Archived: RSI Divergence Indicator

[Deleted2090]

@BenTen Is there a way to make this into a watchlist column to indicate red or green when the signals are generated? Sorry if this has been asked before

 

[Buckbull]

Ive been messing around with this cant figue it out I would like to set up a watchlist for the 4hr chart when a new pivot dot is made I did a (Pivot dot is true within 1 bar ) thinking it would let me know as soon as the dot was made . Well that didnt work . But it works within 5 bars . How would I get it to work as soon as the dot is made ? Thanks

 

[jcga1981]

Good morning, I found this indicator on the net, I did not figure the author, but it is very accurate and can be scanned, the problem is that it would ideally show the divergences in the RSI as in the post made by @BenTen, that is to say , which connects the points of divergence with a line;

#Hint: RSI Divergence Scan Developed by Signet. 01/23/2019. \n\n The relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The indicator was originally developed by J. Welles Wilder and introduced in his seminal 1978 book, "New Concepts in Technical Trading Systems." \n\n Traditional interpretation and usage of the RSI is that values of 70 or above indicate that a security is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. An RSI reading of 30 or below indicates an oversold or undervalued condition. The standard is to use 14 periods to calculate the initial RSI value. In a strong upward trending environment, the RSI rarely falls below 40, and will most always stick to the 50 – 80 range. When the RSI crosses the centreline it is a stronger signal that a trend change has happened than a simple extreme reading above or below the 70-30 lines. When the indicator crosses the centreline to the upside, it means that the average gains are exceeding the average losses over the period. The opposite is true for a downside cross.When a centreline cross happens, it can be a good time to think about trade entry on a fresh pullback in price.\n\n This is how the RSI is calculated: \n Pick the base number of periods on which to base the study. \n compare todays closing price with yesterdays. \n add all the upward movements in points between closing prices. \n add all the downwards movements between closing prices. \n calculate the EMA ( exponential moving average ) of the upward and downward price movements. \n calculate the relative strength: \n    <b>[ RS = EMA Upward Price Movements / EMA Downward Price Move ments ]</b> \n Calculate the Relative Strength Index (RSI): \n   <b> RSI = 1 / ( 1 + RS ) </b> \n\n There are a few indicators that pair well with the RSI and using them together can proved better trading signals. \n RSI, candlestick strategy, \n RSI, MACD strategy, \n RSI, MA Cross strategy, & \n RSI, Bollinger band strategy,

#Trade Lessons:
#Wait for conformation before considering a trade,
#The RSI can remain at extreme levels for long periods in a strong trend
#Dont jump right in when you see a reading of 90, first allow the RSI line to fall back below the overbought line to at least give a stoploss level to trade off .
#Watch the Centreline for trend confirmtion.
#If the RSI line reaches an extreme and then returns to the centreline it is a better indication of a turning point in the trend. Waiting for this to occur can cut out those nasty impulsive trades!
#It is common for technical traders to watch the centreline to show shifts in trend,
#If the RSI is above 50, then it is considered a bullish uptrend, and if its below 50, then a bearish downtrend is in play.

# RSI Failure Swing Trade:
#A ‘bearish failure swing’ happens when the RSI enters the overbought zone at 70 and then comes back down below the 70 mark again.
#In this case, a short position will be entered only after the RSI cuts down through the 70 line from the top.
#The ‘bullish failure swing’ occurs when the RSI enters the oversold zone at 30 and then rallies out again and rises above the 30 line again.
#The trader uses this rise above the 30 line as a trigger to go long.

declare lower;
#Hint showDivergentRSI: YES will plot a Divergent Signal on the RSI line, NO will remove the Divergent Signal from the RSI Line

#Hint showDivergentSignals: YES will plot a Divergent Signal on the OS / OB line, NO will remove the Divergent Signal from the OS / OB Line

#Hint showBreakoutSignals: Actual indication of RSI crossovers with the overbought/oversold levels can be enabled by setting the show breakout signals parameter value to YES.

#Hint averageType: By default, the Wilder's moving average is used in the calculation of RSI, however, you are free to select a different type of average.

#Hint over_Sold: On a scale from 0 to 100, default values of 30 are typically use for the oversold level

#Hint over_Bought: On a scale from 0 to 100, default values of 70 are typically use for the overbought level

#Hint Length: The standard is to use 14 periods to calculate the initial RSI value but I like using 10 Periods.

#Hint Sound_AudibleAlert_for_RSI_Cross : This turns off the audio alerts for the RSI Crossovers

# input parameters
input length = 10;
input over_Bought = 70;
input over_Sold = 30;
input price = close;
input averageType = AverageType.WILDERS;
input showDivergentRSI = yes;
input showBreakoutSignals = no;
input showDivergentSignals = yes;
input Sound_AudibleAlert_for_RSI_Cross = No;
def NetChgAvg = MovingAverage(averageType, price - price[1], length);
def TotChgAvg = MovingAverage(averageType, AbsValue(price - price[1]), length);
def ChgRatio = if TotChgAvg != 0 then NetChgAvg / TotChgAvg else 0;


plot RSI = 50 * (ChgRatio + 1);
RSI .SetLineWeight(2);
plot OverSold = over_Sold;
plot OverBought = over_Bought;
plot RSI_CrossUp = if RSI crosses above OverSold then OverSold else Double.NaN;
plot RSI_CrossDn = if RSI crosses below OverBought then OverBought else Double.NaN;

RSI_CrossUp .SetHiding(!showBreakoutSignals);
RSI_CrossDn .SetHiding(!showBreakoutSignals);

RSI.DefineColor("OverBought", GetColor(5));
RSI.DefineColor("Normal", GetColor(7));
RSI.DefineColor("OverSold", GetColor(5));
RSI.AssignValueColor(if RSI > over_Bought then RSI.Color("OverBought") else if RSI < over_Sold then RSI.Color("OverSold") else RSI.Color("Normal"));
OverSold.SetDefaultColor(GetColor(8));
OverBought.SetDefaultColor(GetColor(8));
RSI_CrossUp .SetDefaultColor(Color.UPTICK);
RSI_CrossUp .SetPaintingStrategy(PaintingStrategy.ARROW_UP);
RSI_CrossDn .SetDefaultColor(Color.DOWNTICK);
RSI_CrossDn .SetPaintingStrategy(PaintingStrategy.ARROW_DOWN);

def n = Double.NaN;
def Hclose = high;
def lclose = low;
def prSlope = (Hclose + lclose) / 2;

# Define the Volume Study
def volavg = Average(volume, length);
#Define Volume Slope for Divergence Measurement
def hvol = Highest(volume, length);
def lvol = Lowest(volume, length);
def volslope = (hvol + lvol) / 2;

# Define the Divergence
def isbulld = if (lvol < 0 and volavg >= 0) then 1 else 0;
def isbeard = if (hvol > 0 and volavg <= 0) then 1 else 0;

def myslope = reference LinearRegressionSlope(RSI, length);
def bullslope = reference LinearRegressionSlope(low, length);
def bearslope = reference LinearRegressionSlope(high, length);
def priceslope = (bullslope + bearslope) / 2;

plot Divergence = if (bullslope < 0 and myslope >= 0) or (bearslope > 0 and myslope <= 0) then  RSI else n;
Divergence .DefineColor("Bullish_Divergence", GetColor(6));
Divergence .DefineColor("Bearish_Divergence", GetColor(5));
Divergence .AssignValueColor(if (bullslope < 0 and myslope >= 0) then Divergence .Color("Bullish_Divergence") else if (bearslope > 0 and myslope <= 0) then Divergence .Color("Bearish_Divergence") else Color.GRAY);
Divergence .SetHiding(!showDivergentRSI);
Divergence .SetPaintingStrategy(PaintingStrategy.POINTS);
Divergence .SetLineWeight(5);


plot BullSignal = if (bullslope < 0 and myslope >= 0) then OverBought else Double.NaN;
plot BearSignal = if (bearslope > 0 and myslope <= 0) then OverSold else Double.NaN;

PLOT "0" = 0;
"0" .SetDefaultColor(GetColor(8));
"0" .hidebubble();
"0" .hidetitle();
plot "50" = 50;
"50" .SetDefaultColor(GetColor(8));
"50" .hidebubble();
"50" .hidetitle();
PLOT "100" = 100;
"100" .SetDefaultColor(GetColor(8));
"100" .hidebubble();
"100" .hidetitle();
#Positive divergence happens when the price of an asset is drifting lower yet the RSI is starting to trend higher.
#This could mean that the price is nearing a bottom and will probably turn up soon.
#Negative divergence happens the opposite way, the price is driving higher, but the RSI has stalled and is beginning to turn lower.
#When this occurs it is likely that the price will stop rising soon after. And then follow the RSI lower.
DefineGlobalColor("Bull_Label_Color", CreateColor(148, 214, 232));
DefineGlobalColor("Bear_Label_Color", CreateColor(255, 127, 0));

AddLabel (BullSignal, "Bullish Divergence", GlobalColor("Bull_Label_Color" ) );
AddLabel (BearSignal, "Bearish Divergence", GlobalColor("Bear_Label_Color" ) );

input Show_RSIcross_Labels = yes;
AddLabel (Show_RSIcross_Labels, if
    RSI_CrossUp then "RSI OverSold" else if
    RSI_CrossDn then "RSI OverBought" else "",  if
            RSI_CrossUp then
            Divergence .Color("Bullish_Divergence") else
            Divergence .Color("Bearish_Divergence"));
BullSignal .SetHiding(!showDivergentSignals);
BearSignal .SetHiding(!showDivergentSignals);
BullSignal .SetDefaultColor(Color.UPTICK);
BullSignal .SetPaintingStrategy(PaintingStrategy.TRIANGLES);
BearSignal .SetDefaultColor(Color.DOWNTICK);
BearSignal .SetPaintingStrategy(PaintingStrategy.TRIANGLES);

def MidlineCross = (RSI crosses above 50) or (RSI crosses below 50);
def ExtremeCross = (RSI crosses 70 ) or (RSI crosses below 30);

def Midline_signal = MidlineCross is true;
def Extreme_signal = ExtremeCross is true;

def TrendChange = if Sound_AudibleAlert_for_RSI_Cross == yes then rsi crosses 50 or rsi else no;

Alert(TrendChange, "RSI Trend Change", Alert.BAR, Sound.Ring);

def Extreme = if Sound_AudibleAlert_for_RSI_Cross == yes then rsi crosses 70 or rsi crosses 30 else no;

Alert(Extreme, "RSI @ Extreme", Alert.BAR, Sound.Ring);

To scan, what I do is add the study in the scanner and in the divergence option I put true

https://imgur.com/zONrHyZ

https://imgur.com/i5lijhm

I hope you can see the link ... today I have tested the indicator and it is quite accurate

 

[Buckbull]

@Chuck Is this your workspace ? if so i am really interested in the double bottom indicator , Can you please explain how to use it ? All I see is every time it plots a blue number the upside is pretty impressive , as shown in the pic I know what a Double Bottom is but how and why is the blue number plotted . Hope you could shed some light on it .

 

[harrymed38]

@Buckbull I would also be curious to learn how you are using it

 

[imburger]

Hi All, can I request to add arrows and alert for RSI Divergence that similar to Buy the dip.

I've no coding experience but I've tried add meter into the script.. Thanks in advance!

 

[BenTen]

@imburger Here is the modified version with up and down arrows. See if that works for you.

# RSI_With_Divergence
# Mobius
# V01.01.2013
# 4.15.2019
#hint:<b>RSI with Divergence</b>

# Note: Install this as a new study. Save this study using the name above (the first line of code RSI_With_Divergence).

# To use this study as a scan; DO NOT TRY TO LOAD IT DIRECTLY IN THE SCANNER, IT WILL THROW AN ERROR MESSAGE. Go to the scan tab. Delete any existing scan criteria. Click Add Study Filter. Click the window under Criteria. In that drop down menu click Custom. Delete the existing study. Click Add Condition. Click the down arrow in the Select A Condition window. Click Study. Scroll down the List till you find RSI_With_Divergence and click it. Click on the Plot window and you can choose Dhigh or Dlow in addition to the default plot RSI. If you choose either of the divergence siganls choose is True from the center column. Click on the aggregation period at the top left and set the aggregation period you want scaned. Then click Save and when the popup window shows the warning that this is a custom scan chose OK. Now put the list of stocks you wish to scan in the Scan In box and chose any list you want that to intersect with. If you wish to make this a Dynamic WatchList, save this scan with a name such as RSI_With_Div_WL then in your Gadgets box click the little gear icon, locate the name of the scan you just saved and click it. As equities match the scan criteria they will populate the list.

input n = 14;        #hint nRSI: Periods or length for RSI

input Over_Bought = 70; #hint Over_Bought: Over Bought line

input Over_Sold = 30;   #hint Over_Sold: Over Sold line

def o = open;

def h = high;

def l = low;

def c = close;

def x = BarNumber();

def MidLine = 50;

def NetChgAvg = ExpAverage(c - c[1], n);

def TotChgAvg = ExpAverage(AbsValue(c - c[1]), n);

def ChgRatio = if TotChgAvg != 0

                  then NetChgAvg / TotChgAvg

                  else 0;

def RSI = 50 * (ChgRatio + 1);

def OverSold = Over_Sold;

def OverBought = Over_Bought;

def bar = BarNumber();

def Currh = if RSI > OverBought

                then fold i = 1 to Floor(n / 2)

                with p = 1

                while p

                do RSI > getValue(RSI, -i)

                else 0;

def CurrPivotH = if (bar > n and

                         RSI == highest(RSI, Floor(n/2)) and

                         Currh)

                     then RSI

                     else double.NaN;

def Currl = if RSI < OverSold

                then fold j = 1 to Floor(n / 2)

                with q = 1

                while q

                do RSI < getValue(RSI, -j)

                else 0;

def CurrPivotL = if (bar > n and

                         RSI == lowest(RSI, Floor(n/2)) and

                         Currl)

                     then RSI

                     else double.NaN;

def CurrPHBar = if !isNaN(CurrPivotH)

                then bar

                else CurrPHBar[1];

def CurrPLBar = if !isNaN(CurrPivotL)

                then bar

                else CurrPLBar[1];

def PHpoint = if !isNaN(CurrPivotH)

              then CurrPivotH

              else PHpoint[1];

def priorPHBar = if PHpoint != PHpoint[1]

                 then CurrPHBar[1]

                 else priorPHBar[1];

def PLpoint = if !isNaN(CurrPivotL)

              then CurrPivotL

              else PLpoint[1];

def priorPLBar = if PLpoint != PLpoint[1]

                 then CurrPLBar[1]

                 else priorPLBar[1];

def HighPivots = bar >= highestAll(priorPHBar);

def LowPivots = bar >= highestAll(priorPLBar);

def pivotHigh = if HighPivots

                then CurrPivotH

                else double.NaN;

def PlotHline = pivotHigh;

def pivotLow = if LowPivots

                then CurrPivotL

                else double.NaN;

def PivotDot = if !isNaN(pivotHigh)

                then pivotHigh

                else if !isNaN(pivotLow)

                     then pivotLow

                     else double.NaN;

plot uparrow = pivotLow;
uparrow.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_UP);
plot downarrow = pivotHigh;
downarrow.SetPaintingStrategy(PaintingStrategy.BOOLEAN_ARROW_DOWN);

# End Code RSI with Divergence

 

[imburger]

Hi BenTen,

Thanks for the upper section arrow signal.

Actually can I have the arrows, alert with sound and alert bar into the lower section together with RSI Divergence indicator

 

[BenTen]

@imburger Add the following to the bottom of your script for alerts:

# Alerts
Alert(uparrow, " ", Alert.Bar, Sound.Chimes);
Alert(downarrow, " ", Alert.Bar, Sound.Bell);

 

[zwedle]

@imburger Cool chart labels. Would you mind sharing your setup?

 

[imburger]

@BenTen, thanks for your help!

@zwedle you can find the Utility Labels at https://tosindicators.com/indicators/market-pulse

 

[nightowl]

hello, i have 2 indicators from tradingview that im hoping someone could convert to thinkscript. I would be forever grateful as these were my go to's in my tradingview days. the first is rsi divergence plotting buy and sell signals from the divegrence of a slower and faster rsi created by Shizaru. The second is a regular rsi divergence that draws trend lines on the divergences and labels the divergence (bear,hidden bear, bull, hidden bull) created by Indyan. It does have a MACD plotted seperate under the rsi but i am not in need of the MACD. Once again i would be forever grateful if this can be done. and maybe add some alerts to the bottom indicator.

study(title="RSI Divergence", shorttitle="RSI Divergence")
src_fast = close, len_fast = input(5, minval=1, title="Length Fast RSI")
src_slow = close, len_slow = input(14,minval=1, title="Length Slow RSI")
up_fast = rma(max(change(src_fast), 0), len_fast)
down_fast = rma(-min(change(src_fast), 0), len_fast)
rsi_fast = down_fast == 0 ? 100 : up_fast == 0 ? 0 : 100 - (100 / (1 + up_fast / down_fast))
up_slow = rma(max(change(src_slow), 0), len_slow)
down_slow = rma(-min(change(src_slow), 0), len_slow)
rsi_slow = down_slow == 0 ? 100 : up_slow == 0 ? 0 : 100 - (100 / (1 + up_slow / down_slow))
//plotfast = plot(rsi_fast, color=blue)
//plotslow = plot(rsi_slow, color=orange)
divergence = rsi_fast - rsi_slow
plotdiv = plot(divergence, color = divergence > 0 ? lime:red, linewidth = 2)
//band1 = hline(70,color=green)
//band0 = hline(30,color=red)
band = hline(0)

//@version=4
study(title="{INDYAN} RSI + MACD", shorttitle="{INDYAN} RSI+MACD Divergence")
len = input(title="RSI Period", minval=1, defval=7)
src = input(title="RSI Source", defval=close)
lbR = input(title="Pivot Lookback Right", defval=5)
lbL = input(title="Pivot Lookback Left", defval=3)

rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotHiddenBull = input(title="Plot Hidden Bullish", defval=true)
plotBear = input(title="Plot Bearish", defval=true)
plotHiddenBear = input(title="Plot Hidden Bearish", defval=false)


bearColor = color.purple
bullColor = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)

osc = rsi(src, len)

plot(osc, title="RSI", linewidth=2, color=#8D1699)
hline(50, title="Middle Line", linestyle=hline.style_dotted)
obLevel = hline(60, title="Overbought", linestyle=hline.style_dotted)
osLevel = hline(40, title="Oversold", linestyle=hline.style_dotted)
fill(obLevel, osLevel, title="Background", color=#9915FF, transp=90)

plFound = na(pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(pivothigh(osc, lbL, lbR)) ? false : true

_inRange(cond) =>
    bars = barssince(cond == true)
    rangeLower <= bars and bars <= rangeUpper

//------------------------------------------------------------------------------
// Regular Bullish

// Osc: Higher Low
oscHL = osc[lbR] > valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Lower Low
priceLL = low[lbR] < valuewhen(plFound, low[lbR], 1)

bullCond = plotBull and priceLL and oscHL and plFound

plot(
     plFound ? osc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish",
     linewidth=2,
     color=(bullCond ? bullColor : noneColor),
     transp=0
     )


plotshape(
     bullCond ? osc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish Label",
     text=" Bull ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor,
     transp=0
     )

//------------------------------------------------------------------------------
// Hidden Bullish

// Osc: Lower Low
oscLL = osc[lbR] < valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Higher Low
priceHL = low[lbR] > valuewhen(plFound, low[lbR], 1)

hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound

plot(
     plFound ? osc[lbR] : na,
     offset=-lbR,
     title="Hidden Bullish",
     linewidth=2,
     color=(hiddenBullCond ? hiddenBullColor : noneColor),
     transp=0
     )

plotshape(
     hiddenBullCond ? osc[lbR] : na,
     offset=-lbR,
     title="Hidden Bullish Label",
     text=" Hidden Bull ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor,
     transp=0
     )

longCondition=bullCond or hiddenBullCond

//------------------------------------------------------------------------------
// Regular Bearish

// Osc: Lower High
oscLH = osc[lbR] < valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Higher High
priceHH = high[lbR] > valuewhen(phFound, high[lbR], 1)

bearCond = plotBear and priceHH and oscLH and phFound

plot(
     phFound ? osc[lbR] : na,
     offset=-lbR,
     title="Regular Bearish",
     linewidth=2,
     color=(bearCond ? bearColor : noneColor),
     transp=0
     )

plotshape(
     bearCond ? osc[lbR] : na,
     offset=-lbR,
     title="Regular Bearish Label",
     text=" Bear ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor,
     transp=0
     )

//------------------------------------------------------------------------------
// Hidden Bearish

// Osc: Higher High
oscHH = osc[lbR] > valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Lower High
priceLH = high[lbR] < valuewhen(phFound, high[lbR], 1)

hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound

plot(
     phFound ? osc[lbR] : na,
     offset=-lbR,
     title="Hidden Bearish",
     linewidth=2,
     color=(hiddenBearCond ? hiddenBearColor : noneColor),
     transp=0
     )

plotshape(
     hiddenBearCond ? osc[lbR] : na,
     offset=-lbR,
     title="Hidden Bearish Label",
     text=" Hidden Bear ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor,
     transp=0
     )


// Getting inputs
fast_length = input(title="Fast Length", type=input.integer, defval=5)
slow_length = input(title="Slow Length", type=input.integer, defval=8)
srcd = input(title="Source", type=input.source, defval=close)
signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 3)
sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=false)
sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=false)

// Plot colors
col_grow_above = #26A69A
col_grow_below = #FFC1D5
col_fall_above = #B2DFDB
col_fall_below = #EF5550
col_macd = #0094ff
col_signal = #ff6a00

// Calculating
fast_ma = sma_source ? sma(src, fast_length) : ema(src, fast_length)
slow_ma = sma_source ? sma(src, slow_length) : ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal ? sma(macd, signal_length) : ema(macd, signal_length)
hist = macd - signal

plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below) ), transp=0 )
plot(macd, title="MACD", color=col_macd, transp=0)
plot(signal, title="Signal", color=col_signal, transp=0)

 

[luiscervantes30]

Hi All, can I request to add arrows and alert for RSI Divergence that similar to Buy the dip.

I've no coding experience but I've tried add meter into the script.. Thanks in advance!

Can you Please share the link to this chart? Thanks

 

[luiscervantes30]

@nightowl Getting an error on this code right above, can someone help me out? it says invalid statement: = at 1.5. thanks

 

[BenTen]

@luiscervantes30 The code posted by @nightowl was for TradingView. Will not work in ToS.

 

[luiscervantes30]

@luiscervantes30 The code posted by @nightowl was for TradingView. Will not work in ToS.

Awww ok, so just the one you listed up above. RSI with Divergence correct? Thanks

 

[BenTen]

@luiscervantes30 Yup.

 

[chewie76]

@luiscervantes30 Yup.

How can I get these divergences in picture? This is on 3 min chart of /GC on Dec. 31. Thanks.

 

[BenTen]

@chewie76 The one that you drew manually? Either by drawing it using the drawing toolkit, or you will have to code it. From what I know, divergences are best when identified manually

 

[luiscervantes30]

@chewie76 The one that you drew manually? Either by drawing it using the drawing toolkit, or you will have to code it. From what I know, divergences are best when identified manually

Someone has something similar to this as...can't load pictures give me sec.