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。
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © AlgoAlpha
//@version=6
indicator("Reversal Probability Profile [AlgoAlpha]", "AlgoAlpha - Reversal Probability", overlay = true, max_boxes_count = 500, max_labels_count = 500, max_lines_count = 500, max_bars_back = 5000)
// Inputs
calcGR = "Calculation"
pivotLeft = input.int(5, "Pivot Left Bars", minval = 1, maxval = 50, group = calcGR, tooltip = "Number of bars to the left used to confirm pivot highs and pivot lows.")
pivotRight = input.int(5, "Pivot Right Bars", minval = 1, maxval = 50, group = calcGR, tooltip = "Number of bars to the right used to confirm pivot highs and pivot lows. Higher values make pivots slower but cleaner.")
lookbackBars = input.int(600, "Calculation Lookback", minval = 50, maxval = 5000, group = calcGR, tooltip = "Maximum number of bars used for pivot storage, profile bounds, and reversal probability calculations.")
pivotMemory = input.int(240, "Pivot Memory", minval = 20, maxval = 400, group = calcGR, tooltip = "Maximum number of confirmed pivots stored for clustering. Higher values add more history but increase calculation load.")
binRadius = input.int(3, "Bin Smoothing Radius", minval = 0, maxval = 20, group = calcGR, tooltip = "Adds nearby bins around each pivot to the probability profile. A value of 3 means each pivot can add weight to 3 bins above and below its main bin.")
profileBins = input.int(140, "Profile Resolution", minval = 20, maxval = 220, group = calcGR, tooltip = "Number of vertical price bins used to build the pivot probability profile.")
clusterCount = input.int(5, "Profile Clusters", minval = 2, maxval = 8, group = calcGR, tooltip = "Number of pivot price clusters used to color the probability profile.")
kmeansIterations = input.int(25, "Cluster Iterations", minval = 5, maxval = 50, group = calcGR, tooltip = "Number of k-means update passes used to group pivot prices into color clusters.")
atrLen = input.int(14, "ATR Length", minval = 1, maxval = 200, group = calcGR, tooltip = "ATR length used by the overlap filter for new pivot support and resistance lines.")
atrMult = input.float(2.0, "ATR Overlap Multiplier", minval = 0.0, maxval = 20.0, step = 0.1, group = calcGR, tooltip = "New pivot lines are blocked when an active line already exists within this ATR distance.")
alertGR = "Alerts"
highProbabilityThreshold = input.float(80.0, "High Probability Touch Threshold", minval = 1.0, maxval = 100.0, step = 1.0, group = alertGR, tooltip = "Minimum normalized profile density needed to trigger high probability touch alerts.")
appearanceGR = "Appearance"
showProfile = input.bool(true, "Show Profile", group = appearanceGR, tooltip = "Show the reversal probability profile built from confirmed pivot clusters.")
profileWidth = input.int(70, "Profile Width", minval = 10, maxval = 250, group = appearanceGR, tooltip = "Maximum horizontal profile width measured in bars.")
profileOffset = input.int(90, "Profile Offset", minval = 0, maxval = 250, group = appearanceGR, tooltip = "Distance in bars between the current bar and the start of the profile.")
regularBinTransparency = input.int(75, "Regular Bin Transparency", minval = 0, maxval = 100, group = appearanceGR, tooltip = "Transparency used for normal profile bins. Profile borders use a stronger version of the same cluster color.")
pocTransparency = input.int(0, "POC Bin Transparency", minval = 0, maxval = 100, group = appearanceGR, tooltip = "Transparency used for the highest probability profile bin.")
showProbabilityText = input.bool(false, "Show Bin Text", group = appearanceGR, tooltip = "Show probability or pivot count text inside profile boxes.")
profileTextMode = input.string("Probability", "Bin Text Mode", options = ["Probability", "Count"], group = appearanceGR, tooltip = "Controls whether profile boxes show normalized probability or smoothed pivot count.")
showProfileLabels = input.bool(true, "Show Profile Labels", group = appearanceGR, tooltip = "Show profile name, top/bottom price, and highest probability bin label.")
showPocLine = input.bool(true, "Show Probability POC Line", group = appearanceGR, tooltip = "Draw a line through the highest probability bin.")
showClusterLines = input.bool(true, "Show Cluster Lines", group = appearanceGR, tooltip = "Draw dashed lines through pivot cluster centroids.")
showPivotLines = input.bool(true, "Show Pivot Lines", group = appearanceGR, tooltip = "Draw support and resistance lines from confirmed pivots.")
showLevelLabels = input.bool(true, "Show Line Labels", group = appearanceGR, tooltip = "Show the price and normalized reversal probability on active pivot support and resistance lines.")
showBrokenLevels = input.bool(true, "Keep Broken Lines", group = appearanceGR, tooltip = "Keep broken historical pivot lines on the chart as faint dotted lines. Disable this to remove lines after they break.")
maxPivotLines = input.int(120, "Maximum Pivot Lines", minval = 10, maxval = 150, group = appearanceGR, tooltip = "Maximum number of pivot support and resistance lines stored on the chart.")
showPivotDots = input.bool(true, "Show Pivot Dots", group = appearanceGR, tooltip = "Show confirmed pivot markers colored by their profile cluster.")
maxPivotDots = input.int(260, "Maximum Pivot Dots", minval = 10, maxval = 300, group = appearanceGR, tooltip = "Maximum number of colored pivot markers drawn at the last bar.")
dotSizeInput = input.string("Small", "Pivot Dot Size", options = ["Tiny", "Small", "Normal", "Large", "Huge"], group = appearanceGR, tooltip = "Size of the colored pivot markers.")
dotTransparency = input.int(30, "Pivot Dot Transparency", minval = 0, maxval = 100, group = appearanceGR, tooltip = "Transparency applied to colored pivot markers.")
supportColor = input.color(#00ffbb, "Support Colour", group = appearanceGR, tooltip = "Color used for pivot low support lines and bullish reversal context.")
resistanceColor = input.color(#ff1100, "Resistance Colour", group = appearanceGR, tooltip = "Color used for pivot high resistance lines and bearish reversal context.")
brokenColor = input.color(color.gray, "Broken Line Colour", group = appearanceGR, tooltip = "Legacy broken-level color setting. Historical broken levels are displayed using a faint chart foreground color.")
col1 = input.color(color.yellow, "Cluster 1", inline = "pal1", group = appearanceGR, tooltip = "Color used for cluster slot 1.")
col2 = input.color(color.blue, "Cluster 2", inline = "pal1", group = appearanceGR, tooltip = "Color used for cluster slot 2.")
col3 = input.color(color.orange, "Cluster 3", inline = "pal1", group = appearanceGR, tooltip = "Color used for cluster slot 3.")
col4 = input.color(color.red, "Cluster 4", inline = "pal1", group = appearanceGR, tooltip = "Color used for cluster slot 4.")
col5 = input.color(color.teal, "Cluster 5", inline = "pal2", group = appearanceGR, tooltip = "Color used for cluster slot 5.")
col6 = input.color(#26a69a, "Cluster 6", inline = "pal2", group = appearanceGR, tooltip = "Color used for cluster slot 6.")
col7 = input.color(#ef5350, "Cluster 7", inline = "pal2", group = appearanceGR, tooltip = "Color used for cluster slot 7.")
col8 = input.color(#787b86, "Cluster 8", inline = "pal2", group = appearanceGR, tooltip = "Color used for cluster slot 8.")
// Variables and functions
type PivotPoint
float price
int bar
bool isHigh
type PivotLine
line ln
label lbl
float level
bool isSupport
bool isBroken
int startBar
var pivots = array.new<PivotPoint>()
var pivotLines = array.new<PivotLine>()
var profileBoxes = array.new_box()
var profileLabels = array.new_label()
var profileLines = array.new_line()
var pivotMarks = array.new_label()
var pal = array.from(col1, col2, col3, col4, col5, col6, col7, col8)
getColor(id) =>
array.get(pal, id % array.size(pal))
sizeFromString(txt) =>
switch txt
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
=> size.huge
formatVolume(vol) =>
str.tostring(vol, format.volume)
formatProbability(value) =>
str.tostring(value, format.percent)
isOverlapping(price, threshold, PivotLine[] levels) =>
overlap = false
if array.size(levels) > 0
for i = 0 to array.size(levels) - 1
item = array.get(levels, i)
if not item.isBroken and math.abs(item.level - price) <= threshold
overlap := true
break
overlap
pivotKmeans(PivotPoint[] src, k, iterations) =>
n = array.size(src)
labels = array.new_int(n, 0)
clusters = math.max(1, k)
centroids = array.new_float(clusters, 0.0)
if n > 0
firstPivot = array.get(src, 0)
minPrice = firstPivot.price
maxPrice = firstPivot.price
for i = 0 to n - 1
st = array.get(src, i)
minPrice := math.min(minPrice, st.price)
maxPrice := math.max(maxPrice, st.price)
step = clusters > 1 ? (maxPrice - minPrice) / (clusters - 1) : 0.0
for c = 0 to clusters - 1
array.set(centroids, c, clusters == 1 ? math.avg(minPrice, maxPrice) : minPrice + step * c)
for iteration = 0 to iterations - 1
for i = 0 to n - 1
st = array.get(src, i)
bestId = 0
bestDist = 1e10
for c = 0 to clusters - 1
dist = math.abs(st.price - array.get(centroids, c))
if dist < bestDist
bestDist := dist
bestId := c
array.set(labels, i, bestId)
sums = array.new_float(clusters, 0.0)
counts = array.new_int(clusters, 0)
for i = 0 to n - 1
st = array.get(src, i)
cid = array.get(labels, i)
array.set(sums, cid, array.get(sums, cid) + st.price)
array.set(counts, cid, array.get(counts, cid) + 1)
for c = 0 to clusters - 1
count = array.get(counts, c)
if count > 0
array.set(centroids, c, array.get(sums, c) / count)
sortedCentroids = array.copy(centroids)
array.sort(sortedCentroids, order.ascending)
map = array.new_int(clusters, 0)
used = array.new_bool(clusters, false)
for c = 0 to clusters - 1
original = array.get(centroids, c)
bestRank = 0
bestRankDist = 1e10
for r = 0 to clusters - 1
if not array.get(used, r)
rankDist = math.abs(original - array.get(sortedCentroids, r))
if rankDist < bestRankDist
bestRankDist := rankDist
bestRank := r
array.set(used, bestRank, true)
array.set(map, c, bestRank)
for i = 0 to n - 1
oldId = array.get(labels, i)
array.set(labels, i, array.get(map, oldId))
centroids := sortedCentroids
[centroids, labels]
// Calculations
ph = ta.pivothigh(high, pivotLeft, pivotRight)
pl = ta.pivotlow(low, pivotLeft, pivotRight)
atr = ta.atr(atrLen)
threshold = na(atr) ? syminfo.mintick : atr * atrMult
newResistanceAlert = not na(ph)
newSupportAlert = not na(pl)
resistanceBreakAlert = false
supportBreakAlert = false
maxProbabilityTouchAlert = false
highProbabilityTouchAlert = false
bullishReversalTouchAlert = false
bearishReversalTouchAlert = false
if not na(ph)
array.unshift(pivots, PivotPoint.new(ph, bar_index - pivotRight, true))
if not na(pl)
array.unshift(pivots, PivotPoint.new(pl, bar_index - pivotRight, false))
while array.size(pivots) > 0
oldestPivot = array.get(pivots, array.size(pivots) - 1)
shouldDrop = array.size(pivots) > pivotMemory or bar_index - oldestPivot.bar > lookbackBars
if shouldDrop
array.pop(pivots)
else
break
// Visuals
if not showPivotLines and array.size(pivotLines) > 0
while array.size(pivotLines) > 0
item = array.pop(pivotLines)
line.delete(item.ln)
label.delete(item.lbl)
if showPivotLines and not na(ph) and not isOverlapping(ph, threshold, pivotLines)
levelText = showLevelLabels ? str.tostring(ph, format.mintick) : ""
ln = line.new(bar_index - pivotRight, ph, bar_index, ph, xloc = xloc.bar_index, color = resistanceColor, width = 1)
lb = label.new(bar_index, ph, levelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_left, color = showLevelLabels ? color.new(resistanceColor, 80) : color.new(resistanceColor, 100), textcolor = showLevelLabels ? resistanceColor : color.new(resistanceColor, 100), size = size.small)
array.push(pivotLines, PivotLine.new(ln, lb, ph, false, false, bar_index - pivotRight))
if showPivotLines and not na(pl) and not isOverlapping(pl, threshold, pivotLines)
levelText = showLevelLabels ? str.tostring(pl, format.mintick) : ""
ln = line.new(bar_index - pivotRight, pl, bar_index, pl, xloc = xloc.bar_index, color = supportColor, width = 1)
lb = label.new(bar_index, pl, levelText, xloc = xloc.bar_index, yloc = yloc.price, style = label.style_label_left, color = showLevelLabels ? color.new(supportColor, 80) : color.new(supportColor, 100), textcolor = showLevelLabels ? supportColor : color.new(supportColor, 100), size = size.small)
array.push(pivotLines, PivotLine.new(ln, lb, pl, true, false, bar_index - pivotRight))
if showPivotLines and array.size(pivotLines) > 0
for i = array.size(pivotLines) - 1 to 0
item = array.get(pivotLines, i)
tooOld = bar_index - item.startBar > lookbackBars
if tooOld
line.delete(item.ln)
label.delete(item.lbl)
array.remove(pivotLines, i)
else
if not item.isBroken
activeColor = item.isSupport ? supportColor : resistanceColor
line.set_x2(item.ln, bar_index)
line.set_color(item.ln, activeColor)
line.set_style(item.ln, line.style_solid)
label.set_x(item.lbl, bar_index)
label.set_color(item.lbl, showLevelLabels ? color.new(activeColor, 80) : color.new(activeColor, 100))
label.set_textcolor(item.lbl, showLevelLabels ? activeColor : color.new(activeColor, 100))
brokenUp = not item.isSupport and close > item.level
brokenDown = item.isSupport and close < item.level
if brokenUp or brokenDown
resistanceBreakAlert := resistanceBreakAlert or brokenUp
supportBreakAlert := supportBreakAlert or brokenDown
if showBrokenLevels
item.isBroken := true
line.set_color(item.ln, color.new(chart.fg_color, 90))
line.set_style(item.ln, line.style_dotted)
label.set_text(item.lbl, showLevelLabels ? formatVolume(volume) : "")
label.set_color(item.lbl, color.new(chart.bg_color, 100))
label.set_textcolor(item.lbl, showLevelLabels ? color.new(chart.fg_color, 90) : color.new(chart.fg_color, 100))
label.set_style(item.lbl, brokenUp ? label.style_label_lower_right : label.style_label_upper_right)
array.set(pivotLines, i, item)
else
line.delete(item.ln)
label.delete(item.lbl)
array.remove(pivotLines, i)
while array.size(pivotLines) > maxPivotLines
oldItem = array.shift(pivotLines)
line.delete(oldItem.ln)
label.delete(oldItem.lbl)
if barstate.islast
while array.size(profileBoxes) > 0
box.delete(array.pop(profileBoxes))
while array.size(profileLabels) > 0
label.delete(array.pop(profileLabels))
while array.size(profileLines) > 0
line.delete(array.pop(profileLines))
while array.size(pivotMarks) > 0
label.delete(array.pop(pivotMarks))
if barstate.islast and array.size(pivots) > 0
windowBars = math.min(lookbackBars, bar_index)
localHigh = high
localLow = low
for i = 0 to windowBars
localHigh := math.max(localHigh, high[i])
localLow := math.min(localLow, low[i])
rangeSize = math.max(localHigh - localLow, syminfo.mintick)
binSize = rangeSize / profileBins
effectiveClusters = math.min(clusterCount, array.size(pivots))
[centroids, labels] = pivotKmeans(pivots, effectiveClusters, kmeansIterations)
binCounts = array.new_int(profileBins, 0)
highCounts = array.new_int(profileBins, 0)
lowCounts = array.new_int(profileBins, 0)
clusterBins = array.new_int(profileBins * effectiveClusters, 0)
if localHigh > localLow and effectiveClusters > 0
for i = 0 to array.size(pivots) - 1
st = array.get(pivots, i)
inWindow = bar_index - st.bar <= lookbackBars and st.price >= localLow and st.price <= localHigh
if inWindow
binIndex = int(math.floor((st.price - localLow) / binSize))
binIndex := math.max(0, math.min(profileBins - 1, binIndex))
cid = i < array.size(labels) ? array.get(labels, i) : 0
startBin = math.max(0, binIndex - binRadius)
endBin = math.min(profileBins - 1, binIndex + binRadius)
for j = startBin to endBin
array.set(binCounts, j, array.get(binCounts, j) + 1)
if st.isHigh
array.set(highCounts, j, array.get(highCounts, j) + 1)
else
array.set(lowCounts, j, array.get(lowCounts, j) + 1)
clusterCell = j * effectiveClusters + cid
array.set(clusterBins, clusterCell, array.get(clusterBins, clusterCell) + 1)
maxCount = array.max(binCounts)
pocIndex = 0
pocCount = 0
for i = 0 to profileBins - 1
count = array.get(binCounts, i)
if count > pocCount
pocCount := count
pocIndex := i
profileStart = bar_index + profileOffset
profileEnd = bar_index + math.min(profileOffset + profileWidth, 500)
availableWidth = math.max(1, profileEnd - profileStart)
leftWindow = math.max(0, bar_index - lookbackBars)
pocLevel = localLow + pocIndex * binSize + binSize * 0.5
pocCluster = 0
pocClusterCount = 0
for c = 0 to effectiveClusters - 1
clusterCountInPoc = array.get(clusterBins, pocIndex * effectiveClusters + c)
if clusterCountInPoc > pocClusterCount
pocClusterCount := clusterCountInPoc
pocCluster := c
pocColor = getColor(pocCluster)
if array.size(pivotLines) > 0
for i = 0 to array.size(pivotLines) - 1
item = array.get(pivotLines, i)
if not item.isBroken
levelBin = int(math.floor((item.level - localLow) / binSize))
levelBin := math.max(0, math.min(profileBins - 1, levelBin))
levelCount = item.level >= localLow and item.level <= localHigh ? array.get(binCounts, levelBin) : 0
reversalProbability = maxCount > 0 ? float(levelCount) / float(maxCount) : 0.0
levelProbabilityText = str.tostring(reversalProbability * 100.0, "#")
levelText = str.tostring(item.level, format.mintick) + " (" + levelProbabilityText + "% Reversal Probability)"
activeColor = item.isSupport ? supportColor : resistanceColor
label.set_text(item.lbl, showLevelLabels ? levelText : "")
label.set_color(item.lbl, showLevelLabels ? color.new(activeColor, 80) : color.new(activeColor, 100))
label.set_textcolor(item.lbl, showLevelLabels ? activeColor : color.new(activeColor, 100))
if showProfile and showClusterLines
for c = 0 to effectiveClusters - 1
centroidLevel = array.get(centroids, c)
if centroidLevel >= localLow and centroidLevel <= localHigh
clusterLine = line.new(leftWindow, centroidLevel, profileEnd, centroidLevel, xloc = xloc.bar_index, color = color.new(getColor(c), 45), width = 1, style = line.style_dashed)
array.push(profileLines, clusterLine)
if showProfile and showPocLine and pocCount > 0
pocLine = line.new(leftWindow, pocLevel, profileEnd, pocLevel, xloc = xloc.bar_index, color = pocColor, width = 2, style = line.style_solid)
array.push(profileLines, pocLine)
for i = 0 to profileBins - 1
count = array.get(binCounts, i)
if count > 0 and maxCount > 0
binBottom = localLow + i * binSize
binTop = binBottom + binSize
probability = float(count) / float(maxCount)
boxWidth = math.max(1, int(math.round(probability * availableWidth)))
boxLeft = profileEnd - boxWidth
isPoc = i == pocIndex
dominantCluster = 0
dominantClusterCount = 0
for c = 0 to effectiveClusters - 1
clusterCountInBin = array.get(clusterBins, i * effectiveClusters + c)
if clusterCountInBin > dominantClusterCount
dominantClusterCount := clusterCountInBin
dominantCluster := c
clusterColor = getColor(dominantCluster)
binTransparency = isPoc ? pocTransparency : regularBinTransparency
borderTransparency = isPoc ? pocTransparency : math.max(0, regularBinTransparency - 35)
if showProfile
profileBox = box.new(boxLeft, binTop, profileEnd, binBottom, xloc = xloc.bar_index, border_color = color.new(clusterColor, borderTransparency), border_width = 1, border_style = line.style_solid, bgcolor = color.new(clusterColor, binTransparency))
if showProbabilityText
boxText = profileTextMode == "Probability" ? formatProbability(probability) : str.tostring(count)
box.set_text(profileBox, boxText)
box.set_text_color(profileBox, chart.fg_color)
box.set_text_size(profileBox, size.tiny)
box.set_text_halign(profileBox, text.align_center)
box.set_text_valign(profileBox, text.align_center)
array.push(profileBoxes, profileBox)
priceInBin = close >= binBottom and close <= binTop
highProbabilityBin = probability * 100.0 >= highProbabilityThreshold
bullishDominant = array.get(lowCounts, i) > array.get(highCounts, i)
bearishDominant = array.get(highCounts, i) > array.get(lowCounts, i)
maxProbabilityTouchAlert := maxProbabilityTouchAlert or (priceInBin and isPoc)
highProbabilityTouchAlert := highProbabilityTouchAlert or (priceInBin and highProbabilityBin)
bullishReversalTouchAlert := bullishReversalTouchAlert or (priceInBin and highProbabilityBin and bullishDominant)
bearishReversalTouchAlert := bearishReversalTouchAlert or (priceInBin and highProbabilityBin and bearishDominant)
if showPivotDots and array.size(labels) > 0
dotLimit = math.min(maxPivotDots, array.size(pivots))
for i = 0 to dotLimit - 1
st = array.get(pivots, i)
if bar_index - st.bar <= lookbackBars
cid = i < array.size(labels) ? array.get(labels, i) : 0
mark = label.new(st.bar, st.price, "•", xloc = xloc.bar_index, yloc = yloc.price, color = color.new(chart.bg_color, 100), textcolor = color.new(getColor(cid), dotTransparency), style = label.style_label_center, size = sizeFromString(dotSizeInput))
array.push(pivotMarks, mark)
if showProfile and showProfileLabels
topText = "Reversal Probability\n" + str.tostring(localHigh, format.mintick)
bottomText = str.tostring(localLow, format.mintick)
pocText = "Max Reversal Zone\nPivots: " + str.tostring(pocCount)
topLabel = label.new(profileEnd, localHigh, topText, xloc = xloc.bar_index, yloc = yloc.price, color = color.new(chart.bg_color, 100), textcolor = chart.fg_color, style = label.style_label_down, size = size.small)
bottomLabel = label.new(profileEnd, localLow, bottomText, xloc = xloc.bar_index, yloc = yloc.price, color = color.new(chart.bg_color, 100), textcolor = chart.fg_color, style = label.style_label_up, size = size.small)
pocLabel = label.new(profileEnd, pocLevel, pocText, xloc = xloc.bar_index, yloc = yloc.price, color = color.new(chart.bg_color, 100), textcolor = pocColor, style = label.style_label_left, size = size.small)
array.push(profileLabels, topLabel)
array.push(profileLabels, bottomLabel)
array.push(profileLabels, pocLabel)
// Alerts
alertcondition(newResistanceAlert, title = "New Resistance Pivot", message = "A new pivot high resistance point was confirmed.")
alertcondition(newSupportAlert, title = "New Support Pivot", message = "A new pivot low support point was confirmed.")
alertcondition(resistanceBreakAlert, title = "Resistance Break", message = "Price broke above an active pivot resistance line.")
alertcondition(supportBreakAlert, title = "Support Break", message = "Price broke below an active pivot support line.")
alertcondition(maxProbabilityTouchAlert, title = "Max Probability Zone Touch", message = "Price touched the highest probability reversal zone.")
alertcondition(highProbabilityTouchAlert, title = "High Probability Zone Touch", message = "Price touched a reversal zone above the configured probability threshold.")
alertcondition(bullishReversalTouchAlert, title = "Bullish Reversal Zone Touch", message = "Price touched a high probability pivot zone dominated by pivot lows.")
alertcondition(bearishReversalTouchAlert, title = "Bearish Reversal Zone Touch", message = "Price touched a high probability pivot zone dominated by pivot highs.")