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Volatility Adjusted Moving Average: Pineify VAMA Formula and Limits

· 3 min read
Pineify Team
Pine Script and AI trading workflow research team

Pineify’s Volatility Adjusted Moving Average adds the midpoint of recent deviations to an EMA. It is not the volatility-ratio multiplier formula previously shown on this page, and the implementation does not change the EMA’s smoothing length as volatility rises.

VAMA Indicator

The implemented calculation​

First calculate an EMA of the selected source over the chosen length. On each bar, subtract that EMA from the source. Find the highest and lowest values of this deviation over the last ten bars, take their arithmetic midpoint, and add it to the current EMA.

In compact form, VAMA is EMA + (highest deviation + lowest deviation) / 2, with a ten-bar deviation window. If deviations are symmetric around zero, their midpoint is near zero and the adjustment is small even when their range is wide. If they are asymmetric, the adjustment shifts the EMA toward that imbalance.

The highest deviation need not be positive, and the lowest need not be negative. They are extrema of the signed deviation series. This is different from multiplying an EMA by a price-range ratio or a user-controlled sensitivity factor.

Configure the component​

In the Pineify visual editor, search for Volatility Adjusted Moving Average or VAMA. The registered inputs are Source, defaulting to Close, and Length, defaulting to 9. The volatility lookback is fixed at ten bars in this component; it is not a separate setting in the current visual input form.

Generate the script, inspect its calculation and add it to the intended TradingView chart. Record the source, length and chart timeframe. Another publication using the VAMA name may implement a different formula, so compare source rather than names alone.

Read the line as a calculation​

Price above the line, price crossing the line and the line rising are distinct conditions. None proves that a trend will continue. A crossing can occur because price moves, because the EMA changes, or because an old deviation extreme leaves the ten-bar window.

The current bar’s source can change before close. If using the component on another timeframe, evaluate the data request and confirmation policy as well. A plotted line alone does not establish non-repainting alert behavior.

Compare rules without preset outcomes​

To compare VAMA with an EMA, hold the source, market, dates and execution assumptions constant. Specify the same entry and exit rule around each line, include costs, and retain a separate period that was not used to select inputs. Inspect trade count and individual losses as well as aggregate metrics.

The earlier market-specific settings, Nikkei reversal story, decade of experience and prescribed win-rate/profit-factor targets had no reproducible evidence. No setting is described as proven for scalping, forex or crypto. Shorter periods change responsiveness; whether that helps a particular strategy requires a test.

Implementation reviewed October 20, 2026. For the underlying EMA behavior, see TradingView’s EMA documentation.

How to search for and add indicator pages in the Pineify editor