This indicator detects equal highs and lows by comparing prices within user-defined left and right bars using a tolerance percentage. It plots horizontal lines on the price chart for equal highs in one color and lows in another. A screener allows input of mult
Indicator · Pine Script v6 · On the chart
Auto Trendlines
Auto Trendlines calculates support and resistance lines by identifying confirmed pivot highs and lows over a specified lookback window.
Repaints
GitHub stars9on the repository
Pine versionv6current
Lines of code459
Settings27inputs
LicenceMIT
Last updateyesterday27 Oct 2026
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 indicator, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
459 lines of Pine Script v6 from indicators/market_structure/auto_trendlines/auto_trendlines.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=6
// ============================================================================
// Auto Trendlines [WavesUnchained]
// Version: 1.1.1
// Author: WavesUnchained
// Build: 2026-06-11 00:00:00
// ============================================================================
// Automatically fits trendlines through confirmed pivot highs and lows,
// validated by minimum touch count and ATR-based tolerance.
//
// Features:
// ✓ Directional or Combinatorial pivot-pair scanning
// ✓ OLS or Outer fit mode per candidate line
// ✓ Touch count, violation %, recency and extreme-anchor scoring
// ✓ Configurable max lines per direction, projection length
// ✓ Sloped / Near-horizontal filter
// ✓ Retest highlighting with distance label
// ✓ Convex hull envelope (optional)
//
// ============================================================================
indicator("Auto Trendlines [WavesUnchained]", overlay=true,
max_lines_count=100, max_labels_count=50, max_bars_back=1000)
// ── Inputs ───────────────────────────────────────────────────────────────────
g_pivot = "Pivots"
pivLeft = input.int(5, "Left Bars", minval=1, group=g_pivot,
tooltip="Bars to the left a pivot must dominate.")
pivRight = input.int(5, "Right Bars", minval=1, group=g_pivot,
tooltip="Right confirmation bars.")
g_line = "Trendlines"
fitMode = input.string("Outer", "Line Fit", options=["OLS","Outer"], group=g_line)
lineMethod = input.string("Directional", "Detection Method", options=["Directional","Combinatorial"], group=g_line)
minTouches = input.int(3, "Min Touches", minval=2, maxval=10, group=g_line)
tolMult = input.float(1.0, "Tolerance (× ATR)", minval=0.05, step=0.05, group=g_line)
lookback = input.int(200, "Lookback (bars)", minval=50, maxval=500, group=g_line)
maxLines = input.int(3, "Max Lines per Direction", minval=1, maxval=10, group=g_line)
maxPivots = input.int(30, "Max Pivots per Direction", minval=10, maxval=100, group=g_line)
minSpan = input.int(15, "Min Line Span (bars)", minval=1, group=g_line)
maxViolPct = input.float(20.0, "Max Violation %", minval=0.0, maxval=50.0, step=0.5, group=g_line)
violSrc = input.string("Close", "Violation Source", options=["Close","Wick"], group=g_line)
projectBars = input.int(30, "Bars past last touch", minval=0, maxval=500, group=g_line)
showMode = input.string("Both", "Show", options=["Sloped","Near-horizontal","Both"], group=g_line)
levelThrATR = input.float(0.5, "Sloped / Flat Cutoff (× ATR over span)", minval=0.1, step=0.1, group=g_line)
relevanceATR = input.float(5.0, "Max current distance (× ATR)", minval=0.5, step=0.5, group=g_line)
g_retest = "Retest"
showRetest = input.bool(true, "Highlight active retest", group=g_retest)
retestThr = input.float(1.0, "Retest distance (× ATR)", minval=0.1, step=0.1, group=g_retest)
retestLabel = input.bool(true, "Show retest label", group=g_retest)
showCount = input.bool(true, "Show touch-count label", group=g_line)
showHull = input.bool(false, "Show convex-hull envelope", group=g_line)
g_color = "Colors"
resistCol = input.color(#d50000, "Resistance lines", group=g_color)
supportCol = input.color(#00c853, "Support lines", group=g_color)
hullResistCol = input.color(color.new(#d50000, 50), "Hull resistance", group=g_color)
hullSupportCol = input.color(color.new(#00c853, 50), "Hull support", group=g_color)
lineWidth = input.int(2, "Line width", minval=1, maxval=5, group=g_color)
lineStyleStr = input.string("Solid", "Line style", options=["Solid","Dashed","Dotted"], group=g_color)
lineStyleVal = lineStyleStr == "Solid" ? line.style_solid : lineStyleStr == "Dashed" ? line.style_dashed : line.style_dotted
// ── Pivot detection ──────────────────────────────────────────────────────────
atr_14 = ta.atr(14)
pivH = ta.pivothigh(high, pivLeft, pivRight)
pivL = ta.pivotlow( low, pivLeft, pivRight)
var array<float> phPrices = array.new<float>()
var array<int> phBars = array.new<int>()
var array<float> plPrices = array.new<float>()
var array<int> plBars = array.new<int>()
// Collect pivots
if not na(pivH)
array.push(phPrices, pivH)
array.push(phBars, bar_index - pivRight)
if not na(pivL)
array.push(plPrices, pivL)
array.push(plBars, bar_index - pivRight)
// Trim old pivots
while array.size(phBars) > 0 and (bar_index - array.get(phBars, 0) > lookback or array.size(phBars) > maxPivots)
array.shift(phPrices)
array.shift(phBars)
while array.size(plBars) > 0 and (bar_index - array.get(plBars, 0) > lookback or array.size(plBars) > maxPivots)
array.shift(plPrices)
array.shift(plBars)
// ── Persistent containers ────────────────────────────────────────────────────
var array<line> resistLines = array.new<line>()
var array<line> supportLines = array.new<line>()
var array<line> hullLines = array.new<line>()
var array<label> touchLabels = array.new<label>()
var array<label> retestLabels = array.new<label>()
// ── Helper: Add candidate with scoring ────────────────────────────────────────
_addCandidate(slope, intercept, oldB, newB, touches, sumRes, isResist, topThresh, tol, n, lookback, cSlope, cIntercept, cOldest, cNewest, cTouches, cScore, prices, bars) =>
span = newB - oldB
violations = 0
if span > 1
for off = 1 to span - 1
iBar = oldB + off
period = bar_index - iBar
if period >= 0
float src = isResist ? (violSrc == "Wick" ? high[period] : close[period]) : (violSrc == "Wick" ? low[period] : close[period])
if not na(src)
lineY = slope * iBar + intercept
if isResist
if src > lineY + tol
violations += 1
else
if src < lineY - tol
violations += 1
violPct = 100.0 * violations / math.max(1, span)
lineAtCur = slope * bar_index + intercept
relevant = math.abs(lineAtCur - close) <= atr_14 * relevanceATR
slopeATR = math.abs(slope * span) / atr_14
modeOK = showMode == "Both" or (showMode == "Sloped" and slopeATR >= levelThrATR) or (showMode == "Near-horizontal" and slopeATR < levelThrATR)
extremeTouches = 0
for kx = 0 to n - 1
ykx = array.get(prices, kx)
xkx = array.get(bars, kx)
lineYkx = slope * xkx + intercept
if math.abs(ykx - lineYkx) <= tol
if (isResist and ykx >= topThresh) or (not isResist and ykx <= topThresh)
extremeTouches += 1
hasExtreme = extremeTouches >= 1
violOK = hasExtreme or violPct <= maxViolPct
if violOK and relevant and modeOK
avgRes = touches > 0 ? sumRes / touches : tol
recency = bar_index - newB
recBonus = math.max(0.2, 1.0 - (recency * 1.0) / lookback)
fitFact = 1.0 / (1.0 + avgRes / tol)
violPen = 1.0 / (1.0 + violPct / 5.0)
extBonus = extremeTouches == 0 ? 0.5 : math.min(3.0, 1.0 + extremeTouches * 0.5)
score = touches * span * extBonus * recBonus * fitFact * violPen
array.push(cSlope, slope)
array.push(cIntercept, intercept)
array.push(cOldest, oldB)
array.push(cNewest, newB)
array.push(cTouches, touches)
array.push(cScore, score)
// ── Trendline finder ────────────────────────────────────────────────────────
findTrendlines(array<float> prices, array<int> bars, bool isResist, color lineCol, float atr) =>
n = array.size(prices)
if n >= minTouches and not na(atr) and atr > 0
tol = atr * tolMult
sortedP = array.copy(prices)
array.sort(sortedP, isResist ? order.descending : order.ascending)
int topNIdx = math.max(0, math.floor(n * 0.15) - 1)
float topThresh = n > 0 ? array.get(sortedP, topNIdx) : na
cSlope = array.new<float>()
cIntercept = array.new<float>()
cOldest = array.new<int>()
cNewest = array.new<int>()
cTouches = array.new<int>()
cScore = array.new<float>()
if lineMethod == "Directional"
for i = 0 to n - 2
for j = i + 1 to n - 1
xi = array.get(bars, i)
yi = array.get(prices, i)
xj = array.get(bars, j)
yj = array.get(prices, j)
if xi == xj
continue
slope0 = (yj - yi) / (xj - xi)
if isResist and slope0 > 0
continue
if not isResist and slope0 < 0
continue
slope = slope0
intercept = yi - slope * xi
bool anchorAtTop = (isResist and (yi >= topThresh or yj >= topThresh)) or (not isResist and (yi <= topThresh or yj <= topThresh))
float effTol = anchorAtTop ? tol * 2.0 : tol
touches = 0
oldB = xi
newB = xj
sumRes = 0.0
for k = 0 to n - 1
xk = array.get(bars, k)
yk = array.get(prices, k)
expected = slope * xk + intercept
residual = math.abs(yk - expected)
if residual <= effTol
sumRes += residual
if xk < oldB
oldB := xk
if xk > newB
newB := xk
touches += 1
if touches >= minTouches
span = newB - oldB
if span >= minSpan
_addCandidate(slope, intercept, oldB, newB, touches, sumRes, isResist, topThresh, tol, n, lookback, cSlope, cIntercept, cOldest, cNewest, cTouches, cScore, prices, bars)
else
for i = 0 to n - 2
for j = i + 1 to n - 1
xi = array.get(bars, i)
yi = array.get(prices, i)
xj = array.get(bars, j)
yj = array.get(prices, j)
if xi == xj
continue
slope0 = (yj - yi) / (xj - xi)
intercept0 = yi - slope0 * xi
bool dirOK = (isResist ? slope0 <= 0.0 : slope0 >= 0.0)
if not dirOK
continue
bool anchorAtTop = (isResist and (yi >= topThresh or yj >= topThresh)) or (not isResist and (yi <= topThresh or yj <= topThresh))
float effTol = anchorAtTop ? tol * 2.0 : tol
slope = slope0
intercept = intercept0
sumX = 0.0
sumY = 0.0
sumXY = 0.0
sumX2 = 0.0
cnt0 = 0
for k = 0 to n - 1
xk = array.get(bars, k)
yk = array.get(prices, k)
expected = slope0 * xk + intercept0
if math.abs(yk - expected) <= effTol
sumX += xk
sumY += yk
sumXY += xk * yk
sumX2 += xk * xk
cnt0 += 1
if cnt0 >= 2
denom = cnt0 * sumX2 - sumX * sumX
if denom != 0
slope := (cnt0 * sumXY - sumX * sumY) / denom
intercept := (sumY - slope * sumX) / cnt0
if fitMode == "Outer"
float maxResid = 0.0
bool firstInl = true
for k = 0 to n - 1
xk = array.get(bars, k)
yk = array.get(prices, k)
olsY = slope * xk + intercept
if math.abs(yk - olsY) <= tol
resid = yk - olsY
if firstInl
maxResid := resid
firstInl := false
else
if isResist
if resid > maxResid
maxResid := resid
else
if resid < maxResid
maxResid := resid
intercept := intercept + maxResid
touches = 0
oldB = xi
newB = xj
sumRes = 0.0
for k = 0 to n - 1
xk = array.get(bars, k)
yk = array.get(prices, k)
expected = slope * xk + intercept
residual = math.abs(yk - expected)
if residual <= tol
sumRes += residual
if xk < oldB
oldB := xk
if xk > newB
newB := xk
touches += 1
if touches >= minTouches
span = newB - oldB
if span >= minSpan
_addCandidate(slope, intercept, oldB, newB, touches, sumRes, isResist, topThresh, tol, n, lookback, cSlope, cIntercept, cOldest, cNewest, cTouches, cScore, prices, bars)
nc = array.size(cScore)
if nc > 0
indices = array.new<int>()
for ii = 0 to nc - 1
array.push(indices, ii)
if nc > 1
for ii = 0 to nc - 2
maxAt = ii
for jj = ii + 1 to nc - 1
if array.get(cScore, array.get(indices, jj)) > array.get(cScore, array.get(indices, maxAt))
maxAt := jj
if maxAt != ii
tmp = array.get(indices, ii)
array.set(indices, ii, array.get(indices, maxAt))
array.set(indices, maxAt, tmp)
used = array.new_bool(n, false)
drawn = 0
for ii = 0 to nc - 1
if drawn >= maxLines
break
ci = array.get(indices, ii)
slope = array.get(cSlope, ci)
intercept = array.get(cIntercept, ci)
oldB = array.get(cOldest, ci)
newB = array.get(cNewest, ci)
touches = array.get(cTouches, ci)
unusedC = 0
toMark = array.new<int>()
for k = 0 to n - 1
xk = array.get(bars, k)
yk = array.get(prices, k)
expected = slope * xk + intercept
if math.abs(yk - expected) <= tol and not array.get(used, k)
unusedC += 1
array.push(toMark, k)
if unusedC >= minTouches
actualT = array.size(toMark)
extraT = actualT - minTouches
scaledW = actualT >= 7 ? lineWidth + 2 : actualT >= 5 ? lineWidth + 1 : actualT >= 4 ? lineWidth : math.max(1, lineWidth - 1)
transp = math.max(0, 60 - extraT * 15)
lineAtNow = slope * bar_index + intercept
distATR = math.abs(close - lineAtNow) / atr
inRetest = showRetest and distATR <= retestThr
if inRetest
transp := math.max(0, transp - 30)
scaledW := scaledW + 1
endBar = math.max(newB + projectBars, bar_index)
yOld = slope * oldB + intercept
yEnd = slope * endBar + intercept
ln = line.new(oldB, yOld, endBar, yEnd,
color=color.new(lineCol, transp), width=scaledW, style=lineStyleVal)
if isResist
array.push(resistLines, ln)
else
array.push(supportLines, ln)
if showCount
lbl = label.new(endBar, yEnd, str.tostring(actualT),
style=isResist ? label.style_label_down : label.style_label_up,
color=color.new(lineCol, transp), textcolor=color.white, size=size.tiny)
array.push(touchLabels, lbl)
if inRetest and retestLabel
rLbl = label.new(bar_index, lineAtNow,
"Retest " + str.tostring(distATR, "#.0#") + " ATR",
style=label.style_label_left,
color=color.new(lineCol, transp), textcolor=color.white, size=size.tiny)
array.push(retestLabels, rLbl)
for kk = 0 to array.size(toMark) - 1
array.set(used, array.get(toMark, kk), true)
drawn += 1
// ── Convex hull (Andrew's monotone chain) ────────────────────────────────────
findHull(array<float> prices, array<int> bars, bool isUpper, color lineCol) =>
n = array.size(prices)
if n >= 2
hull = array.new<int>()
for i = 0 to n - 1
while array.size(hull) >= 2
last = array.get(hull, array.size(hull) - 1)
slast = array.get(hull, array.size(hull) - 2)
hax = array.get(bars, slast)
hay = array.get(prices, slast)
hbx = array.get(bars, last)
hby = array.get(prices, last)
hcx = array.get(bars, i)
hcy = array.get(prices, i)
cross = (hbx - hax) * (hcy - hay) - (hby - hay) * (hcx - hax)
if (isUpper and cross >= 0) or (not isUpper and cross <= 0)
array.pop(hull)
else
break
array.push(hull, i)
hn = array.size(hull)
if hn >= 2
for i = 0 to hn - 2
idxA = array.get(hull, i)
idxB = array.get(hull, i + 1)
xa = array.get(bars, idxA)
ya = array.get(prices, idxA)
xb = array.get(bars, idxB)
yb = array.get(prices, idxB)
isLast = i == hn - 2
xEnd = isLast ? xb + projectBars : xb
yEnd = isLast and xb != xa ? ya + (yb - ya) * (xEnd - xa) / (xb - xa) : yb
ln = line.new(xa, ya, xEnd, yEnd,
color=lineCol, width=1, style=line.style_dotted)
array.push(hullLines, ln)
// ── Render ───────────────────────────────────────────────────────────────────
if barstate.islast
for ln in resistLines
line.delete(ln)
array.clear(resistLines)
for ln in supportLines
line.delete(ln)
array.clear(supportLines)
for ln in hullLines
line.delete(ln)
array.clear(hullLines)
for lb in touchLabels
label.delete(lb)
array.clear(touchLabels)
for lb in retestLabels
label.delete(lb)
array.clear(retestLabels)
findTrendlines(phPrices, phBars, true, resistCol, atr_14)
findTrendlines(plPrices, plBars, false, supportCol, atr_14)
if showHull
findHull(phPrices, phBars, true, hullResistCol)
findHull(plPrices, plBars, false, hullSupportCol)
Overview
Auto Trendlines validates trendline candidates using ATR-based touch tolerances, touch counts, line spans, and max violation thresholds. Traders can choose between OLS or Outer fitting algorithms and directional or combinatorial pivot pairing methods. The indicator highlights active retests with labels and can plot an optional convex hull envelope directly on the price chart.
- Directional or combinatorial pivot scanning
- OLS and Outer trendline fitting modes
- ATR-based touch tolerance and violation filtering
- Active retest detection with labels
- Optional convex hull envelope
Details
Published by
casoon on GitHub
Type
Indicator, Pine Script v6
Draws
On the price chart
Category
Trend, Support & resistance
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
- Signals can change on the live bar or after it closes (repainting)
Topics
pine-scriptpinescripttechnical-analysistrading-indicatorstrading-strategiestradingview
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Left Bars | int | 5 | pivLeft |
| Right Bars | int | 5 | pivRight |
| Line Fit | string | Outer | fitMode |
| Detection Method | string | Directional | lineMethod |
| Min Touches | int | 3 | minTouches |
| Tolerance (× ATR) | float | 1.0 | tolMult |
| Lookback (bars) | int | 200 | lookback |
| Max Lines per Direction | int | 3 | maxLines |
| Max Pivots per Direction | int | 30 | maxPivots |
| Min Line Span (bars) | int | 15 | minSpan |
| Max Violation % | float | 20.0 | maxViolPct |
| Violation Source | string | Close | violSrc |
Show all 27 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Bars past last touch | int | 30 | projectBars |
| Show | string | Both | showMode |
| Sloped / Flat Cutoff (× ATR over span) | float | 0.5 | levelThrATR |
| Max current distance (× ATR) | float | 5.0 | relevanceATR |
| Highlight active retest | bool | true | showRetest |
| Retest distance (× ATR) | float | 1.0 | retestThr |
| Show retest label | bool | true | retestLabel |
| Show touch-count label | bool | true | showCount |
| Show convex-hull envelope | bool | false | showHull |
| Resistance lines | color | #d50000 | resistCol |
| Support lines | color | #00c853 | supportCol |
| Hull resistance | color | color.new(#d50000, 50) | hullResistCol |
| Hull support | color | color.new(#00c853, 50) | hullSupportCol |
| Line width | int | 2 | lineWidth |
| Line style | string | Solid | lineStyleStr |
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.
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