A trend, momentum and cycle Trading System v3.0 (CSA)

D

diazlaz

Well-known member
2019 Donor
VIP
Inspired by the work of the community here, this is the continuation of the CSA studies series.



The studies integrates and unifies a number of community studies and provides signals allowing the construction of trading strategies and the development of trading plans. It's community driven initiative. It includes studies such as TTM Trend, Super Trend, Frema, TMO, TOP, DMI , BOP, Slim Ribbon, ADX as Trending/Non-Trending, Super Trend w/CCI and ATR combo and a tri-fecta of CCI + TTM squeeze + TTM trend Combo with entry signals on LONG/SHORT/HOLD.
 
Last edited:
D

diazlaz

Well-known member
2019 Donor
VIP
Changelog and History

Code:
#CSA - trend, a momentum and a cycle based indicator for ThinkorSwim V3.2
#
#VERSION
# 2020.02.01 V3.2 @diazlaz - Added SWCA - Schaff Wave CrossOver Average 
# 2020.01.29 V3.1 @diazlaz - Added ADXPaintBarsMode 
#                            Integrated Derivative RSI Oscillator 
# 2020.01.29 V3.0 @diazlaz - Modules Restructured 3.0 Framework
#                            Improved ADX formula for Trend Detection 
#                            Integrated HeikinAshiCandles and HeikinAshiCandles MTF
#                            set aggregationPeriod to MTF aggregation (default 5 mins) 
#                            Integrated PaintBars MACD Neutral Condition trigger
#                            set enableNeutralMACDPainter to yes (default is no) and 
#                            neutral gray will be evaluated by MACD (Dark Red/Green)
#                            Integrated Super Trend w/CCI and ATR
#                            Integrated CCI + TTM squeeze + TTM trend Combo
#                            Set treshold defaults to 7 (7 out of 10), removed scanmode.
#                            Integrated Slim Ribbon.
#                            Integrated DMI and BOP, restructured INPUTS to each module.
#                            threshold increased to 4 by default.
#                            Integrated ADX Trending States and BAR Line
#                            Integrated TTM Trends, modules selection
#                            and added threshold for signals
#                            Integrated FREMA
#                            Labels, Additional Dashboard, Lower Study
 
Last edited:
D

diazlaz

Well-known member
2019 Donor
VIP
Lastest Release: V3.2 - Last Updated: February 1, 2020

Release Modules

  1. Module HA1 - Heikin Ashi Candles
  2. Module HAMTF - Heikin Ashi Candles MTF (Multiple Time Frame)
  3. Module TTM - TTM Trend Module
  4. Module ST1 - SuperTrend Module
  5. Module STHA - SuperTrend HA
  6. Module SL1 - SLIM Module
  7. Module TOP - TOP Module
  8. Module DMI - DMI Trend
  9. Module BOP - BOP Module
  10. Module STCCI - Super Trend w/CCI Module
  11. Module CTT - CCI + TTM squeeze + TTM trend Module
  12. Module DRSI - Derivative RSI Oscillator Module
  13. Module SWCA - Schaff Wave CrossOver Average

Ruby:
#CSA - trend, a momentum and a cycle based indicator for ThinkorSwim V3.2
#
#VERSION
# 2020.02.01 V3.2 @diazlaz - Added SWCA - Schaff Wave CrossOver Average
# 2020.01.29 V3.1 @diazlaz - Added ADXPaintBarsMode
#                            Integrated Derivative RSI Oscillator
# 2020.01.29 V3.0 @diazlaz - Modules Restructured 3.0 Framework
#                            Improved ADX formula for Trend Detection
#                            Integrated HeikinAshiCandles and HeikinAshiCandles MTF
#                            set aggregationPeriod to MTF aggregation (default 5 mins)
#                            Integrated PaintBars MACD Neutral Condition trigger
#                            set enableNeutralMACDPainter to yes (default is no) and
#                            neutral gray will be evaluated by MACD (Dark Red/Green)
#                            Integrated Super Trend w/CCI and ATR
#                            Integrated CCI + TTM squeeze + TTM trend Combo
#                            Set treshold defaults to 7 (7 out of 10), removed scanmode.
#                            Integrated Slim Ribbon.
#                            Integrated DMI and BOP, restructured INPUTS to each module.
#                            threshold increased to 4 by default.
#                            Integrated ADX Trending States and BAR Line
#                            Integrated TTM Trends, modules selection
#                            and added threshold for signals
#                            Integrated FREMA
#                            Labels, Additional Dashboard, Lower Study
#
#
#LINK
#https://usethinkscript.com/threads/a-trend-momentum-and-cycle-trading-system-v3-0-csa.1596/
#
#INSTRUCTION
#Here is how I envision the paintbar working:
#When the supertrend indicator is long that would equal +1, when its short -1.
#When the TMO is green that would equal +1. when its red its -1.
#When the TOP Cycle Trader is above zero that would equal +1, when its below zero -1.
#When all 3 indicators are equal to +1 making +3 total the price bars would paint #green.
#When all 3 indicators are equal to -1 making -3 total the price bars would paint red.
#If the combination of all 3 indicators equals anything else, the price bars would #paint gray meaning all 3 indicators were not in agreement.
#


declare upper;

#INPUTS
input showLabels = yes;
input PaintBars = yes;
input ADXPaintBarsMode = no;
input enableNeutralMACDPainter = no;
input aggregationPeriod = AggregationPeriod.FIVE_MIN;
input threshold = 7;

input displace = 0;

#CORE
DefineGlobalColor("CycleLineColor", Color.RED);
DefineGlobalColor("CyclehistColor", Color.BLUE);
DefineGlobalColor("ZeroLineColor", Color.YELLOW);
DefineGlobalColor("Bullish", Color.GREEN);
DefineGlobalColor("Bearish", Color.RED);
DefineGlobalColor("Neutral", Color.MAGENTA); #Color.YELLOW
DefineGlobalColor("Off", Color.DARK_GRAY);
DefineGlobalColor("On", Color.GREEN);
DefineGlobalColor("Sync1", Color.YELLOW);
DefineGlobalColor("Sync2", Color.CYAN);
DefineGlobalColor("Up", Color.GREEN);
DefineGlobalColor("Down", Color.RED);
DefineGlobalColor("NUp", Color.DARK_GREEN);
DefineGlobalColor("NDown", Color.DARK_RED);
DefineGlobalColor("Neutral", Color.BLUE);
DefineGlobalColor("Neutral2", Color.PLUM);

def h = high;
def l = low;
def o = open;
def c = close;
def hl = hl2;

def h1 = high(period = aggregationPeriod);
def l1 = low(period = aggregationPeriod);
def o1 = open(period = aggregationPeriod);
def c1 = close(period = aggregationPeriod);
def hl2 = hl2(period = aggregationPeriod);

def na = Double.NaN;

AddLabel(showLabels, "A trend, momentum and cycle Trading System v3.2", Color.CYAN);

####################################
##### START OF MODULES SECTION #####
####################################

#START OF HA1 - Heikin Ashi Candles Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableHA1 = yes; #Heikin Ashi Candles
def HA1_haopen;
def HA1_hahigh;
def HA1_halow;
def HA1_haclose;
def HA1_sState;
def HA1_sBullish;
def HA1_sBearish;
def HA1_sNeutral;

HA1_haopen = CompoundValue(1, (HA1_haopen[1] + HA1_haclose[1]) / 2, (o[1] + c[1]) / 2);
HA1_hahigh = Max(Max(h, HA1_haopen), HA1_haclose[1]);
HA1_halow = Min(Min(l, HA1_haopen), HA1_haclose[1]);
HA1_haclose = (o + h + l + c) / 4;
HA1_sState = if HA1_haclose > HA1_haopen then 100 else -100;
HA1_sBullish = if(enableHA1 and HA1_sState == 100,1,0);
HA1_sBearish = if(enableHA1 and HA1_sState == -100,1,0);
HA1_sNeutral = 0;

AddLabel(showlabels and enableHA1, "HA",
if IsNan(HA1_sState) then COLOR.DARK_GRAY else
if HA1_sState[-displace] > 0 then COLOR.GREEN else
if HA1_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF HA1 - Heikin Ashi Candles Module V1.0

#START OF HAMTF - Heikin Ashi Candles MTF Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
def HAMTF_haopen;
def HAMTF_hahigh;
def HAMTF_halow;
def HAMTF_haclose;
def HAMTF_sState;
def HAMTF_sBullish;
def HAMTF_sBearish;
def HAMTF_sNeutral;

input enableHAMTF = yes; #Heikin Ashi Candles MTF

HAMTF_haopen = CompoundValue(1, (HAMTF_haopen[1] + HAMTF_haclose[1]) / 2, (o1[1] + c1[1]) / 2);
HAMTF_hahigh = Max(Max(h1, HAMTF_haopen), HAMTF_haclose[1]);
HAMTF_halow = Min(Min(l1, HAMTF_haopen), HAMTF_haclose[1]);
HAMTF_haclose = (o1 + h1 + l1 + c1) / 4;
HAMTF_sState = if HAMTF_haclose > HAMTF_haopen then 100 else -100;
HAMTF_sBullish = if(enableHAMTF and HAMTF_sState == 100,1,0);
HAMTF_sBearish = if(enableHAMTF and HAMTF_sState == -100,1,0);
HAMTF_sNeutral = 0;
AddLabel(showlabels and enableHAMTF, "HA",
if IsNan(HAMTF_sState) then COLOR.DARK_GRAY else
if HAMTF_sState[-displace] > 0 then COLOR.GREEN else
if HAMTF_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF HAMTF - Heikin Ashi Candles MTF Module V1.0

#START OF TTM - TTM Trend Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableTTM = yes; #TTM Trend
def TTM_trendup;
def TTM_trenddown;
def TTM_sState;
def TTM_sBullish;
def TTM_sBearish;
def TTM_sNeutral;

TTM_trendup = if TTM_Trend().TrendUp == 1 then 1 else 0;
TTM_trenddown = if TTM_Trend().TrendDown == 1 then 1 else 0;
TTM_sState = if TTM_trendup then 100 else if TTM_trenddown then -100 else 0;
TTM_sBullish = if(enableTTM and TTM_sState == 100,1,0);
TTM_sBearish = if(enableTTM and TTM_sState == -100,1,0);
TTM_sNeutral = 0;
AddLabel(showlabels and enableTTM, "TTM", if IsNan(TTM_sState) then COLOR.DARK_GRAY else
if TTM_sState[-displace] > 0 then COLOR.GREEN else
if TTM_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF TTM - TTM Trend Module V1.0


#START OF ST1 - SuperTrend (Mobius) Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrend = yes; #ST1 - SuperTrend (Mobius)
input ST1_atrmult = 1.0; #SuperTrend
input ST1_natr = 4; #SuperTrend
input ST1_avgtype = AverageType.HULL; #SuperTrend

def ST1_atr = MovingAverage(ST1_avgtype, TrueRange(h, c, l), ST1_natr);
def ST1_up = hl + (ST1_atrmult * ST1_atr);
def ST1_dn = hl + (-ST1_atrmult * ST1_atr);
def ST1_st = if c < ST1_st[1] then ST1_up else ST1_dn;
def ST1_ssupertrend = if c < ST1_st then -100 else 100;
def ST1_sbullish = enableSuperTrend and ST1_ssupertrend == 100;
def ST1_sbearish = enableSuperTrend and ST1_ssupertrend == -100;
def ST1_sneutral = 0;
AddLabel(showlabels and enableSuperTrend, "SuperTrend", if IsNan(ST1_ssupertrend) then COLOR.DARK_GRAY else
if ST1_ssupertrend[-displace] > 0 then COLOR.GREEN else
if ST1_ssupertrend[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF ST1 - SuperTrend (Mobius) Module V1.0


#START OF STHA - SuperTrend HA (Mobius) Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrendHA = yes; #ST1 - SuperTrend HA (Mobius)
input STHA_atrmult = 1.0; #SuperTrend
input STHA_natr = 4; #SuperTrend
input STHA_avgtype = AverageType.HULL; #SuperTrend

def STHA_atr = MovingAverage(STHA_avgtype, TrueRange(ha1_hahigh, ha1_HAclose, ha1_HAlow), STHA_natr);
def STHA_up = HL + (STHA_atrmult * STHA_atr);
def STHA_dn = HL + (-STHA_atrmult * STHA_atr);
def STHA_st = if c < STHA_st[1] then STHA_up else STHA_dn;
def STHA_ssupertrend = if c < STHA_st then -100 else 100;
def STHA_sbullish = enableSuperTrendHA and STHA_ssupertrend == 100;
def STHA_sbearish = enableSuperTrendHA and STHA_ssupertrend == -100;
def STHA_sneutral = 0;
AddLabel(showlabels and enableSuperTrend, "SuperTrendHA", if IsNan(STHA_ssupertrend) then COLOR.DARK_GRAY else
if STHA_ssupertrend[-displace] > 0 then COLOR.GREEN else
if STHA_ssupertrend[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF STHA - SuperTrend HA (Mobius) Module V1.0


#START OF FRE - Frema Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableFrema = yes; #FREMA
input FRE_aa = .1; #FREMA

def FRE_cc;
def FRE_zeroline = 0;
def FRE_re1;
def FRE_re2;
def FRE_re3;
def FRE_re4;
def FRE_re5;
def FRE_re6;
def FRE_re7;
def FRE_re8;
def FRE_ema;
FRE_cc = if FRE_cc[1] == 0 then .9 else 1 – FRE_aa;
FRE_ema = FRE_aa * c + FRE_cc * FRE_ema[1];
FRE_re1 = FRE_cc * FRE_ema + FRE_ema[1];
FRE_re2 = Power(FRE_cc, 2) * FRE_re1 + FRE_re1[1];
FRE_re3 = Power(FRE_cc, 4) * FRE_re2 + FRE_re2[1];
FRE_re4 = Power(FRE_cc, 8) * FRE_re3 + FRE_re3[1];
FRE_re5 = Power(FRE_cc, 16) * FRE_re4 + FRE_re4[1];
FRE_re6 = Power(FRE_cc, 32) * FRE_re5 + FRE_re5[1];
FRE_re7 = Power(FRE_cc, 64) * FRE_re6 + FRE_re6[1];
FRE_re8 = Power(FRE_cc, 128) * FRE_re7 + FRE_re7[1];
def FRE_ema_signal = FRE_ema – FRE_aa * FRE_re8;
def FRE_sfrema = if (FRE_ema_signal > FRE_zeroline) then 100 else -100;
def FRE_sbullish = enableFrema and FRE_sfrema == 100;
def FRE_sbearish = enableFrema and FRE_sfrema == -100;
def FRE_sneutral = 0;

AddLabel(showlabels and enableFrema, "Frema", if IsNan(FRE_sfrema) then COLOR.DARK_GRAY else
if FRE_sfrema[-displace] > 0 then COLOR.GREEN else
if FRE_sfrema[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF FRE - Frema Module V1.0


#START OF TMO - TMO Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableTMO = yes; #TMO
input TMO_length = 14; #TMO
input TMO_calclength = 5; #TMO
input TMO_smoothlength = 3; #TMO

def TMO_data = fold i = 0 to TMO_length
        with s
        do s + (if c > getValue(o, i)
                then 1
                else if c < getValue(o, i)
                     then - 1
                     else 0);
def TMO_ema5 = ExpAverage(TMO_data, TMO_calclength);
def TMO_main = ExpAverage(TMO_ema5, TMO_smoothlength);
def TMO_signal = ExpAverage(TMO_main, TMO_smoothlength);
def TMO_smain = if TMO_main > TMO_signal then 100 else -100;
def TMO_ssignal = if TMO_main > TMO_signal then 100 else - 100;
def TMO_ob = if isNaN(c) then double.nan else round(TMO_length * .7);
def TMO_os = if isNaN(c) then double.nan else -round(TMO_length * .7);
def TMO_stmo = if TMO_main > TMO_signal then 100 else -100;
def TMO_sbullish = enableTMO and TMO_stmo == 100;
def TMO_sbearish = enableTMO and TMO_stmo == -100;
def TMO_sneutral = 0;

AddLabel(showlabels and enableTMO, "TMO", if IsNan(TMO_stmo) then COLOR.DARK_GRAY else
if TMO_stmo[-displace] > 0 then COLOR.GREEN else
if TMO_stmo[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF TMO - TMO Module V1.0


#START OF SL1 - SLIM Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSLIM = yes;
input SL1_ssuperfast = 8;
input SL1_sfast = 13;
input SL1_sslow = 21;

def SL1_superfast = ExpAverage(c[-displace], SL1_ssuperfast);
def SL1_fast = ExpAverage(c[-displace], SL1_sfast);
def SL1_slow = ExpAverage(c[-displace], SL1_sslow);
def SL1_buy = SL1_superfast > SL1_fast and SL1_fast > SL1_slow and l > SL1_superfast;
def SL1_stopbuy = SL1_superfast <= SL1_fast;
def SL1_buynow = !SL1_buy[1] and SL1_buy;
def SL1_buysignal = CompoundValue(1, if SL1_buynow and !SL1_stopbuy then 1
else if SL1_buysignal[1] == 1 and SL1_stopbuy then 0 else SL1_buysignal[1], 0);
def SL1_buy_signal = SL1_buysignal[1] == 0 and SL1_buysignal == 1;
def SL1_momentum_down = SL1_buysignal[1] == 1 and SL1_buysignal == 0;
def SL1_sell = SL1_superfast < SL1_fast and SL1_fast < SL1_slow and h < SL1_superfast;
def SL1_stopsell = SL1_superfast >= SL1_fast;
def SL1_sellnow = !SL1_sell[1] and SL1_sell;
def SL1_sellsignal = CompoundValue(1, if SL1_sellnow and !SL1_stopsell then 1
else if SL1_sellsignal[1] == 1 and SL1_stopsell then 0 else SL1_sellsignal[1], 0);
def SL1_sell_signal = SL1_sellsignal[1] == 0 and SL1_sellsignal;
def SL1_momentum_up = SL1_sellsignal[1] == 1 and SL1_sellsignal == 0;
def SL1_sstate = if SL1_buy_signal then 100 else if SL1_momentum_up then 10 else if SL1_sell_signal then -100 else if SL1_momentum_down then -10 else SL1_sstate[1];
def SL1_sbullish = enableSLIM and SL1_sstate == 100;
def SL1_sbearish = enableSLIM and SL1_sstate == -100;
def SL1_sneutral = 0;
AddLabel(showlabels and enableSLIM, "SLIM", if IsNan(SL1_sstate) then COLOR.DARK_GRAY else
if SL1_sstate[-displace] >= 100 then COLOR.GREEN else
if SL1_sstate[-displace] <= -100 then COLOR.RED
else COLOR.YELLOW);
#END OF SL1 - SLIM Module V1.0


#START OF TOP - TOP Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableTOP = yes; #TOP
input TOP_fastcyclelength = 5; #TOP
input TOP_slowcyclelength = 8; #TOP

def TOP_fastvar = ExpAverage((H + L) / 2, TOP_fastcyclelength);
def TOP_slowvar = Average((H + L) / 2, TOP_slowcyclelength);
def TOP_diffvar = TOP_fastvar - TOP_slowvar;
def TOP_pdiffvar = TOP_diffvar;
def TOP_pdiffvar2 = TOP_diffvar;
def TOP_stop = if TOP_diffvar > 0 then 100 else -100;
def TOP_sbullish = enableTOP and TOP_stop == 100;
def TOP_sbearish = enableTOP and TOP_stop == -100;
def TOP_sneutral = 0;
AddLabel(showlabels and enableTOP, "TOP", if IsNan(TOP_stop) then COLOR.DARK_GRAY else
if TOP_stop[-displace] > 0 then COLOR.GREEN else
if TOP_stop[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF TOP - TOP Module V1.0


#START OF DMI - DMI Trend Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableDMI = yes; #DMI Trend
input DMI_dmilength = 13;

def DMI_hidiff = h - h[1];
def DMI_lodiff = l[1] - l;
def DMI_plusdm = if DMI_hidiff > DMI_lodiff and DMI_hidiff > 0 then DMI_hidiff else 0;
def DMI_minusdm =  if DMI_lodiff > DMI_hidiff and DMI_lodiff > 0 then DMI_lodiff else 0;
def DMI_atrdmi = WildersAverage(TrueRange(h, c, l), DMI_dmilength);
Def DMI_diplus = 100 * WildersAverage(DMI_plusdm, DMI_dmilength) / DMI_atrdmi;
Def DMI_diminus = 100 * WildersAverage(DMI_minusdm, DMI_dmilength) / DMI_atrdmi;
def DMI_sdmi = if DMI_diplus > DMI_diminus then 100 else if DMI_diminus > DMI_diplus then -100 else 0;
def DMI_sbullish = enableDMI and DMI_sdmi == 100;
def DMI_sbearish = enableDMI and DMI_sdmi == -100;
def DMI_sneutral = 0;
AddLabel(showlabels and enableDMI, "DMI", if IsNan(DMI_sdmi) then COLOR.DARK_GRAY else
if DMI_sdmi[-displace] > 0 then COLOR.GREEN else
if DMI_sdmi[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF DMI - DMI Trend Module V1.0


#START OF BOP - BOP Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableBOP = yes; #BOP
input BOP_averagetype = {Simple, Exponential, default Weighted, Wilders, Hull,  Disabled};
input BOP_boplength = 16;

def BOP_rawbmp = if h != l then (c - o) / (h - l) else 1;
def BMP;
switch (BOP_averagetype) {
case Simple:
BMP = Average(BOP_rawbmp, BOP_boplength);
case Exponential:
BMP = ExpAverage(BOP_rawbmp, BOP_boplength);
case Weighted:
BMP = wma(BOP_rawbmp, BOP_boplength);
case Wilders:
BMP = WildersAverage(BOP_rawbmp, BOP_boplength);
case Hull:
BMP = HullMovingAvg(BOP_rawbmp, BOP_boplength);
case Disabled:
BMP = BOP_rawbmp;
}
def BOP_sbop = if BMP > 0 then 100 else -100;
def BOP_sbullish = enableBOP and BOP_sbop == 100;
def BOP_sbearish = enableBOP and BOP_sbop == -100;
def BOP_sneutral = 0;
AddLabel(showlabels and enableBOP, "BOP", if IsNan(BOP_sbop) then COLOR.DARK_GRAY else
if BOP_sbop[-displace] > 0 then COLOR.GREEN else
if BOP_sbop[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF BOP - BOP Module V1.0


#START OF STCCI - Super Trend w/CCI Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrendCCI = yes; #Super Trend w/CCI
input STCCI_lengthcci = 50;
input STCCI_lengthatr = 21;
input STCCI_atrfactor = 1.0;
def STCCI_pricedata = hl;
def STCCI_atrcci = Average(TrueRange(h, c, l), STCCI_lengthatr) * STCCI_atrfactor;
def STCCI_price = c + l + h;
def STCCI_lindev = lindev(STCCI_price, STCCI_lengthcci);
def STCCI_cci = if STCCI_lindev == 0
       then 0
       else (STCCI_price - Average(STCCI_price, STCCI_lengthcci)) / STCCI_lindev / 0.015;
def STCCI_mt1 = if STCCI_cci > 0
       then Max(STCCI_mt1[1], STCCI_pricedata - STCCI_atrcci)
       else Min(STCCI_mt1[1], STCCI_pricedata + STCCI_atrcci);
def STCCI_ssupertrendcci = if c < STCCI_mt1 and c < ST1_st then -100 else if C > STCCI_mt1 and c > ST1_st then 100 else 0;
def STCCI_sbullish = enableSuperTrendCCI and STCCI_ssupertrendcci == 100;
def STCCI_sbearish = enableSuperTrendCCI and STCCI_ssupertrendcci == -100;
def STCCI_sneutral = 0;
AddLabel(showlabels and enableSuperTrendCCI, "SuperTrendCCI", if IsNan(STCCI_ssupertrendcci) then COLOR.DARK_GRAY else
if STCCI_ssupertrendcci[-displace] > 0 then COLOR.GREEN else
if STCCI_ssupertrendcci[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF STCCI - Super Trend w/CCI Module V1.0


#START OF CTT - CCI + TTM squeeze + TTM trend Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableCCITTM = yes; #CCI + TTM squeeze + TTM trend
def CTT_ccibuy = CCI(length = 14).CCI > 0 and CCI(length = 50).CCI > 0;
def CTT_ccisell = CCI(length = 14).CCI < 0 and CCI(length = 50).CCI < 0;
def CTT_strendup = TTM_Trend().TrendUp;
def CTT_strenddn = TTM_Trend().TrendDown;
def CTT_squeezeup = TTM_Squeeze().Histogram >= 0;
def CTT_squeezedn = TTM_Squeeze().Histogram <= 0;
def CTT_buy = CTT_ccibuy and CTT_strendup and CTT_squeezeup;
def CTT_sell = CTT_ccisell and CTT_strenddn and CTT_squeezedn;
def CTT_sccittm = if CTT_buy then 100 else if CTT_sell then -100 else 0;
def CTT_sbullish = enableCCITTM and CTT_sccittm == 100;
def CTT_sbearish = enableCCITTM and CTT_sccittm == -100;
def CTT_sneutral = 0;
AddLabel(showlabels and enableCCITTM, "CCI+TTM", if IsNan(CTT_sccittm) then COLOR.DARK_GRAY else
if CTT_sccittm[-displace] > 0 then COLOR.GREEN else
if CTT_sccittm[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF CTT - CCI + TTM squeeze + TTM trend Module V1.0


#START OF DRSI - Derivative RSI Oscillator Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
# Derivative RSI Oscillator
# Can be used alone as a smoother RSI or as part of the Carting Wealth strategy when
# combined with the MACD and MAs Charting Wealth study.
# By Horserider 12/25/2019

#USAGE
#
#Derivative RSI Oscillator
input enableDRSI = yes; #Derivative RSI Oscillator
input DRSI_length = 14;
input DRSI_length1 = 5;
input DRSI_length2 = 3;
input DRSI_length3 = 9;
input DRSI_price = close;
input DRSI_averagetype = averagetype.EXPONENTIAL;
input DRSI_averagetype2 = averagetype.SIMPLE;

def DRSI_netchgavg = WildersAverage(DRSI_price - DRSI_price[1], DRSI_length);
def DRSI_totchgavg = WildersAverage(AbsValue(DRSI_price - DRSI_price[1]), DRSI_length);
def DRSI_chgratio = if DRSI_totchgavg != 0 then DRSI_netchgavg / DRSI_totchgavg else 0;

def DRSI_rsi = (50 * (DRSI_chgratio + 1) - 50);

def DRSI_x = MovingAverage(DRSI_averagetype,DRSI_rsi, DRSI_length1);
def DRSI_x2 = MovingAverage(DRSI_averagetype, DRSI_x, DRSI_length2);
def DRSI_xs = MovingAverage(DRSI_averagetype2, DRSI_x2 , DRSI_length3);
def DRSI_rsi__linediff = DRSI_x2 - DRSI_xs;
def DRSI_rsi_line = DRSI_rsi__linediff;
def DRSI_sstate = if DRSI_rsi_line >= 0 then if DRSI_rsi_line > DRSI_rsi_line[1] then 100 else 10 else if DRSI_rsi_line < DRSI_rsi_line[1] then -100 else -10;
def DRSI_sbullish = enableDRSI and DRSI_sstate > 0;
def DRSI_sbearish = enableDRSI and DRSI_sstate < 0;
def DRSI_sneutral = 0;
AddLabel(showlabels and enableDRSI, "DRSI", if IsNan(DRSI_sstate) then COLOR.DARK_GRAY else
if DRSI_sstate[-displace] > 0 then COLOR.GREEN else
if DRSI_sstate[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF DRSI - Derivative RSI Oscillator Module V1.0


#START OF SWCA - Schaff Wave CrossOver Average Module V1.0
#
#CHANGELOG
# 2020.02.01 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSWCA = yes;

input SWCA_fastlengthtrend = 48;
input SWCA_slowlengthtrend = 104;
input SWCA_kperiodtrend = 36;
input SWCA_dperiodtrend = 8;
input SWCA_averagetypetrend = AverageType.EXPONENTIAL;
input SWCA_fastlengthwave = 12;
input SWCA_slowlengthwave = 26;
input SWCA_kperiodwave = 9;
input SWCA_dperiodwave = 2;
input SWCA_averagetypewave = AverageType.EXPONENTIAL;

def SWCA_macdtrend = MovingAverage(SWCA_averagetypetrend, c, SWCA_fastlengthtrend) - MovingAverage(SWCA_averagetypetrend, c, SWCA_slowlengthtrend);
def SWCA_macdwave = MovingAverage(SWCA_averagetypewave, c, SWCA_fastlengthwave) - MovingAverage(SWCA_averagetypewave, c, SWCA_slowlengthwave);
def SWCA_fastk1trend = FastKCustom(SWCA_macdtrend, SWCA_kperiodtrend);
def SWCA_fastk1wave = FastKCustom(SWCA_macdwave, SWCA_kperiodwave);
def SWCA_fastd1trend = MovingAverage(SWCA_averagetypetrend, SWCA_fastk1trend, SWCA_dperiodtrend);
def SWCA_fastd1wave = MovingAverage(SWCA_averagetypewave, SWCA_fastk1wave, SWCA_dperiodwave);
def SWCA_fastk2trend = FastKCustom(SWCA_fastd1trend, SWCA_kperiodtrend);
def SWCA_fastk2wave = FastKCustom(SWCA_fastd1wave, SWCA_kperiodwave);
def SWCA_stctrend = MovingAverage(SWCA_averagetypetrend, SWCA_fastk2trend, SWCA_dperiodtrend);
def SWCA_stcwave = MovingAverage(SWCA_averagetypewave, SWCA_fastk2wave, SWCA_dperiodwave);

def SWCA_sstate = if SWCA_stctrend > SWCA_stcwave then 100 else -100;
def SWCA_sbullish = enableSWCA and SWCA_sstate == 100;
def SWCA_sbearish = enableSWCA and SWCA_sstate == -100;
def SWCA_sneutral = 0;
AddLabel(showlabels and enableSWCA, "SWCA", if IsNan(SWCA_sstate) then COLOR.DARK_GRAY else
if SWCA_sstate[-displace] > 0 then COLOR.GREEN else
if SWCA_sstate[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF SWCA - Schaff Wave CrossOver Average Module V1.0



###################################
#####  END OF MODULES SECTION #####
###################################

#ADX TRENDING
input ADXlength = 8; #ADX
input ADXTrending = 25; #ADX
input showADXBar = yes;
input DI_length = 8;

def DX = if (diplus(di_length) + diminus(di_length) > 0) then 100 * AbsValue(diplus(di_length) - diminus(di_length)) / (diplus(di_length) + diminus(di_length)) else 0;
def ADX = WildersAverage(DX, adxlength);

plot ADXCross = LowestAll(low);
ADXCross.SetPaintingStrategy(PaintingStrategy.LINE);
ADXCross.AssignValueColor(
    if ADX > ADXTrending then Color.LIME
    else Color.DARK_GRAY);
ADXCross.SetLineWeight(5);
ADXCross.SetHiding(!showADXBar);

#MACD Neutal Eval
input fastLength_1 = 12;
input slowLength_1 = 26;
input MACDLength_1 = 9;
input AverageType_1 = {SMA, default EMA};
def macd_Val_1 = MACD(fastLength_1, slowLength_1, MACDLength_1, AverageType_1).Value;
def macd_Avg1 = MACD(fastLength_1, slowLength_1, MACDLength_1, AverageType_1).Avg;
def MACD_trig = if MACD().value > MACD().avg then 1 else 0;

AddLabel(showlabels,
if ADX > ADXTrending then "Trending" else
"Non Trending",
if IsNan(c) then COLOR.DARK_GRAY else
if ADX > ADXTrending then COLOR.GREEN else
COLOR.DARK_GRAY);

AddLabel(showlabels,
"MACD",
if IsNan(c) then COLOR.DARK_GRAY else
if macd_Val_1 > macd_Avg1 then COLOR.DARK_GREEN else
COLOR.DARK_RED);


#STATE
def sResults = HA1_sState + HAMTF_sState + TTM_sState + ST1_ssupertrend + STHA_ssupertrend + FRE_sfrema + TMO_stmo + SL1_sstate + TOP_stop + DMI_sdmi + BOP_sbop
+ STCCI_ssupertrendcci + CTT_sccittm + DRSI_sstate + SWCA_sstate;

def sBullish = HA1_sBullish + HAMTF_sBullish + TTM_sBullish + ST1_sbullish + STHA_sbullish + FRE_sbullish + TMO_sbullish + SL1_sbullish + TOP_sbullish + DMI_sbullish + BOP_sbullish + STCCI_sbullish + CTT_sbullish + DRSI_sbullish + SWCA_sbullish;

def sBearish = HA1_sBearish + HAMTF_sBearish + TTM_sBearish + ST1_sbearish + STHA_sbearish + FRE_sbearish + TMO_sbearish + SL1_sbearish + TOP_sbearish + DMI_sbearish + BOP_sbearish + STCCI_sbearish + CTT_sbearish + DRSI_sbearish + SWCA_sbearish;

def bullish = if(sBullish >= threshold,1,0);
def bearish = if(sBearish >= threshold,1,0);
def sState = if bullish then 100 else if bearish then -100 else 0;
def sState2 = if sState != 0 then sState else sState2[1];

#COLORBARS
AssignPriceColor(
if PaintBars then
    if ADXPaintBarsMode then if ADX > ADXTrending then COLOR.ORANGE else COLOR.DARK_GRAY
    else
    if bullish then COLOR.GREEN else if bearish then COLOR.RED
     else
     if enableNeutralMACDPainter then
      if macd_Val_1 > macd_Avg1 then COLOR.DARK_GREEN else COLOR.DARK_RED
     else
    COLOR.GRAY
else COLOR.CURRENT);

AddLabel(showlabels,
if bullish[-displace] then "LONG" else
if bearish[-displace] then "SHORT"
else "HOLD",
if IsNan(c) then COLOR.DARK_GRAY else
if bullish[-displace] then COLOR.GREEN else
if bearish[-displace] then COLOR.RED
else COLOR.GRAY);

#END OF CSA - trend, a momentum and a cycle based indicator for ThinkorSwim V3.2
 
Last edited:
D

diazlaz

Well-known member
2019 Donor
VIP
Latest Scan Code (based on older V1.7 Release)

Ruby:
# Trend v1.7 Bullish Scan
# tomsk
# 1.4.2020

# tomsk: Here is a bullish scan of the Trend V1.7 study, based on the study that @diazlaz posted
# If you'd like to configure this as a bearish scan, just replace the plot statement with
#
# plot scan = sBearish >= threshold;
#
#
#trend, a momentum and a cycle based indicator for ThinkorSwim V1.7
#@hockeycoachdoug Community Request
#
# https://usethinkscript.com/threads/i-request-combining-3-indicators-into-1-paintbar-study.1390/page-3#post-13087
#
#VERSION
# 2020.01.04 V1.7 @diazlaz - Integrated Slim Ribbon.
# 2020.01.02 V1.6 @diazlaz - Integrated DMI and BOP, restructured INPUTS to each module.
#                            threshold increased to 4 by default.
# 2020.01.01 V1.5 @diazlaz - Integrated ADX Trending States and BAR Line
# 2020.01.01 V1.4 @diazlaz - Integrated TTM Trends, modules selection
#                            and added threshold for signals
# 2019.12.31 V1.2 @diazlaz - Integrated FREMA
# 2019.12.30 V1.1 @diazlaz - Labels, Additional Dashboard, Lower Study
# 2019.12.30 V1.0 @diazlaz - Community Ask/Release

input threshold = 8;

input enableTTM = yes;
input enableSuperTrend = yes;
input enableFrema = yes;
input enableTMO = yes;
input enableSlim = yes;
input enableTOP = yes;
input enableDMI = yes;
input enableBOP = yes;

input displace = 0;

def h = high;
def l = low;
def o = open;
def c = close;

# TTM Trend
def TrendUp = if TTM_Trend().TrendUp == 1 then 1 else 0;
def TrendDown = if TTM_Trend().TrendDown == 1 then 1 else 0;
def sBullish_TTM = enableTTM and TrendUp;
def sBearish_TTM = enableTTM and TrendDown;

# SuperTrend (Mobius)
input AtrMult = 1.0;
input nATR = 4;
input AvgType = AverageType.HULL;

def ATR = MovingAverage(AvgType, TrueRange(high, close, low), nATR);
def UP = HL2 + (AtrMult * ATR);
def DN = HL2 + (-AtrMult * ATR);
def ST = if close < ST[1] then UP else DN;
def sBullish_SuperTrend = enableSuperTrend and close >= ST;
def sBearish_SuperTrend = enableSuperTrend and close < ST;

# FREMA
input AA = .1;

def CC = if CC[1] == 0 then .9 else 1 – AA;
def EMA = AA * close + CC * EMA[1];
def RE1 = CC * EMA + EMA[1];
def RE2 = Power(CC, 2) * RE1 + RE1[1];
def RE3 = Power(CC, 4) * RE2 + RE2[1];
def RE4 = Power(CC, 8) * RE3 + RE3[1];
def RE5 = Power(CC, 16) * RE4 + RE4[1];
def RE6 = Power(CC, 32) * RE5 + RE5[1];
def RE7 = Power(CC, 64) * RE6 + RE6[1];
def RE8 = Power(CC, 128) * RE7 + RE7[1];
def EMA_Signal = EMA – AA * RE8;
def sBullish_Frema = enableFrema and EMA_Signal > 0;
def sBearish_Frema = enableFrema and EMA_Signal <= 0;

# TMO
input length = 14;
input calcLength = 5;
input smoothLength = 3;

def data = fold i = 0 to length
           with s
           do s + (if c > getValue(o, i)
                   then 1
                   else if c < getValue(o, i)
                        then - 1
                        else 0);
def EMA5 = ExpAverage(data, calcLength);
def Main = ExpAverage(EMA5, smoothLength);
def Signal = ExpAverage(Main, smoothLength);
def sBullish_TMO = enableTMO and Main > Signal;
def sBearish_TMO = enableTMO and Main <= Signal;

# SLIM
input sSuperFast = 8;
input sFast = 13;
input sSlow = 21;

def SuperFastM1 = ExpAverage(close[-displace], sSuperFast);
def FastM1 = ExpAverage(close[-displace], sFast);
def SlowM1 = ExpAverage(close[-displace], sSlow);
def buyM1 = SuperFastM1 > FastM1 and FastM1 > SlowM1 and low > SuperFastM1;
def stopbuyM1 = SuperFastM1 <= FastM1;
def buynowM1 = buyM1 and !buyM1[1];
def buysignalM1 = if buynowM1 and !stopbuyM1 then 1
                  else if buysignalM1[1] and stopbuyM1 then 0
                  else buysignalM1[1];
def Buy_SignalM1 = buysignalM1 and !buysignalM1[1];
def sellM1 = SuperFastM1 < FastM1 and FastM1 < SlowM1 and high < SuperFastM1;
def stopsellM1 = SuperFastM1 >= FastM1;
def sellnowM1 = sellM1 and !SellM1[1];
def sellsignalM1 = if sellnowM1 and !stopsellM1 then 1
                   else if sellsignalM1[1] and stopsellM1 then 0
                   else sellsignalM1[1];
def Sell_SignalM1 = sellsignalM1 and !sellsignalM1[1];
def sBullish_SLIM = enableSLIM and Buy_SignalM1;
def sBearish_SLIM = enableSLIM and Sell_SignalM1;

# TOP Cycle Trader
input FastCycleLength = 5;
input SlowCycleLength = 8;

def FastVar = ExpAverage((H + L) / 2, FastCycleLength);
def SlowVar = Average((H + L) / 2, SlowCycleLength);
def DiffVar = FastVar - SlowVar;
def sBullish_TOP = enableTOP and DiffVar > 0;
def sBearish_TOP = enableTOP and DiffVar <= 0;

# DMITrend
input DMIlength = 13;

def hiDiff = high - high[1];
def loDiff = low[1] - low;
def plusDM = if hiDiff > loDiff and hiDiff > 0 then hiDiff else 0;
def minusDM =  if loDiff > hiDiff and loDiff > 0 then loDiff else 0;
def ATRDMI = WildersAverage(TrueRange(high, close, low), DMIlength);
Def DIPlus = 100 * WildersAverage(plusDM, DMIlength) / ATRDMI;
Def DIMinus = 100 * WildersAverage(minusDM, DMIlength) / ATRDMI;
def sBullish_DMI = enableDMI and DIPlus > DIMinus;
def sBearish_DMI = enableDMI and DIMinus > DIPlus;

# BOP indicator
input averageType = {Simple, Exponential, default Weighted, Wilders, Hull,  Disabled};
input BoPlength = 16;

def rawBMP = if high != low then (close - open) / (high - low) else 1;
def BMP;
switch (averageType) {
case Simple:
    BMP = Average(rawBMP, BoPlength);
case Exponential:
    BMP = ExpAverage(rawBMP, BoPlength);
case Weighted:
    BMP = wma(rawBMP, BoPlength);
case Wilders:
    BMP = WildersAverage(rawBMP, BoPlength);
case Hull:
    BMP = HullMovingAvg(rawBMP, BoPlength);
case Disabled:
    BMP = rawBMP;
}
def sBullish_BOP = enableBOP and BMP > 0;
def sBearish_BOP = enableBOP and BMP <= 0;

# SCAN

def sBullish = sBullish_TTM + sBullish_SuperTrend + sBullish_Frema + sBullish_TMO + sBullish_TOP + sBullish_DMI + sBullish_BOP + sBullish_SLIM;
def sBearish = sBearish_TTM + sBearish_SuperTrend + sBearish_Frema + sBearish_TMO + sBearish_TOP + sBearish_DMI + sBearish_BOP + sBearish_SLIM;

plot scan = sBullish >= threshold;

# End Trend v1.7 Bullish Scan
 
Last edited:
D

diazlaz

Well-known member
2019 Donor
VIP
<reserved> for backlog and requests
 
D

diazlaz

Well-known member
2019 Donor
VIP
Modules

Last Updated: Febuary 1, 2020

Release Modules

  1. Module HA1 - Heikin Ashi Candles
  2. Module HAMTF - Heikin Ashi Candles MTF (Multiple Time Frame)
  3. Module TTM - TTM Trend Module
  4. Module ST1 - SuperTrend Module
  5. Module STHA - SuperTrend HA
  6. Module SL1 - SLIM Module
  7. Module TOP - TOP Module
  8. Module DMI - DMI Trend
  9. Module BOP - BOP Module
  10. Module STCCI - Super Trend w/CCI Module
  11. Module CTT - CCI + TTM squeeze + TTM trend Module
  12. Module DRSI - Derivative RSI Oscillator Module
  13. Module SWCA - Schaff Wave CrossOver Average
Heikin Ashi Combo (15 Min/1 HR) - Low Volatility Time Frame Setup




Module HA1 - Heikin Ashi Candles

Ruby:
#START OF Heikin Ashi Candles Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableHA1 = yes; #Heikin Ashi Candles
def HA1_haopen;
def HA1_hahigh;
def HA1_halow;
def HA1_haclose;
def HA1_sState;
def HA1_sBullish;
def HA1_sBearish;
def HA1_sNeutral;

HA1_haopen = CompoundValue(1, (HA1_haopen[1] + HA1_haclose[1]) / 2, (o[1] + c[1]) / 2);
HA1_hahigh = Max(Max(h, HA1_haopen), HA1_haclose[1]);
HA1_halow = Min(Min(l, HA1_haopen), HA1_haclose[1]);
HA1_haclose = (o + h + l + c) / 4;
HA1_sState = if HA1_haclose > HA1_haopen then 100 else -100;
HA1_sBullish = if(enableHA1 and HA1_sState == 100,1,0);
HA1_sBearish = if(enableHA1 and HA1_sState == -100,1,0);
HA1_sNeutral = 0;

AddLabel(showlabels and enableHA1, "HA",
if IsNan(HA1_sState) then COLOR.DARK_GRAY else
if HA1_sState[-displace] > 0 then COLOR.GREEN else
if HA1_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF Heikin Ashi Candles Module V1.0
Module HAMTF - Heikin Ashi Candles MTF (Multiple Time Frame)
Ruby:
#START OF Heikin Ashi Candles MTF Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
def HAMTF_haopen;
def HAMTF_hahigh;
def HAMTF_halow;
def HAMTF_haclose;
def HAMTF_sState;
def HAMTF_sBullish;
def HAMTF_sBearish;
def HAMTF_sNeutral;

input enableHAMTF = yes; #Heikin Ashi Candles MTF

HAMTF_haopen = CompoundValue(1, (HAMTF_haopen[1] + HAMTF_haclose[1]) / 2, (o1[1] + c1[1]) / 2);
HAMTF_hahigh = Max(Max(h1, HAMTF_haopen), HAMTF_haclose[1]);
HAMTF_halow = Min(Min(l1, HAMTF_haopen), HAMTF_haclose[1]);
HAMTF_haclose = (o1 + h1 + l1 + c1) / 4;
HAMTF_sState = if HAMTF_haclose > HAMTF_haopen then 100 else -100;
HAMTF_sBullish = if(enableHAMTF and HAMTF_sState == 100,1,0);
HAMTF_sBearish = if(enableHAMTF and HAMTF_sState == -100,1,0);
HAMTF_sNeutral = 0;
AddLabel(showlabels and enableHAMTF, "HA",
if IsNan(HAMTF_sState) then COLOR.DARK_GRAY else
if HAMTF_sState[-displace] > 0 then COLOR.GREEN else
if HAMTF_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF Heikin Ashi Candles MTF Module V1.0
Module TTM - TTM Trend Module
Ruby:
#START OF TTM Trend Module V1.0
#
#CHANGELOG
# 2020.01.26 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableTTM = yes; #TTM Trend
def TTM_trendup;
def TTM_trenddown;
def TTM_sState;
def TTM_sBullish;
def TTM_sBearish;
def TTM_sNeutral;

TTM_trendup = if TTM_Trend().TrendUp == 1 then 1 else 0;
TTM_trenddown = if TTM_Trend().TrendDown == 1 then 1 else 0;
TTM_sState = if TTM_trendup then 100 else if TTM_trenddown then -100 else 0;
TTM_sBullish = if(enableTTM and TTM_sState == 100,1,0);
TTM_sBearish = if(enableTTM and TTM_sState == -100,1,0);
TTM_sNeutral = 0;
AddLabel(showlabels and enableTTM, "TTM", if IsNan(TTM_sState) then COLOR.DARK_GRAY else
if TTM_sState[-displace] > 0 then COLOR.GREEN else
if TTM_sState[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);

#END OF TTM Trend Module V1.0

Module ST1 - SuperTrend Module
Ruby:
#START OF ST1 - SuperTrend (Mobius) Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrend = yes; #ST1 - SuperTrend (Mobius)
input ST1_atrmult = 1.0; #SuperTrend
input ST1_natr = 4; #SuperTrend
input ST1_avgtype = AverageType.HULL; #SuperTrend

def ST1_atr = MovingAverage(ST1_avgtype, TrueRange(h, c, l), ST1_natr);
def ST1_up = hl + (ST1_atrmult * ST1_atr);
def ST1_dn = hl + (-ST1_atrmult * ST1_atr);
def ST1_st = if c < ST1_st[1] then ST1_up else ST1_dn;
def ST1_ssupertrend = if c < ST1_st then -100 else 100;
def ST1_sbullish = enableSuperTrend and ST1_ssupertrend == 100;
def ST1_sbearish = enableSuperTrend and ST1_ssupertrend == -100;
def ST1_sneutral = 0;
AddLabel(showlabels and enableSuperTrend, "SuperTrend", if IsNan(ST1_ssupertrend) then COLOR.DARK_GRAY else
if ST1_ssupertrend[-displace] > 0 then COLOR.GREEN else
if ST1_ssupertrend[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF ST1 - SuperTrend (Mobius) Module V1.0
Module STHA - SuperTrend HA Module
Ruby:
#START OF STHA - SuperTrend HA (Mobius) Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrendHA = yes; #ST1 - SuperTrend HA (Mobius)
input STHA_atrmult = 1.0; #SuperTrend
input STHA_natr = 4; #SuperTrend
input STHA_avgtype = AverageType.HULL; #SuperTrend

def STHA_atr = MovingAverage(STHA_avgtype, TrueRange(ha1_hahigh, ha1_HAclose, ha1_HAlow), STHA_natr);
def STHA_up = HL + (STHA_atrmult * STHA_atr);
def STHA_dn = HL + (-STHA_atrmult * STHA_atr);
def STHA_st = if c < STHA_st[1] then STHA_up else STHA_dn;
def STHA_ssupertrend = if c < STHA_st then -100 else 100;
def STHA_sbullish = enableSuperTrendHA and STHA_ssupertrend == 100;
def STHA_sbearish = enableSuperTrendHA and STHA_ssupertrend == -100;
def STHA_sneutral = 0;
AddLabel(showlabels and enableSuperTrend, "SuperTrendHA", if IsNan(STHA_ssupertrend) then COLOR.DARK_GRAY else
if STHA_ssupertrend[-displace] > 0 then COLOR.GREEN else
if STHA_ssupertrend[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF STHA - SuperTrend HA (Mobius) Module V1.0
Module SL1 - SLIM Module
Ruby:
#START OF SL1 - SLIM Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSLIM = yes;
input SL1_ssuperfast = 8;
input SL1_sfast = 13;
input SL1_sslow = 21;

def SL1_superfast = ExpAverage(c[-displace], SL1_ssuperfast);
def SL1_fast = ExpAverage(c[-displace], SL1_sfast);
def SL1_slow = ExpAverage(c[-displace], SL1_sslow);
def SL1_buy = SL1_superfast > SL1_fast and SL1_fast > SL1_slow and l > SL1_superfast;
def SL1_stopbuy = SL1_superfast <= SL1_fast;
def SL1_buynow = !SL1_buy[1] and SL1_buy;
def SL1_buysignal = CompoundValue(1, if SL1_buynow and !SL1_stopbuy then 1
else if SL1_buysignal[1] == 1 and SL1_stopbuy then 0 else SL1_buysignal[1], 0);
def SL1_buy_signal = SL1_buysignal[1] == 0 and SL1_buysignal == 1;
def SL1_momentum_down = SL1_buysignal[1] == 1 and SL1_buysignal == 0;
def SL1_sell = SL1_superfast < SL1_fast and SL1_fast < SL1_slow and h < SL1_superfast;
def SL1_stopsell = SL1_superfast >= SL1_fast;
def SL1_sellnow = !SL1_sell[1] and SL1_sell;
def SL1_sellsignal = CompoundValue(1, if SL1_sellnow and !SL1_stopsell then 1
else if SL1_sellsignal[1] == 1 and SL1_stopsell then 0 else SL1_sellsignal[1], 0);
def SL1_sell_signal = SL1_sellsignal[1] == 0 and SL1_sellsignal;
def SL1_momentum_up = SL1_sellsignal[1] == 1 and SL1_sellsignal == 0;
def SL1_sstate = if SL1_buy_signal then 100 else if SL1_momentum_up then 10 else if SL1_sell_signal then -100 else if SL1_momentum_down then -10 else SL1_sstate[1];
def SL1_sbullish = enableSLIM and SL1_sstate == 100;
def SL1_sbearish = enableSLIM and SL1_sstate == -100;
def SL1_sneutral = 0;
AddLabel(showlabels and enableSLIM, "SLIM", if IsNan(SL1_sstate) then COLOR.DARK_GRAY else
if SL1_sstate[-displace] >= 100 then COLOR.GREEN else
if SL1_sstate[-displace] <= -100 then COLOR.RED
else COLOR.YELLOW);
#END OF SL1 - SLIM Module V1.0
Module TOP - TOP Module
Ruby:
#START OF TOP - TOP Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableTOP = yes; #TOP
input TOP_fastcyclelength = 5; #TOP
input TOP_slowcyclelength = 8; #TOP

def TOP_fastvar = ExpAverage((H + L) / 2, TOP_fastcyclelength);
def TOP_slowvar = Average((H + L) / 2, TOP_slowcyclelength);
def TOP_diffvar = TOP_fastvar - TOP_slowvar;
def TOP_pdiffvar = TOP_diffvar;
def TOP_pdiffvar2 = TOP_diffvar;
def TOP_stop = if TOP_diffvar > 0 then 100 else -100;
def TOP_sbullish = enableTOP and TOP_stop == 100;
def TOP_sbearish = enableTOP and TOP_stop == -100;
def TOP_sneutral = 0;
AddLabel(showlabels and enableTOP, "TOP", if IsNan(TOP_stop) then COLOR.DARK_GRAY else
if TOP_stop[-displace] > 0 then COLOR.GREEN else
if TOP_stop[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF TOP - TOP Module V1.0
Module DMI - DMI Trend
Ruby:
#START OF DMI - DMI Trend Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableDMI = yes; #DMI Trend
input DMI_dmilength = 13;

def DMI_hidiff = h - h[1];
def DMI_lodiff = l[1] - l;
def DMI_plusdm = if DMI_hidiff > DMI_lodiff and DMI_hidiff > 0 then DMI_hidiff else 0;
def DMI_minusdm =  if DMI_lodiff > DMI_hidiff and DMI_lodiff > 0 then DMI_lodiff else 0;
def DMI_atrdmi = WildersAverage(TrueRange(h, c, l), DMI_dmilength);
Def DMI_diplus = 100 * WildersAverage(DMI_plusdm, DMI_dmilength) / DMI_atrdmi;
Def DMI_diminus = 100 * WildersAverage(DMI_minusdm, DMI_dmilength) / DMI_atrdmi;
def DMI_sdmi = if DMI_diplus > DMI_diminus then 100 else if DMI_diminus > DMI_diplus then -100 else 0;
def DMI_sbullish = enableDMI and DMI_sdmi == 100;
def DMI_sbearish = enableDMI and DMI_sdmi == -100;
def DMI_sneutral = 0;
AddLabel(showlabels and enableDMI, "DMI", if IsNan(DMI_sdmi) then COLOR.DARK_GRAY else
if DMI_sdmi[-displace] > 0 then COLOR.GREEN else
if DMI_sdmi[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF DMI - DMI Trend Module V1.0
Module BOP - BOP Module
Ruby:
#START OF BOP - BOP Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableBOP = yes; #BOP
input BOP_averagetype = {Simple, Exponential, default Weighted, Wilders, Hull,  Disabled};
input BOP_boplength = 16;

def BOP_rawbmp = if h != l then (c - o) / (h - l) else 1;
def BMP;
switch (BOP_averagetype) {
case Simple:
BMP = Average(BOP_rawbmp, BOP_boplength);
case Exponential:
BMP = ExpAverage(BOP_rawbmp, BOP_boplength);
case Weighted:
BMP = wma(BOP_rawbmp, BOP_boplength);
case Wilders:
BMP = WildersAverage(BOP_rawbmp, BOP_boplength);
case Hull:
BMP = HullMovingAvg(BOP_rawbmp, BOP_boplength);
case Disabled:
BMP = BOP_rawbmp;
}
def BOP_sbop = if BMP > 0 then 100 else -100;
def BOP_sbullish = enableBOP and BOP_sbop == 100;
def BOP_sbearish = enableBOP and BOP_sbop == -100;
def BOP_sneutral = 0;
AddLabel(showlabels and enableBOP, "BOP", if IsNan(BOP_sbop) then COLOR.DARK_GRAY else
if BOP_sbop[-displace] > 0 then COLOR.GREEN else
if BOP_sbop[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF BOP - BOP Module V1.0
Module STCCI - Super Trend w/CCI Module
Ruby:
#START OF STCCI - Super Trend w/CCI Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSuperTrendCCI = yes; #Super Trend w/CCI
input STCCI_lengthcci = 50;
input STCCI_lengthatr = 21;
input STCCI_atrfactor = 1.0;
def STCCI_pricedata = hl;
def STCCI_atrcci = Average(TrueRange(h, c, l), STCCI_lengthatr) * STCCI_atrfactor;
def STCCI_price = c + l + h;
def STCCI_lindev = lindev(STCCI_price, STCCI_lengthcci);
def STCCI_cci = if STCCI_lindev == 0
       then 0
       else (STCCI_price - Average(STCCI_price, STCCI_lengthcci)) / STCCI_lindev / 0.015;
def STCCI_mt1 = if STCCI_cci > 0
       then Max(STCCI_mt1[1], STCCI_pricedata - STCCI_atrcci)
       else Min(STCCI_mt1[1], STCCI_pricedata + STCCI_atrcci);
def STCCI_ssupertrendcci = if c < STCCI_mt1 and c < ST1_st then -100 else if C > STCCI_mt1 and c > ST1_st then 100 else 0;
def STCCI_sbullish = enableSuperTrendCCI and STCCI_ssupertrendcci == 100;
def STCCI_sbearish = enableSuperTrendCCI and STCCI_ssupertrendcci == -100;
def STCCI_sneutral = 0;
AddLabel(showlabels and enableSuperTrendCCI, "SuperTrendCCI", if IsNan(STCCI_ssupertrendcci) then COLOR.DARK_GRAY else
if STCCI_ssupertrendcci[-displace] > 0 then COLOR.GREEN else
if STCCI_ssupertrendcci[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF STCCI - Super Trend w/CCI Module V1.0
Module CTT - CCI + TTM squeeze + TTM trend Module
Ruby:
#START OF CTT - CCI + TTM squeeze + TTM trend Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableCCITTM = yes; #CCI + TTM squeeze + TTM trend
def CTT_ccibuy = CCI(length = 14).CCI > 0 and CCI(length = 50).CCI > 0;
def CTT_ccisell = CCI(length = 14).CCI < 0 and CCI(length = 50).CCI < 0;
def CTT_strendup = TTM_Trend().TrendUp;
def CTT_strenddn = TTM_Trend().TrendDown;
def CTT_squeezeup = TTM_Squeeze().Histogram >= 0;
def CTT_squeezedn = TTM_Squeeze().Histogram <= 0;
def CTT_buy = CTT_ccibuy and CTT_strendup and CTT_squeezeup;
def CTT_sell = CTT_ccisell and CTT_strenddn and CTT_squeezedn;
def CTT_sccittm = if CTT_buy then 100 else if CTT_sell then -100 else 0;
def CTT_sbullish = enableCCITTM and CTT_sccittm == 100;
def CTT_sbearish = enableCCITTM and CTT_sccittm == -100;
def CTT_sneutral = 0;
AddLabel(showlabels and enableCCITTM, "CCI+TTM", if IsNan(CTT_sccittm) then COLOR.DARK_GRAY else
if CTT_sccittm[-displace] > 0 then COLOR.GREEN else
if CTT_sccittm[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF CTT - CCI + TTM squeeze + TTM trend Module V1.0
Module DRSI - Derivative RSI Oscillator Module
Ruby:
#START OF DRSI - Derivative RSI Oscillator Module V1.0
#
#CHANGELOG
# 2020.01.29 V1.0 @diazlaz Initial Module Release
#
#CREDITS
# Derivative RSI Oscillator
# Can be used alone as a smoother RSI or as part of the Carting Wealth strategy when
# combined with the MACD and MAs Charting Wealth study.
# By Horserider 12/25/2019

#USAGE
#
#Derivative RSI Oscillator
input enableDRSI = yes; #Derivative RSI Oscillator
input DRSI_length = 14;
input DRSI_length1 = 5;
input DRSI_length2 = 3;
input DRSI_length3 = 9;
input DRSI_price = close;
input DRSI_averagetype = averagetype.EXPONENTIAL;
input DRSI_averagetype2 = averagetype.SIMPLE;

def DRSI_netchgavg = WildersAverage(DRSI_price - DRSI_price[1], DRSI_length);
def DRSI_totchgavg = WildersAverage(AbsValue(DRSI_price - DRSI_price[1]), DRSI_length);
def DRSI_chgratio = if DRSI_totchgavg != 0 then DRSI_netchgavg / DRSI_totchgavg else 0;

def DRSI_rsi = (50 * (DRSI_chgratio + 1) - 50);

def DRSI_x = MovingAverage(DRSI_averagetype,DRSI_rsi, DRSI_length1);
def DRSI_x2 = MovingAverage(DRSI_averagetype, DRSI_x, DRSI_length2);
def DRSI_xs = MovingAverage(DRSI_averagetype2, DRSI_x2 , DRSI_length3);
def DRSI_rsi__linediff = DRSI_x2 - DRSI_xs;
def DRSI_rsi_line = DRSI_rsi__linediff;
def DRSI_sstate = if DRSI_rsi_line >= 0 then if DRSI_rsi_line > DRSI_rsi_line[1] then 100 else 10 else if DRSI_rsi_line < DRSI_rsi_line[1] then -100 else -10;
def DRSI_sbullish = enableDRSI and DRSI_sstate > 0;
def DRSI_sbearish = enableDRSI and DRSI_sstate < 0;
def DRSI_sneutral = 0;
AddLabel(showlabels and enableDRSI, "DRSI", if IsNan(DRSI_sstate) then COLOR.DARK_GRAY else
if DRSI_sstate[-displace] > 0 then COLOR.GREEN else
if DRSI_sstate[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF DRSI - Derivative RSI Oscillator Module V1.0
Module SWCA - Schaff Wave CrossOver Average
Ruby:
#START OF SWCA - Schaff Wave CrossOver Average Module V1.0
#
#CHANGELOG
# 2020.02.01 V1.0 @diazlaz Initial Module Release
#
#CREDITS
#
#USAGE
#
input enableSWCA = yes;

input SWCA_fastlengthtrend = 48;
input SWCA_slowlengthtrend = 104;
input SWCA_kperiodtrend = 36;
input SWCA_dperiodtrend = 8;
input SWCA_averagetypetrend = AverageType.EXPONENTIAL;
input SWCA_fastlengthwave = 12;
input SWCA_slowlengthwave = 26;
input SWCA_kperiodwave = 9;
input SWCA_dperiodwave = 2;
input SWCA_averagetypewave = AverageType.EXPONENTIAL;

def SWCA_macdtrend = MovingAverage(SWCA_averagetypetrend, c, SWCA_fastlengthtrend) - MovingAverage(SWCA_averagetypetrend, c, SWCA_slowlengthtrend);
def SWCA_macdwave = MovingAverage(SWCA_averagetypewave, c, SWCA_fastlengthwave) - MovingAverage(SWCA_averagetypewave, c, SWCA_slowlengthwave);
def SWCA_fastk1trend = FastKCustom(SWCA_macdtrend, SWCA_kperiodtrend);
def SWCA_fastk1wave = FastKCustom(SWCA_macdwave, SWCA_kperiodwave);
def SWCA_fastd1trend = MovingAverage(SWCA_averagetypetrend, SWCA_fastk1trend, SWCA_dperiodtrend);
def SWCA_fastd1wave = MovingAverage(SWCA_averagetypewave, SWCA_fastk1wave, SWCA_dperiodwave);
def SWCA_fastk2trend = FastKCustom(SWCA_fastd1trend, SWCA_kperiodtrend);
def SWCA_fastk2wave = FastKCustom(SWCA_fastd1wave, SWCA_kperiodwave);
def SWCA_stctrend = MovingAverage(SWCA_averagetypetrend, SWCA_fastk2trend, SWCA_dperiodtrend);
def SWCA_stcwave = MovingAverage(SWCA_averagetypewave, SWCA_fastk2wave, SWCA_dperiodwave);

def SWCA_sstate = if SWCA_stctrend > SWCA_stcwave then 100 else -100;
def SWCA_sbullish = enableSWCA and SWCA_sstate == 100;
def SWCA_sbearish = enableSWCA and SWCA_sstate == -100;
def SWCA_sneutral = 0;
AddLabel(showlabels and enableSWCA, "SWCA", if IsNan(SWCA_sstate) then COLOR.DARK_GRAY else
if SWCA_sstate[-displace] > 0 then COLOR.GREEN else
if SWCA_sstate[-displace] < 0 then COLOR.RED
else COLOR.DARK_GRAY);
#END OF SWCA - Schaff Wave CrossOver Average Module V1.0
 
Last edited:
markos

markos

Well-known member
VIP
@diazlaz I missed something. Which study had all of the studies in a paintbar scheme along the bottom? Thanks
btw, I'm just blown away! What is the general time frame that someone would use this with. @BenTen is a day trader and I'm a stock investor with Daily and weekly charts?
 
D

diazlaz

Well-known member
2019 Donor
VIP
Hi @markos, this study can be used across all timeframes. I tend to trade in the 1M/5M day trade/scalp, 1H/4H for swing/intermediate and 1D/WK timeframes as position. re: paintbar it has the ADX, trend bar painted at the bottom to help identify trending and non-trending environments. depending on the trading strategy you can apply the trend bar to keep you out of sideways market.
 
J007RMC

J007RMC

Active member
2019 Donor
Warehouse
absolutely top notch a link to finished study?
 
A

anycolour

Member
Is this the best study there is? Would appreciate a concise explanation of what each study within this combined study does and how to apply it for trading.

What do the labels at the top mean, are they just the labels for the studies or do they change and give trade signals?

Does this indicator "repaint"?

This does not work on tick charts, right?

For this to work, you must switch the timeframe in the indicator itself to match the chart, correct?

Also, if we all start using this, will it lose its validity/usefulness/edge?
 
Last edited:
mc01439

mc01439

Well-known member
2019 Donor
VIP
@anycolour

What do the labels at the top mean, are they just the labels for the studies or do they change and give trade signals?
They are the signals for the studies you have as a yes on input.

Does this indicator "repaint"?
HAMTF will re-paint because the signal engine for it is the higher time frame.

This does not work on tick charts, right?
Yes it will work on tick chars if you remove HAMTF from the code. That is what I did for my tick charts

For this to work, you must switch the timeframe in the indicator itself to match the chart, correct?
No, the time-frame input is for HAMTF and should be a higher time-frame than the chart being used.

Also, if we all start using this, will it lose its validity/usefulness/edge?
No because there are 100's of combinations for this study/strategy. Many will add to and change in other ways to match their style which will multiply those combinations.
 
Last edited:
A

anycolour

Member
Thanks! Can I get a link to the single HAMFT indicator? I'm trying to figure out what it is. Is it a combination of several studies?

@mc01439 Really? If I'm using a 30m chart or 15m chart, what setting should I put the time-frame input for the HAMFT?

How do I use this? Is this an actual scan to be used on the SCAN tab? Or is it a study? I pasted it as a study. Must it be used on a chart?

**Also, would be great if someone could briefly explain all studies/indicators added onto this monster. That way noobs don't need to read 30+ pages + How to setup / how should it look like. I attached a screenshot of what this study looks like when I set it up.

Should it look like this? Discounting the price levels, volume profile, and emas/smas, etc -



*Edit: Also, I disabled HAMFTF put it to "NO" and still not working on my tick charts.
 
Last edited by a moderator:
BenTen

BenTen

Administrative
Staff
VIP
@anycolour Thanks to @diazlaz, the changelog is clean and easy to read. If you look at it, you will know which indicators are included. I would recommend checking out those indicators. They have their own individual thread that goes over their features).
 
A

anycolour

Member
Thank you BenTen. If I read those individual threads, will I learn what the coloring for all these labels mean?



Please help. Really want to use this. Maybe I'm just retarded. Need help figuring it out. Please look at my screenshot:

What am I looking at?

1. To me it just looks like Heikin Ashi with supertrend indicator?

2. A bunch of labels at the top that I don't know what to do with. Are they actually for something? It seems they turn red and green. Do they? If so, do you look for confluence in all? E.g., more labels red than green = go short? More green labels than red labels = go long?

3. What is the big yellow and grey line at the bottom? How do you use it?



I haven't been around here long to know what a bunch of these indicators mean. Or are they even indicators? In the changelog I see this, let me try to decipher what they are - in order that I can see - those with question marks & bold I'm lost. Those without I think I know...
ha = heikin ashi
hamtf = heikin ashi with multi time frame
ttm
super trend
super trend heiken ashi
frema?
tmo
slim?
top?
dmi?
bop?
supertrend cciatr?
ccittm?
natr?
 
Last edited by a moderator:
YungTraderFromMontana

YungTraderFromMontana

Active member
@diazlaz can I have help with another strategy I'm trying to make?
 
horserider

horserider

Well-known member
VIP
@anycolour Not used this study as way too convoluted for my simple mind. By looking at the code the labels will turn red or green or gray depending on the up , down or neutral state of the indicator.
frema = Ehler's Forward Reverse EMA
tmo = True Momentum Oscillator
slim? = Slim ribbon
top? = Top Ultimate Breakout Indicator.
dmi? = Directional Momentum index
bop? = Ballance of power
supertrend cciatr? = combo study of Supertrend, CCi and Atr
ccittm? = combined Commodity Channel Index and Trend momentum
natr?
= Some sort of Average true range
 
T

tomsk

Well-known member
VIP
There literally are thousands of indicators out there. While many of the indicators being discussed may look "impressive", it is always important to have a good understanding as to the underlying concept/design//premise of such indicators. I certainly can understand why many traders may be curious and feel "compelled" to explore deploying this in their trading repertoire.

It might be helpful to read the following post I made regarding classification/categorization of indicators, based on comments made by Mobius who as many may be aware of is a well respected coder, developer, programmer, mentor, etc in the ThinkScript community


At the end of the day the only way anyone can understand this huge gob of studies is to read and understand the underlying code structure. Personally I like to keep things simple and only use indicators that I understand very well.

All the best folks
 
Last edited:
A

anycolour

Member
I appreciate that tomsk. But basically you're saying if you don't understand code (me) then indicators are largely useless? Doesn't seem true on the surface, at least not entirely. But if so, that sucks...
 
S

shizah

New member
I appreciate that tomsk. But basically you're saying if you don't understand code (me) then indicators are largely useless? Doesn't seem true on the surface, at least not entirely. But if so, that sucks...
I think what tomsk is simply trying to say is - that often times simple indicators are the best. I also do not understand much of the code in many indicators as well. I'm able to make simple changes to the code for my needs. Any complex coding and I'm lost. A perefect example is the RSI Laguerre. Even with the writeups, I still really don't understand how that indicator works. Also, the majority of codes are lagging and price is the ultimate indicator.

Mobius has written thousands of indicators uses only a couple indicators with the main one being Pivots. Don Kaufman at Theo uses no indicators other than TICK and expected move.
 
A

anycolour

Member
Can I please have the link to the Mobius Pivots you're referring to? Thanks!
 

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