本页源码来自 TradingView 公开发布的开源脚本，版权归原作者所有， 请遵循其原始许可（Pine 脚本常见 CC BY-NC-SA / MPL-2.0 / MIT）。 本项目仅用于研究检索与许可范围内的移植。
//@version=6
indicator("Machine Learning Smart Money Concepts | GainzAlgo", overlay=true, max_labels_count = 500, max_boxes_count=500, max_lines_count=500, max_bars_back=5000)
//UI
grp_algo = "🧠 Quant Engine"
lookahead = input.int(20, "Look-Ahead Window (Bars)", minval=5, maxval=100, step=5, group=grp_algo)
windowLen = input.int(1500, "Historical Memory Window", minval=500, maxval=3000, step=100, group=grp_algo)
kNeighbors = input.int(5, "K-Nearest Neighbors (K)", minval=1, maxval=10, group=grp_algo)
minScore = input.int(60, "Min Significance Score (%)", minval=0, maxval=100, step=5, group=grp_algo)
atrLen = input.int(14, "ATR Period", minval=5, group=grp_algo)
swingLen = input.int(5, "Pivot Length", minval=2, maxval=20, group=grp_algo)
grp_ui = "🎨 Visual Style"
themeMode = input.string("Obsidian", "Theme", options=["Obsidian", "Monochrome Alpha"], group=grp_ui)
hiProbClr = input.color(color.rgb(160, 130, 255), "High Probability (>80%)", group=grp_ui)
medProbClr = input.color(color.rgb(200, 180, 255), "Medium Probability (≥60%)", group=grp_ui)
bgTableClr = input.color(color.rgb(8, 8, 14), "Panel Background", group=grp_ui)
txtTable = input.color(color.rgb(190, 185, 210), "Panel Text", group=grp_ui)
grp_lines = "📐 Structure"
showSwingLines = input.bool(true, "CHoCH Connector Lines", group=grp_lines)
showBrokenLevel = input.bool(true, "Broken Level Marker", group=grp_lines)
extendLines = input.bool(false, "Extend Active Level", group=grp_lines)
showWickTrace = input.bool(true, "Neon Wick Trace", group=grp_lines)
showFill = input.bool(true, "CHoCH Region Fill", group=grp_lines)
fillTransp = input.int(93, "Fill Transparency", minval=70, maxval=98, step=2, group=grp_lines)
grp_tp = "🎯 Target Levels"
showPriceTarget = input.bool(true, "Show KNN Price Targets", group=grp_tp)
targetExtBars = input.int(10, "Target Extension (Bars)", minval=2, maxval=300, group=grp_tp)
targetScalar = input.float(0.5, "Conservative Scalar", minval=0.1, maxval=1.0, step=0.05, group=grp_tp)
tp1Clr = input.color(color.rgb(120, 200, 160), "TP1 Color (Conservative)", group=grp_tp)
tp2Clr = input.color(color.rgb(180, 160, 255), "TP2 Color (Median)", group=grp_tp)
tp3Clr = input.color(color.rgb(220, 130, 180), "TP3 Color (Aggressive)", group=grp_tp)
showTpLabels = input.bool(true, "Show TP Labels In Box", group=grp_tp)
manualBoxExt = input.bool(false, "Manual Box Extension Override", group=grp_tp)
manualExtBars = input.int(100, "Manual Extension (Bars)", minval=2, maxval=500, group=grp_tp)
grp_alerts = "🔔 Probability Alerts"
enableBullAlert = input.bool(false, "Enable Bullish CHoCH Alert", group=grp_alerts)
bullAlertThresh = input.float(80, "Bullish Probability Threshold (%)", minval=50, maxval=100, step=1, group=grp_alerts)
enableBearAlert = input.bool(false, "Enable Bearish CHoCH Alert", group=grp_alerts)
bearAlertThresh = input.float(80, "Bearish Probability Threshold (%)", minval=50, maxval=100, step=1, group=grp_alerts)
//Choch types
type ChochFeature
int barIndex
float volumeDelta
float displacementZ
float priceVelocity
bool isBullish
float outcomeValue
float favorableRun
type TargetRecord
float price
bool isBull
int tier // 1=mean 2=median 3=aggressive
var ChochFeature[] database = array.new<ChochFeature>()
var TargetRecord[] outstandingTgts = array.new<TargetRecord>()
// Identifying market structure
swingHigh = ta.pivothigh(high, swingLen, swingLen)
swingLow = ta.pivotlow(low, swingLen, swingLen)
var float lastSwingHigh = na
var float lastSwingLow = na
var int lastHighIndex = na
var int lastLowIndex = na
if not na(swingHigh)
lastSwingHigh := swingHigh
lastHighIndex := bar_index - swingLen
if not na(swingLow)
lastSwingLow := swingLow
lastLowIndex := bar_index - swingLen
float currentVolumeDelta = 0.0
if volume > 0
float candleRange = math.max(high - low, 1e-6)
float buyingVolume = volume * ((close - low) / candleRange)
float sellingVolume = volume * ((high - close) / candleRange)
currentVolumeDelta := (buyingVolume - sellingVolume) / volume
float currentAtr = ta.atr(atrLen)
var int marketTrend = 0
bool isBullishChoch = false
bool isBearishChoch = false
if not na(lastSwingHigh) and marketTrend <= 0 and close > lastSwingHigh
isBullishChoch := true
marketTrend := 1
if not na(lastSwingLow) and marketTrend >= 0 and close < lastSwingLow
isBearishChoch := true
marketTrend := -1
float volDeltaFeature = 0.0
float displaceFeature = 0.0
float velocityFeature = 0.0
if isBullishChoch or isBearishChoch
int calculationStartBar = isBullishChoch ? lastHighIndex : lastLowIndex
int duration = math.min(math.max(1, bar_index - calculationStartBar), 4990)
int safeLookback = math.min(duration, 50)
float runningVolDelta = 0.0
for i = 0 to safeLookback - 1
runningVolDelta += currentVolumeDelta[i]
volDeltaFeature := runningVolDelta / math.max(1, safeLookback)
float totalMove = math.abs(close - open[duration])
displaceFeature := currentAtr > 0 ? totalMove / currentAtr : 1.0
velocityFeature := totalMove / duration
// KNN
float outputSignificanceScore = 0.0
int totalMatchesFound = 0
int successfulOutcomes = 0
float bullishProb = 50.0
float bearishProb = 50.0
// 3 tps to form a box
float tp1Price = 0.0 // mean (conservative)
float tp2Price = 0.0 // median
float tp3Price = 0.0 // 75th-pct aggressive
if isBullishChoch or isBearishChoch
int dbSize = array.size(database)
if dbSize > 0
float[] matchedDistances = array.new<float>(0)
int[] matchedIndices = array.new<int>(0)
for i = 0 to dbSize - 1
ChochFeature record = array.get(database, i)
if bar_index - record.barIndex <= windowLen and record.isBullish == isBullishChoch
float dVol = math.pow(volDeltaFeature - record.volumeDelta, 2)
float dDisplace = math.pow(displaceFeature - record.displacementZ, 2)
float dVelocity = math.pow(velocityFeature - record.priceVelocity, 2)
float distance = math.sqrt(dVol + dDisplace + dVelocity)
array.push(matchedDistances, distance)
array.push(matchedIndices, i)
if array.size(matchedDistances) > 0
// Partial min-k selection: pick the K nearest indices without full sort
int nMatches = array.size(matchedDistances)
int limitK = math.min(kNeighbors, nMatches)
bool[] used = array.new<bool>(nMatches, false)
int[] sortedIndices = array.new<int>(0)
for _k = 0 to limitK - 1
float minDist = 1e38
int minIdx = 0
for _s = 0 to nMatches - 1
if not array.get(used, _s)
float d = array.get(matchedDistances, _s)
if d < minDist
minDist := d
minIdx := _s
array.set(used, minIdx, true)
array.push(sortedIndices, minIdx)
float[] neighborRuns = array.new<float>(0)
for k = 0 to limitK - 1
int idxInMatched = array.get(sortedIndices, k)
int targetDbIdx = array.get(matchedIndices, idxInMatched)
ChochFeature targetRecord = array.get(database, targetDbIdx)
totalMatchesFound += 1
if targetRecord.outcomeValue > 0.0
successfulOutcomes += 1
array.push(neighborRuns, targetRecord.favorableRun)
float totalK = limitK * 1.0
if isBullishChoch
bullishProb := (float(successfulOutcomes) / totalK) * 100.0
bearishProb := 100.0 - bullishProb
else
bearishProb := (float(successfulOutcomes) / totalK) * 100.0
bullishProb := 100.0 - bearishProb
// Sort runs for statistics
array.sort(neighborRuns)
int nRuns = array.size(neighborRuns)
// TP2 = median (FIXED: cast array index query to int)
float medRun = nRuns > 0 ? array.get(neighborRuns, int(nRuns / 2)) : 0.0
// TP1 = mean * scalar (conservative)
float sumRuns = 0.0
for r = 0 to nRuns - 1
sumRuns += array.get(neighborRuns, r)
float meanRun = nRuns > 0 ? sumRuns / nRuns : 0.0
// TP3 = 75th percentile (aggressive)
int p75idx = nRuns > 1 ? int(math.round(nRuns * 0.75)) - 1 : 0
p75idx := math.min(p75idx, nRuns - 1)
float aggrRun = nRuns > 0 ? array.get(neighborRuns, p75idx) : 0.0
// Apply direction
float dir = isBullishChoch ? 1.0 : -1.0
tp1Price := close + dir * (meanRun * targetScalar)
tp2Price := close + dir * medRun
tp3Price := close + dir * aggrRun
outputSignificanceScore := totalMatchesFound > 0 ? (float(successfulOutcomes) / float(totalMatchesFound)) * 100.0 : 50.0
else
outputSignificanceScore := 50.0
// Training on hx
if isBullishChoch[lookahead] or isBearishChoch[lookahead]
bool wasBullish = isBullishChoch[lookahead]
float initialRefPrice = close[lookahead]
float maxFavorableRun = 0.0
float maxAdverseRun = 0.0
for lookIdx = 1 to lookahead
float highOffset = high[lookahead - lookIdx]
float lowOffset = low[lookahead - lookIdx]
if wasBullish
maxFavorableRun := math.max(maxFavorableRun, highOffset - initialRefPrice)
maxAdverseRun := math.max(maxAdverseRun, initialRefPrice - lowOffset)
else
maxFavorableRun := math.max(maxFavorableRun, initialRefPrice - lowOffset)
maxAdverseRun := math.max(maxAdverseRun, highOffset - initialRefPrice)
ChochFeature historicalEvent = ChochFeature.new(
barIndex = bar_index[lookahead],
volumeDelta = volDeltaFeature[lookahead],
displacementZ = displaceFeature[lookahead],
priceVelocity = velocityFeature[lookahead],
isBullish = wasBullish,
outcomeValue = maxFavorableRun > maxAdverseRun ? 1.0 : -1.0,
favorableRun = maxFavorableRun
)
array.push(database, historicalEvent)
if array.size(database) > 2000
array.remove(database, 0)
//Tracking targets
if array.size(outstandingTgts) > 0
int i = array.size(outstandingTgts) - 1
while i >= 0
TargetRecord rec = array.get(outstandingTgts, i)
bool hit = rec.isBull ? high >= rec.price : low <= rec.price
if hit
array.remove(outstandingTgts, i)
i -= 1
//Colours
// Premium palette — cool blue-white for bull, warm rose for bear
bullLineClr = color.new(color.rgb(140, 200, 255), 25)
bearLineClr = color.new(color.rgb(255, 140, 160), 25)
levelClr = color.new(color.rgb(160, 155, 185), 65)
neonBullG1 = color.new(color.rgb(180, 220, 255), 90)
neonBullG2 = color.new(color.rgb(180, 220, 255), 78)
neonBullG3 = color.new(color.rgb(210, 235, 255), 55)
neonBullG4 = color.new(color.rgb(240, 248, 255), 0)
neonBearG1 = color.new(color.rgb(255, 160, 180), 90)
neonBearG2 = color.new(color.rgb(255, 160, 180), 78)
neonBearG3 = color.new(color.rgb(255, 195, 205), 55)
neonBearG4 = color.new(color.rgb(255, 230, 235), 0)
fillBullClr = color.new(color.rgb(140, 200, 255), fillTransp)
fillBearClr = color.new(color.rgb(255, 140, 160), fillTransp)
// Identfying swing levels here, to identfy change of structure later on
var line activeHighLevel = na
var line activeLowLevel = na
if not na(swingHigh) and showBrokenLevel
if not na(activeHighLevel)
line.delete(activeHighLevel)
int extRight = extendLines ? bar_index + lookahead * 2 : bar_index + lookahead
activeHighLevel := line.new(lastHighIndex, lastSwingHigh, extRight, lastSwingHigh, color=levelClr, width=1, style=line.style_dashed)
if not na(swingLow) and showBrokenLevel
if not na(activeLowLevel)
line.delete(activeLowLevel)
int extRight = extendLines ? bar_index + lookahead * 2 : bar_index + lookahead
activeLowLevel := line.new(lastLowIndex, lastSwingLow, extRight, lastSwingLow, color=levelClr, width=1, style=line.style_dashed)
// plotting the change of structure
if isBullishChoch
if not na(activeHighLevel)
line.set_x2(activeHighLevel, bar_index)
// FIXED: Removed line.delete() so the broken level marker stays on the chart
activeHighLevel := na
if showSwingLines and not na(lastHighIndex) and not na(lastSwingHigh)
line.new(lastHighIndex, lastSwingHigh, bar_index, close, color=bullLineClr, width=2, style=line.style_solid)
if showWickTrace and not na(lastHighIndex)
int traceLen = math.min(bar_index - lastHighIndex, 300)
if traceLen > 1
float baseline = lastSwingHigh
for i = traceLen - 1 to 1
int x1 = bar_index - i
int x2 = bar_index - i + 1
float y1 = low[i]
float y2 = low[i - 1]
line.new(x1, y1, x2, y2, color=neonBullG1, width=7)
line.new(x1, y1, x2, y2, color=neonBullG2, width=4)
line.new(x1, y1, x2, y2, color=neonBullG3, width=2)
line.new(x1, y1, x2, y2, color=neonBullG4, width=1)
if showFill
line wickSeg = line.new(x1, y1, x2, y2, color=color.new(color.green, 100), width=1)
line baseSeg = line.new(x1, baseline, x2, baseline, color=color.new(color.green, 100), width=1)
linefill.new(wickSeg, baseSeg, fillBullClr)
//Target zones
if showPriceTarget and tp1Price > 0 and tp3Price > 0
float boxTop = tp3Price
float boxBottom = tp1Price
int boxExtBars = manualBoxExt ? manualExtBars : targetExtBars
int rightBar = bar_index + boxExtBars
// Using box to map out zones
box.new(bar_index, boxTop, rightBar, boxBottom,
bgcolor = color.new(color.rgb(140, 200, 255), 93),
border_color = color.new(color.rgb(140, 200, 255), 30),
border_width = 1)
if tp2Price > 0
line.new(bar_index, tp2Price, rightBar, tp2Price,
color = color.new(color.rgb(180, 225, 255), 55),
width = 1,
style = line.style_dotted)
if showTpLabels
int labelX = bar_index + int(boxExtBars / 2)
label.new(labelX, boxBottom, "TP1", color=color.new(color.black, 100), style=label.style_none, textcolor=tp1Clr, size=size.tiny)
if tp2Price > 0
label.new(labelX, tp2Price, "TP2", color=color.new(color.black, 100), style=label.style_none, textcolor=tp2Clr, size=size.tiny)
label.new(labelX, boxTop, "TP3", color=color.new(color.black, 100), style=label.style_none, textcolor=tp3Clr, size=size.tiny)
array.push(outstandingTgts, TargetRecord.new(price=tp1Price, isBull=true, tier=1))
if tp2Price > 0 and tp2Price != tp1Price
array.push(outstandingTgts, TargetRecord.new(price=tp2Price, isBull=true, tier=2))
if tp3Price > 0 and tp3Price != tp2Price
array.push(outstandingTgts, TargetRecord.new(price=tp3Price, isBull=true, tier=3))
if showBrokenLevel
line.new(bar_index, lastSwingHigh, bar_index, close, color=color.new(hiProbClr, 40), width=1, style=line.style_dotted)
//Bearish changes in condition
if isBearishChoch
if not na(activeLowLevel)
line.set_x2(activeLowLevel, bar_index)
// FIXED: Removed line.delete() so the broken level marker stays on the chart
activeLowLevel := na
if showSwingLines and not na(lastLowIndex) and not na(lastSwingLow)
line.new(lastLowIndex, lastSwingLow, bar_index, close, color=bearLineClr, width=2, style=line.style_solid)
if showWickTrace and not na(lastLowIndex)
int traceLen = math.min(bar_index - lastLowIndex, 300)
if traceLen > 1
float baseline = lastSwingLow
for i = traceLen - 1 to 1
int x1 = bar_index - i
int x2 = bar_index - i + 1
float y1 = high[i]
float y2 = high[i - 1]
line.new(x1, y1, x2, y2, color=neonBearG1, width=7)
line.new(x1, y1, x2, y2, color=neonBearG2, width=4)
line.new(x1, y1, x2, y2, color=neonBearG3, width=2)
line.new(x1, y1, x2, y2, color=neonBearG4, width=1)
if showFill
line wickSeg = line.new(x1, y1, x2, y2, color=color.new(color.red, 100), width=1)
line baseSeg = line.new(x1, baseline, x2, baseline, color=color.new(color.red, 100), width=1)
linefill.new(wickSeg, baseSeg, fillBearClr)
if showPriceTarget and tp1Price > 0 and tp3Price > 0
float boxTop = tp1Price // TP1 is the highest price in a short
float boxBottom = tp3Price // TP3 is the lowest price in a short
int boxExtBars = manualBoxExt ? manualExtBars : targetExtBars
int rightBar = bar_index + boxExtBars
box.new(bar_index, boxTop, rightBar, boxBottom,
bgcolor = color.new(color.rgb(255, 140, 160), 93),
border_color = color.new(color.rgb(255, 140, 160), 30),
border_width = 1)
if tp2Price > 0
line.new(bar_index, tp2Price, rightBar, tp2Price,
color = color.new(color.rgb(255, 185, 200), 55),
width = 1,
style = line.style_dotted)
if showTpLabels
int labelXBear = bar_index + int(boxExtBars / 2)
label.new(labelXBear, boxTop, "TP1", color=color.new(color.black, 100), style=label.style_none, textcolor=tp1Clr, size=size.tiny)
if tp2Price > 0
label.new(labelXBear, tp2Price, "TP2", color=color.new(color.black, 100), style=label.style_none, textcolor=tp2Clr, size=size.tiny)
label.new(labelXBear, boxBottom, "TP3", color=color.new(color.black, 100), style=label.style_none, textcolor=tp3Clr, size=size.tiny)
// Tracking tps
array.push(outstandingTgts, TargetRecord.new(price=tp1Price, isBull=false, tier=1))
if tp2Price > 0 and tp2Price != tp1Price
array.push(outstandingTgts, TargetRecord.new(price=tp2Price, isBull=false, tier=2))
if tp3Price > 0 and tp3Price != tp2Price
array.push(outstandingTgts, TargetRecord.new(price=tp3Price, isBull=false, tier=3))
if showBrokenLevel
line.new(bar_index, lastSwingLow, bar_index, close, color=color.new(medProbClr, 40), width=1, style=line.style_dotted)
// Signals for UI
bool chochFired = isBullishChoch or isBearishChoch
bool validSetup = chochFired and outputSignificanceScore >= minScore
if chochFired
bool hasScore = outputSignificanceScore >= minScore
bool hasKnnData = totalMatchesFound > 0
color layoutColor = hasScore ? (outputSignificanceScore >= 80 ? hiProbClr : medProbClr) : color.new(color.rgb(140, 135, 165), 0)
float dirProb = isBullishChoch ? bullishProb : bearishProb
string confStar = dirProb >= 85.0 ? " ★" : ""
string dirArrow = isBullishChoch ? "▲" : "▼"
string scoreTxt = hasKnnData ? dirArrow + " " + str.tostring(math.round(dirProb), "#") + "%" + confStar : dirArrow + " CHoCH"
float badgeY = isBullishChoch ? low - currentAtr * 1 : high + currentAtr * 1
label.new(
x = bar_index,
y = badgeY,
text = scoreTxt,
color = color.new(color.black, 100),
style = label.style_none,
textcolor = color.new(layoutColor, 0),
size = size.normal
)
string chochTag = isBullishChoch ? "+CHoCH" : "-CHoCH"
string scoreLine = hasKnnData ? str.tostring(outputSignificanceScore, "#.0") + "%" : "—"
string tagText = chochTag
label.new(
x = bar_index,
y = isBullishChoch ? low - currentAtr * 0.5 : high + currentAtr * 0.5,
text = tagText,
color = color.new(color.black, 100),
style = label.style_none,
textcolor = color.new(layoutColor, 15),
size = size.normal
)
var table sidePanel = table.new(position.middle_right, 2, 11,
bgcolor = color.new(bgTableClr, 12),
border_color = color.new(color.white, 100),
border_width = 0,
frame_color = color.new(color.white, 100),
frame_width = 0)
if barstate.islast
float sumBullTgts = 0.0
int cntBullTgts = 0
float sumBearTgts = 0.0
int cntBearTgts = 0
for j = 0 to array.size(outstandingTgts) - 1
TargetRecord r = array.get(outstandingTgts, j)
if r.isBull
sumBullTgts += r.price
cntBullTgts += 1
else
sumBearTgts += r.price
cntBearTgts += 1
float meanHighTarget = cntBullTgts > 0 ? sumBullTgts / cntBullTgts : na
float meanLowTarget = cntBearTgts > 0 ? sumBearTgts / cntBearTgts : na
color accentClr = marketTrend > 0 ? color.rgb(80, 255, 120) : marketTrend < 0 ? color.rgb(255, 80, 100) : color.gray
// Stats table
table.cell(sidePanel, 0, 0, "ML SMC", bgcolor=color.new(color.rgb(30, 22, 55), 0), text_color=color.new(color.rgb(200, 190, 230), 0), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 0, "PREMIUM", bgcolor=color.new(color.rgb(30, 22, 55), 0), text_color=color.new(color.rgb(160, 130, 255), 0), text_size=size.small, text_halign=text.align_right)
string biasText = marketTrend > 0 ? "▲ BULLISH" : marketTrend < 0 ? "▼ BEARISH" : "— NEUTRAL"
table.cell(sidePanel, 0, 1, "Bias", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 1, biasText, text_color=accentClr, text_size=size.small, text_halign=text.align_right)
string scoreDisp = outputSignificanceScore >= minScore ? str.tostring(outputSignificanceScore, "#.0") + "%" : "—"
color scoreClr = outputSignificanceScore >= 80 ? color.rgb(160, 130, 255) : outputSignificanceScore >= 60 ? color.rgb(200, 180, 255) : color.rgb(120, 115, 145)
table.cell(sidePanel, 0, 2, "Score", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 2, scoreDisp, text_color=scoreClr, text_size=size.small, text_halign=text.align_right)
table.cell(sidePanel, 0, 3, "─── TARGETS ───", text_color=color.new(txtTable, 55), text_size=size.tiny, text_halign=text.align_left)
table.cell(sidePanel, 1, 3, "open", text_color=color.new(txtTable, 55), text_size=size.tiny, text_halign=text.align_right)
string highTgtStr = not na(meanHighTarget) ? str.tostring(meanHighTarget, "#.00") : "—"
table.cell(sidePanel, 0, 4, "Mean High Tgt", text_color=color.new(color.rgb(140, 200, 255), 0), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 4, highTgtStr, text_color=color.new(color.rgb(140, 200, 255), 0), text_size=size.small, text_halign=text.align_right)
string lowTgtStr = not na(meanLowTarget) ? str.tostring(meanLowTarget, "#.00") : "—"
table.cell(sidePanel, 0, 5, "Mean Low Tgt", text_color=color.new(color.rgb(255, 140, 160), 0), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 5, lowTgtStr, text_color=color.new(color.rgb(255, 140, 160), 0), text_size=size.small, text_halign=text.align_right)
table.cell(sidePanel, 0, 6, "─── ENGINE ───", text_color=color.new(txtTable, 55), text_size=size.tiny, text_halign=text.align_left)
table.cell(sidePanel, 1, 6, "", text_color=color.new(txtTable, 55), text_size=size.tiny, text_halign=text.align_right)
table.cell(sidePanel, 0, 7, "DB Records", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 7, str.tostring(array.size(database)), text_color=color.new(color.rgb(160, 130, 255), 0), text_size=size.small, text_halign=text.align_right)
table.cell(sidePanel, 0, 8, "Vol Δ", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 8, str.tostring(currentVolumeDelta, "#.00"), text_color=currentVolumeDelta >= 0 ? color.rgb(140, 200, 255) : color.rgb(255, 140, 160), text_size=size.small, text_halign=text.align_right)
string levelStr = not na(lastSwingHigh) and not na(lastSwingLow) ? str.tostring(lastSwingHigh, "#.00") + " / " + str.tostring(lastSwingLow, "#.00") : "Loading…"
table.cell(sidePanel, 0, 9, "H / L", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 9, levelStr, text_color=color.new(txtTable, 10), text_size=size.tiny, text_halign=text.align_right)
table.cell(sidePanel, 0, 10, "K / Window", text_color=color.new(txtTable, 20), text_size=size.small, text_halign=text.align_left)
table.cell(sidePanel, 1, 10, str.tostring(kNeighbors) + " / " + str.tostring(windowLen), text_color=color.new(txtTable, 20), text_size=size.tiny, text_halign=text.align_right)
grp_ribbon = "✨ Dynamic Target Ribbon"
showRibbon = input.bool(false, "Show Target Ribbon", group=grp_ribbon)
ribbonLen = input.int(50, "Ribbon Smoothing Length", minval=5, maxval=200, step=10, group=grp_ribbon)
var float activeBullTarget = na
var float activeBearTarget = na
if barstate.isfirst
activeBullTarget := close + ta.atr(14)
activeBearTarget := close - ta.atr(14)
if chochFired
if isBullishChoch and tp3Price > 0
activeBullTarget := tp3Price
if isBearishChoch and tp3Price > 0
activeBearTarget := tp3Price
smoothBull = ta.sma(activeBullTarget, ribbonLen)
smoothBear = ta.sma(activeBearTarget, ribbonLen)
plot(showRibbon ? smoothBull : na, "Bull Ribbon", color=color.new(color.rgb(140, 200, 255), 35), linewidth=1)
plot(showRibbon ? smoothBear : na, "Bear Ribbon", color=color.new(color.rgb(255, 140, 160), 35), linewidth=1)
p_bull = plot(showRibbon ? smoothBull : na, display=display.none)
p_bear = plot(showRibbon ? smoothBear : na, display=display.none)
fill(p_bull, p_bear, color=color.new(color.rgb(160, 130, 255), 97), title="Ribbon Cloud")
alertcondition(isBullishChoch, "Buy Signal", message="Buy Signal detected by GainzAlgo")
alertcondition(isBearishChoch, "Sell Signal", message="Sell Signal detected by GainzAlgo")