NQ Phantom Scalper Pro: Free TradingView Strategy (Pine Script)

Add It to Your TradingView Chart

1Copy the scriptPress Copy script above, or the copy button on the code below.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

296 lines of Pine Script v6 from NQ_Phantom_Scalper_Pro.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

NQ_Phantom_Scalper_Pro.pine

//@version=6
strategy("NQ Phantom Scalper Pro", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)

// === VWAP and Band Settings ===
anchor = input.string("Session", "Anchor Period", options=["Session", "Week", "Month", "Quarter", "Year"], group="VWAP")
src = input(hlc3, "Source", group="VWAP")
bandMult1 = input.float(1.0, "Band #1 Mult", minval=0.1, group="VWAP")
bandMult2 = input.float(2.0, "Band #2 Mult", minval=0.1, group="VWAP")

// === Volume Settings ===
volLookback = input.int(20, "Volume SMA Period", group="Volume")
volumeMultiplier = input.float(1.5, "Volume Spike Multiplier", group="Volume")
useVolumeFilter = input.bool(true, "Enable Volume Filter", group="Volume")

// === ATR Stop Loss Settings ===
atrLength = input.int(14, "ATR Length", group="Risk Management")
atrStopMult = input.float(1.0, "Stop Loss ATR Multiplier", group="Risk Management")
targetRatio = input.float(0.5, "Target Ratio (% to opposite band)", minval=0.1, maxval=1.0, group="Risk Management")

// === Time Filter ===
useTimeFilter = input.bool(true, "Enable Time Filter", group="Time Filter")
startHour = input.int(9, "Start Hour (12hr format)", minval=1, maxval=12, group="Time Filter")
startAMPM = input.string("AM", "Start AM/PM", options=["AM", "PM"], group="Time Filter")
endHour = input.int(4, "End Hour (12hr format)", minval=1, maxval=12, group="Time Filter")
endAMPM = input.string("PM", "End AM/PM", options=["AM", "PM"], group="Time Filter")
avoidLunch = input.bool(true, "Avoid Lunch Hours (12-2 PM)", group="Time Filter")

// === Trend Filter ===
useTrendFilter = input.bool(false, "Enable Trend Filter", group="Trend Filter")
trendLength = input.int(50, "Trend EMA Length", group="Trend Filter")

// === Dashboard Settings ===
showDashboard = input.bool(true, "Show Enhanced Dashboard", group="Dashboard")
dashboardPosition = input.string("Top Right", "Dashboard Position", options=["Top Left", "Top Right", "Bottom Left", "Bottom Right"], group="Dashboard")
dashboardSize = input.string("Normal", "Dashboard Size", options=["Small", "Normal", "Large"], group="Dashboard")

// === VWAP Anchor Logic ===
isNewPeriod = switch anchor
    "Session" => timeframe.change("D")
    "Week" => timeframe.change("W")
    "Month" => timeframe.change("M")
    "Quarter" => timeframe.change("3M")
    "Year" => timeframe.change("12M")
    => false

// === VWAP + Band Calculations ===
[vwapVal, stdUp, _] = ta.vwap(src, isNewPeriod, 1)
stdev = stdUp - vwapVal
upper1 = vwapVal + stdev * bandMult1
lower1 = vwapVal - stdev * bandMult1
upper2 = vwapVal + stdev * bandMult2
lower2 = vwapVal - stdev * bandMult2

// === Volume Analysis ===
volSMA = ta.sma(volume, volLookback)
volSpike = volume > volSMA * volumeMultiplier
relativeVolume = volume / volSMA

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

// === Time Filter ===
currentHour = hour(time, "America/New_York")

// Convert 12-hour format to 24-hour format
start24Hour = startAMPM == "AM" ? (startHour == 12 ? 0 : startHour) : (startHour == 12 ? 12 : startHour + 12)
end24Hour = endAMPM == "AM" ? (endHour == 12 ? 0 : endHour) : (endHour == 12 ? 12 : endHour + 12)

// Check if current time is within trading hours
timeInRange = currentHour >= start24Hour and currentHour <= end24Hour

// Check if it's lunch time (12 PM - 2 PM)
isLunchTime = avoidLunch and currentHour >= 12 and currentHour < 14

// Final time condition
timeOK = not useTimeFilter or (timeInRange and not isLunchTime)

// === Trend Filter ===
trendEMA = ta.ema(close, trendLength)
bullishTrend = close > trendEMA
bearishTrend = close < trendEMA

// === Performance Tracking Variables ===
var int totalTrades = 0
var int winTrades = 0
var int lossTrades = 0
var float dailyPnL = 0.0
var float maxDrawdown = 0.0
var float peakEquity = 0.0
var float totalPnL = 0.0
var int longTrades = 0
var int shortTrades = 0
var int longWins = 0
var int shortWins = 0
var float avgWin = 0.0
var float avgLoss = 0.0
var float totalWinAmount = 0.0
var float totalLossAmount = 0.0
var float largestWin = 0.0
var float largestLoss = 0.0

// Reset daily P&L at new day
if timeframe.change("D")
    dailyPnL := 0.0

// Track performance metrics
if strategy.closedtrades > totalTrades
    newTradeProfit = strategy.closedtrades.profit(strategy.closedtrades - 1)
    newTradeSize = strategy.closedtrades.size(strategy.closedtrades - 1)

    totalTrades := strategy.closedtrades
    totalPnL += newTradeProfit
    dailyPnL += newTradeProfit

    // Track wins vs losses
    if newTradeProfit > 0
        winTrades += 1
        totalWinAmount += newTradeProfit
        largestWin := math.max(largestWin, newTradeProfit)
        if newTradeSize > 0
            longWins += 1
        else
            shortWins += 1
    else if newTradeProfit < 0
        lossTrades += 1
        totalLossAmount += math.abs(newTradeProfit)
        largestLoss := math.max(largestLoss, math.abs(newTradeProfit))

    // Track long vs short
    if newTradeSize > 0
        longTrades += 1
    else
        shortTrades += 1

    // Calculate average win/loss
    avgWin := winTrades > 0 ? totalWinAmount / winTrades : 0
    avgLoss := lossTrades > 0 ? totalLossAmount / lossTrades : 0

// Track drawdown
currentEquity = strategy.initial_capital + strategy.netprofit
peakEquity := math.max(peakEquity, currentEquity)
currentDrawdown = peakEquity > 0 ? (peakEquity - currentEquity) / peakEquity * 100 : 0
maxDrawdown := math.max(maxDrawdown, currentDrawdown)

// === Enhanced Entry Conditions ===
// Long conditions
longVWAPCondition = close <= lower1
longVolumeCondition = not useVolumeFilter or volSpike
longTrendCondition = not useTrendFilter or bullishTrend
longCondition = longVWAPCondition and longVolumeCondition and longTrendCondition and timeOK and strategy.opentrades == 0

// Short conditions
shortVWAPCondition = close >= upper1
shortVolumeCondition = not useVolumeFilter or volSpike
shortTrendCondition = not useTrendFilter or bearishTrend
shortCondition = shortVWAPCondition and shortVolumeCondition and shortTrendCondition and timeOK and strategy.opentrades == 0

// === Position Management ===
var float longEntryPrice = na
var float shortEntryPrice = na

if (longCondition)
    longEntryPrice := close
    longTarget = longEntryPrice + (upper2 - longEntryPrice) * targetRatio
    longStop = longEntryPrice - atr * atrStopMult
    strategy.entry("Long", strategy.long)
    strategy.exit("TP/SL Long", from_entry="Long", limit=longTarget, stop=longStop)

if (shortCondition)
    shortEntryPrice := close
    shortTarget = shortEntryPrice - (shortEntryPrice - lower2) * targetRatio
    shortStop = shortEntryPrice + atr * atrStopMult
    strategy.entry("Short", strategy.short)
    strategy.exit("TP/SL Short", from_entry="Short", limit=shortTarget, stop=shortStop)

// === VWAP Mean Reversion Exit (Optional) ===
// Close long if price reaches VWAP
if (strategy.position_size > 0 and close >= vwapVal)
    strategy.close("Long", comment="VWAP Exit")

// Close short if price reaches VWAP
if (strategy.position_size < 0 and close <= vwapVal)
    strategy.close("Short", comment="VWAP Exit")

// === Plots ===
plot(vwapVal, "VWAP", color=color.blue, linewidth=2)
plot(upper1, "Upper Band 1", color=color.green, linewidth=1)
plot(lower1, "Lower Band 1", color=color.green, linewidth=1)
plot(upper2, "Upper Band 2", color=color.red, linewidth=1)
plot(lower2, "Lower Band 2", color=color.red, linewidth=1)

// Trend EMA plot (if enabled)
plot(useTrendFilter ? trendEMA : na, "Trend EMA", color=color.orange, linewidth=1)

// Background color for time filter
lunchColor = isLunchTime ? color.new(color.yellow, 85) : na
afterHoursColor = not timeInRange ? color.new(color.gray, 90) : na
bgcolor(useTimeFilter ? (not na(lunchColor) ? lunchColor : afterHoursColor) : na, title="Time Filter")

// === Enhanced Dashboard ===
if barstate.islast and showDashboard
    // Calculate metrics
    winRate = totalTrades > 0 ? winTrades / totalTrades * 100 : 0
    profitFactor = totalLossAmount > 0 ? totalWinAmount / totalLossAmount : 0
    expectancy = totalTrades > 0 ? totalPnL / totalTrades : 0
    longWinRate = longTrades > 0 ? longWins / longTrades * 100 : 0
    shortWinRate = shortTrades > 0 ? shortWins / shortTrades * 100 : 0

    // Dashboard position
    tablePosition = switch dashboardPosition
        "Top Left" => position.top_left
        "Top Right" => position.top_right
        "Bottom Left" => position.bottom_left
        "Bottom Right" => position.bottom_right
        => position.top_right

    // Dashboard size
    tableSize = switch dashboardSize
        "Small" => size.small
        "Normal" => size.normal
        "Large" => size.large
        => size.normal

    var table dashboardTable = table.new(tablePosition, 3, 16, bgcolor=color.new(color.white, 10), border_width=2, border_color=color.gray)

    // Header
    table.cell(dashboardTable, 0, 0, "📊 NQ PHANTOM SCALPER PRO", text_color=color.white, bgcolor=color.new(color.blue, 20), text_size=tableSize)
    table.cell(dashboardTable, 1, 0, "", bgcolor=color.new(color.blue, 20))
    table.cell(dashboardTable, 2, 0, "", bgcolor=color.new(color.blue, 20))
    table.merge_cells(dashboardTable, 0, 0, 2, 0)

    // Market Info
    table.cell(dashboardTable, 0, 1, "🎯 MARKET INFO", text_color=color.white, bgcolor=color.new(color.purple, 30), text_size=tableSize)
    table.cell(dashboardTable, 1, 1, "", bgcolor=color.new(color.purple, 30))
    table.cell(dashboardTable, 2, 1, "", bgcolor=color.new(color.purple, 30))
    table.merge_cells(dashboardTable, 0, 1, 2, 1)

    table.cell(dashboardTable, 0, 2, "VWAP", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 2, str.tostring(vwapVal, "#.##"), text_color=color.blue, text_size=tableSize)
    table.cell(dashboardTable, 2, 2, close > vwapVal ? "📈" : "📉", text_size=tableSize)

    table.cell(dashboardTable, 0, 3, "Current Price", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 3, str.tostring(close, "#.##"), text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 2, 3, "💰", text_size=tableSize)

    table.cell(dashboardTable, 0, 4, "Rel. Volume", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 4, str.tostring(relativeVolume, "#.##") + "x", text_color=relativeVolume > volumeMultiplier ? color.green : color.orange, text_size=tableSize)
    table.cell(dashboardTable, 2, 4, volSpike ? "🔥" : "📊", text_size=tableSize)

    table.cell(dashboardTable, 0, 5, "ATR", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 5, str.tostring(atr, "#.##"), text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 2, 5, "📏", text_size=tableSize)

    // Performance Metrics
    table.cell(dashboardTable, 0, 6, "📈 PERFORMANCE", text_color=color.white, bgcolor=color.new(color.green, 30), text_size=tableSize)
    table.cell(dashboardTable, 1, 6, "", bgcolor=color.new(color.green, 30))
    table.cell(dashboardTable, 2, 6, "", bgcolor=color.new(color.green, 30))
    table.merge_cells(dashboardTable, 0, 6, 2, 6)

    table.cell(dashboardTable, 0, 7, "Win Rate", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 7, str.tostring(winRate, "#.#") + "%", text_color=winRate >= 50 ? color.green : color.red, text_size=tableSize)
    table.cell(dashboardTable, 2, 7, winRate >= 60 ? "🎯" : winRate >= 50 ? "✅" : "❌", text_size=tableSize)

    table.cell(dashboardTable, 0, 8, "Total Trades", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 8, str.tostring(totalTrades), text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 2, 8, "🔢", text_size=tableSize)

    table.cell(dashboardTable, 0, 9, "Daily P&L", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 9, "$" + str.tostring(dailyPnL, "#.##"), text_color=dailyPnL > 0 ? color.green : dailyPnL < 0 ? color.red : color.gray, text_size=tableSize)
    table.cell(dashboardTable, 2, 9, dailyPnL > 0 ? "💚" : dailyPnL < 0 ? "❤️" : "💛", text_size=tableSize)

    table.cell(dashboardTable, 0, 10, "Total P&L", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 10, "$" + str.tostring(totalPnL, "#.##"), text_color=totalPnL > 0 ? color.green : totalPnL < 0 ? color.red : color.gray, text_size=tableSize)
    table.cell(dashboardTable, 2, 10, totalPnL > 0 ? "🚀" : totalPnL < 0 ? "💥" : "⚖️", text_size=tableSize)

    table.cell(dashboardTable, 0, 11, "Profit Factor", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 11, str.tostring(profitFactor, "#.##"), text_color=profitFactor > 1 ? color.green : color.red, text_size=tableSize)
    table.cell(dashboardTable, 2, 11, profitFactor > 1.5 ? "⭐" : profitFactor > 1 ? "✅" : "⚠️", text_size=tableSize)

    table.cell(dashboardTable, 0, 12, "Max Drawdown", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 12, str.tostring(maxDrawdown, "#.#") + "%", text_color=maxDrawdown > 10 ? color.red : maxDrawdown > 5 ? color.orange : color.green, text_size=tableSize)
    table.cell(dashboardTable, 2, 12, maxDrawdown > 15 ? "🚨" : maxDrawdown > 10 ? "⚠️" : "✅", text_size=tableSize)

    // Trade Breakdown
    table.cell(dashboardTable, 0, 13, "🔍 TRADE BREAKDOWN", text_color=color.white, bgcolor=color.new(color.orange, 30), text_size=tableSize)
    table.cell(dashboardTable, 1, 13, "", bgcolor=color.new(color.orange, 30))
    table.cell(dashboardTable, 2, 13, "", bgcolor=color.new(color.orange, 30))
    table.merge_cells(dashboardTable, 0, 13, 2, 13)

    table.cell(dashboardTable, 0, 14, "Long Win Rate", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 14, str.tostring(longWinRate, "#.#") + "% (" + str.tostring(longTrades) + ")", text_color=longWinRate >= 50 ? color.green : color.red, text_size=tableSize)
    table.cell(dashboardTable, 2, 14, "📈", text_size=tableSize)

    table.cell(dashboardTable, 0, 15, "Short Win Rate", text_color=color.black, text_size=tableSize)
    table.cell(dashboardTable, 1, 15, str.tostring(shortWinRate, "#.#") + "% (" + str.tostring(shortTrades) + ")", text_color=shortWinRate >= 50 ? color.green : color.red, text_size=tableSize)
    table.cell(dashboardTable, 2, 15, "📉", text_size=tableSize)

Overview

The VWAP can reset each session, week, month, quarter or year, with two adjustable band multipliers. A volume spike filter, a time-of-day filter with an optional lunch-hour exclusion, and an optional trend EMA filter gate entries. Stops are set from an ATR multiple and the target is a chosen fraction of the distance to the opposite band. Position size is a percentage of equity. A dashboard table can be shown, and everything draws on the price chart.

Anchored VWAP with two deviation bands
Volume spike filter
ATR-based stop and band-distance target
Time window with lunch exclusion
Optional trend EMA filter

Details

Published by

rosijay17-cmd on GitHub

Type

Strategy, Pine Script v6

Draws

On the price chart

Markets

Indices

Timeframes

M1-M5

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

File

NQ_Phantom_Scalper_Pro.pine

Repository

github.com/rosijay17-cmd/BackoBleedo. See its other scripts in the library

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

Setting	Type	Default	Variable
Anchor Period	`string`	`Session`	`anchor`
Source	`source`	`hlc3`	`src`
Band #1 Mult	`float`	`1.0`	`bandMult1`
Band #2 Mult	`float`	`2.0`	`bandMult2`
Volume SMA Period	`int`	`20`	`volLookback`
Volume Spike Multiplier	`float`	`1.5`	`volumeMultiplier`
Enable Volume Filter	`bool`	`true`	`useVolumeFilter`
ATR Length	`int`	`14`	`atrLength`
Stop Loss ATR Multiplier	`float`	`1.0`	`atrStopMult`
Target Ratio (% to opposite band)	`float`	`0.5`	`targetRatio`
Enable Time Filter	`bool`	`true`	`useTimeFilter`
Start Hour (12hr format)	`int`	`9`	`startHour`

Show all 21 settings

Setting	Type	Default	Variable
Start AM/PM	`string`	`AM`	`startAMPM`
End Hour (12hr format)	`int`	`4`	`endHour`
End AM/PM	`string`	`PM`	`endAMPM`
Avoid Lunch Hours (12-2 PM)	`bool`	`true`	`avoidLunch`
Enable Trend Filter	`bool`	`false`	`useTrendFilter`
Trend EMA Length	`int`	`50`	`trendLength`
Show Enhanced Dashboard	`bool`	`true`	`showDashboard`
Dashboard Position	`string`	`Top Right`	`dashboardPosition`
Dashboard Size	`string`	`Normal`	`dashboardSize`

Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

Similar Pine Scripts

Bollinger Bands Strategy with Intraday Intensity Index

by hasnocool

106

This strategy plots Bollinger Bands on the price chart using an EMA or SMA basis and a matching standard-deviation calculation. It enters long when price crosses back above the lower band and short when price crosses back below the upper band. An optional Intr

Strategy v4 Volatility & bandsMoving averages

Updated 2 years ago · GPL-3.0

Gold Scalping BOS & CHoCH with MA & Volume Filter

by cklose2000

105

This strategy combines Smart Money Concepts (BOS and CHoCH) with moving average trend filtering and volume spikes to generate trade signals. It checks for 20 EMA and 50 EMA alignment, along with volume 20% above its 20-period SMA. Long entries require a bullis

Strategy v6 SMC / ICT / price actionTrend

Updated 1 year ago · None stated

Ruckard Scalping 03

by ruckard

13

This strategy trades both long and short on the price chart. It enters long after a five percent or larger drop over the last thirty minutes and short after a matching rise. Two dollar-cost-averaging adds increase size when price moves against the position. A

Strategy v4 ScalpingMean reversion

Updated 1 year ago · None stated

Lazarus3 BTC Backtest

by ysdede

12

This is a Pine Script strategy that executes a fixed historical backtest on BTC-USD. It places multiple manual trades using strategy.order at specific timestamps and prices, with corresponding close conditions based on time. Some trades are long and some are s

Strategy v4 Mean reversionScalping

Updated 5 years ago · None stated

Enhanced DCA Strategy

by SynergOps

7

The Enhanced DCA Strategy invests a fixed dollar amount at regular intervals (daily, weekly or monthly) into the asset after start date, deducting trading fees and tracking total invested, units acquired, current value, profit, ROI, Sharpe ratio, Sortino ratio

Strategy v6 ScalpingMean reversion Repaints

Updated 1 year ago · MPL-2.0

Enhanced NQ1 Scalping Strategy

by Aksee123

7

Calculates volume profile levels over a lookback window to identify support, resistance, and Point of Control (POC) lines on the price chart. It executes trades based on price interaction with these low-volume zones, featuring customizable signal inversion and

Strategy v6 ScalpingVolume

Updated 1 year ago · None stated

More strategys

NQ Phantom Scalper Pro

Add It to Your TradingView Chart

Source Code

Overview

Details

Published by

Type

Draws

Category

Markets

Timeframes

Risk Notes

File

Repository

Settings

Similar Pine Scripts

Bollinger Bands Strategy with Intraday Intensity Index

Gold Scalping BOS & CHoCH with MA & Volume Filter

Ruckard Scalping 03

Lazarus3 BTC Backtest

Enhanced DCA Strategy

Enhanced NQ1 Scalping Strategy

Trade Your Charts With a Regulated Broker