One of the main reason I changed it is because, Slope calculation on transition period was not being computed properly. Because the Version 1, looks back the length assigned, and compute the slope based on two candle readings, could be 10 days apart or 50. That was misleading.
Therefore, I changed it to plot daily slope and Smooth it with an .
List of All my Indicators - https://www.tradingview.com/p/stocks/?so...
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.
// Created by UCSgears -- Version 2 // Simple linear regression slope - Good way see if the trend is accelarating or decelarating study(title="UCSGEARS - Linear Regression Slope", shorttitle="UCS-LRS", overlay=false) src = close //Input clen = input (defval = 50, minval = 1, title = "Curve Length") slen = input(defval=5, minval=1, title="Slope Length") glen = input(defval=13, minval=1, title="Signal Length") //Linear Regression Curve lrc = linreg(src, clen, 0) //Linear Regression Slope lrs = (lrc-lrc)/1 //Smooth Linear Regression Slope slrs = ema(lrs, slen) //Signal Linear Regression Slope alrs = sma(slrs, glen) //loalrs = sma(slrs, (glen*5)) uacce = lrs > alrs and lrs > 0 dacce = lrs < alrs and lrs < 0 scolor = uacce ? green : dacce ? red : blue plot(0, title = "Zero Line", color = gray) plot(slrs, color = scolor, title = "Linear Regression Slope", style = histogram, linewidth = 4) plot(alrs, color = gray, title = "Average Slope")