LazyBear

Elastic Volume Weighted Moving Average & Envelope [LazyBear]

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...

List of my free indicators: bit.ly/1LQaPK8
List of my indicators at Appstore: blog.tradingview.com/?p=970
开源脚本

本着真正的TradingView精神,该脚本的作者将其开源发布,以便交易者可以理解和验证它。为作者喝彩!您可以免费使用它,但在出版物中重复使用此代码受网站规则的约束。 您可以收藏它以在图表上使用。

免责声明

这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。

想在图表上使用此脚本?
//
// @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-")