Elastic Volume Weighted Moving Average (eVWMA) is a statistical measure using the volume to define the period of the moving average. The eVWMA can be looked at as an approximation to the average price paid per share. Multiplier is usually the number of shares, but it can be approximated using cumulative sum of volume (Enable it via "Use Cumulative Volume" option) or sum of volume over "n" periods.
I have also added an option to draw eVWMA envelope (eVWMA on HLC).
More info:
christian-fries.de/e.../PDF/evwma_intro.pdf
List of all my indicators:
- Chart: - GDoc: docs.google.com...ByMEvm5MLo/edit?usp=sharin...
I have also added an option to draw eVWMA envelope (eVWMA on HLC).
More info:
christian-fries.de/e.../PDF/evwma_intro.pdf
List of all my indicators:
- Chart: - GDoc: docs.google.com...ByMEvm5MLo/edit?usp=sharin...
List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970
List of my indicators at Appstore: blog.tradingview.com/?p=970
// // @author LazyBear // List of all my indicators: https://www.tradingview.com/v/4IneGo8h/ // study("Elastic Volume Weighted Moving Average [LazyBear]", shorttitle="EVWMA_LB", overlay=true) length=input(20) useCV=input(false, type=bool, title="Use Cumulative Volume") renderBands=input(false, type=bool, title="Draw Envelope") nbfs = useCV ? cum(volume) : sum(volume, length) medianSrc=close calc_evwma(price, length, nb_floating_shares) => data = (nz(data[1]) * (nb_floating_shares - volume)/nb_floating_shares) + (volume*price/nb_floating_shares) data m=calc_evwma(medianSrc, length, nbfs) plot(m, color=maroon, linewidth=2, title="evwma") plot(renderBands ? calc_evwma(high, length, nbfs): na, color=red , linewidth=2, title="evwma+") plot(renderBands ? calc_evwma(low, length, nbfs) : na, color=green, linewidth=2, title="evwma-")