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Pine Script

Welcome to my Pine Script project!

My goal is to provide the open source Pine Script community with a few resources and strategies that I have used in my trading analysis over many years.

My recommended tech stack for serious retail traders looking to automate their trading would be the below:

TradingView
GuruFocus
Composer
OptionAlpha
TradeStation

TradingView built Pine Script as the proprietary programming language for their platform and is the focus for this particular section of the project. 📈

The real trading super powers are realized when we combine these three tools together with API integrations, LLM models (such as ChatGPT), and real-time financial data to almost completely automate trading 🚀

But for now, dive in to some of my featured Pine Scripts to kick things off!

Jump right in to some of my featured Pine Script Content ⬇️

LEGAL STUFF

Copyright Notice

This project is licensed under the MIT License—a short and simple permissive license that allows anyone to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software. The only conditions are that the original copyright notice and this license text must be included in all copies or substantial portions of the software. The software is provided "as is," without warranty of any kind.

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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License.txt

Learn Pine Script

Free Resources

List of free resources to prioritize and utilize when looking to master Pine Script.

Learn Pine Script by starting with TradingView's detailed official documentation.

"The Art of Trading" has a phenomenal YouTube channel and serves up the best beginner guide on Pine Script. Almost 4 hours of 🔥 Pine Script wizardry.

Once you have established a mastery and understanding of the basics of Pine Script. You should explore the TradingView community scripts, where a significant portion are open source.

PineCoders has solid GitHub repositories thats worth checking out. They also have a Telegram account with over 5K members.

Featured Pine Script Strategies

Copy of 24-Hour Volume

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Below is a Pine Script designed to analyze the 24-hour trading volume and detect buying surges. The script calculates the 24-hour average trading volume and identifies surges when the current volume exceeds a predefined multiplier of the average.

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Indicators

24-Hour Volume

GitBook has a powerful block-based editor that allows you to seamlessly create, update, and enhance your content.

Writing content

GitBook offers a range of block types for you to add to your content inline — from simple text and tables, to code blocks and more. These elements will make your pages more useful to readers, and offer extra information and context.

Either start typing below, or press / to see a list of the blocks you can insert into your page.

Add a new block

Press / on your keyboard to open the insert block menu.

Search for the block you need

Try searching for “Stepper”, for exampe, to insert the stepper block.

Insert and edit your block

Click or press Enter to insert your block. From here, you’ll be able to edit it as needed.

Add a new block

Press / on your keyboard to open the insert block menu.

Search for the block you need

Try searching for “Stepper”, for exampe, to insert the stepper block.

Insert and edit your block

Click or press Enter to insert your block. From here, you’ll be able to edit it as needed

Add a new block

Press / on your keyboard to open the insert block menu.

Search for the block you need

Try searching for “Stepper”, for exampe, to insert the stepper block.

Insert and edit your block

Click or press Enter to insert your block. From here, you’ll be able to edit it as needed.

24-Hour Volume

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Arnaud Legoux Moving Average

This Pine Script provides a robust, customizable framework for trend detection and signal generation using the Arnaud Legoux Moving Average.

The Arnaud Legoux Moving Average (ALMA) is a modern moving average designed to provide both smoothness and responsiveness, reducing lag and filtering out market noise more effectively than traditional moving averages.

ALMA achieves this by applying a Gaussian filter and a unique weighting system, making it especially useful for identifying trends and potential reversals in financial markets. Traders often use ALMA to spot buy and sell opportunities by observing the relationship between price and the ALMA line, or by combining multiple ALMAs of different lengths for crossover strategies.

The indicator is highly customizable, allowing users to adjust its sensitivity and smoothness to fit their trading style

How This Script Detects Opportunities

Buy Signal

When the price crosses above the ALMA line, it suggests a potential uptrend and a buying opportunity.
If dual ALMA is enabled, a buy signal is also generated when the fast ALMA crosses above the slow ALMA.

Sell Signal

When the price crosses below the ALMA line, it suggests a potential downtrend and a selling opportunity.
If dual ALMA mode is enabled, a sell signal is also generated when the fast ALMA crosses below the slow ALMA.

Optional Enhancements

Dual ALMA Crossover

Enable a second ALMA for crossover strategies, which can help filter out false signals and confirm trend strength

Customizable Parameters

Adjust ALMA length, offset, and sigma for both lines to fine-tune responsiveness and smoothness for your market or timeframe

Alerts

Built-in alert conditions for all signal types, allowing for automated notifications.

Further Enhancements

Add stop-loss and take profit logic on ALMA or other support/resistance levels.

Auto Fibonacci Extension

The Auto Fibonacci Extension Strategy script draws based on the most recent swing high and swing low within a user-defined look back period.

It detects buy opportunities when price breaks above the swing high and sell opportunities when price breaks below the swing low.

How To Use This Script in Pine Editor

Copy the Script

Copy all the code above in its entirety.

Open TradingView Pine Editor

Navigate to tradingview.com
Open a chart
Click "Pine Editor" at the bottom of the screen

Paste and Add the Script

Paste the code in the Pine Editor
Click "Add to chart"

Customize Settings

Use the gear/settings icon to adjust look back period, select your preferred Fibonacci extension levels, and toggle labels or lines as you wish.

Set Alerts (Optional )

Click the "alerts" button in TradingView and select the "Buy Signal" or "Sell Signal" from this script for automatic notifications.

Advance/Decline Line

This PineScript indicator implements a comprehensive A/D Line analysis tool with moving average overlay, divergence detection, and customizable alerts. It helps traders identify market breadth trends and potential reversals through visual and automated signals.

//@version=6
indicator("Advance/Decline Line Analysis", shorttitle="A/D Line", overlay=false) 
 
// Input Parameters 
advancingSymbol = input.symbol("NYSE:ADVN", title="Advancing Stocks Symbol") 
decliningSymbol = input.symbol("NYSE:DECL", title="Declining Stocks Symbol") 
smoothingLength = input.int(20, minval=1, title="Smoothing Length") 
showMA = input.bool(true, title="Show Moving Average") 
alertOn = input.bool(true, title="Enable Alerts") 
 
// Fetch advancing and declining stocks data 
advancing = request.security(advancingSymbol, "D", close) 
declining = request.security(decliningSymbol, "D", close) 
 
// Calculate Net Advances 
netAdvances = advancing - declining 
 
// Calculate A/D Line (Cumulative Sum) 
adLine = ta.cum(netAdvances) 
 
// Calculate Moving Average of A/D Line 
adLineMA = ta.sma(adLine, smoothingLength) 
 
// Detect Divergence 
priceHigher = close > close[1] 
adLineLower = adLine < adLine[1] 
bearishDivergence = priceHigher and adLineLower 
 
priceLower = close < close[1] 
adLineHigher = adLine > adLine[1] 
bullishDivergence = priceLower and adLineHigher 
 
// Plotting 
plot(adLine, title="A/D Line", color=color.blue, linewidth=2) 
plot(showMA ? adLineMA : na, title="A/D Line MA", color=color.orange, linewidth=1) 
 
// Plot divergence signals 
plotshape(bearishDivergence and alertOn ? adLine : na, title="Bearish Divergence",  
    location=location.absolute, style=shape.triangledown, color=color.red, size=size.small) 
plotshape(bullishDivergence and alertOn ? adLine : na, title="Bullish Divergence",  
    location=location.absolute, style=shape.triangleup, color=color.green, size=size.small) 
 
// Alerts 
if alertOn 
    if bearishDivergence 
        alert("Bearish Divergence Detected", alert.freq_once_per_bar) 
    if bullishDivergence 
        alert("Bullish Divergence Detected", alert.freq_once_per_bar

Key Features and Components

Inputs

Advancing/Declining Symbols: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
Smoothing Length: adjustable period for the moving average (default:20)
Display Options: Toggle moving average visibility and alerts

Calculation Methods

Net Advances: (Advancing Stocks - Declining Stocks)
A/D Line: Cumulative sum of net advances using ta.cum( )
Moving Average: Simple Moving Average of the A/D line for trend identification.

Diversion Detection

Bearish Divergence: Price Making higher highs while A/D line makes lower highs.
Bullish Divergence: Price making lower lows while A/D line makes higher lows.

Suggested Use

Timeframe

Daily charts for optimal market breadth analysis.

Moving Average Period

Definitely reccomend 20 trading days.

Alert Settings

Enable specifically for automated bullish and bearish divergence detection.

Interpretation Guidelines

Uptrending A/D Line

Indicates broader market strength.

Downtrending A/D Line

Suggests market weakness.

Divergences

Watch for potential trend reversals when price and A/D line move in opposite directions.

Auto Fibonacci Retracement

Advanced Auto Fibonacci Retracement indicator that detects swing highs and lows, draws persistent Fibonacci levels between the most recent valid swing high/low pair, and and includes directional bias.

✅ Features:

Automatically detects recent swing high/low based on user-defined strength.
Adjusts Fibonacci levels based on trend direction.
Persistent multi-bar lines using line objects.
Optional label display.
Clean, professional structure, ready for enhancements.

//@version=6
indicator("Advanced Auto Fibonacci Retracement", overlay=true)

// === INPUTS ===
swingStrength = input.int(5, minval=1, title="Swing Strength")
showLabels = input.bool(true, title="Show Level Labels")
showOnlyLast = input.bool(true, title="Show Only Latest Levels")

// === DETECT SWINGS ===
pivotHigh = ta.pivothigh(high, swingStrength, swingStrength)
pivotLow = ta.pivotlow(low, swingStrength, swingStrength)

var float lastHigh = na
var float lastLow = na
var bool isUptrend = na

if not na(pivotHigh)
    lastHigh := pivotHigh
if not na(pivotLow)
    lastLow := pivotLow

// Detect trend direction
if not na(lastHigh) and not na(lastLow)
    isUptrend := bar_index > bar_index[swingStrength] and lastLow > lastLow[swingStrength]

// === CALCULATE FIB LEVELS ===
var line[] fibLines = array.new_line()
var label[] fibLabels = array.new_label()

// Function to clear lines and labels
f_clear_lines_and_labels() =>
    for l in fibLines
        line.delete(l)
    array.clear(fibLines)

    for lbl in fibLabels
        label.delete(lbl)
    array.clear(fibLabels)

if not na(lastHigh) and not na(lastLow)
    if (isUptrend and lastLow < lastHigh) or (not isUptrend and lastHigh > lastLow)
        f_clear_lines_and_labels()

        float diff = math.abs(lastHigh - lastLow)

        float base = isUptrend ? lastLow : lastHigh

        float fib_0   = base
        float fib_236 = base + (isUptrend ? diff * 0.236 : -diff * 0.236)
        float fib_382 = base + (isUptrend ? diff * 0.382 : -diff * 0.382)
        float fib_5   = base + (isUptrend ? diff * 0.5   : -diff * 0.5)
        float fib_618 = base + (isUptrend ? diff * 0.618 : -diff * 0.618)
        float fib_786 = base + (isUptrend ? diff * 0.786 : -diff * 0.786)
        float fib_1   = isUptrend ? lastHigh : lastLow

        // Levels and colors
        levels = array.from(fib_0, fib_236, fib_382, fib_5, fib_618, fib_786, fib_1)
        levelNames = array.from("0.0", "23.6%", "38.2%", "50.0%", "61.8%", "78.6%", "100.0%")
        levelColors = array.from(color.gray, color.teal, color.blue, color.purple, color.orange, color.red, color.gray)

        for i = 0 to array.size(levels) - 1
            y = array.get(levels, i)
            c = array.get(levelColors, i)
            l = line.new(x1=bar_index - 50, y1=y, x2=bar_index, y2=y, color=c, width=1)
            array.push(fibLines, l)

            if showLabels
                lbl = label.new(x=bar_index, y=y, text=array.get(levelNames, i), style=label.style_label_left, color=color.new(c, 70), textcolor=color.black)
                array.push(fibLabels, lbl)

🧠 How It Works:

Swings are detected using ta.pivothigh / ta.pivotlow with adjustable strength.
When both a high and a low are found, the script calculates the range and draws 7 Fibonacci levels.
The script dynamically clears and redraws the lines and labels as the market updates.
Works in both uptrends and downtrends, with the levels adapting accordingly.

Average Directional Index

Pine Script to help you visualize trend strength, spot trade signals, and filter out volatile markets.

The Average Directional Index (ADX) is a powerful tool for measuring trend strength, not direction.

//@version=6
indicator(title="Advanced ADX Trend Strength", shorttitle="AdvADX", overlay=false, format=format.price, precision=2)

// === User Inputs ===
len         = input.int(14, minval=1, title="DI Length")
lensig      = input.int(14, minval=1, maxval=50, title="ADX Smoothing")
adxThreshold= input.int(25, minval=1, maxval=100, title="ADX Threshold for Signals")
showSignals = input.bool(true, title="Show Buy/Sell Signals")

// === ADX & DI Calculation ===
[diplus, diminus, adx] = ta.dmi(len, lensig)

// === Plotting ===
plot(adx, color=color.red, title="ADX", linewidth=2)
plot(diplus, color=color.blue, title="+DI", linewidth=1)
plot(diminus, color=color.orange, title="-DI", linewidth=1)
hline(adxThreshold, "Trend Threshold", color=color.gray, linestyle=hline.style_dotted)

// === Signal Logic ===
bullCross = ta.crossover(diplus, diminus) and adx > adxThreshold
bearCross = ta.crossover(diminus, diplus) and adx > adxThreshold

// === Signal Plotting ===
plotshape(showSignals and bullCross, style=shape.triangleup, location=location.bottom, color=color.green, size=size.small, title="Buy Signal", text="BUY")
plotshape(showSignals and bearCross, style=shape.triangledown, location=location.top, color=color.red, size=size.small, title="Sell Signal", text="SELL")

Script Summary

DI Length and ADX Smoothing control indicator sensitivity

ADX Threshold filters out weak and volatile markets

Buy/Sell Signals are plotted only when the trend is strong and DI crossovers occur

Key Parameters Explained

DI Length (len)

The lookback period for calculating the Directional Indicators (+DI and -DI). A typical default is 14, but you can adjust this for sensitivity.

ADX Smoothing (lensig)

The smoothing factor for the ADX line itself. Higher values make the ADX less sensitive to short-term fluctuations.

IADX Threshold (adxthreshold):

The minimum ADX value to consider a trend “strong.” Commonly set at 20 or 25. Only signals above this level are considered valid.

Show Signals (showSignals)

Toggle to display buy/sell signals based on DI crossovers and ADX strength.

Optional Enhancements

Combine with RSI or Moving Averages:

Use ADX as a trend filter and RSI for overbought/oversold signals, or confirm trend direction with moving averages

Alerts:

Add alertcondition() for automated notifications when signals trigger.

Background Highlighting

Use bgcolor() to visually highlight strong trend periods.

Strategy Version:

Convert to a strategy script to backtest ADX-based entries and exits.

Average True Range

Below is a Pine Script (v6) that leverages the Average True Range (ATR) to generate dynamic signals. The script includes customizable parameters, optional enhancements, and plots background colors when alert conditions are met.

//@version=6
indicator("ATR Signal with Background Alerts", overlay=true)

// === Inputs ===
atrLength     = input.int(14, "ATR Length", minval=1)
atrMultiplier = input.float(1.5, "ATR Multiplier", minval=0.1)
signalType    = input.string("Breakout", title="Signal Type", options=["Breakout", "Reversal"])
showATR       = input.bool(false, "Show ATR Plot?")

// === ATR Calculation ===
atr = ta.atr(atrLength)

// === Signal Logic ===
breakoutUp   = close > close[1] + atr * atrMultiplier
breakoutDown = close < close[1] - atr * atrMultiplier
reversalUp   = close > high[1] + atr * atrMultiplier
reversalDown = close < low[1] - atr * atrMultiplier

longSignal  = signalType == "Breakout" ? breakoutUp : reversalUp
shortSignal = signalType == "Breakout" ? breakoutDown : reversalDown

// === Plotting ===
plot(showATR ? atr : na, title="ATR", color=color.orange, linewidth=2)
plotshape(longSignal,  title="Long Signal",  location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(shortSignal, title="Short Signal", location=location.abovebar, color=color.red,   style=shape.triangledown, size=size.small)

// === Background Coloring on Alerts ===
bgcolor(longSignal ? color.new(color.green, 85) : na, title="Long Signal BG")
bgcolor(shortSignal ? color.new(color.red, 85) : na, title="Short Signal BG")

// === Alerts ===
alertcondition(longSignal,  title="ATR Long Signal",  message="ATR-based LONG signal triggered!")
alertcondition(shortSignal, title="ATR Short Signal", message="ATR-based SHORT signal triggered!")

Key Parameters

ATR Length (atrLength)

Number of bars used to calculate ATR - default is 14

ATR Multiplier (atrMultiplier)

Mulitiplies the ATR value to set the threshold for signals. Default is 1.5

Signal Type (signalType)

Choose between "breakout" (Price moves more than ATR above/below previous close or "reversal" where price reverses by more than the ATR)

Show ATR Plot (showATR)

Optionally show the ATR line on the plot.

How It Works

ATR Calculation:

Uses ta.atr() to measure volatility over the slected period.

Signal Generation:

Breakout: Signals when price moves more than ATR * multiplier above or below the previous close.
Reversal: Signals when price reverses by more than ATR * multiplier from the previous high/low.

Visuals:

Plots up/down triangles for signals
Colors the chart background green/red when a signal is triggered.
Optionally plots the ATR line for reference.

Optional Enhancements

Add Trailing Stop Logic

Use ATR to plot dynamic stop-loss levels.

Multi-Timeframe ATR

Calculate ATR from a higher timeframe for more robust signals.

Combine with other indicators

Add RSI or moving average filters for confirmation.

Customizable Colors

Allow users to select their own background and signal colors.

Bollinger Bands

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Bollinger Bands %B

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Bollinger Bandwidth

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Chaikin MoneyFlow

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Chaikin Oscillator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Chande Kroll Stop

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Chande Momentum Oscilator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Chop Zone

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Choppiness Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Commodity Channel Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Connors RSI

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Coppock Curve

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Correlation Coefficient

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Cumulative Volume Delta

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Cumulative Volume Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Detrended Price Oscillator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Directional Movement Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Donchian Channels

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Double EMA

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Ease of Movement

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Elder Force Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Fischer Transform

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Historical Volatility

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Hull Moving Average

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Ichimoku Cloud

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Keltner Channels

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Klinger Oscillator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Least Squares Moving Average

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Linear Regression Channel

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

McGinley Dynamic

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Money Flow Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Moving Average Exponential

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Moving Average Ribbon

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Moving Average - Simple

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

On Balance Volume

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Parabolic SAR

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Pivot Points High Low

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Price Oscillator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Rank Correlation Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Rate of Change

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Relative Strength Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Relative Vigor Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Relative Volatility Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Rob Booker - Intra Day Pivot Points

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Rob Booker - Knoxville Divergence

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Rob Booker - Ziv Ghost Pivots

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

RSI Divergence Indicator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

SMI Ergodic Indicator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Stochastic Momentum Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

TRIX

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

True Strength Index

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Volatility Stop

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Volume Weighted Average Price

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Volume Weighted Moving Average

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Vortex Indicator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

//@version=6

indicator("Buying Surge Detector", overlay=true, shorttitle="Volume Surge") 

// Input parameters 

volumeMultiplier = input.float(1.5, title="Volume Surge Multiplier", minval=1.0) 

lookbackPeriod = input.int(1440, title="Lookback Period (Minutes)", minval=1)  // Default: 1440 minutes = 24 hours 

// Calculate average volume over the lookback period 

avgVolume = ta.sma(volume, lookbackPeriod) 


// Detect surges: Current volume > Average volume * Multiplier 

isSurge = volume > (avgVolume * volumeMultiplier) 


// Plot surge detection as a label on the chart 

plotshape(isSurge, style=shape.labelup, color=color.green, size=size.small, location=location.belowbar, title="Buying Surge") 

bgcolor(isSurge ? color.new(color.green, 90) : na, title="Background Highlight for Surge") 


// Debugging and informational plots 

plot(volume, color=color.blue, title="Current Volume") 

plot(avgVolume, color=color.orange, title="Average Volume")

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

alertcondition(isSurge, title="Buying Surge Alert", message="A buying surge has been detected!")

Using exponential moving average (ta.ema) instead of SMA

avgVolume = ta.ema(volume, lookbackPeriod)

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Williams Alligator

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Williams Fractals

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Williams Percent Range

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Woodies CCI

Pine Script to Detect Buying Surges Based on 24-Hour Trading Volume

Script Details

Inputs

volumeMultiplier: defines how much higher the current volume must be in comparison to the average volume to trigger a "surge". Default is 1.5 (150% of the average volume)
lookbackPeriod: this is how far the script will look back to calculate the average volume. Default is is set to 1440 minutes (24 hours of 1-minute candles)

Logic

The script calculates the simple moving average (SMA) of volume over the pre-defined lookback period (avgVolume)
It then checks if the current volume exceeds the average volume multiplied by the defined volumeMultiplier.
If the condition is met, a buying surge is detected.

Visual Output

A green label (shape.labelup) is drawn on the chart below bars where a buying surge is detected.
The background is also highlighted faintly green during surges for additional visibility (bgcolor).
Two plots are added for reference: Current Volume (blue line) and Average Volume (orange volume)

Suggested Use

Set the timeframe of your analysis

Use this indicator on a lower timeframe (1 minute or 5 minute charts). This script aggregates volume based on the lookbackPeriod parameter, so ensure this aligns with your strategy.

Adjust the multiplier to your trading strategy

Modify the the VolumeMultiplier input to fine-tune the surge detection sensitivity. A higher multiple is better because it will result in fewer but more significant surges.

Interpret the resulting signals

A green label or background indicates a potential buying surge, which points to increased liquidity and interest in the asset.

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Filtering based on price action (only detect surges when the close price is higher than the open price)

Page 3

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Page 4

//@version=6 indicator("Auto Fibonacci Extension (No range function)", overlay=true) // === INPUTS === lookback = input.int(50, "Swing Lookback Period", minval=10) fib_levels_in = input.string("1.0,1.272,1.618,2.0", "Fib Extension Levels (comma-separated)") show_labels = input.bool(true, "Show Buy/Sell Labels") show_fib = input.bool(true, "Show Fib Extension Lines") // === FIND SWING HIGH/LOW === swing_high = ta.highest(high, lookback) swing_low = ta.lowest(low, lookback) swing_range = swing_high - swing_low // === FIB EXTENSION LEVELS === fib_levels = array.new_float() for lvl_str in str.split(fib_levels_in, ",") lvl = str.tonumber(lvl_str) array.push(fib_levels, lvl) // === PLOT FIB EXTENSIONS === if show_fib for i = 0 to array.size(fib_levels) - 1 lvl = array.get(fib_levels, i) fib_price = swing_high + swing_range * (lvl - 1) line.new(bar_index - lookback, fib_price, bar_index, fib_price, color=color.purple, style=line.style_dotted, width=1) // === SIGNALS === buy_signal = ta.crossover(close, swing_high) sell_signal = ta.crossunder(close, swing_low) // === VISUAL OUTPUTS === plotshape(buy_signal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Buy") plotshape(sell_signal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Sell") if show_labels if buy_signal label.new(bar_index, swing_high, "Buy\nBreakout", style=label.style_label_up, color=color.green, textcolor=color.white) if sell_signal label.new(bar_index, swing_low, "Sell\nBreakdown", style=label.style_label_down, color=color.red, textcolor=color.white) // === ALERTS === alertcondition(buy_signal, title="Buy Signal", message="Price broke above recent swing high (Auto Fib Extension)") alertcondition(sell_signal, title="Sell Signal", message="Price broke below recent swing low (Auto Fib Extension)") // === OPTIONAL ENHANCEMENTS === // - Add take-profit/stop-loss suggestions based on extension or retracement levels. // - Combine with other indicators (e.g., RSI, MACD) for confirmation. // - Allow multi-timeframe swing detection for broader trend context. // - Visual highlight of active extension zone. // - Add trailing stop or dynamic risk management features.

//@version=6 indicator("ALMA Trend & Signal Detector", overlay=true, shorttitle="ALMA Signals") // === INPUTS === almaLen = input.int(20, "ALMA Length", minval=1) almaOffset = input.float(0.85, "ALMA Offset", step=0.01) almaSigma = input.float(6, "ALMA Sigma", minval=1) showCrossover = input.bool(true, "Show ALMA/Price Cross Signals") showDualALMA = input.bool(false, "Enable Dual ALMA Crossover") almaLen2 = input.int(50, "Second ALMA Length", minval=1, group="Dual ALMA Settings") almaOffset2 = input.float(0.85, "Second ALMA Offset", step=0.01, group="Dual ALMA Settings") almaSigma2 = input.float(6, "Second ALMA Sigma", minval=1, group="Dual ALMA Settings") // === ALMA CALCULATION === alma = ta.alma(close, almaLen, almaOffset, almaSigma) alma2 = showDualALMA ? ta.alma(close, almaLen2, almaOffset2, almaSigma2) : na // === SIGNALS === // Price/ALMA cross buyPriceCross = showCrossover and ta.crossover(close, alma) sellPriceCross = showCrossover and ta.crossunder(close, alma) // Dual ALMA cross buyAlmaCross = showDualALMA and ta.crossover(alma, alma2) sellAlmaCross = showDualALMA and ta.crossunder(alma, alma2) // === PLOTTING === plot(alma, color=color.blue, linewidth=2, title="ALMA") plot(showDualALMA ? alma2 : na, color=color.orange, linewidth=2, title="ALMA 2") plotshape(buyPriceCross, title="Buy (Price/ALMA)", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="Buy") plotshape(sellPriceCross, title="Sell (Price/ALMA)", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="Sell") plotshape(buyAlmaCross, title="Buy (ALMA/ALMA)", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.tiny, text="XBuy") plotshape(sellAlmaCross, title="Sell (ALMA/ALMA)", style=shape.triangledown, location=location.abovebar, color=color.maroon, size=size.tiny, text="XSell") bgcolor(close > alma ? color.new(color.green, 92) : color.new(color.red, 92), title="Trend Background") // === ALERTS === alertcondition(buyPriceCross, title="Buy Signal (Price/ALMA)", message="ALMA Buy Signal: Price crossed above ALMA") alertcondition(sellPriceCross, title="Sell Signal (Price/ALMA)", message="ALMA Sell Signal: Price crossed below ALMA") alertcondition(buyAlmaCross, title="Buy Signal (ALMA/ALMA)", message="ALMA Buy Signal: Fast ALMA crossed above Slow ALMA") alertcondition(sellAlmaCross, title="Sell Signal (ALMA/ALMA)", message="ALMA Sell Signal: Fast ALMA crossed below Slow ALMA")

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Copy of 24-Hour Volume

Script Details

Inputs

Logic

Visual Output

Suggested Use

Set the timeframe of your analysis

Adjust the multiplier to your trading strategy

Interpret the resulting signals

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Indicators

24-Hour Volume

Writing content

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Open the insert block menu

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24-Hour Volume

Script Details

Inputs

Logic

Visual Output

Suggested Use

Set the timeframe of your analysis

Adjust the multiplier to your trading strategy

Interpret the resulting signals

Optional Enhancements

Add Alerts for when surges are detected

Using exponential moving average (ta.ema) instead of SMA

Filtering based on price action

Arnaud Legoux Moving Average

How This Script Detects Opportunities

Buy Signal

Sell Signal

Optional Enhancements

Dual ALMA Crossover

Customizable Parameters

Alerts

Further Enhancements

Auto Fibonacci Extension

How To Use This Script in Pine Editor

Copy the Script

Open TradingView Pine Editor

Paste and Add the Script

Customize Settings

Set Alerts (Optional )

Advance/Decline Line

Key Features and Components

Inputs

Calculation Methods

Diversion Detection

Suggested Use

Timeframe

Moving Average Period

Alert Settings

Interpretation Guidelines

Uptrending A/D Line

Downtrending A/D Line

Divergences

Auto Fibonacci Retracement