ucsgears

Stochastic Momentum Index _ UCSgears

The Stochastic Momentum Index (SMI) was introduced by William Blau in 1993 as a way to clarify the traditional stochastic oscillator. SMI helps you see where the current close has taken place relative to the midpoint of the recent high to low range is based on price change in relation to the range of the price. This is a range based indicator, when used right. It can help momentum changes.

For those looking for help understanding this -

http://wiki.timetotrade.eu/Stochastic_Mo...
http://www.tradingstrategyideas.com/entr...
https://tlc.thinkorswim.com/center/chart...
https://www.sierrachart.com/supportboard...

Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.

Want to use this script on a chart?
//Stochastic Momentum Index
//Code by UCSgears
study("UCS_Stochastic Momentum Index", shorttitle = "UCS_SMI", overlay=false)
a = input(5, "Percent K Length")
b = input(3, "Percent D Length")
// Range Calculation
ll = lowest (low, a)
hh = highest (high, a)
diff = hh - ll
rdiff = close - (hh+ll)/2
// Nested Moving Average for smoother curves
avgrel = ema(ema(rdiff,b),b)
avgdiff = ema(ema(diff,b),b)
// SMI calculations
SMI = avgdiff != 0 ? (avgrel/(avgdiff/2)*100) : 0
SMIsignal = ema(SMI,b)
//All PLOTS
plot(SMI, title = "Stochastic Momentum Index")
plot(SMIsignal, color= red, title = "SMI Signal Line")
plot(40, color = red, title = "Over Bought")
plot(-40, color = green, title = "Over Sold")
plot(0, color = blue, title = "Zero Line")
//END