v2v dynamic trading system ► dynamic MyNET • Single Spectrum Analysis (SSA) got optimized: — SSA is ON: Price line uses SMA... OFF: uses the MA Filter (T3 or Zero-lag TEMA)... and the Signal line uses embedded DSEMA — By default, SSA is turned OFF, which speeds up loading and processing. • McGinley...

dynamic MyNET ► Singular Spectrum Analysis • Now... with NO End-Point. – Embedded parameters for SSA : int SSALag = 21; int SSANumberOfComputations = 2; int SSAPeriodNormalization = global.period; int SSANumberOfBars = MathMax(300,(MinBars/2)-100); int FirstBar = MathMax(400,MinBars/2); SSA_No_End-...

TCF with NET