#Squeeze momentum indicator lazybear tos mod#
#Squeeze momentum indicator lazybear tos code#

# the probability was for a downward expansion of price. If there was a low volume high pivot near a squeeze # then a squeeze, the probability of an expansion in price upward was # If there was a high volume pivot within 3 or 4 bars of a low and # volume pivots being a bit more easily read. # it was right around 50/50 with some variance with price near high # Some years ago we ran some statistics on squeeze breakouts and # has been around long before Carter's version. # Squeeze was originated by John Bollinger and the Momentum Oscillator

#Squeeze momentum indicator lazybear tos code#

# This code precisely replicates TTM_Squeeze. # Added UI for separate Squeeze and Oscillator lenghts # Label is green when momentum is ascending, red when descending # Added Squeeze Label with directional color

#Squeeze momentum indicator lazybear tos mod#

# Momentum Squeeze and Volume Mod 08.17.18 , 'Extrcount : ' + Extrcount, Color.VIOLET) Įlse if ExtrSqueeze or originalSqueeze or preSqueeze , 'Originalcount : ' + originalcount, Color.ORANGE) , 'Precount : ' + precount, Color.BLACK) Squeezeline.SetPaintingStrategy(PaintingStrategy.POINTS) Squeezeline.AssignValueColor(if ExtrSqueeze then Color.VIOLET else if originalSqueeze then Color.ORANGE else if preSqueeze then Color.BLACK else Color.GREEN) Plot squeezeline = if IsNaN(close) then Double.NaN else 0 SignalUp.SetPaintingStrategy(PaintingStrategy.Arrow_Up) ĭef averageType = AverageType.EXPONENTIAL ĭef sDev = StDev(data = close, length = length) ĭef MidLineBB = MovingAverage(averageType, data = close, length = length) ĭef LowerBandBB = MidLineBB + -nDev * sDev ĭef UpperBandBB = MidLineBB + nDev * sDev ĭef shifthigh = factorhigh * MovingAverage(averageType, TrueRange(high, close, low), length) ĭef shiftMid = factormid * MovingAverage(averageType, TrueRange(high, close, low), length) ĭef shiftlow = factorlow * MovingAverage(averageType, TrueRange(high, close, low), length) ĭef average = MovingAverage(averageType, close, length) ĭef UpperBandKCLow = average + shiftlow ĭef LowerBandKCLow = average - shiftlow ĭef UpperBandKCMid = average + shiftMid ĭef LowerBandKCMid = average - shiftMid ĭef UpperBandKCHigh = average + shifthigh ĭef LowerBandKCHigh = average - shifthigh ĭef preSqueeze = LowerBandBB > LowerBandKCLow and UpperBandBB LowerBandKCMid and UpperBandBB LowerBandKCHigh and UpperBandBB < UpperBandKCHigh Plot signalUp = if(bullishCross, 0, Double.NAN) Plot bullishCross = Crosses(SAR, price, CrossingDirection.BELOW) SignalDown.AssignValueColor(Color.DOWNTICK) SignalDown.SetPaintingStrategy(PaintingStrategy.Arrow_Down) Plot signalDown = if(bearishCross, 0, Double.NAN) Plot bearishCross = Crosses(SAR, price, CrossingDirection.ABOVE) Plot MS2 = Average(Average(price, LongLength1) - Average(price, LongLength2), LongLength3) ĭef MS2Yellows = if (MS2 0 and PerB < 0 then color.GREEN else color.WHITE) ĭef SAR = ParabolicSAR(accelerationFactor = accelerationFactor, accelerationLimit = accelerationLimit) Plot MS = Average(Average(price, ShortLength1) - Average(price, ShortLength2), ShortLength3)

Optimal Short Sequence is the reverse of the above (histogram from dark green to light green, red squeeze indicators firing, and red arrow for bearish Parabolic SAR crossover). A green up arrow indicating the Parabolic Stop and Reverse has made a bullish crossover.Red Squeeze indicators firing indicating consolidation Bollinger Band compression and volatility increase.Histogram shift from light red to dark red with values increasing toward the index line, confirming a shift from distribution to accumulation.The chart label outlines the squeeze resolution in an attempt to predict the breakout direction of the squeeze. The green/red waves are Wave A of the Elliot Waves, and the yellow/blue waves are Wave C of the Elliot Waves. The green and red arrows are Parabolic SAR crossover indicators. The red squeeze indicator fires when the symbol’s Bollinger Bands are inside the symbol’s Keltner Channel. I'm not sure if it is already shared.īased on: TTM Squeeze (Bollinger Bands & Keltner Channels), Elliot Waves, & ParobolicSARĭescription: This study strives to emulate and optimize the TTM Squeeze study.