YungTraderFromMontana
Well-known member
Does anyone have any cool momentum or volatility indicators to test that I've probably never heard of.
YungTrader's Ultimate Indicator
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T
Tostechnical
Guest
@YungTraderFromMontana
The DynamicMomentumIndex is pretty interesting, its basically an RSI with a length that adjusts depending on current price volatility. Longer lengths for low vol and shorter lengths for higher vol.
For a more classic momentum system the impulse system is still pretty good, although I use different EMA lengths. I backtested it on 20 years of daily price with a couple of different equities, and even though winrate is less than 50% it holds a positive expectancy. Its actually pretty comparable to an RSI Laguerre system
Prison Mike
Member
@YungTraderFromMontana
Seen this one?
May just be a BollingerBand study but it’s “different”
Seen this one?
May just be a BollingerBand study but it’s “different”
Code:
#Combo Williams Vix Fix (Twin version) to ToS
#
#CREDITS
# capissimo
#
#CHANGELOG
# 2020.04.22 1.0 @diazlaz - Initial Port/interpretation
#
#LINKS
# https://www.tradingview.com/script/tVtxISLu-combo-williams-vix-fix-twin-version/
#
#DESCRIPTION
#This is a very powerful Williams' Vix Fix indicator.
#My implementation of this wonderful indicator features both up and down movements.
#Both up & down flavors have two versions (fields tp and tp2, each having two values).
#
declare lower;
#INPUTS
input tp = 1; #VixFix UP [1,2]
input tp2 = 1; #VixFix DN [1,2]
input pd = 22; #LookBack Period Standard Deviation High/Low
input bbl = 20; #Bolinger Band Length
input mult = 2.0; #Bollinger Band Standard Deviation Up/Dn
input p = 60; #LookBack
input lb = 50; #Look Back Period Percentile High/Low
input ph = 0.85; #Highest Percentile
input pl = 1.01; #Lowest Percentile
input hp = yes; #Show High Range - Based on Percentile and LookBack Period
input sd = no; #Show Standard Deviation Line
input hp2 = no; #Show Low Range - Based on Percentile and LookBack Period
input sd2 = no; #Show Standard Deviation Line
script scaleMinimax {
input x = close;
input p = 5;
input Min = .01;
input Max = 1;
def hh = Highest(x, p);
def ll = Lowest(x, p);
plot data = (((Max - Min) * (x - ll)) / (hh - ll)) + Min;
}
#CORE
def prix = scaleMinimax(close, p, 0, 1);
def prixn = 1 - prix;
def neg = 1 - scaleMinimax(high, p, 0, 1);
def hi = scaleMinimax(high, p, 0, 1);
def lo = scaleMinimax(low, p, 0, 1);
def up1 = (Highest(prix, pd) - lo) / Highest(prix, pd);
def up2 = (Highest(prix, pd) - hi) / Highest(prix, pd);
def dn1 = (Highest(prixn, pd) - neg) / Highest(prixn, pd);
def dn2 = scaleMinimax((high - Lowest(close, pd)) / Lowest(close, pd), p, 0, 1);
def wvf = If(tp == 1, up1, up2);
def wvfr = If(tp2 == 1, dn1, dn2);
def sDev = mult * StDev(wvf, bbl);
def midLine = Average(wvf, bbl);
def lowerBand = midLine - sDev;
def upperBand = midLine + sDev;
def rangeHigh = (Highest(wvf, lb)) * ph;
def rangeLow = (Lowest(wvf, lb)) * pl;
def col = If (wvf >= upperBand or wvf >= rangeHigh, -100, 0);
def sDev2 = mult * StDev(wvfr, bbl);
def midLine2 = Average(wvfr, bbl);
def lowerBand2 = midLine2 - sDev2;
def upperBand2 = midLine2 + sDev2;
def rangeHigh2 = (Highest(wvfr, lb)) * ph;
def rangeLow2 = (Lowest(wvfr, lb)) * pl;
def col2 = If(wvfr >= upperBand2 or wvfr >= rangeHigh2, 100, 0);
#PLOTS
plot pwvfr1 = wvfr;
pwvfr1.SetPaintingStrategy(PaintingStrategy.HISTOGRAM);
pwvfr1.AssignValueColor(if wvfr >= upperBand2 or wvfr >= rangeHigh2 then Color.GREEN else Color.DARK_GRAY);
pwvfr1.SetLineWeight(4);
plot pwvfr2 = wvfr;
pwvfr2.SetLineWeight(1);
pwvfr2.SetDefaultColor(Color.BLACK);
plot pwvf1 = wvf;
pwvf1.SetPaintingStrategy(PaintingStrategy.HISTOGRAM);
pwvf1.AssignValueColor(if wvf >= upperBand or wvf >= rangeHigh then Color.RED else Color.DARK_GRAY);
pwvf1.SetLineWeight(4);
plot pwvf2 = wvfr;
pwvf2.SetLineWeight(1);
pwvf2.SetDefaultColor(Color.BLACK);
plot pRPH = if hp and rangeHigh then rangeHigh else Double.NaN; #Range High Percentile
pRPH.AssignValueColor(GetColor(7));
plot pRPL = if hp and rangeLow then rangeLow else Double.NaN; #Range Low Percentile
pRPL.AssignValueColor(GetColor(7));
plot pUpperBand = if sd and upperBand then upperBand else Double.NaN; #Upper Band
pUpperBand.AssignValueColor(GetColor(5));
plot pRPH2 = if hp2 and rangeHigh2 then rangeHigh2 else Double.NaN; #Range High Percentile
pRPH2.AssignValueColor(GetColor(5));
plot pRPL2 = if hp2 and rangeLow2 then rangeLow2 else Double.NaN; #Range Low Percentile
pRPL2.AssignValueColor(GetColor(5));
plot pUpperBand2 = if sd2 and upperBand2 then upperBand2 else Double.NaN; #Upper Band
pUpperBand2.AssignValueColor(GetColor(7));
#END of Combo Williams Vix Fix (Twin version) to ToSmmturner21
New member
Is there a way to change the length of the lines to that the go completely across the chart?
YungTraderFromMontana
Well-known member
@Prison Mike I've been looking at this, there's definitely something I can do with this thanks.
@Tostechnical This could also be great for confirmation, thanks for the suggestions everyone
@Tostechnical This could also be great for confirmation, thanks for the suggestions everyone
Last edited by a moderator:
YungTraderFromMontana
Well-known member
I made a new version using the suggested indicators. It's once again better then ever, I've taken large strides on optimizing it for the daily charts they are scannable. My biggest issue right now is getting it into a scan. This is because the whole thing is too complex so I'd need to make a separate scanning factor for every single different indicator that was used. This means dissecting the whole indicator and fitting it back together. It's extremely time consuming so I may not do it for a while. If anyone wants to take a crack at it for the sake of the community here is the newest version. Sorry if some plots are unitedly showing. These last few versions have been released amidst working on new things.
Although I think I hit somewhat of a wall on how much I can improve the indicator unless I add in factors that make the indicator look better after the fact, like candle body studies, but they don't really help you live unless you're sure that the candle will close with similar hloc.
Here is the code, my approach was going to be make one scan custom study for all support and resistance related variables, another for all gamma/he related variables, and one last one for tmo/dymi related variables. I think dymi and tmo can be packed into one because they are simpler.
Although I think I hit somewhat of a wall on how much I can improve the indicator unless I add in factors that make the indicator look better after the fact, like candle body studies, but they don't really help you live unless you're sure that the candle will close with similar hloc.
Here is the code, my approach was going to be make one scan custom study for all support and resistance related variables, another for all gamma/he related variables, and one last one for tmo/dymi related variables. I think dymi and tmo can be packed into one because they are simpler.
Code:
declare upper;
input ThresholdMult = 4;
input LookbackLength = 4;
input LookbackPeriod = 3;
input TimeFrame2 = {"15 MIN", "1 MIN", "2 MIN", "3 MIN", "4 MIN", "5 MIN", "10 MIN", "20 MIN", "30 MIN", "1 HOUR", "2 HOURS", "4 HOURS", DAY, "2 DAYS", "3 DAYS", "4 DAYS", default WEEK, MONTH, "OPT EXP"};
input TimeFrame3 = {"30 MIN", "1 MIN", "2 MIN", "3 MIN", "4 MIN", "5 MIN", "10 MIN", "15 MIN", "20 MIN", "1 HOUR", "2 HOURS", "4 HOURS", DAY, "2 DAYS", "3 DAYS", "4 DAYS", WEEK, default MONTH, "OPT EXP"};
input HideSwings = no;
input HideCurrentTF = no;
input HideTimeFrame2 = no;
input HideTimeFrame3 = no;
input conso = .02;
input outo = .01;
input length222 = 4;
input averageType4 = AverageType.WILDERS;
#TMO True Momentum Oscillator with Higher Aggregation _Mobius
#Tuesday, May 15, 2018 12:36 PM
## OneNote Archive Name: TMO True Momentum Oscillator with Higher Aggregation _Mobius
## Archive Section: Momentum
## Suggested Tos Name: TrueMomentumOscillator_w_HigherAggregation_Mobius
## Archive Date: 5.15.2018
## Archive Notes:
## 08:43 Mobius: Well give it a few days to get altered, muched, distorted and twisted. Then when it get back to being used as intended someone will start making money with it.
## 08:45 Mobius: Oh and in my view - It's highest and best use is as designed with a secondary aggregation plotted either on it or with it around 5 to 10 time higher.
## "##" indicates an addition or adjustment by the OneNote Archivist
## Original Code Follows
input lengthyuh = 10;
input calcLength = 5;
input smoothLength = 3;
input agg = AggregationPeriod.day;
def o = open(period = agg);
def cl = close(period = agg);
def data = fold i = 0 to lengthyuh
with s
do s + (if cl > getValue(o, i)
then 1
else if cl < getValue(o, i)
then - 1
else 0);
def EMA5 = ExpAverage(data, calcLength);
def Main = ExpAverage(EMA5, smoothLength);
def Signal = ExpAverage(Main, smoothLength);
def zero = if isNaN(cl) then double.nan else 0;
def BuyEntryyuh = 3;
def SellEntryyuh = 3;
def displacement = (main - signal) * 10;
def QByuh = Highest(displacement, BuyEntryyuh);
def QSyuh = Lowest(displacement, SellEntryyuh);
def midyuh = (qbyuh + qbyuh + Qsyuh)/3;
def middleyuh = (qbyuh + qsyuh + Qsyuh)/3;
input price = close;
input stdevLength = 5;
input avgOfStdevLength = 10;
input DYMILength = 8;
input DYMILengthLowerLimit = 3;
input DYMILengthUpperLimit = 30;
Assert(DYMILengthLowerLimit > 0, "'dymi length lower limit' must be positive: " + DYMILengthLowerLimit);
Assert(DYMILength between DYMILengthLowerLimit and DYMILengthUpperLimit, "'dymi length' must be between lower and upper limit: " + DYMILength);
def std = StDev(price, stdevLength);
def ratio = std / Average(std, avgOfStdevLength);
def dynamicLength = Floor(DYMILength / ratio);
def limitedLength = if dynamicLength < DYMILengthLowerLimit then DYMILengthLowerLimit else if dynamicLength > DYMILengthUpperLimit then DYMILengthUpperLimit else dynamicLength;
def sf = 2 / (limitedLength + 1);
def bn = Max(BarNumber(), 0);
# 10^-5 precision for ema multiplier
def expIndex = Max(1, bn - Ceil(-5 / Lg(1 - sf)));
def fromIndex = if IsNaN(expIndex) then 1 else expIndex;
def chg = price - price[1];
def absChg = AbsValue(chg);
def netChgAvg = fold indexN = fromIndex to bn + 1 with accuN do sf * (if IsNaN(GetValue(chg, bn - indexN)) then 0 else GetValue(chg, bn - indexN)) + (1 - sf) * accuN;
def totChgAvg = fold indexT = fromIndex to bn + 1 with accuT do sf * (if IsNaN(GetValue(absChg, bn - indexT)) then 0 else GetValue(absChg, bn - indexT)) + (1 - sf) * accuT;
def RSI = if totChgAvg == 0 then 50 else 50 * (netChgAvg / totChgAvg + 1);
def DYMI = RSI;
def OverBought = 20;
def OverSold = -20;
def d = 0;
def ATR = MovingAverage(averageType4, TrueRange(high / close, close / close, low / close) * 100, length222);
def BuyEntry5 = 15;
def SellEntry5 = 15;
def QB5 = Highest(ATR, BuyEntry5);
def QS5 = Lowest(ATR, SellEntry5);
def xxx = QB5[1];
def bbb = QS5[1];
def midline3 = (xxx + bbb) / 2;
def SwingsLagBar = 1;
def BuyEntry = 3;
def SellEntry = 3;
def QB = Highest(high, BuyEntry);
def QS = Lowest(low, SellEntry);
plot xx = QB[1];
plot bb = QS[1];
plot midline = (QB[1] + QS[1]) / 2;
def length = 1;
def displace = 0;
def price4 = close;
def SMA = Average(price4[-displace], length);
#--------------------------------------------------------------
def _highInPeriod1 = Highest(high, LookbackPeriod);
def _lowInPeriod1 = Lowest(low, LookbackPeriod);
#--------------------------------------------------------------
def marketLow1 = if _lowInPeriod1 < _lowInPeriod1[-LookbackPeriod] then _lowInPeriod1 else _lowInPeriod1[-LookbackPeriod];
def _markedLow1 = low == marketLow1;
rec _lastMarkedLow1 = CompoundValue(1, if IsNaN(_markedLow1) then _lastMarkedLow1[1] else if _markedLow1 then low else _lastMarkedLow1[1], low);
#--------------------------------------------------------------
def marketHigh1 = if _highInPeriod1 > _highInPeriod1[-LookbackPeriod] then _highInPeriod1 else _highInPeriod1[-LookbackPeriod];
def _markedHigh1 = high == marketHigh1;
rec _lastMarkedHigh1 = CompoundValue(1, if IsNaN(_markedHigh1) then _lastMarkedHigh1[1] else if _markedHigh1 then high else _lastMarkedHigh1[1], high);
#--------------------------------------------------------------
plot Resistance1 = _lastMarkedHigh1;
plot Support1 = _lastMarkedLow1;
#--------------------------------------------------------------
Resistance1.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Resistance1.SetDefaultColor(Color.MAGENTA);
Resistance1.SetHiding(HideCurrentTF);
#--------------------------------------------------------------
Support1.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Support1.SetDefaultColor(Color.YELLOW);
Support1.SetHiding(HideCurrentTF);
#--------------------------------------------------------------
def LowSwingForw = Lowest(low, SwingsLagBar)[-SwingsLagBar];
def LowSwingBack = Lowest(low, LookbackPeriod)[1];
def SwingLow = if low < LowSwingForw and low <= LowSwingBack then 1 else 0;
plot LowSwing = if SwingLow then low else Double.NaN;
LowSwing.Hide();
#--------------------------------------------------------------
def HighSwingForw = Highest(high, SwingsLagBar)[-SwingsLagBar];
def HighSwingBack = Highest(high, LookbackPeriod)[1];
def SwingHigh = if high > HighSwingForw and high >= HighSwingBack then 1 else 0;
plot HighSwing = if SwingHigh then high else Double.NaN;
HighSwing.Hide();
#--------------------------------------------------------------
HighSwing.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
HighSwing.SetLineWeight(5);
HighSwing.SetDefaultColor(Color.MAGENTA);
HighSwing.SetHiding(HideSwings);
LowSwing.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
LowSwing.SetLineWeight(5);
LowSwing.SetDefaultColor(Color.YELLOW);
LowSwing.SetHiding(HideSwings);
#--------------------------------------------------------------
Alert(HighSwing, "SupRes : Swing High", Alert.BAR, Sound.Bell);
Alert(LowSwing, "SupRes : Swing Low", Alert.BAR, Sound.Bell);
#--------------------------------------------------------------
AddLabel(HighSwing, "SupRes : Swing High", Color.MAGENTA);
AddLabel(LowSwing, "SupRes : Swing Low", Color.YELLOW);
#--------------------------------------------------------------
def _highInPeriod2 = Highest(high(period = TimeFrame2), LookbackPeriod);
def _lowInPeriod2 = Lowest(low(period = TimeFrame2), LookbackPeriod);
#--------------------------------------------------------------
def marketLow2 = if _lowInPeriod2 < _lowInPeriod2[-LookbackPeriod] then _lowInPeriod2 else _lowInPeriod2[-LookbackPeriod];
def _markedLow2 = low(period = TimeFrame2) == marketLow2;
rec _lastMarkedLow2 = CompoundValue(1, if IsNaN(_markedLow2) then _lastMarkedLow2[1] else if _markedLow2 then low(period = TimeFrame2) else _lastMarkedLow2[1], low(period = TimeFrame2));
#--------------------------------------------------------------
def marketHigh2 = if _highInPeriod2 > _highInPeriod2[-LookbackPeriod] then _highInPeriod2 else _highInPeriod2[-LookbackPeriod];
def _markedHigh2 = high(period = TimeFrame2) == marketHigh2;
rec _lastMarkedHigh2 = CompoundValue(1, if IsNaN(_markedHigh2) then _lastMarkedHigh2[1] else if _markedHigh2 then high(period = TimeFrame2) else _lastMarkedHigh2[1], high(period = TimeFrame2));
#--------------------------------------------------------------
plot Resistance2 = _lastMarkedHigh2;
Resistance2.Hide();
plot Support2 = _lastMarkedLow2;
Support2.Hide();
#--------------------------------------------------------------
Resistance2.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Resistance2.SetDefaultColor(Color.MAGENTA);
Resistance2.SetHiding(HideTimeFrame2);
#--------------------------------------------------------------
Support2.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Support2.SetDefaultColor(Color.YELLOW);
Support2.SetHiding(HideTimeFrame2);
#--------------------------------------------------------------
def _highInPeriod3 = Highest(high(period = TimeFrame3), LookbackPeriod);
def _lowInPeriod3 = Lowest(low(period = TimeFrame3), LookbackPeriod);
#--------------------------------------------------------------
def marketLow3 = if _lowInPeriod3 < _lowInPeriod3[-LookbackPeriod] then _lowInPeriod3 else _lowInPeriod3[-LookbackPeriod];
def _markedLow3 = low(period = TimeFrame3) == marketLow3;
rec _lastMarkedLow3 = CompoundValue(1, if IsNaN(_markedLow3) then _lastMarkedLow3[1] else if _markedLow3 then low(period = TimeFrame3) else _lastMarkedLow3[1], low(period = TimeFrame3));
#--------------------------------------------------------------
def marketHigh3 = if _highInPeriod3 > _highInPeriod3[-LookbackPeriod] then _highInPeriod3 else _highInPeriod3[-LookbackPeriod];
def _markedHigh3 = high(period = TimeFrame3) == marketHigh3;
rec _lastMarkedHigh3 = CompoundValue(1, if IsNaN(_markedHigh3) then _lastMarkedHigh3[1] else if _markedHigh3 then high(period = TimeFrame3) else _lastMarkedHigh3[1], high(period = TimeFrame3));
#--------------------------------------------------------------
plot Resistance3 = _lastMarkedHigh3;
Resistance3.Hide();
plot Support3 = _lastMarkedLow3;
Support3.Hide();
#--------------------------------------------------------------
Resistance3.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Resistance3.SetDefaultColor(Color.MAGENTA);
Resistance3.SetHiding(HideTimeFrame3);
#--------------------------------------------------------------
Support3.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
Support3.SetDefaultColor(Color.YELLOW);
Support3.SetHiding(HideTimeFrame3);
input nFE1 = 1;
input nfe2 = 2;
input nfe3 = 3;
input nfe4 = 4;
input nfe5 = 5;
input nfe6 = 6;
input nfe7 = 7;
input nfe8 = 8;
input nfe9 = 9;
input nfe10 = 10;
input nfe11 = 11;
input nfe12 = 12;
input nfe13 = 13;
input nfe14 = 14;
input nfe15 = 15;
input nfe16 = 16;
input nfe17 = 17;
input nfe18 = 18;
input nfe19 = 19;
input nfe20 = 20;
# Calculations
def gamma = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nFE1) /
(Highest(high, nFE1) - Lowest(low, nFE1)))
/ Log(nFE1);
def gamma2 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe2) /
(Highest(high, nfe2) - Lowest(low, nfe2)))
/ Log(nfe2);
def gamma3 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe3) /
(Highest(high, nfe3) - Lowest(low, nfe3)))
/ Log(nfe3);
def gamma4 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe4) /
(Highest(high, nfe4) - Lowest(low, nfe4)))
/ Log(nfe4);
def gamma5 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe5) /
(Highest(high, nfe5) - Lowest(low, nfe5)))
/ Log(nfe5);
def gamma6 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe6) /
(Highest(high, nfe6) - Lowest(low, nfe6)))
/ Log(nfe6);
def gamma7 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe7) /
(Highest(high, nfe7) - Lowest(low, nfe7)))
/ Log(nfe7);
def gamma8 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe8) /
(Highest(high, nfe8) - Lowest(low, nfe8)))
/ Log(nfe8);
def gamma9 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe9) /
(Highest(high, nfe9) - Lowest(low, nfe9)))
/ Log(nfe9);
def gamma10 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe10) /
(Highest(high, nfe10) - Lowest(low, nfe10)))
/ Log(nfe10);
def gamma11 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe11) /
(Highest(high, nfe11) - Lowest(low, nfe11)))
/ Log(nfe11);
def gamma12 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe12) /
(Highest(high, nfe12) - Lowest(low, nfe12)))
/ Log(nfe12);
def gamma13 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe13) /
(Highest(high, nfe13) - Lowest(low, nfe13)))
/ Log(nfe13);
def gamma14 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe14) /
(Highest(high, nfe14) - Lowest(low, nfe14)))
/ Log(nfe14);
def gamma15 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe15) /
(Highest(high, nfe15) - Lowest(low, nfe15)))
/ Log(nfe15);
def gamma16 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe16) /
(Highest(high, nfe16) - Lowest(low, nfe16)))
/ Log(nfe16);
def gamma17 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe17) /
(Highest(high, nfe17) - Lowest(low, nfe17)))
/ Log(nfe17);
def gamma18 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe18) /
(Highest(high, nfe18) - Lowest(low, nfe18)))
/ Log(nfe18);
def gamma19 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe19) /
(Highest(high, nfe19) - Lowest(low, nfe19)))
/ Log(nfe19);
def gamma20 = Log(Sum((Max(high, close[1]) - Min(low, close[1])), nfe20) /
(Highest(high, nfe20) - Lowest(low, nfe20)))
/ Log(nfe20);
def gammasector1 = (gamma2 + gamma3 + gamma4 + gamma5) / 4;
def gammasector2 = (gamma6 + gamma7 + gamma8 + gamma9 + gamma10) / 5;
def gammasector3 = (gamma11 + gamma12 + gamma13 + gamma14 + gamma15) / 5;
def gammasector4 = (gamma16 + gamma17 + gamma18 + gamma19 + gamma20) / 5;
def twoofthree3 = (gammasector2[1] > gammasector2) or (gammasector3[1] > gammasector3);
def twoofthree2 = (gammasector2[1] > gammasector2) and (gammasector4[1] > gammasector4);
def twoofthree = twoofthree3 or twoofthree2;
def feblast = gammasector1[1] > gammasector1 and gammasector2[1] > gammasector2 and gammasector3[1] > gammasector3 and gammasector4[1] > gammasector4;
def break3 = (gammasector1[1] > gammasector1) and (gammasector2[1] > gammasector2) and (gammasector3[1] > gammasector3) and (gammasector4[1] > gammasector4);
def lower_close1 = (close crosses below Support1[1]);
def higher_close1 = (close crosses above Resistance1[1]);
def lower_close2 = (close crosses below Support2[1]);
def higher_close2 = (close crosses above Resistance2[1]);
def lower_close3 = (close crosses below Support2[1]);
def higher_close3 = (close crosses above Resistance2[1]);
def x = (hl2 > xx);
def c = (close[1] < xx[1]);
def v = (close[2] < xx[2]);
def b = x and (c or v);
def y = (close > bb);
def w = (close[1] < bb[1]);
def e = (close[2] < bb[2]);
def r = y and (w or e);
def allbreakdown = lower_close1 or lower_close2 or lower_close3;
def allbreakup = (higher_close1 or higher_close2 or higher_close3);
input BuyEntry2 = 5;
input SellEntry2 = 5;
def QB2 = Highest(high, BuyEntry2);
def QS2 = Lowest(low, SellEntry2);
plot trueqb2 = QB2[1];
trueqb2.SetDefaultColor(GetColor(27));
plot trueqs2 = QS2[1];
trueqs2.SetDefaultColor(GetColor(27));
def ath = (((trueqb2 - trueqb2[10]) / 100) < .10);
def atl = (((trueqs2 - trueqs2[10]) / 100) >= -.10);
def length67 = 10;
def displace2 = 0;
def AvgExp = ExpAverage(close[-displace2], length67);
input length69 = 4;
def factor = .869;
input mode = {default Range, ATR};
def range;
switch (mode) {
case Range:
range = Highest(high, length69) - Lowest(low, length69);
case ATR:
range = reference ATR();
}
def RangeRatio = (range / range[length69]) / 20;
def RangeFactor = factor / 20;
def goodtrade = RangeRatio[1] < RangeFactor[1] and RangeRatio > RangeFactor;
def badhammer = (((high - close) < ((close + open) / 2) - low)) and (open > QB[1]);
plot comboupstrongstrongstrong = (high > QB[1]) and (c[1] < QB[2]) and (((high - QB[1]) / 100) < outo) and (((QB[1] - AvgExp) / 100) < conso) and (low < midline[1]);
plot comboupstrongstrong = (high > QB[1]) and (c[1] < QB[2]) and (((open - QB[1]) / 100) < outo) and (((QB[1] - AvgExp) / 100) < conso) and (open[1] or open[2] or open[3] < midline) and comboupstrongstrongstrong is false and (open < QB[1]) and (open[1] > QS[2]) and (close[1] < midline[2]);
plot comboupstrong = (high > QB[1]) and (close[1] < QB[2]) and (((open - QB[1]) / 100) < outo) and (((QB[1] - AvgExp) / 100) < conso) and comboupstrongstrongstrong is false and comboupstrongstrong is false and (high > open) and (low < midline) and (high > open);
def any = comboupstrong or comboupstrongstrong or comboupstrongstrongstrong;
def fg = (high - close) < ((close - open) * 2);
def fgbear = (close - low) < ((open - close) * 2);
def goodcandle = ((high - close) < (hl2 - low)) or (open > high[1]);
def goodsellcandle = (close - low) < (high - hl2);
def allfe = ((gammasector1 + gammasector2 + gammasector3 + gammasector4) / 4);
def length6969 = 5;
input length13 = 16;
input length1 = 4;
input length2 = 5;
input length3 = 6;
input length4 = 7;
input length5 = 8;
input length6 = 9;
input length7 = 10;
input length8 = 11;
input length9 = 12;
input length10 = 13;
input length11 = 14;
input length12 = 15;
input averageType = AverageType.EXPONENTIAL;
input lengthave = 2;
def ll = Lowest(low, length1);
def hh = Highest(high, length1);
def atr1 = MovingAverage(averageType, TrueRange(high, close, low), length1);
def tmp_H = (Log(hh - ll) - Log(atr1)) / (Log(length1));
def H;
if tmp_H > 1
then {
H = 1;
} else if tmp_H < 0 {
H = 0;
} else {
H = tmp_H;
}
def ll2 = Lowest(low, length2);
def hh2 = Highest(high, length2);
def atr2 = MovingAverage(averageType, TrueRange(high, close, low), length2);
def tmp_H2 = (Log(hh2 - ll2) - Log(atr2)) / (Log(length2));
def H2;
if tmp_H2 > 1
then {
H2 = 1;
} else if tmp_H2 < 0 {
H2 = 0;
} else {
H2 = tmp_H2;
}
def ll3 = Lowest(low, length3);
def hh3 = Highest(high, length3);
def atr3 = MovingAverage(averageType, TrueRange(high, close, low), length3);
def tmp_H3 = (Log(hh3 - ll3) - Log(atr3)) / (Log(length3));
def H3;
if tmp_H3 > 1
then {
H3 = 1;
} else if tmp_H3 < 0 {
H3 = 0;
} else {
H3 = tmp_H3;
}
def ll4 = Lowest(low, length4);
def hh4 = Highest(high, length4);
def atr4 = MovingAverage(averageType, TrueRange(high, close, low), length4);
def tmp_H4 = (Log(hh4 - ll4) - Log(atr4)) / (Log(length4));
def H4;
if tmp_H4 > 1
then {
H4 = 1;
} else if tmp_H4 < 0 {
H4 = 0;
} else {
H4 = tmp_H4;
}
def ll5 = Lowest(low, length5);
def hh5 = Highest(high, length5);
def atr5 = MovingAverage(averageType, TrueRange(high, close, low), length5);
def tmp_H5 = (Log(hh5 - ll5) - Log(atr5)) / (Log(length5));
def H5;
if tmp_H5 > 1
then {
H5 = 1;
} else if tmp_H5 < 0 {
H5 = 0;
} else {
H5 = tmp_H5;
}
def ll6 = Lowest(low, length6);
def hh6 = Highest(high, length6);
def atr6 = MovingAverage(averageType, TrueRange(high, close, low), length6);
def tmp_H6 = (Log(hh6 - ll6) - Log(atr6)) / (Log(length6));
def H6;
if tmp_H6 > 1
then {
H6 = 1;
} else if tmp_H6 < 0 {
H6 = 0;
} else {
H6 = tmp_H6;
}
def ll7 = Lowest(low, length7);
def hh7 = Highest(high, length7);
def atr7 = MovingAverage(averageType, TrueRange(high, close, low), length7);
def tmp_H7 = (Log(hh7 - ll7) - Log(atr7)) / (Log(length7));
def H7;
if tmp_H7 > 1
then {
H7 = 1;
} else if tmp_H7 < 0 {
H7 = 0;
} else {
H7 = tmp_H7;
}
def ll8 = Lowest(low, length8);
def hh8 = Highest(high, length8);
def atr8 = MovingAverage(averageType, TrueRange(high, close, low), length8);
def tmp_h8 = (Log(hh8 - ll8) - Log(atr8)) / (Log(length8));
def H8;
if tmp_h8 > 1
then {
H8 = 1;
} else if tmp_h8 < 0 {
H8 = 0;
} else {
H8 = tmp_h8;
}
def ll9 = Lowest(low, length9);
def hh9 = Highest(high, length9);
def atr9 = MovingAverage(averageType, TrueRange(high, close, low), length9);
def tmp_H9 = (Log(hh9 - ll9) - Log(atr9)) / (Log(length9));
def H9;
if tmp_H9 > 1
then {
H9 = 1;
} else if tmp_H9 < 0 {
H9 = 0;
} else {
H9 = tmp_H9;
}
def ll10 = Lowest(low, length10);
def hh10 = Highest(high, length10);
def atr10 = MovingAverage(averageType, TrueRange(high, close, low), length10);
def tmp_H10 = (Log(hh10 - ll10) - Log(atr10)) / (Log(length10));
def H10;
if tmp_H10 > 1
then {
H10 = 1;
} else if tmp_H10 < 0 {
H10 = 0;
} else {
H10 = tmp_H10;
}
def ll11 = Lowest(low, length11);
def hh11 = Highest(high, length11);
def atr11 = MovingAverage(averageType, TrueRange(high, close, low), length11);
def tmp_H11 = (Log(hh11 - ll11) - Log(atr11)) / (Log(length11));
def H11;
if tmp_H11 > 1
then {
H11 = 1;
} else if tmp_H11 < 0 {
H11 = 0;
} else {
H11 = tmp_H11;
}
def ll12 = Lowest(low, length12);
def hh12 = Highest(high, length12);
def atr12 = MovingAverage(averageType, TrueRange(high, close, low), length12);
def tmp_H12 = (Log(hh12 - ll12) - Log(atr12)) / (Log(length12));
def H12;
if tmp_H12 > 1
then {
H12 = 1;
} else if tmp_H12 < 0 {
H12 = 0;
} else {
H12 = tmp_H12;
}
def ll13 = Lowest(low, length13);
def hh13 = Highest(high, length13);
def atr13 = MovingAverage(averageType, TrueRange(high, close, low), length13);
def tmp_H13 = (Log(hh13 - ll13) - Log(atr13)) / (Log(length13));
def H13;
if tmp_H13 > 1
then {
H13 = 1;
} else if tmp_H13 < 0 {
H13 = 0;
} else {
H13 = tmp_H13;
}
plot gamma_max = Max(gamma4, Max(gamma5,
Max(gamma6, Max(gamma7, Max(gamma8, Max(gamma9, Max(gamma10,
Max(gamma11, Max(gamma12, Max(gamma13, Max(gamma14, gamma15)))))))))));
plot gamma_min = Min(gamma4, Min(gamma5,
Min(gamma6, Min(gamma7, Min(gamma8, Min(gamma9, Min(gamma10,
Min(gamma11, Min(gamma12, Min(gamma13, Min(gamma14, gamma15)))))))))));
def he_max = max(h, max(h2, max(h3,
max(h4, max(h5, max(h6, max(h7, max(h8,
max(h9, max(h10, max(h11, h12)))))))))));
def he_min = min(h, min(h2, min(h3,
min(h4, min(h5, min(h6, min(h7, min(h8,
min(h9, min(h10, min(h11, h12)))))))))));
def AverageOverRange = SImpleMovingAvg(price = (high[1] - low[1]), length = lookbackLength);
def CurrentRange = high - low;
plot tallCandle = if CurrentRange <= (AverageOverRange * ThresholdMult) then 1 else double.nan;
def f_prime = (gamma_min * -1) + 1;
def f_prime2 = (gamma_max * -1) + 1;
def bothlow = (he_min + f_prime2) / 2;
def bothup = (he_max + f_prime) / 2;
def displacement1 = (bothlow - bothlow[1]);
def displacement12 = bothup - bothup[1];
plot midline5 = (bothup + bothlow)/2;
plot vardisplacement = (bothup * (displacement1 ));
plot vardisplacement2 = (bothlow * (displacement12 ));
plot vardiv = (vardisplacement + vardisplacement2) / 2;
plot ni = .06769;
plot g = .716969;
plot buy = vardiv > .06969 or (bothup > g and vardiv > .016969);
def dymichange = dymi - dymi[3];
def buy2 = (dymichange > dymichange[3]) and (dymichange > 20 or dymi > 92.69);
def buy2alt = (dymichange < dymichange[3]) and (dymichange < -20 or dymi < 8);
def dif = (qbyuh - qsyuh) > 2;
def factoupinstant = displacement > 16 and displacement >= qbyuh;
def factoupinstantsell = displacement < -16 and displacement <= qsyuh;
def factoup = displacement > -5 and (displacement >= qbyuh or (displacement > 10 and displacement > midyuh)) and dif[1];
def factodown = displacement < 5 and (displacement <= qsyuh or (displacement < -10 and displacement < middleyuh)) and dif[1];
def decengtcand = if (close > open and (high - close > close - open) and (open - low < close - close)) then 1 else 0;
def decengtcand2 = if (close < open and (high - close > close - open)) then 1 else 0;
def breakups = ((allbreakup or (allbreakup[1]) or (allbreakup[2]) or allbreakup[3]));
def buys = (buy or buy[1] or buy[2] or buy[3] or buy2 or factoupinstant);
def buyssector = ((buy or buy[1] or buy[2] or buy[3]) and buy2);
def sellsector = ((buy or buy[1] or buy[2]) and buy2alt);
def breakdowns = ((allbreakdown or (allbreakdown[1]) or (allbreakdown[2])));
def sellbuy = (buy or buy[1] or buy[2] or buy2alt or factoupinstantsell);
plot goldenbuywfe = breakups and buys and (factoup or buyssector);
goldenbuywfe.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
goldenbuywfe.SetDefaultColor(GetColor(8));
plot goldenbuywfetest = ((allbreakup or allbreakup[1])) and (buy2);
plot goldenshort = breakdowns and sellbuy and (sellsector or factodown);
goldenshort.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);
goldenshort.SetDefaultColor(GetColor(39));do you get arrow for NKE?
T
Tostechnical
Guest
I am a bit confused sorry if this question was answered in a previous post. But on a daily chart with the current default settings wouldn't it repaint/redraw since it uses a timeframe higher than the current?
Looks like these were all good plays. Hope you made some money.
Are you guys using the scanner from post #528? And what time frame are you scanning? I just scanned using the defaults and didn't get any results. A little confused how everyone is using the scanner. Thanks!
YungTraderFromMontana
Well-known member
no that is just for the support and resistance and It doesn't repaint, you can change all timeframes in the s/r to one aggregation and see for yourself.
YungTraderFromMontana
Well-known member
YungTraderFromMontana
Well-known member
Did anyone get in on fb? Nice clean breakout yesterday continued to today.
Just curious your golden buy and sell are not as accurate on the study? Try not use them on shorter timeframe as you mentioned don't use the arrow in earlier post? Some of those arrow just occurs too many times on a trend on smaller timeframe. Thank you
Thanks. I'll mess around with it more after close.
Looking for INTC to tank eod and/or into tomorrow.
T
Tostechnical
Guest
skyler1101
New member
Can you post the latest scanner your using I copied the one previously posted in here but almost every single one that came across today for me ended up being a dud or had already ran I’m thinking maybe I have the old version
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