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
68 lines of Pine Script v6 from BTC_MaxPain.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
BTC_MaxPain.pine
//@version=6
indicator("BTC Max Pain (Deribit)", "Max Pain", overlay = true, max_lines_count = 100, max_labels_count = 100)
// Generated by maxpain.py on 2026-07-16 12:29 UTC (underlying ~ $64,414)
// Each line = Max Pain of one expiry, drawn from the last bar to its settlement time (08:00 UTC).
// Each expiry gets its own color; the label sits at the LEFT end of the line.
// Line width scales with total OI of that expiry.
//
// DAILY UPDATE -- no code edits needed:
// run: python maxpain.py --currency BTC --top 8 --clip
// then: indicator Settings > paste (Ctrl+V) into the "Data" field.
//
// Note: on intraday timeframes TradingView clamps drawings ~500 bars into the future,
// so far expiries may appear closer than they are -- use the D or W timeframe for the full picture.
dataStr = input.text_area("260717:63000:19508,260724:63000:12553,260731:64000:117291,260828:62000:32574,260925:72000:90092,261225:70000:90146,270326:65000:23330,270625:60000:3581", "Data (YYMMDD:maxpain:oi, comma-separated)")
showOI = input.bool(true, "Show total OI in label")
hideExpired = input.bool(true, "Hide expired")
var string[] monthNames = array.from("JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC")
var color[] palette = array.from(color.orange, color.aqua, color.lime, color.fuchsia, color.yellow, color.red, color.teal, color.purple)
var line[] lns = array.new<line>()
var label[] lbs = array.new<label>()
if barstate.islast
for l in lns
line.delete(l)
for lb in lbs
label.delete(lb)
array.clear(lns)
array.clear(lbs)
items = str.split(dataStr, ",")
float maxOi = 0.0
for it in items
p = str.split(str.trim(it), ":")
if array.size(p) == 3
maxOi := math.max(maxOi, nz(str.tonumber(array.get(p, 2))))
float[] usedPx = array.new<float>()
int drawn = 0
for it in items
p = str.split(str.trim(it), ":")
if array.size(p) == 3
d = int(nz(str.tonumber(array.get(p, 0))))
px = nz(str.tonumber(array.get(p, 1)))
oi = nz(str.tonumber(array.get(p, 2)))
yy = d / 10000
mm = d / 100 % 100
dd = d % 100
expT = timestamp("UTC", 2000 + yy, mm, dd, 8, 0)
if not hideExpired or expT > time
col = array.get(palette, drawn % array.size(palette))
drawn += 1
w = oi >= 0.5 * maxOi ? 3 : oi >= 0.15 * maxOi ? 2 : 1
array.push(lns, line.new(time, px, expT, px, xloc = xloc.bar_time, color = col, style = line.style_dashed, width = w))
// labels sit at the LEFT end of each line; when several expiries share the same
// max pain price, each duplicate is nudged further left so labels don't overlap
dup = 0
for u in usedPx
if u == px
dup += 1
array.push(usedPx, px)
lx = time - dup * 30 * timeframe.in_seconds() * 1000
expName = (dd < 10 ? "0" : "") + str.tostring(dd) + array.get(monthNames, mm - 1) + str.tostring(yy)
txt = expName + " " + str.tostring(px, "#.####")
if showOI
txt := txt + " | OI " + str.tostring(oi, "#") + " BTC"
array.push(lbs, label.new(lx, px, txt, xloc = xloc.bar_time, style = label.style_label_right, color = color.new(col, 85), textcolor = col, size = size.small))
Overview
Each line extends from the latest bar to its settlement timestamp, with line width dynamically scaled according to open interest volume. Labels indicate the expiration date, strike price, and optional open interest metrics. Users can update levels by pasting an external data string, toggle open interest in labels, and hide expired contracts.
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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