True Trend Oscillator [wbburgin] for ThinkOrSwim

samer800

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The True Trend oscillator identifies trending or ranging markets with a stochastic ATR and RSI.

CODE:

CSS:
#// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
#// © wbburgin
#indicator("True Trend Oscillator [wbburgin]",overlay=false)
# converted and mod by Sam2Cok@Samer800    - 05/2023
declare lower;

input colorBars = yes;
input ShowTrendLinw = yes;
input RangeThreshold = 20;     # "A higher threshold will identify more ranges but will be slower at catching the trend"
input atrLength = 14;          # "ATR Length"
input lengthStoch = 14;        # "Stochastic Length"
input Lookback = 25;           # "The number of bars used for the estimation of the rational quadratic kernel"
input RelativeWeighting = 1;   # "Relative Weighting"
input StochasticSmoothing = 3; # "Stochastic Smoothing"
input rsiSource = close;       # "RSI Source"
input rsiLength = 14;          # "RSI Length"

def na = Double.NaN;
def last = isNaN(close);
def threshold = min(max(RangeThreshold, 0), 100);
#stochatr(src,smoothK,lookback,weighting,lengthStoch)=>
script stochatr {
    input atrSrc = 1;
    input smoothK = 3;
    input lookback = 25;
    input weighting = 1;
    input lengthStoch = 14;
    def lowest_k = Lowest(atrSrc, lengthStoch);
    def c1 = atrSrc - lowest_k;
    def c2 = Highest(atrSrc, lengthStoch) - lowest_k;
    def fastK = if c2 != 0 then c1 / c2 * 100 else 0;
    def _src = fastK;
    def size = smoothK-1;
    def currentWeight    = fold i = 0 to size + smoothK with p do
                         p + _src[i] * Power(1 + (Power(i, 2) / ((Power(lookback, 2) * 2 * weighting))), - weighting);
    def cumulativeWeight = fold j = 0 to size + smoothK with q do
                         q +  Power(1 + (Power(j, 2) / ((Power(lookback, 2) * 2 * weighting))), - weighting);
    def yhat = currentWeight / cumulativeWeight;
    plot out = yhat;

}
def tr = TrueRange(high, close, low);
def atrSrc = WildersAverage(tr, atrLength);
def k = stochatr(atrSrc, StochasticSmoothing, Lookback, RelativeWeighting, lengthStoch);
def nRSI = RSI(Price = rsiSource, Length = rsiLength);
def bull = Sqrt(nRSI * k);
def bear = Sqrt((100 - nRSI) * k);
def dir = min(bull,bear);
def col = if (bull > bear and dir > threshold) then 1 else
          if (bear > bull and dir > threshold) then -1 else 0;

plot bullTrend = bull;    # "Bull Trend"
plot bearTrend = bear;    # "Bear Trend"
bullTrend.SetDefaultColor(Color.GREEN);
bearTrend.SetDefaultColor(Color.RED);

plot trend = if last or !ShowTrendLinw then na else 100;
plot top = if last then na else 80;#
plot bottom = if last then na else threshold;
plot base = if last then na else 0;
trend.AssignValueColor(if col>0 then Color.GREEN else if col<0 then Color.RED else Color.GRAY);
trend.SetPaintingStrategy(PaintingStrategy.LINE_VS_SQUARES);
bottom.SetDefaultColor(Color.LIGHT_GREEN);
base.SetDefaultColor(Color.LIGHT_RED);
top.SetStyle(Curve.SHORT_DASH);
top.SetDefaultColor(Color.GRAY);

#-- cloud and BarColor
AddCloud(top, bottom, CreateColor(0, 21, 80), CreateColor(0, 21, 80));
AddCloud(bottom, base, Color.DARK_RED, Color.DARK_RED);

AssignPriceColor(if !colorBars then Color.CURRENT else
                 if col>0 then Color.GREEN else if col<0 then Color.RED else Color.GRAY);


#-- END of CODE
 

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This is an awesome indicator ... check out the explosive move when crosses is above the mid 50 level ...
Anyway, was thinking can we just use stochastic instead of RSI ... in fact most of the conversion should use stochastic instead of RSI as it exaggerates price too much ...
 
This is an awesome indicator
check out the explosive move when crosses is above the mid 50 level ...
Anyway, was thinking can we just use stochastic instead of RSI ... in fact most of the conversion should use stochastic instead of RSI as it exaggerates price too much ...
gTXTPXV.png

These are the stochastic indicators available on the ToS platform
As you did not indicate which you are referring to, I picked one at random.
Feel free to replace the following with one of the above.

To "just use stochastic instead of RSI", do the following:
1. Find this statement in your script:
def nRSI = RSI(Price = rsiSource, Length = rsiLength);
2. Replace with this statement:
def nRSI = StochasticFast();
 

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