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// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © BullByte
//Please check detailed notes on Quantum Flux Candles
//@version=6
indicator("Ultimate Scalping Tool[BullByte]", shorttitle="UST[BullByte]", overlay=false, format=format.price, precision=2)
// ********** Market Mode & Inputs **********
marketMode = input.string("Custom", title="Market Mode", options=["Crypto", "Stocks", "Options", "Forex", "Custom"], group="Market Mode Settings")
// ********** Input Groups Reorganization **********
// Current TF Inputs
adxlen_input = input.int(14, title="ADX Smoothing", group="Inputs")
diLen_input = input.int(14, title="DI Length", group="Inputs")
rsiPeriod_input = input.int(14, title="RSI Period (Momentum)", minval=1, group="Inputs")
atrPeriod_input = input.int(14, title="ATR Period (Volatility)", minval=1, group="Inputs")
cmfPeriod_input = input.int(20, title="CMF Period (Volume Pressure)", minval=1, group="Inputs")
normLookback_input = input.int(50, title="Normalization Lookback", minval=10, group="Inputs")
wTrend_input = input.float(0.25, title="Trend Weight", step=0.05, group="Inputs")
wMomentum_input = input.float(0.25, title="Momentum Weight", step=0.05, group="Inputs")
wVolatility_input = input.float(0.25, title="Volatility Weight", step=0.05, group="Inputs")
wVolume_input = input.float(0.25, title="Volume Pressure Weight", step=0.05, group="Inputs")
deltaSmoothing = input.int(3, title="Oscillator Delta Smoothing", minval=1, group="Inputs")
// Set parameters based on Market Mode
adxlen = marketMode == "Crypto" ? 10 : marketMode == "Stocks" ? 14 : marketMode == "Options" ? 20 : marketMode == "Forex" ? 12 : adxlen_input
rsiPeriod = marketMode == "Crypto" ? 12 : marketMode == "Stocks" ? 14 : marketMode == "Options" ? 10 : marketMode == "Forex" ? 10 : rsiPeriod_input
atrPeriod = marketMode == "Crypto" ? 10 : marketMode == "Stocks" ? 14 : marketMode == "Options" ? 14 : marketMode == "Forex" ? 10 : atrPeriod_input
cmfPeriod = marketMode == "Crypto" ? 14 : marketMode == "Stocks" ? 20 : marketMode == "Options" ? 20 : marketMode == "Forex" ? 10 : cmfPeriod_input
normLookback = marketMode == "Crypto" ? 30 : marketMode == "Stocks" ? 50 : marketMode == "Options" ? 50 : marketMode == "Forex" ? 30 : normLookback_input
wTrend = marketMode == "Crypto" ? 0.2 : marketMode == "Stocks" ? 0.4 : marketMode == "Options" ? 0.3 : marketMode == "Forex" ? 0.3 : wTrend_input
wMomentum = marketMode == "Crypto" ? 0.3 : marketMode == "Stocks" ? 0.2 : marketMode == "Options" ? 0.2 : marketMode == "Forex" ? 0.3 : wMomentum_input
wVolatility = marketMode == "Crypto" ? 0.3 : marketMode == "Stocks" ? 0.2 : marketMode == "Options" ? 0.4 : marketMode == "Forex" ? 0.2 : wVolatility_input
wVolume = marketMode == "Crypto" ? 0.2 : marketMode == "Stocks" ? 0.2 : marketMode == "Options" ? 0.1 : marketMode == "Forex" ? 0.2 : wVolume_input
// HTF Inputs
higher_tf_input = input.string("15", title="Higher Timeframe (e.g., 15, 60, D)", group="HTF")
higher_tf = marketMode == "Crypto" ? "15" : marketMode == "Stocks" ? "D" : marketMode == "Options" ? "D" : marketMode == "Forex" ? "60" : higher_tf_input
useLeadingHTF = input.bool(true, title="Use Leading HTF Filter", group="HTF",
tooltip="When enabled, applies higher timeframe EMA crossover filter to signals")
// ********** Style/Lines Group **********
showFixedLines = input.bool(true, title="Show Fixed Reference Lines", group="Style / Lines")
fixedUpperLevel = input.float(25.0, title="Fixed Upper Level", step=0.1, group="Style / Lines")
fixedLowerLevel = input.float(-25.0, title="Fixed Lower Level", step=0.1, group="Style / Lines")
fixedLineColor = input.color(color.blue, title="Fixed Lines Color", group="Style / Lines")
fixedLineWidth = input.int(2, title="Fixed Lines Width", minval=1, maxval=5, group="Style / Lines")
bullBackground = input.color(color.new(color.green, 85), title="Bullish Background", group="Style / Lines")
bearBackground = input.color(color.new(color.red, 85), title="Bearish Background", group="Style / Lines")
neutralBackground = input.color(color.new(color.gray, 90), title="Neutral Background", group="Style / Lines")
// ********** Filters Group with Info Button **********
enableReversalFilter = input.bool(false, "Enable DI Reversal Filter", group="Filters", tooltip="Dynamic reversal confirmation (3 bars if ADX>30, else 2).")
useDynamicThresholds = input.bool(false, title="Use Dynamic Thresholds", group="Filters", tooltip="Enable dynamic upper/lower oscillator thresholds.")
dynMultiplier = input.float(0.5, title="Dynamic Threshold Multiplier", step=0.1, group="Filters")
adaptiveWeightsEnabled = input.bool(true, "Enable Adaptive Weighting", group="Filters", tooltip="Auto-adjusts oscillator weights by trend, momentum & volatility.")
volatilityRegimeThreshold = input.float(0.025, "Volatility Threshold", step=0.001, group="Filters")
useEarlySignal = input.bool(false, "Enable Early Signal Condition", group="Filters", tooltip="Enables early signal condition based on oscillator delta.")
earlyDeltaThreshold = input.float(0.5, title="Early Oscillator Delta Threshold", group="Filters")
// ********** Dashboard Settings **********
shortDashboard = input.bool(false, title="Short Dashboard", group="Dashboard")
dashboardTextSize = input.string("Small", title="Dashboard Text Size", options=["Tiny", "Small", "Normal"], group="Dashboard")
dashboardTextSizeConst = dashboardTextSize == "Tiny" ? size.tiny : dashboardTextSize == "Small" ? size.small : size.normal
// New Filters Status Panel
showFiltersPanel = input.bool(true, title="Show Filters Status Panel", group="Dashboard")
filtersPanelPosition = input.string("bottom_left", title="Filters Panel Position", options=["top_right", "bottom_right", "top_left", "bottom_left"], group="Dashboard")
filtersPanelSize = input.string("Small", title="Filters Panel Size", options=["Tiny", "Small", "Normal"], group="Dashboard")
filtersPanelSizeConst = filtersPanelSize == "Tiny" ? size.tiny : filtersPanelSize == "Small" ? size.small : size.normal
// ********** Calculations **********
// DI Smoothing Setup
diLen = diLen_input
// Functions & Helpers
dirmovCustom(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? 0 : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? 0 : (down > up and down > 0 ? down : 0)
truerange = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
[plus, minus]
[plusDI, minusDI] = dirmovCustom(diLen)
adxFunc(_adxlen) =>
100 * ta.rma(math.abs(plusDI - minusDI) / ((plusDI + minusDI)==0 ? 1 : (plusDI + minusDI)), _adxlen)
f_htfLeading() =>
htf_ema_short = request.security(syminfo.tickerid, higher_tf, ta.ema(close, 9),lookahead=barmerge.lookahead_off)
htf_ema_long = request.security(syminfo.tickerid, higher_tf, ta.ema(close, 21),lookahead=barmerge.lookahead_off)
htf_ema_short > htf_ema_long ? 1.0 : htf_ema_short < htf_ema_long ? -1.0 : 0.0
f_getAdvancedSignalColor(signalText) =>
var color result = color.new(color.gray, 0)
if signalText == "Strong Buy"
result := color.new(color.green, 0)
else if signalText == "Strong Sell"
result := color.new(color.red, 0)
else if signalText == "Momentum Peak - Consider Exit"
result := color.new(color.orange, 0)
else if signalText == "Early Buy - Momentum Building"
result := color.new(color.lime, 0)
else if signalText == "Early Sell - Momentum Building"
result := color.new(color.orange, 0)
else if signalText == "Pullback Buy - Re-entry"
result := color.new(color.green, 0)
else if signalText == "Pullback Sell - Re-entry"
result := color.new(color.red, 0)
else if signalText == "Watch - Weakening Momentum" or signalText == "Caution - Momentum Weak"
result := color.new(color.yellow, 0)
result
// Calculations: Current TF Signals
adxValue = adxFunc(adxlen)
trendDir = plusDI >= minusDI ? 1.0 : -1.0
normTrend = trendDir * math.min(math.max((adxValue - 20) / 20, 0.0), 1.0)
rsiValue = ta.rsi(close, rsiPeriod)
normMomentum = (rsiValue - 50) / 50
atrValue = ta.atr(atrPeriod)
atrRatio = atrValue / close
atrRatioHigh = ta.highest(atrRatio, normLookback)
atrRatioLow = ta.lowest(atrRatio, normLookback)
normVolatility_raw = (atrRatio - atrRatioLow) / math.max((atrRatioHigh - atrRatioLow), 0.0001)
normVolatility = normVolatility_raw * 2 - 1
moneyFlowMultiplier = ((close - low) - (high - close)) / math.max(high - low, 0.0001)
moneyFlowVolume = moneyFlowMultiplier * volume
smoothedMFV = ta.sma(moneyFlowVolume, cmfPeriod)
smoothedVolume = ta.sma(volume, cmfPeriod)
cmfValue = smoothedMFV / math.max(smoothedVolume, 0.0001)
normCMF = math.min(math.max(cmfValue, -1), 1)
// ********** Adaptive Weighting & Oscillator Calculation **********
dynamicTrendWeight = adxValue > 25 ? wTrend * 1.5 : wTrend * 0.75
dynamicVolatilityWeight = atrRatio > volatilityRegimeThreshold ? wVolatility * 2.0 : wVolatility * 0.5
dynamicMomentumWeight = math.abs(rsiValue - 50) > 30 ? wMomentum * 1.2 : wMomentum * 0.8
totalWeight = adaptiveWeightsEnabled ?
(dynamicTrendWeight + dynamicMomentumWeight + dynamicVolatilityWeight + wVolume) :
(wTrend + wMomentum + wVolatility + wVolume)
if totalWeight == 0
totalWeight := 1.0
oscillator_raw = (adaptiveWeightsEnabled ?
(dynamicTrendWeight * normTrend +
dynamicMomentumWeight * normMomentum +
dynamicVolatilityWeight * normVolatility +
wVolume * normCMF) :
(wTrend * normTrend +
wMomentum * normMomentum +
wVolatility * normVolatility +
wVolume * normCMF)) / totalWeight
oscillator = oscillator_raw * 100
oscDelta = oscillator - oscillator[1]
oscDeltaSmooth = ta.sma(oscDelta, deltaSmoothing)
osc_std = ta.stdev(oscillator, 50)
// ********** Quantum Flux Candle Section **********
qfcDisplayMode = input.string("Quantum Flux Candle",
title="Oscillator Display",
options=["Line","Quantum Flux Candle"],
group="Quantum Flux Settings")
qfc_show = input.bool(true,
title="Show Quantum Flux Candle",
group="Quantum Flux Settings")
qfc_up_col = input.color(color.new(color.green,0),
title="Up Color", group="Quantum Flux Settings")
qfc_dn_col = input.color(color.new(#EB4C42,0),
title="Down Color", group="Quantum Flux Settings")
qfcMA_len = input.int(10,
title="Flux MA Period", group="Quantum Flux Settings")
qfcScale = input.float(100.0,
title="Flux Candle Scale", group="Quantum Flux Settings")
// normalize range 0–100 oscillator back to 0–1 for MA
FM = oscillator / qfcScale
FM_can = FM[1]
// compute moving average on the normalized FM
qfcMA = ta.ema(FM, qfcMA_len)
plot(FM * qfcScale, title="FM (Flux Oscillator)", style=plot.style_line, linewidth=1, color=color.new(color.blue, 0))
plot(qfcMA * qfcScale, title="Flux MA", style=plot.style_line, linewidth=1, color=color.new(color.orange, 0))
// line-mode plot (re-scaled to 0–100)
qfcLine = qfcDisplayMode=="Line" ? FM * qfcScale : na
plot(qfcLine,
title="QF Oscillator Line",
style=plot.style_line,
linewidth=2,
color=FM >= 0 ? color.green : color.red)
// candle OHLC (scaled to 0–100)
qfc_open = qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? FM_can * qfcScale : na
qfc_high = qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? FM * qfcScale : na
qfc_low = qfcDisplayMode=="Quantum Flux Candle" and qfc_show
? math.min(FM_can, FM) * qfcScale
: na
qfc_close = qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? FM * qfcScale : na
// color logic via MA filter
qfc_bull = FM > qfcMA
qfc_bear = FM < qfcMA
qfc_col = qfc_bull ? qfc_up_col : qfc_bear ? qfc_dn_col : color.gray
// Dynamic thresholds recalculated every
minStd = 0.1
stableStd = nz(osc_std, minStd)
stableStd := math.max(stableStd, minStd)
dynamicThresholdUpper = 25 + stableStd * dynMultiplier
dynamicThresholdLower = -25 - stableStd * dynMultiplier
dynamicPeakUpper = 35 + stableStd * dynMultiplier
dynamicPeakLower = -35 - stableStd * dynMultiplier
buyThreshold = useDynamicThresholds ? dynamicThresholdUpper : 25
sellThreshold = useDynamicThresholds ? dynamicThresholdLower : -25
peakThresholdUpper = useDynamicThresholds ? dynamicPeakUpper : 35
peakThresholdLower = useDynamicThresholds ? dynamicPeakLower : -35
strongBullishMomentum = oscillator > buyThreshold
strongBearishMomentum = oscillator < sellThreshold
neutralMomentum = math.abs(oscillator) <= buyThreshold
pullbackBuy = neutralMomentum and (normTrend > 0.2)
pullbackSell = neutralMomentum and (normTrend < -0.2)
// ********** Signal Generation **********
var string tradeSignal = "No Trade"
if (strongBullishMomentum and (normTrend > 0.2))
tradeSignal := "Strong Buy"
else if (strongBearishMomentum and (normTrend < -0.2))
tradeSignal := "Strong Sell"
else if (pullbackBuy)
tradeSignal := "Pullback Buy"
else if (pullbackSell)
tradeSignal := "Pullback Sell"
else
tradeSignal := "No Trade"
// Early Signal Logic moved before main signal override
string advancedSignal = "No Trade"
if useEarlySignal
if (oscillator < buyThreshold) and (oscDeltaSmooth > earlyDeltaThreshold) and (normTrend > 0.2)
advancedSignal := "Early Buy - Momentum Building"
else if (oscillator < sellThreshold) and (oscDeltaSmooth < -earlyDeltaThreshold) and (normTrend < -0.2)
advancedSignal := "Early Sell - Momentum Building"
if advancedSignal == "No Trade"
if (trendDir > 0)
if (oscillator > peakThresholdUpper)
advancedSignal := oscDeltaSmooth < 0 ? "Momentum Peak - Consider Exit" : "Strong Buy"
else if (oscillator > buyThreshold and oscillator <= peakThresholdUpper)
advancedSignal := oscDeltaSmooth > 0 ? "Early Buy - Momentum Building" : "Watch - Weakening Momentum"
else if (oscillator > 0 and oscillator <= buyThreshold)
advancedSignal := oscDeltaSmooth > 0 ? "Pullback Buy - Re-entry" : "Caution - Momentum Weak"
else
advancedSignal := "No Trade"
else if (trendDir < 0)
if (oscillator < peakThresholdLower)
advancedSignal := oscDeltaSmooth > 0 ? "Momentum Peak - Consider Exit" : "Strong Sell"
else if (oscillator < sellThreshold and oscillator >= peakThresholdLower)
advancedSignal := oscDeltaSmooth < 0 ? "Early Sell - Momentum Building" : "Watch - Weakening Momentum"
else if (oscillator < 0 and oscillator >= sellThreshold)
advancedSignal := oscDeltaSmooth < 0 ? "Pullback Sell - Re-entry" : "Caution - Momentum Weak"
else
advancedSignal := "No Trade"
else
advancedSignal := "No Trade"
advancedSignalColor = f_getAdvancedSignalColor(advancedSignal)
// ————— HTF ADX helper (for use inside security) —————
f_htfADX_HTF(_len) =>
tf_up = ta.change(high)
tf_down = -ta.change(low)
tf_plusDM = (tf_up > tf_down and tf_up > 0) ? tf_up : 0
tf_minusDM = (tf_down > tf_up and tf_down > 0) ? tf_down : 0
tf_tr = ta.rma(ta.tr, _len)
tf_plus = fixnan(100 * ta.rma(tf_plusDM, _len) / tf_tr)
tf_minus = fixnan(100 * ta.rma(tf_minusDM, _len) / tf_tr)
tf_adx = 100 * ta.rma(
math.abs(tf_plus - tf_minus) /
(tf_plus + tf_minus == 0 ? 1 : tf_plus + tf_minus),
_len
)
dir = tf_plus >= tf_minus ? 1.0 : -1.0
dir * math.min(math.max((tf_adx - 20) / 20, 0.0), 1.0)
// ********** HTF Trend Filter **********
var float htf_trend_value = na
if useLeadingHTF
htf_trend_value := f_htfLeading()
else
htf_trend_value := request.security(syminfo.tickerid, higher_tf, f_htfADX_HTF(adxlen))
htfTrendStatus = useLeadingHTF ?
(htf_trend_value == 1.0 ? "Bullish" :
htf_trend_value == -1.0 ? "Bearish" :
"Neutral") :
"HTF Filter: Off"
// ********** Dynamic DI Reversal Filter **********
diDiff = plusDI - minusDI
diDiffSma = ta.sma(diDiff, 3)
var int reversalHoldBars = 0
reversalConfirmed = (adxValue > 30) and (diDiff < 0) and (diDiffSma < 0)
if reversalConfirmed
reversalHoldBars += 1
else
reversalHoldBars := 0
dynamicReversalThreshold = adxValue > 30 ? 3 : 2
realReversal = reversalHoldBars >= dynamicReversalThreshold
var int reversalHoldBarsUp = 0
reversalConfirmedUp = (adxValue > 30) and (diDiff > 0) and (diDiffSma > 0)
if reversalConfirmedUp
reversalHoldBarsUp += 1
else
reversalHoldBarsUp := 0
realReversalUp = reversalHoldBarsUp >= dynamicReversalThreshold
if enableReversalFilter and (adxValue > 30) and
((trendDir < 0 and not realReversal) or (trendDir > 0 and not realReversalUp))
tradeSignal := "No Trade"
advancedSignal := "No Trade"
// ********** Background Color Based on ADX & DI **********
var color bgColorFinal = na
if adxValue < 20
bgColorFinal := neutralBackground
else
if trendDir > 0
bgColorFinal := adxValue < 30 ? bullBackground : color.new(bullBackground, 70)
else if trendDir < 0
bgColorFinal := adxValue < 30 ? bearBackground : color.new(bearBackground, 70)
else
bgColorFinal := neutralBackground
bgcolor(bgColorFinal)
//Declaring Vwap
vwap_val = ta.vwap(close)
// ********** Final Quantum Flux Candle Color Calculation **********
bullishCondition = (tradeSignal == "Strong Buy") and (advancedSignal == "Strong Buy") and ((useLeadingHTF and (htf_trend_value == 1.0)) or (not useLeadingHTF))
bearishCondition = (tradeSignal == "Strong Sell") and (advancedSignal == "Strong Sell") and ((useLeadingHTF and (htf_trend_value == -1.0)) or (not useLeadingHTF))
final_qfc_bar_color = bullishCondition ? color.yellow : bearishCondition ? color.purple :
(oscillator >= 0 ? qfc_up_col : qfc_dn_col)
// ********** Oscillator / Quantum Flux Candle Plotting **********
oscColor = oscillator >= 0 ? color.new(color.green, 0) : color.new(color.red, 0)
plotcandle(qfc_open, qfc_high, qfc_low, qfc_close, title="Quantum Flux Candle",
color=(qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? final_qfc_bar_color : na),
bordercolor=(qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? final_qfc_bar_color : na),
wickcolor=(qfcDisplayMode=="Quantum Flux Candle" and qfc_show ? final_qfc_bar_color : na))
// Fixed reference lines
hline(showFixedLines ? fixedUpperLevel : na, "Fixed Upper Ref", color=fixedLineColor, linewidth=fixedLineWidth, linestyle=hline.style_dotted)
hline(showFixedLines ? fixedLowerLevel : na, "Fixed Lower Ref", color=fixedLineColor, linewidth=fixedLineWidth, linestyle=hline.style_dotted)
// ********** Dynamic Bands Calculation **********
useDynamicBands = input.bool(false, title="Enable Dynamic Bands", group="Style / Lines")
bandLength = input.int(20, "Band Length", minval=5, group="Style / Lines")
bandMultiplier = input.float(1.5, "Band Multiplier", step=0.1, group="Style / Lines")
// Calculate band values
basis = ta.sma(oscillator, bandLength)
dev = ta.stdev(oscillator, bandLength) * bandMultiplier
upperBand = basis + dev
lowerBand = basis - dev
// Plot bands only when enabled
bandColor = color.new(color.purple, 20)
plot(useDynamicBands ? upperBand : na, "Upper Band", bandColor, 2, plot.style_stepline)
plot(useDynamicBands ? lowerBand : na, "Lower Band", bandColor, 2, plot.style_stepline)
plot(useDynamicBands ? basis : na, "Basis Line", color.new(color.blue, 0), 1)
// ********** Dashboard with New Theme **********
var table dashboard = table.new(position.top_right, 2, shortDashboard ? 9 : 13, border_width=2, frame_color=color.new(color.blue, 0), frame_width=1, force_overlay=true)
var table filtersPanel = table.new(filtersPanelPosition == "top_right" ? position.top_right : filtersPanelPosition == "bottom_right" ? position.bottom_right : filtersPanelPosition == "top_left" ? position.top_left : position.bottom_left, 2, 6, border_width=2, frame_color=color.new(color.blue, 0), frame_width=1, force_overlay=true)
// New color theme
panelBg = color.new(color.black, 20)
textCol = color.white
onCol = color.green
offCol = color.red
neutralCol = color.new(color.gray, 10)
//Adding Adx BG logic
adxBg = adxValue > adxValue[1] ? color.new(color.green, 0) : adxValue < adxValue[1] ? color.new(color.red, 0) : neutralCol
// ── Dashboard RSI Coloring ──────────────────────────────────────────────────
// allowing user to choose what counts as overbought/oversold
rsiObLevel = input.int(70, title="RSI Overbought Level", group="Dashboard")
rsiOsLevel = input.int(30, title="RSI Oversold Level", group="Dashboard")
// pick green if above OB, red if below OS, yellow otherwise
rsiColor = rsiValue > rsiObLevel ? color.green :
rsiValue < rsiOsLevel ? color.red :
color.yellow
// Update dashboard cells with new colors
if shortDashboard
table.cell(dashboard, 0, 0, "ULTIMATE SCALPING TOOL", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 0, "Metrics", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
trendStatus = normTrend >= 0.75 ? "Strong Bullish" : normTrend >= 0.4 ? "Moderate Bullish" : normTrend <= -0.75 ? "Strong Bearish" : normTrend <= -0.4 ? "Moderate Bearish" : "Sideways"
table.cell(dashboard, 0, 1, "Trend (TF)", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 1, trendStatus,
bgcolor=(normTrend >= 0.75 ? onCol : normTrend <= -0.75 ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
momentumStatus = strongBullishMomentum ? "Strong Bullish" : strongBearishMomentum ? "Strong Bearish" : "Neutral"
table.cell(dashboard, 0, 2, "Momentum (TF)", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 2, momentumStatus,
bgcolor=(strongBullishMomentum ? onCol : strongBearishMomentum ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 3, "Basic Signal", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 3, tradeSignal,
bgcolor=(tradeSignal=="Strong Buy" ? onCol :
tradeSignal=="Strong Sell" ? offCol :
tradeSignal=="Pullback Buy" ? onCol :
tradeSignal=="Pullback Sell" ? offCol :
neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 4, "Advanced Signal", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 4, advancedSignal, bgcolor=advancedSignalColor, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 5, "HTF Filter", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 5, htfTrendStatus,
bgcolor=(htf_trend_value==1.0 ? onCol : htf_trend_value==-1.0 ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
vwap_color = close > vwap_val ? onCol : offCol
table.cell(dashboard, 0, 6, "VWAP", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 6, str.tostring(vwap_val, "#.##"), bgcolor=vwap_color, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 7, "ADX", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 7, str.tostring(adxValue, "#.##") + (adxValue > adxValue[1] ? " " : adxValue < adxValue[1] ? " " : ""), bgcolor=adxBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 8, "Regime", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 8, atrRatio > 0.02 ? "High Volatility" : atrRatio < 0.01 ? "Low Volatility" : "Moderate",
bgcolor=(atrRatio > 0.02 ? offCol : atrRatio < 0.01 ? onCol : onCol),
text_color=textCol, text_size=dashboardTextSizeConst)
else
table.cell(dashboard, 0, 0, "ULTIMATE SCALPING TOOL", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 0, "Metrics", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
trendStatus = normTrend >= 0.75 ? "Strong Bullish" : normTrend >= 0.4 ? "Moderate Bullish" : normTrend <= -0.75 ? "Strong Bearish" : normTrend <= -0.4 ? "Moderate Bearish" : "Sideways"
table.cell(dashboard, 0, 1, "Trend (TF)", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 1, trendStatus,
bgcolor=(normTrend >= 0.75 ? onCol : normTrend <= -0.75 ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
momentumStatus = strongBullishMomentum ? "Strong Bullish" : strongBearishMomentum ? "Strong Bearish" : "Neutral"
table.cell(dashboard, 0, 2, "Momentum (TF)", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 2, momentumStatus,
bgcolor=(strongBullishMomentum ? onCol : strongBearishMomentum ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 3, "Volume (CMF)", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
volumeStatus = normCMF > 0.6 ? "Very High Buying" : normCMF > 0.3 ? "High Buying" : normCMF > 0.1 ? "Moderate Buying" : normCMF < -0.6 ? "Very High Selling" : normCMF < -0.3 ? "High Selling" : normCMF < -0.1 ? "Moderate Selling" : "Neutral"
table.cell(dashboard, 1, 3, volumeStatus,
bgcolor=(normCMF > 0.3 ? onCol : normCMF < -0.3 ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 4, "Basic Signal", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 4, tradeSignal,
bgcolor=(tradeSignal=="Strong Buy" ? onCol :
tradeSignal=="Strong Sell" ? offCol :
tradeSignal=="Pullback Buy" ? onCol :
tradeSignal=="Pullback Sell" ? offCol :
neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 5, "Advanced Signal", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 5, advancedSignal, bgcolor=advancedSignalColor, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 6, "RSI", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 6, str.tostring(rsiValue, "#.##"),bgcolor=rsiColor, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 7, "HTF Filter", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 7, htfTrendStatus,
bgcolor=(htf_trend_value==1.0 ? onCol : htf_trend_value==-1.0 ? offCol : neutralCol),
text_color=textCol, text_size=dashboardTextSizeConst)
vwap_color = close > vwap_val ? onCol : offCol
table.cell(dashboard, 0, 8, "VWAP", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 8, str.tostring(vwap_val, "#.##"), bgcolor=vwap_color, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 9, "ADX", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 9, str.tostring(adxValue, "#.##") + (adxValue > adxValue[1] ? " " : adxValue < adxValue[1] ? " " : ""), bgcolor=adxBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 10, "Mode", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 10, marketMode, bgcolor=onCol, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 0, 11, "Regime", bgcolor=panelBg, text_color=textCol, text_size=dashboardTextSizeConst)
table.cell(dashboard, 1, 11, atrRatio > 0.02 ? "High Volatility" : atrRatio < 0.01 ? "Low Volatility" : "Moderate",
bgcolor=(atrRatio > 0.02 ? offCol : atrRatio < 0.01 ? onCol : onCol),
text_color=textCol, text_size=dashboardTextSizeConst)
// Filters Status Panel
if showFiltersPanel
table.cell(filtersPanel, 0, 0, "Filter", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 0, "Status", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 0, 1, "DI Reversal Filter", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 1, enableReversalFilter ? "On" : "Off", bgcolor=enableReversalFilter ? onCol : offCol, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 0, 2, "Dynamic Thresholds", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 2, useDynamicThresholds ? "On" : "Off", bgcolor=useDynamicThresholds ? onCol : offCol, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 0, 3, "Adaptive Weighting", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 3, adaptiveWeightsEnabled ? "On" : "Off", bgcolor=adaptiveWeightsEnabled ? onCol : offCol, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 0, 4, "Early Signal", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 4, useEarlySignal ? "On" : "Off", bgcolor=useEarlySignal ? onCol : offCol, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 0, 5, "Leading HTF Filter", bgcolor=panelBg, text_color=textCol, text_size=filtersPanelSizeConst)
table.cell(filtersPanel, 1, 5, useLeadingHTF ? "On" : "Off", bgcolor=useLeadingHTF ? onCol : offCol, text_color=textCol, text_size=filtersPanelSizeConst)