Volume Weighted Distance applies statistical and machine learning distance metrics between source prices and their rolling mean, weighted by volume, to identify local trend reversals.
1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
Users can select from Manhattan, Euclidean, Mahalanobis, Cosine Similarity, and Correlation Distance methods. When the weighted distance crosses a user-defined threshold during a price pivot, bullish or bearish shape labels are plotted on the main chart. Due to a negative plot offset, historical label locations repaint.
Multiple distance algorithms including Manhattan and Euclidean
Volume-weighted logarithmic distance calculation
Threshold-based trend pivot detection
Configurable lookback window and source price input
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Price Data
source
close
price
Distance measure
string
Manhattan
method
Lookback Window
int
2
p
Threshold
float
10.5
thres
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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