Deviation Trend Profile [BigBeluga] For Thinkorswim

chewie76

chewie76

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This is an adaptation of the Deviation Trend Profile converted from Tradingview to Thinkorswim.
Original Link: https://www.tradingview.com/script/6Wr1CEuo-Deviation-Trend-Profile-BigBeluga/

A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
  • Standard Deviation Zones: Calculates ±1, ±2, ±3 and ±4 levels from the SMA using ATR, forming dynamic envelopes around the mean.

The shaded areas are the 3-4 standard deviation from a moving average (default 50 SMA). Notice in the below picture of /GC on the four-hour timeframe, price was rejected every single time when it hit the ±4 levels.

Color Candles can be turned on/off in settings and align with the Standard Deviation Zones.

1754976054722.png


Code: 
# Deviation Trend Profile [BigBeluga] - Thinkorswim Adaptation
# Converted from Pine Script v6
# Box plotting omitted (not supported in Thinkorswim)
# Assembled by Chewie 08/2025

input ColorBar = yes;
input length = 50;
input mult1 = 1;
input mult2 = 2;
input mult3 = 3;
input mult4 = 4;
input atrLength = 200;
input showTrendSignals = yes;
input averageType = AverageType.Simple;

# Theme colors
DefineGlobalColor("UpColor", Color.CYAN);
DefineGlobalColor("DownColor", Color.RED);

# Core calculations
def avg = movingAverage(averageType, close, length);
def atr = Average(TrueRange(high, close[1], low), atrLength);

def stdv1 = avg + atr * mult1;
def stdv2 = avg + atr * mult2;
def stdv3 = avg + atr * mult3;
def stdv4 = avg + atr * mult4;

def stdv_1 = avg - atr * mult1;
def stdv_2 = avg - atr * mult2;
def stdv_3 = avg - atr * mult3;
def stdv_4 = avg - atr * mult4;

# SMA slope
def avgDiff = avg - avg[5];

# Normalize slope for color intensity
def maxSlope = Highest(avgDiff, 500);
def minSlope = Lowest(avgDiff, 500);
def avgColNorm = if maxSlope != minSlope then (avgDiff - minSlope) / (maxSlope - minSlope) else 0;

# Gradient color simulation
def slopeUp = avgColNorm > 0.4;
def slopeDn = avgColNorm < 0.4;


# Trend detection
def trend = CompoundValue(1,
    if avgColNorm crosses above 0.55 then 1
    else if avgColNorm crosses below 0.45 then 0
    else trend[1], 0);

# Plotting deviation lines
plot pStdv1 = stdv1;
plot pStdv2 = stdv2;
plot pStdv3 = stdv3;
plot pStdv4 = stdv4;
plot pStdv_1 = stdv_1;
plot pStdv_2 = stdv_2;
plot pStdv_3 = stdv_3;
plot pStdv_4 = stdv_4;

pStdv4.setlineWeight(2);
pStdv_4.setlineWeight(2);

pStdv1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv2.SetDefaultColor(Color.dark_orange);
pStdv3.SetDefaultColor(Color.red);
pStdv4.SetDefaultColor(Color.magenta);
pStdv_1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv_2.SetDefaultColor(Color.LIGHT_GREEN);
pStdv_3.SetDefaultColor(Color.GREEN);
pStdv_4.SetDefaultColor(Color.CYAN);

AddCloud(pStdv_3, pStdv_4, COLOR.dark_green, COLOR.gray);
AddCloud(pStdv3, pStdv4, COLOR.gray, COLOR.dark_red);

# Plot average with dynamic color
plot pAvg = avg;
#pAvg.AssignValueColor(
#    if slopeUp then GlobalColor("UpColor")
#    else if slopeDn then GlobalColor("DownColor")
#    else Color.GRAY);

PAvg.assignvalueColor(if PAvg < PAvg[3] then color.red else color.green);
pAvg.SetLineWeight(2);

# Trend markers
AddChartBubble(showTrendSignals and trend crosses above 0.4, avg, "UpT", GlobalColor("UpColor"), no);
AddChartBubble(showTrendSignals and trend crosses below 0.4, avg, "DnT", GlobalColor("DownColor"), yes);

AssignPriceColor(if !ColorBar then Color.CURRENT else if low < pstdv_4 then color.cyan else if high > pstdv4 then color.magenta else if close > pstdv_2 and close < pstdv_1 then color.light_green else if close > pstdv_3 and close < pstdv_2 then color.green else if close > pstdv_4 and close < pstdv_3 then color.dark_green else if low < pstdv_4 then color.cyan else if close < pstdv4 and close > pstdv3 then color.dark_red else if close < pstdv3 and close > pstdv2 then color.red else if close > pstdv1 and close < pstdv2 then color.dark_orange else if close < pstdv2 and close > pavg then color.gray else if close < pavg and close > pstdv_2 then color.gray else Color.dark_gray);

# END CODE


If you would like a WATCHLIST, then use the below code.

Code: 
# WATCHLIST    Deviation Trend Profile [BigBeluga] - Thinkorswim Adaptation
# Converted from Pine Script v6
# Box plotting omitted (not supported in Thinkorswim)
# Assembled by Chewie 08/2025

input ColorBar = yes;
input length = 50;
input mult1 = 1;
input mult2 = 2;
input mult3 = 3;
input mult4 = 4;
input atrLength = 200;
input showTrendSignals = yes;
input averageType = AverageType.Simple;

# Theme colors
DefineGlobalColor("UpColor", Color.CYAN);
DefineGlobalColor("DownColor", Color.RED);

# Core calculations
def avg = movingAverage(averageType, close, length);
def atr = Average(TrueRange(high, close[1], low), atrLength);

def stdv1 = avg + atr * mult1;
def stdv2 = avg + atr * mult2;
def stdv3 = avg + atr * mult3;
def stdv4 = avg + atr * mult4;

def stdv_1 = avg - atr * mult1;
def stdv_2 = avg - atr * mult2;
def stdv_3 = avg - atr * mult3;
def stdv_4 = avg - atr * mult4;

# SMA slope
def avgDiff = avg - avg[5];

# Normalize slope for color intensity
def maxSlope = Highest(avgDiff, 500);
def minSlope = Lowest(avgDiff, 500);
def avgColNorm = if maxSlope != minSlope then (avgDiff - minSlope) / (maxSlope - minSlope) else 0;

# Gradient color simulation
def slopeUp = avgColNorm > 0.4;
def slopeDn = avgColNorm < 0.4;


# Trend detection
def trend = CompoundValue(1,
    if avgColNorm crosses above 0.55 then 1
    else if avgColNorm crosses below 0.45 then 0
    else trend[1], 0);

# Plotting deviation lines
def pStdv1 = stdv1;
def pStdv2 = stdv2;
def pStdv3 = stdv3;
def pStdv4 = stdv4;
def pStdv_1 = stdv_1;
def pStdv_2 = stdv_2;
def pStdv_3 = stdv_3;
def pStdv_4 = stdv_4;


# Plot average with dynamic color
plot pAvg = avg;
PAvg.assignvalueColor(if PAvg < PAvg[3] then color.red else color.green);
pAvg.SetLineWeight(3);


AssignBACKGROUNDColor(if !ColorBar then Color.CURRENT else if low < pstdv_4 then color.cyan else if high > pstdv4 then color.magenta else if close > pstdv_2 and close < pstdv_1 then color.light_green else if close > pstdv_3 and close < pstdv_2 then color.green else if close > pstdv_4 and close < pstdv_3 then color.dark_green else if low < pstdv_4 then color.cyan else if close < pstdv4 and close > pstdv3 then color.dark_red else if close < pstdv3 and close > pstdv2 then color.red else if close > pstdv1 and close < pstdv2 then color.dark_orange else if close < pstdv2 and close > pavg then color.gray else if close < pavg and close > pstdv_2 then color.gray else Color.dark_gray);



AddLabel(yes, if low < pstdv_4 then "XBUY" else if high > pstdv4 then "XSELL" else " ", if low < pstdv_4 THEN COLOR.blue ELSE IF high > pstdv4 then color.black else Color.BLACK);
 
Last edited:

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Nicely Done, Thank You.

Thought I'd make some minor adjustments by stripping out some of the unnecessary options such as candle painting and bubbles to lean the code up.

Added a 5th deviation band with option to toggle 5th band on and off.

Code: 
# Deviation Trend Profile [BigBeluga] - Thinkorswim Adaptation
# Overview:
# This indicator plots multi-level deviation bands around a central moving average, using ATR for volatility-based spacing. It's designed for visualizing price deviations in swing trading setups, such as on DVN or other volatile energy stocks. Bands act as dynamic support/resistance zones, with optional clouds for outer extremes.
#
# Best Practices and Input Notes:
# - Ensure charts have adequate historical data (e.g., at least 200 bars for atrLength=200) to avoid NaN errors in ATR calculations; TOS may not plot if bars are insufficient.
# - Test across timeframes: For higher ones like quarterly or monthly, lower atrLength (e.g., to 50) if plots fail due to limited bar count.
# - Customize based on strategy: Shorter inputs increase responsiveness but add noise; longer ones smooth signals but may lag in trends.
# - 'length' (default 50): Period for the central moving average. Shorter (20-30) for quick trends in intraday charts; longer (100+) for smoother signals in daily/weekly, though it may delay entries in volatile assets like DVN.
# - 'atrLength' (default 200): Period for Average True Range, controlling band width sensitivity. Shorter (50-100) for adaptive bands in choppy markets; longer for stable, trend-following envelopes.
# - 'averageType' (default Simple): Type of moving average (Simple, Exponential, etc.). Simple is balanced; Exponential weights recent prices more for faster response.
# - 'mult1-5' (defaults 1-5): Multipliers for band levels. Adjust for tighter/looser channels (e.g., reduce to 0.5-3 for conservative zones; increase for wider in high-vol stocks).
# - 'enableClouds' (default yes): Toggles shading between outer bands (±3 to ±4) for visual emphasis on extremes; disable for cleaner charts or better performance.
# - 'enableFifthBand' (default no): Toggles the fifth deviation band (±mult5); enable for additional outer levels if needed for extreme volatility analysis.
# - Performance Tip: This version is stripped down for speed—avoid layering with heavy studies. Backtest in TOS Strategy Tester before live use, and watch for contraction/expansion in low/high-vol periods.
# - Usage Tip: In swing trading (e.g., DVN), watch price touches on outer bands for reversals; combine with momentum tools like RSI for confirmation.
#===============================================================================================================================================================================
input length = 55;
input atrLength = 233;
input averageType = AverageType.Simple;
input enableClouds = yes;
input enableFifthBand = no;
input mult1 = 1;
input mult2 = 2;
input mult3 = 3;
input mult4 = 4;
input mult5 = 5;

def avg = movingAverage(averageType, close, length);
def atr = Average(TrueRange(high, close[1], low), atrLength);

def stdv1 = avg + atr * mult1;
def stdv2 = avg + atr * mult2;
def stdv3 = avg + atr * mult3;
def stdv4 = avg + atr * mult4;
def stdv5 = avg + atr * mult5;
def stdv_1 = avg - atr * mult1;
def stdv_2 = avg - atr * mult2;
def stdv_3 = avg - atr * mult3;
def stdv_4 = avg - atr * mult4;
def stdv_5 = avg - atr * mult5;

plot pAvg = avg;
pAvg.AssignValueColor(if pAvg < pAvg[3] then Color.RED else Color.GREEN);
pAvg.SetLineWeight(2);

plot pStdv1 = stdv1;
plot pStdv2 = stdv2;
plot pStdv3 = stdv3;
plot pStdv4 = stdv4;
plot pStdv5 = if enableFifthBand then stdv5 else Double.NaN;
plot pStdv_1 = stdv_1;
plot pStdv_2 = stdv_2;
plot pStdv_3 = stdv_3;
plot pStdv_4 = stdv_4;
plot pStdv_5 = if enableFifthBand then stdv_5 else Double.NaN;

pStdv1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv2.SetDefaultColor(Color.DARK_ORANGE);
pStdv3.SetDefaultColor(Color.RED);
pStdv4.SetDefaultColor(Color.MAGENTA);
pStdv4.SetLineWeight(2);
pStdv5.SetDefaultColor(Color.PLUM);
pStdv5.SetLineWeight(2);
pStdv5.SetStyle(Curve.SHORT_DASH);
pStdv_1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv_2.SetDefaultColor(Color.LIGHT_GREEN);
pStdv_3.SetDefaultColor(Color.GREEN);
pStdv_4.SetDefaultColor(Color.CYAN);
pStdv_4.SetLineWeight(2);
pStdv_5.SetDefaultColor(Color.BLUE);
pStdv_5.SetLineWeight(2);
pStdv_5.SetStyle(Curve.SHORT_DASH);

def cloudLower1 = if enableClouds then stdv_3 else Double.NaN;
def cloudUpper1 = if enableClouds then stdv_4 else Double.NaN;
AddCloud(cloudLower1, cloudUpper1, COLOR.DARK_GREEN, COLOR.GRAY);
def cloudLower2 = if enableClouds then stdv3 else Double.NaN;
def cloudUpper2 = if enableClouds then stdv4 else Double.NaN;
AddCloud(cloudLower2, cloudUpper2, COLOR.GRAY, COLOR.DARK_RED);
 
Last edited:
chewie76 said:
This is an adaptation of the Deviation Trend Profile converted from Tradingview to Thinkorswim.
Original Link: https://www.tradingview.com/script/6Wr1CEuo-Deviation-Trend-Profile-BigBeluga/

A statistical trend analysis tool that combines moving average dynamics with standard deviation zones and trend-specific price distribution.
  • Standard Deviation Zones: Calculates ±1, ±2, ±3 and ±4 levels from the SMA using ATR, forming dynamic envelopes around the mean.

The shaded areas are the 3-4 standard deviation from a moving average (default 50 SMA). Notice in the below picture of /GC on the four-hour timeframe, price was rejected every single time when it hit the ±4 levels.

Color Candles can be turned on/off in settings and align with the Standard Deviation Zones.

View attachment 25449

Code: 
# Deviation Trend Profile [BigBeluga] - Thinkorswim Adaptation
# Converted from Pine Script v6
# Box plotting omitted (not supported in Thinkorswim)
# Assembled by Chewie 08/2025

input ColorBar = yes;
input length = 50;
input mult1 = 1;
input mult2 = 2;
input mult3 = 3;
input mult4 = 4;
input atrLength = 200;
input showTrendSignals = yes;
input averageType = AverageType.Simple;

# Theme colors
DefineGlobalColor("UpColor", Color.CYAN);
DefineGlobalColor("DownColor", Color.RED);

# Core calculations
def avg = movingAverage(averageType, close, length);
def atr = Average(TrueRange(high, close[1], low), atrLength);

def stdv1 = avg + atr * mult1;
def stdv2 = avg + atr * mult2;
def stdv3 = avg + atr * mult3;
def stdv4 = avg + atr * mult4;

def stdv_1 = avg - atr * mult1;
def stdv_2 = avg - atr * mult2;
def stdv_3 = avg - atr * mult3;
def stdv_4 = avg - atr * mult4;

# SMA slope
def avgDiff = avg - avg[5];

# Normalize slope for color intensity
def maxSlope = Highest(avgDiff, 500);
def minSlope = Lowest(avgDiff, 500);
def avgColNorm = if maxSlope != minSlope then (avgDiff - minSlope) / (maxSlope - minSlope) else 0;

# Gradient color simulation
def slopeUp = avgColNorm > 0.4;
def slopeDn = avgColNorm < 0.4;


# Trend detection
def trend = CompoundValue(1,
    if avgColNorm crosses above 0.55 then 1
    else if avgColNorm crosses below 0.45 then 0
    else trend[1], 0);

# Plotting deviation lines
plot pStdv1 = stdv1;
plot pStdv2 = stdv2;
plot pStdv3 = stdv3;
plot pStdv4 = stdv4;
plot pStdv_1 = stdv_1;
plot pStdv_2 = stdv_2;
plot pStdv_3 = stdv_3;
plot pStdv_4 = stdv_4;

pStdv4.setlineWeight(2);
pStdv_4.setlineWeight(2);

pStdv1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv2.SetDefaultColor(Color.dark_orange);
pStdv3.SetDefaultColor(Color.red);
pStdv4.SetDefaultColor(Color.magenta);
pStdv_1.SetDefaultColor(Color.LIGHT_GRAY);
pStdv_2.SetDefaultColor(Color.LIGHT_GREEN);
pStdv_3.SetDefaultColor(Color.GREEN);
pStdv_4.SetDefaultColor(Color.CYAN);

AddCloud(pStdv_3, pStdv_4, COLOR.dark_green, COLOR.gray);
AddCloud(pStdv3, pStdv4, COLOR.gray, COLOR.dark_red);

# Plot average with dynamic color
plot pAvg = avg;
#pAvg.AssignValueColor(
#    if slopeUp then GlobalColor("UpColor")
#    else if slopeDn then GlobalColor("DownColor")
#    else Color.GRAY);

PAvg.assignvalueColor(if PAvg < PAvg[3] then color.red else color.green);
pAvg.SetLineWeight(2);

# Trend markers
AddChartBubble(showTrendSignals and trend crosses above 0.4, avg, "UpT", GlobalColor("UpColor"), no);
AddChartBubble(showTrendSignals and trend crosses below 0.4, avg, "DnT", GlobalColor("DownColor"), yes);

AssignPriceColor(if !ColorBar then Color.CURRENT else if low < pstdv_4 then color.cyan else if high > pstdv4 then color.magenta else if close > pstdv_2 and close < pstdv_1 then color.light_green else if close > pstdv_3 and close < pstdv_2 then color.green else if close > pstdv_4 and close < pstdv_3 then color.dark_green else if low < pstdv_4 then color.cyan else if close < pstdv4 and close > pstdv3 then color.dark_red else if close < pstdv3 and close > pstdv2 then color.red else if close > pstdv1 and close < pstdv2 then color.dark_orange else if close < pstdv2 and close > pavg then color.gray else if close < pavg and close > pstdv_2 then color.gray else Color.dark_gray);

# END CODE


If you would like a WATCHLIST, then use the below code.

Code: 
# WATCHLIST    Deviation Trend Profile [BigBeluga] - Thinkorswim Adaptation
# Converted from Pine Script v6
# Box plotting omitted (not supported in Thinkorswim)
# Assembled by Chewie 08/2025

input ColorBar = yes;
input length = 50;
input mult1 = 1;
input mult2 = 2;
input mult3 = 3;
input mult4 = 4;
input atrLength = 200;
input showTrendSignals = yes;
input averageType = AverageType.Simple;

# Theme colors
DefineGlobalColor("UpColor", Color.CYAN);
DefineGlobalColor("DownColor", Color.RED);

# Core calculations
def avg = movingAverage(averageType, close, length);
def atr = Average(TrueRange(high, close[1], low), atrLength);

def stdv1 = avg + atr * mult1;
def stdv2 = avg + atr * mult2;
def stdv3 = avg + atr * mult3;
def stdv4 = avg + atr * mult4;

def stdv_1 = avg - atr * mult1;
def stdv_2 = avg - atr * mult2;
def stdv_3 = avg - atr * mult3;
def stdv_4 = avg - atr * mult4;

# SMA slope
def avgDiff = avg - avg[5];

# Normalize slope for color intensity
def maxSlope = Highest(avgDiff, 500);
def minSlope = Lowest(avgDiff, 500);
def avgColNorm = if maxSlope != minSlope then (avgDiff - minSlope) / (maxSlope - minSlope) else 0;

# Gradient color simulation
def slopeUp = avgColNorm > 0.4;
def slopeDn = avgColNorm < 0.4;


# Trend detection
def trend = CompoundValue(1,
    if avgColNorm crosses above 0.55 then 1
    else if avgColNorm crosses below 0.45 then 0
    else trend[1], 0);

# Plotting deviation lines
def pStdv1 = stdv1;
def pStdv2 = stdv2;
def pStdv3 = stdv3;
def pStdv4 = stdv4;
def pStdv_1 = stdv_1;
def pStdv_2 = stdv_2;
def pStdv_3 = stdv_3;
def pStdv_4 = stdv_4;


# Plot average with dynamic color
plot pAvg = avg;
PAvg.assignvalueColor(if PAvg < PAvg[3] then color.red else color.green);
pAvg.SetLineWeight(3);


AssignBACKGROUNDColor(if !ColorBar then Color.CURRENT else if low < pstdv_4 then color.cyan else if high > pstdv4 then color.magenta else if close > pstdv_2 and close < pstdv_1 then color.light_green else if close > pstdv_3 and close < pstdv_2 then color.green else if close > pstdv_4 and close < pstdv_3 then color.dark_green else if low < pstdv_4 then color.cyan else if close < pstdv4 and close > pstdv3 then color.dark_red else if close < pstdv3 and close > pstdv2 then color.red else if close > pstdv1 and close < pstdv2 then color.dark_orange else if close < pstdv2 and close > pavg then color.gray else if close < pavg and close > pstdv_2 then color.gray else Color.dark_gray);



AddLabel(yes, if low < pstdv_4 then "XBUY" else if high > pstdv4 then "XSELL" else " ", if low < pstdv_4 THEN COLOR.blue ELSE IF high > pstdv4 then color.black else Color.BLACK);
Click to expand...
I'm quite surprised that there's not more interest, as this is a rather very useful indicator.
 
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