Name: Institutional Liquidity Flow Index Range := Max(H - L, 0.0001); ClosePos := ((Cl - L) - (H - Cl)) / Range; VolumeWeight := ClosePos * Volume; NetFlow := Mov(VolumeWeight, 21, E); SignalLine := Mov(NetFlow, 8, W); NetFlow - SignalLine; Use code with caution. Breakdown of the Logic
As markets become more algorithmic, traditional indicators often need "smoothing" or "adaptive" components to remain effective. Here are three new formula concepts for the current year. 1. The Adaptive Volatility Breakout (AVB)
Variables Periods := Input("Periods",1,100,20); Width := Input("Width Multiplier",0.1,5,2); metastock formulas new
This guide explores the core concepts of the MetaStock formula language, highlights recent developments, and provides practical examples to help you create your own powerful trading tools.
Most gaps fill. Find the ones that won't. Name: Institutional Liquidity Flow Index Range := Max(H
A common advanced technique uses two stochastics: one slower (e.g., 75‑period) to identify the trend, and one faster (e.g., 5‑period) to time the entry. The following code attempts to capture oversold bounces when the slower stochastic has just crossed above 20 and remains below 80, while the faster stochastic is deeply oversold:
Most traders look at one timeframe. Professionals look at three. New syntax allows you to pull data from higher timeframes without leaving your 1-minute chart. Security("NASDAQ:MSFT", PERIODWEEKLY, CLOSE) Find the ones that won't
Standard momentum indicators are highly susceptible to market noise. This new formula builds an , which dynamically shifts its smoothing period based on the market's underlying structural volatility.
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We plot a Keltner-style channel but calculated with a standard deviation multiplier. This creates a smoother envelope than Bollinger Bands, ideal for spotting "buy dips" in an uptrend.
