Overbought or Oversold? Check Distance From MA

S&P 500SP

描述

⋅ 2020年3月18日下午12點36分

Moving averages are one of the most basic tools for technical analysts. They can be useful for both trend analysis and for mean reversion.

But how can you know when price is historically overbought or oversold relative to a moving average? Distance from MA can help.

This indicator calculates the distance from a moving average as a percentage and plots the result as an oscillator. Values above 0 appear in green, while negative readings are colored red.

This chart highlights the depth of the S&P 500's recent selloff. As you can see, the close dipped to 25 percent below its 50-day SMA on Monday. That was its most oversold condition since November 20, 2008 -- in the middle of the subprime financial crisis.

Distance from MA can handle five types of moving average. Simply change the "AvgType" input according to this key:

1 - Simple Moving Average

2 - Exponential Moving Average

3 - Hull Moving Average

4 - Weighted Moving Average

5 - Volume-Weighted Moving Average

Moving Averages Oscillators

評論

juanman.gd

⋅ 2020年7月9日下午5點00分

Very good analysis , thanks for sharing

Ungovernable

⋅ 2023年2月25日下午5點28分

Added custom timeframe feature -
//@version=4
//MA Distance plots the price's distance from a given MA in percent. It's color coded green (positive) or red (negative).

//MA types are:
// 1 - simple
// 2 - exponential
// 3 - Hull
// 4 - weighted
// 5 - volume weighted

study(title = "Distance from MA", shorttitle="MA_dist")
timeframeInput = input(title="Timeframe", type=input.resolution, defval="")
length = input(50, minval=1, title="Length")
src = input(close, title="Source")
matype = input(1, minval=1, maxval=5, title="AvgType")

simplema = security(syminfo.tickerid, timeframeInput, sma(src,length))
exponentialma = security(syminfo.tickerid, timeframeInput, ema(src,length))
hullma = security(syminfo.tickerid, timeframeInput, wma(2*wma(src, length/2)-wma(src, length), round(sqrt(length))))
weightedma = security(syminfo.tickerid, timeframeInput, wma(src, length))
volweightedma = security(syminfo.tickerid, timeframeInput, vwma(src, length))

avgval = matype==1 ? simplema : matype==2 ? exponentialma : matype==3 ? hullma : matype==4 ? weightedma : matype==5 ? volweightedma : na

distance=((close/avgval)-1)*100

Pcolor = distance > 0 ? color.green : color.red
// Pcolor = avgval > avgval[1] ? color.green : color.red

plot(distance,title='Color MA', color=Pcolor, linewidth=4)

ronniebrasco33907

⋅ 2023年1月2日早上7點34分

underrated

NSahraC

⋅ 2022年11月1日下午5點54分

thank you :)

aligafore112

⋅ 2022年4月16日下午5點37分

Tankyo

muddy7

⋅ 2021年2月16日晚上11點16分

thanks, can u add a midline at zero??