How to scan for SuperTrend

ZRX9000

New member
Hey guys I've searched this forum but cant seem to find the answer. I'm trying to figure out how set up a scan using this Supertrend strategy.
https://github.com/sureshja/ThinkOrSwim/blob/master/SuperTrend.ts

I've tried everything I can think of but cant figure it out. Hoping someone here can help me figure out how to do it. Thank you



Code:
declare upper;
input ST_Coeff = 3; # Between 1 - 100
input ST_Period = 7; #Between 1 - 100

def iATR = ATR(ST_Period);
def tmpUp = hl2 - (ST_Coeff * iATR);
def tmpDn = hl2 + (ST_Coeff * iATR);
def finalUp = If(close[1] > finalUp[1], Max(tmpUp, finalUp[1]), tmpUp);
def finalDn = If(close[1] < finalDn[1], Min(tmpDn, finalDn[1]), tmpDn);
def trendDir = If( close > finalDn[1], 1, If( close < finalUp[1], -1, If(!IsNaN(trendDir[1]), trendDir[1], 1) ) );
def trendLine = If(trendDir == 1, finalUp, finalDn);

plot SuperTrend = trendLine;

SuperTrend.DefineColor( "up", Color.GREEN );
SuperTrend.DefineColor( "dn", Color.RED );
SuperTrend.AssignValueColor(SuperTrend.Color("up"));
SuperTrend.AssignValueColor( if close[1] > SuperTrend[1] then SuperTrend.Color( "up" ) else SuperTrend.Color( "dn" ) );
SuperTrend.SetLineWeight( 2 );

def entryPrice = open[-1];
def exitPrice = open[-1];
def tSize = 100;

def sma200 = MovingAverage(AverageType.SIMPLE, close, 200);
def bullMarket = open[-1] > sma200;
def bearMarket = open[-1] < sma200;

input price = close;
input length200 = 200;
input averageType200 = AverageType.EXPONENTIAL;

plot Avg200 = MovingAverage(averageType200, price, length200);
Avg200.SetDefaultColor(GetColor(4));

# Bull Market BUY
AddOrder(OrderType.BUY_TO_OPEN, price is greater than Avg200 and
    close[-1] > SuperTrend[-1] and close[0] < SuperTrend[0]
    , price = entryPrice, tradeSize = tSize, tickcolor = GetColor(1), arrowcolor = GetColor(1), name = "BUY");
# Bull Market SELL
AddOrder(OrderType.SELL_TO_CLOSE, close[-1] < SuperTrend[-1]
    and close[0] > SuperTrend[0], price = exitPrice, tradeSize = tSize, tickcolor = GetColor(0), arrowcolor = GetColor(0), name = "SELL");
 
Last edited by a moderator:
Solution
Let me know if this works

Code:
declare lower;

input ST_Coeff = 3; # Between 1 - 100
input ST_Period = 7; # Between 1 - 100

def iATR = ATR(ST_Period);
def tmpUp = hl2 - (ST_Coeff * iATR);
def tmpDn = hl2 + (ST_Coeff * iATR);
def finalUp = If(close[1] > finalUp[1], Max(tmpUp, finalUp[1]), tmpUp);
def finalDn = If(close[1] < finalDn[1], Min(tmpDn, finalDn[1]), tmpDn);
def trendDir = If( close > finalDn[1], 1, If( close < finalUp[1], -1, If(!IsNaN(trendDir[1]), trendDir[1], 1) ) );
def trendLine = If(trendDir == 1, finalUp, finalDn);

input length200 = 200;
input averageType200 = AverageType.EXPONENTIAL;

def Avg200 = MovingAverage(averageType200, close, length200);

# Scan Condition
def BullMarketBuy = close > Avg200 and close[1] >...
Hey guys I've searched this forum but cant seem to find the answer. I'm trying to figure out how set up a scan using this Supertrend strategy.
https://github.com/sureshja/ThinkOrSwim/blob/master/SuperTrend.ts

I've tried everything I can think of but cant figure it out. Hoping someone here can help me figure out how to do it. Thank you



Code:
declare upper;
input ST_Coeff = 3; # Between 1 - 100
input ST_Period = 7; #Between 1 - 100

def iATR = ATR(ST_Period);
def tmpUp = hl2 - (ST_Coeff * iATR);
def tmpDn = hl2 + (ST_Coeff * iATR);
def finalUp = If(close[1] > finalUp[1], Max(tmpUp, finalUp[1]), tmpUp);
def finalDn = If(close[1] < finalDn[1], Min(tmpDn, finalDn[1]), tmpDn);
def trendDir = If( close > finalDn[1], 1, If( close < finalUp[1], -1, If(!IsNaN(trendDir[1]), trendDir[1], 1) ) );
def trendLine = If(trendDir == 1, finalUp, finalDn);

plot SuperTrend = trendLine;

SuperTrend.DefineColor( "up", Color.GREEN );
SuperTrend.DefineColor( "dn", Color.RED );
SuperTrend.AssignValueColor(SuperTrend.Color("up"));
SuperTrend.AssignValueColor( if close[1] > SuperTrend[1] then SuperTrend.Color( "up" ) else SuperTrend.Color( "dn" ) );
SuperTrend.SetLineWeight( 2 );

def entryPrice = open[-1];
def exitPrice = open[-1];
def tSize = 100;

def sma200 = MovingAverage(AverageType.SIMPLE, close, 200);
def bullMarket = open[-1] > sma200;
def bearMarket = open[-1] < sma200;

input price = close;
input length200 = 200;
input averageType200 = AverageType.EXPONENTIAL;

plot Avg200 = MovingAverage(averageType200, price, length200);
Avg200.SetDefaultColor(GetColor(4));

# Bull Market BUY
AddOrder(OrderType.BUY_TO_OPEN, price is greater than Avg200 and
    close[-1] > SuperTrend[-1] and close[0] < SuperTrend[0]
    , price = entryPrice, tradeSize = tSize, tickcolor = GetColor(1), arrowcolor = GetColor(1), name = "BUY");
# Bull Market SELL
AddOrder(OrderType.SELL_TO_CLOSE, close[-1] < SuperTrend[-1]
    and close[0] > SuperTrend[0], price = exitPrice, tradeSize = tSize, tickcolor = GetColor(0), arrowcolor = GetColor(0), name = "SELL");

that is a chart strategy, that has 2 outputs.
you didn't specify what you want to scan for?

it uses negative offsets, so may not work in a scan.
ex.
def bullMarket = open[-1] > sma200;

a scan uses data from the last bar.
future bars don't exist.

many variables would have to have the offsets changed.
 
Let me know if this works

Code:
declare lower;

input ST_Coeff = 3; # Between 1 - 100
input ST_Period = 7; # Between 1 - 100

def iATR = ATR(ST_Period);
def tmpUp = hl2 - (ST_Coeff * iATR);
def tmpDn = hl2 + (ST_Coeff * iATR);
def finalUp = If(close[1] > finalUp[1], Max(tmpUp, finalUp[1]), tmpUp);
def finalDn = If(close[1] < finalDn[1], Min(tmpDn, finalDn[1]), tmpDn);
def trendDir = If( close > finalDn[1], 1, If( close < finalUp[1], -1, If(!IsNaN(trendDir[1]), trendDir[1], 1) ) );
def trendLine = If(trendDir == 1, finalUp, finalDn);

input length200 = 200;
input averageType200 = AverageType.EXPONENTIAL;

def Avg200 = MovingAverage(averageType200, close, length200);

# Scan Condition
def BullMarketBuy = close > Avg200 and close[1] > trendLine[1] and close < trendLine;
def BullMarketSell = close[1] < trendLine[1] and close > trendLine;

plot Scan = BullMarketBuy or BullMarketSell;
 
Last edited by a moderator:
Solution

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