experiment with linear regression, the purpose was to catch break outs early, but it creates to much visual noise
same as version 0 but with added margin filter and signal to mark entrys
same as version 0 but with added margin filter and signal to mark entrys
study(title="[RS]Linear Regression Bands V1", shorttitle="[RS]LRB.V1", overlay=true) tf1 = input(0.125) smooth = input(4) prehh1 = nz(hh1[1], high) prell1 = nz(ll1[1], low) hh1 = close >= prehh1 ? high : prehh1 - sma(abs(change(high, 1)*tf1), smooth) ll1 = close <= prell1 ? low : prell1 + sma(abs(change(low, 1)*tf1), smooth) midline = avg(hh1, ll1) plot(midline, style=cross, color=black, linewidth=1) ph1 = plot(hh1, style=line, color=black, linewidth=1) pl1 = plot(ll1, style=line, color=black, linewidth=1) margin = input(30) * syminfo.mintick signalcolor = high-margin > hh1 ? maroon : low+margin < ll1 ? green : gray signal = high-margin > hh1 ? high+margin : low+margin < ll1 ? low-margin : na plot(signal, style=circles, color=signalcolor, linewidth=4)