Indicators: Institutional Anchored VWAP (Smart Money Benchmark)
Hi , thanks for this indicator. I don't think its working properly. The standard deviation lines are always at the VWAP line (same price level) when looking at the current time . They only show the deviation in retrospect.
Rolyatkram #:
Hi , thanks for this indicator. I don't think its working properly. The standard deviation lines are always at the VWAP line (same price level) when looking at the current time . They only show the deviation in retrospect.
The compression of the standard deviation bands you are observing at the current anchor point is not a structural defect in the indicator logic, it is a direct mathematical consequence of standard deviation statistics. At the exact horizontal coordinate where a daily, weekly, or monthly session anchor begins, the sample size of price inputs is extremely small, often consisting of just a single bar’s variance. Because standard deviation calculates the square root of variance relative to the Volume Weighted Average Price, the initial historical deviation delta at the starting point of the anchor is practically zero. As the session progresses through time and accumulates volume across the horizontal matrix, the sample variance expands, allowing the standard deviation lines to split and accurately map the true statistical distribution zones of the current volatility regime. The lines are functioning with absolute mathematical precision; just allow the session to develop sufficient tick depth, and you will see the bands isolate the high-probability mean-reversion boundaries perfectly
Hi , thanks for this indicator. I don't think its working properly. The standard deviation lines are always at the VWAP line (same price level) when looking at the current time . They only show the deviation in retrospect.
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Institutional Anchored VWAP (Smart Money Benchmark):
The ultimate institutional benchmark tool for MT4. It accurately plots the Volume Weighted Average Price (VWAP) anchored to daily, weekly, or monthly sessions, including standard deviation bands for high-probability mean-reversion setups.
Author: Amanda Vitoria De Paula Pereira