[{"data":1,"prerenderedAt":33925},["ShallowReactive",2],{"kscript:functions/foreign-panes":3},{"slug":4,"filePath":5,"frontmatter":6,"rawMarkdown":57,"tree":58},"functions/foreign-panes","functions/foreign-panes.md",{"title":7,"description":8,"verified":9},"Foreign-Domain Panes","Offchart panes that ignore the time axis: categorical grids (plotMatrix), numeric-X curves (plotCurve), and KPI tile dashboards (plotTiles), plus the shared structural rules and caps.",{"engine":10,"probes":11},"3.0.67",[12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],"scripts/probes/foreign-panes/cap-curve-7-series.ks","scripts/probes/foreign-panes/cap-label-overlong.ks","scripts/probes/foreign-panes/cap-tiles-columns-9.ks","scripts/probes/foreign-panes/err-gridheight-high.ks","scripts/probes/foreign-panes/err-gridheight-low.ks","scripts/probes/foreign-panes/err-missing-define.ks","scripts/probes/foreign-panes/err-onchart-define.ks","scripts/probes/foreign-panes/err-pane-plus-plot.ks","scripts/probes/foreign-panes/err-strategy-pane.ks","scripts/probes/foreign-panes/err-two-panes.ks","scripts/probes/foreign-panes/happy-curve.ks","scripts/probes/foreign-panes/happy-matrix.ks","scripts/probes/foreign-panes/happy-tiles.ks","scripts/probes/foreign-panes/na-cell-drop.ks","scripts/probes/foreign-panes/style-input-pane.ks","scripts/probes/foreign-panes/style-input-plotline-ref.ks","scripts/probes/foreign-panes/tiles-accent-neg-happy.ks","scripts/probes/foreign-panes/tiles-format-optional.ks","scripts/probes/foreign-panes/tiles-happy-minimal.ks","scripts/probes/foreign-panes/tiles-market-snapshot.ks","scripts/probes/foreign-panes/tiles-na-drop-before-validation.ks","scripts/probes/foreign-panes/tiles-no-data-kwarg.ks","scripts/probes/foreign-panes/tiles-reject-bad-accent.ks","scripts/probes/foreign-panes/tiles-reject-bad-format.ks","scripts/probes/foreign-panes/tiles-reject-caption-49.ks","scripts/probes/foreign-panes/tiles-reject-columns-0.ks","scripts/probes/foreign-panes/tiles-reject-columns-9.ks","scripts/probes/foreign-panes/tiles-reject-data-25-rows.ks","scripts/probes/foreign-panes/tiles-reject-duplicate-data-rows.ks","scripts/probes/foreign-panes/tiles-reject-duplicate-data-texts.ks","scripts/probes/foreign-panes/tiles-reject-gridheight-oob.ks","scripts/probes/foreign-panes/tiles-reject-label-25.ks","scripts/probes/foreign-panes/tiles-reject-missing-label.ks","scripts/probes/foreign-panes/tiles-reject-numeric-to-text-tile.ks","scripts/probes/foreign-panes/tiles-reject-static-text-on-number-tile.ks","scripts/probes/foreign-panes/tiles-reject-string-in-data-literal.ks","scripts/probes/foreign-panes/tiles-reject-text-tile-missing-static.ks","scripts/probes/foreign-panes/tiles-reject-texts-33-chars.ks","scripts/probes/foreign-panes/tiles-reject-texts-missing-text-key.ks","scripts/probes/foreign-panes/tiles-reject-texts-target-nontext.ks","scripts/probes/foreign-panes/tiles-reject-tileindex-oob.ks","scripts/probes/foreign-panes/tiles-reject-tiles-25.ks","scripts/probes/foreign-panes/tiles-reject-tiles-empty.ks","scripts/probes/foreign-panes/tiles-reject-unknown-tile-key.ks","scripts/probes/foreign-panes/tiles-texts-static-fallback.ks","---\ntitle: Foreign-Domain Panes\ndescription: >-\n Offchart panes that ignore the time axis: categorical grids (plotMatrix),\n numeric-X curves (plotCurve), and KPI tile dashboards (plotTiles), plus the\n shared structural rules and caps.\nverified:\n engine: 3.0.67\n probes:\n - scripts/probes/foreign-panes/cap-curve-7-series.ks\n - scripts/probes/foreign-panes/cap-label-overlong.ks\n - scripts/probes/foreign-panes/cap-tiles-columns-9.ks\n - scripts/probes/foreign-panes/err-gridheight-high.ks\n - scripts/probes/foreign-panes/err-gridheight-low.ks\n - scripts/probes/foreign-panes/err-missing-define.ks\n - scripts/probes/foreign-panes/err-onchart-define.ks\n - scripts/probes/foreign-panes/err-pane-plus-plot.ks\n - scripts/probes/foreign-panes/err-strategy-pane.ks\n - scripts/probes/foreign-panes/err-two-panes.ks\n - scripts/probes/foreign-panes/happy-curve.ks\n - scripts/probes/foreign-panes/happy-matrix.ks\n - scripts/probes/foreign-panes/happy-tiles.ks\n - scripts/probes/foreign-panes/na-cell-drop.ks\n - scripts/probes/foreign-panes/style-input-pane.ks\n - scripts/probes/foreign-panes/style-input-plotline-ref.ks\n - scripts/probes/foreign-panes/tiles-accent-neg-happy.ks\n - scripts/probes/foreign-panes/tiles-format-optional.ks\n - scripts/probes/foreign-panes/tiles-happy-minimal.ks\n - scripts/probes/foreign-panes/tiles-market-snapshot.ks\n - scripts/probes/foreign-panes/tiles-na-drop-before-validation.ks\n - scripts/probes/foreign-panes/tiles-no-data-kwarg.ks\n - scripts/probes/foreign-panes/tiles-reject-bad-accent.ks\n - scripts/probes/foreign-panes/tiles-reject-bad-format.ks\n - scripts/probes/foreign-panes/tiles-reject-caption-49.ks\n - scripts/probes/foreign-panes/tiles-reject-columns-0.ks\n - scripts/probes/foreign-panes/tiles-reject-columns-9.ks\n - scripts/probes/foreign-panes/tiles-reject-data-25-rows.ks\n - scripts/probes/foreign-panes/tiles-reject-duplicate-data-rows.ks\n - scripts/probes/foreign-panes/tiles-reject-duplicate-data-texts.ks\n - scripts/probes/foreign-panes/tiles-reject-gridheight-oob.ks\n - scripts/probes/foreign-panes/tiles-reject-label-25.ks\n - scripts/probes/foreign-panes/tiles-reject-missing-label.ks\n - scripts/probes/foreign-panes/tiles-reject-numeric-to-text-tile.ks\n - scripts/probes/foreign-panes/tiles-reject-static-text-on-number-tile.ks\n - scripts/probes/foreign-panes/tiles-reject-string-in-data-literal.ks\n - scripts/probes/foreign-panes/tiles-reject-text-tile-missing-static.ks\n - scripts/probes/foreign-panes/tiles-reject-texts-33-chars.ks\n - scripts/probes/foreign-panes/tiles-reject-texts-missing-text-key.ks\n - scripts/probes/foreign-panes/tiles-reject-texts-target-nontext.ks\n - scripts/probes/foreign-panes/tiles-reject-tileindex-oob.ks\n - scripts/probes/foreign-panes/tiles-reject-tiles-25.ks\n - scripts/probes/foreign-panes/tiles-reject-tiles-empty.ks\n - scripts/probes/foreign-panes/tiles-reject-unknown-tile-key.ks\n - scripts/probes/foreign-panes/tiles-texts-static-fallback.ks\n---\n\nEvery plot on the [Plotting](./plotting.md) page draws against the chart's shared time axis. The foreign-pane builtins are different: each one emits a whole **offchart pane with a pane-private X domain** (a category grid, a numeric axis, a card layout) instead of a time series. The chart renders these panes exempt from time-axis pan/zoom and the crosshair, and hides the legend's per-timestamp value readout by default, because there is no \"value at this timestamp\" for non-time rows.\n\n| Function | Description |\n| --------------------------- | --------------------------------------------------------------------------------- |\n| [`plotMatrix`](#plotmatrix) | Categorical grid: rows × columns of values (returns tables, correlations, seasonality) |\n| [`plotCurve`](#plotcurve) | Function pane over a numeric X axis (distributions, curves over price or horizon) |\n| [`plotTiles`](#plottiles) | KPI card dashboard (snapshot stats) |\n\nFor a complete worked recipe, start with the\n[Historical Returns Matrix](../cookbook/historical-returns.md) cookbook page: it\nbuilds a month-by-year returns grid end to end and explains each decision.\n\n## How foreign panes behave\n\nThe three builtins share the same ground rules:\n\n- **The script must be offchart.** A foreign-pane script's `define` uses `position: \"offchart\"`; every example below does.\n- **One foreign pane per script, and nothing beside it.** A second pane call, or any time-domain plot in the same script, is a build error, not a merge: see [Structural rules](#structural-rules).\n- **Call the builtin once, with the finished dataset, from an `isLastBar` block.** The idiomatic shape is: accumulate per-bar state in `static` arrays as the bars replay, then bucket, derive, and plot in the finalization block. Each run re-emits the whole pane.\n- **Rows are delivered verbatim.** No timestamps are prefixed to your rows, and there is no lazyload/backfill for foreign rows; the output's `data` is exactly the array you passed (minus dropped `na` rows, see below).\n- **`gridHeight` is shared.** All three accept `gridHeight` (0.05 to 0.9, the pane's height as a fraction of the chart), and the pane relayouts when the emitted value changes. Both endpoints are legal: the probes below run at 0.05 and at 0.9.\n- **Write these scripts with `//@version=3`.** The object-literal kwargs (`summary`, `highlight`) and the lambda-heavy examples are v3 surface; a v3-headed script runs lambdas (`map`/`filter`/`reduce`), object literals, and the foreign-pane builtins through the full build ladder with no downgrade.\n- **No `label`/`desc`.** Unlike the series plots, foreign-pane builtins take no label arrays; the strict build passes without them (the pane's identity is the script itself).\n\n\u003Ca id=\"structural-rules\">\u003C/a>\n## Structural rules\n\nA foreign pane is not one plot among many: it owns the script's whole output, and the build enforces that shape before the script ever runs. Each rejection below stops the strict build and the compile; every message is quoted verbatim from engine 3.0.67, reproduced by a probe, including the `line:column` position the editor anchors the diagnostic at.\n\n| You wrote | Exact error |\n| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |\n| A pane call with no `define()` in the script | `Script must start with a define(title, position, axis) or strategy(title) statement at 5:1` |\n| A pane call inside a `strategy()` script | `plotMatrix requires define(title, \"offchart\", ...): foreign-domain panes own a dedicated offchart pane at 12:3` |\n| `define(\"...\", \"onchart\", true)` plus a pane call | `plotMatrix requires define(position=\"offchart\"): foreign-domain panes ignore the shared time axis (got \"onchart\") at 5:1` |\n| `plotMatrix(...)` and then `plotCurve(...)` | `Only one foreign-domain pane output per script: plotCurve conflicts with plotMatrix (line 10) at 15:3` |\n| `plotLine(...)` in the same script as `plotMatrix(...)` | `plotLine cannot be combined with plotMatrix: a foreign-domain pane owns the script's whole output at 9:1` |\n\nHow to read them:\n\n- **A script with no `define()` at all never reaches the pane-specific message**: the general script-start rule fires first. The pane-specific missing-define text (`requires define(title, \"offchart\", ...)`) is what you get when the script's header exists but is not a `define` (the probe uses a `strategy()` header), and it anchors at the pane call itself.\n- **Wrong position** anchors at the `define` statement, and the message quotes the position it found (`got \"onchart\"`).\n- **Two panes**: the message names the second pane call as conflicting with the first, `(line 10)` is the line of the *first* pane call, and the diagnostic anchors at the second call (`15:3`). The rule spans kinds (the probe mixes `plotMatrix` and `plotCurve`).\n- **Pane plus time-domain plot**: the message names the time-domain plot and anchors at its call (`plotLine` at `9:1` in the probe, where the `plotLine` sits above the pane call). There is no way to keep a \"small\" line plot next to a pane; give it its own script.\n\nWhen the shape is legal, the script emits exactly one main output: its plot kind is the literal `matrix` / `curve` / `tiles`, the emitted `define.position` is `\"offchart\"`, and `settings` carries only the keys you passed, verbatim. The happy-path probes for all three kinds confirm the round-trip, down to a curve marker's literal `x: \"spot\"` surviving untouched.\n\n\u003Ca id=\"pane-inputs-recompute\">\u003C/a>\n## Pane inputs are never style-only\n\nOn time-domain plots, a color input bound directly to a style argument is classified style-only: `input(\"lineColor\", \"color\", \"#38bdf8\")` fed to `plotLine(colors=[lineColor], ...)` reports `styleOnly: true`, `settingsTier: \"redraw\"`, and a style binding to the plot's color property, so changing it restyles the plot without re-running the script. Bind the same kind of input to a foreign-pane style argument (`plotCurve(color = payoffColor, ...)`) and the classification flips: `styleOnly: false`, `affectsCompute: true`, `settingsTier: \"recompute\"`, no style binding. Pane style arguments are deliberately absent from the style-only analysis, so **any settings change on a foreign-pane script re-runs the script**. Treat pane inputs as recompute triggers, not live style patches.\n\n\u003Ca id=\"caps\">\u003C/a>\n## Caps\n\nOne shared table of limits covers all three builtins. Every cap is enforced at the source with a **named error that quotes the offending value** (never a silent truncation or clamp), and the values mirror the chart engine's frozen pane-contract constants, so nothing gets re-clamped downstream either. Most violations that are literals in your source stop the strict build; a few argument checks (for example `plotTiles.columns`) report when the script runs. Bounds are inclusive: probes run clean with `gridHeight` at exactly `0.05` (curve) and exactly `0.9` (tiles), a 24-character label, and a fully-covered 64 × 64 matrix.\n\n| Limit | Value | Applies to |\n| -------------------- | ---------------- | ------------------------------------------------------------------------------ |\n| Label length | 24 chars | matrix `rowLabels` / `colLabels` entries, curve `series[].label`, tile `label` |\n| Summary label length | 12 chars | matrix `summary[].label` |\n| Marker label length | 16 chars | curve `markers[].label` |\n| Tile text length | 32 chars | tile `text`, computed `texts[].text` |\n| Caption length | 48 chars | tile `caption` |\n| Color string length | 32 chars | every pane color setting (curve `color`, `series[].color`, `markers[].color`) |\n| Matrix cells | 20,000 data rows | `plotMatrix` `data` |\n| Matrix axis labels | 64 entries each | `rowLabels`, `colLabels` |\n| Matrix summary rows | 5 | `summary` |\n| Curve series | 6 | data columns beyond `x`, `series` entries |\n| Curve points | 50,000 data rows | `plotCurve` `data` |\n| Curve markers | 8 | `markers` |\n| Tiles | 24 | `tiles` entries (also bounds the `tileIndex` a data row may address) |\n| Tile columns | 1 to 8 | `columns` |\n| `gridHeight` | 0.05 to 0.9 | all three builtins |\n\nCross-kind demonstrations (the per-builtin sections below carry the full per-message tables):\n\n- Emit curve rows carrying seven series columns and the build stops with `plotCurve supports at most 6 series, data[0] carries 7 at 10:13`: a named error, not a truncation to six.\n- A 25-character matrix axis label stops the build with `plotMatrix.rowLabels[0] exceeds 24 characters (got 25: \"ABCDEFGHIJKLMNOP…\") at 11:18`.\n- `columns = 9` on `plotTiles` compiles, then the run reports `plotTiles.columns must be an integer in 1..8, got 9 at 9:3`.\n- An out-of-range `gridHeight` stops the build on any kind, with the message prefixed by the builtin that got it: `plotMatrix.gridHeight must be in 0.05..0.9, got 0.04 at 13:18` and `plotCurve.gridHeight must be in 0.05..0.9, got 0.91 at 11:18`.\n\n\u003Ca id=\"plotmatrix\">\u003C/a>\n## plotMatrix\n\nRenders a **categorical grid**: `rowLabels` × `colLabels` cells, each holding one number. Use it for month-by-year returns tables, correlation matrices, weekday/month seasonality grids, or any rows-by-columns summary your loaded history can compute.\n\n`plotMatrix(data, rowLabels, colLabels, format?, summary?, highlight?, gridHeight?, hideLegendValues?)`\n\n| Parameter | Type | Description |\n| ------------------ | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| `data` | array | `[rowIdx, colIdx, value]` rows. `rowIdx`/`colIdx` are 0-based indices into the label arrays; `value` is a finite number. Up to **20,000** rows; `[]` is legal (cells nobody covers render empty). |\n| `rowLabels` | string[] | Required. One label per grid row: 1 to **64** entries, each up to **24** characters. |\n| `colLabels` | string[] | Required. One label per grid column; same limits as `rowLabels`. |\n| `format` | string | `\"number\"` (compact, e.g. `62.5K`) or `\"percent\"` (`0.047` renders as `+4.7%`). When omitted, no `format` key is emitted and the engine renders its `\"number\"` default. |\n| `summary` | object[] | Up to **5** pinned full-width rows under the grid, each `{ label, values }`: `label` up to **12** characters, `values` column-aligned (exactly one entry per column), `na` renders as a blank. |\n| `highlight` | object | `{ row?: r, col?: c }`: emphasizes a row and/or column (e.g. the forming month). |\n| `gridHeight` | number | Pane height as a fraction of the chart, 0.05 to 0.9. |\n| `hideLegendValues` | boolean | Foreign panes hide the legend value readout by default; pass `false` to keep it. |\n\n### Minimal call\n\nThe smallest viable call is `data` + `rowLabels` + `colLabels`:\n\n```javascript title=\"happy-minimal.ks\"\n//@version=3\n// plotMatrix happy path, smallest viable call: data + rowLabels + colLabels\n// only. format defaults to \"number\"; summary/highlight/gridHeight omitted.\n// One cell reads the live close so the source stays wired.\ndefine(\"PM Happy Minimal\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotMatrix(\n data = [[0, 0, 0.5], [0, 1, -0.25], [1, 2, d.close]],\n rowLabels = [\"A\", \"B\"],\n colLabels = [\"X\", \"Y\", \"Z\"]\n )\n}\n```\n\nWhat lands in the output is exactly what you passed: the output's plot type is `matrix`, `data` is your three rows verbatim, and `settings` carries **only** `rowLabels` and `colLabels`. Nothing is injected for you: omit `format` and no `format` key exists in the emitted settings (the engine then renders its compact-number default).\n\n### Every parameter\n\n```javascript title=\"happy-full-kwargs.ks\"\n//@version=3\n// plotMatrix with every kwarg: percent format, one summary row whose values\n// include na (renders blank / null on the wire), highlight row+col,\n// gridHeight, hideLegendValues=false.\ndefine(\"PM Full Kwargs\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotMatrix(\n data = [[0, 0, 0.047], [0, 1, -0.012], [1, 0, 0.003], [1, 2, 0.101]],\n rowLabels = [\"2023\", \"2024\"],\n colLabels = [\"Jan\", \"Feb\", \"Mar\"],\n format = \"percent\",\n summary = [\n { label: \"AVG\", values: [0.025, -0.012, na] }\n ],\n highlight = { row: 1, col: 2 },\n gridHeight = 0.3,\n hideLegendValues = false\n )\n}\n```\n\nThe observed output for this script carries `format: \"percent\"`, the summary row with values `[0.025, -0.012, null]`, `highlight: { row: 1, col: 2 }`, `gridHeight: 0.3`, and `hideLegendValues: false`. Note the `na` inside `summary[].values`: it is emitted as `null` and renders as a blank column in the pinned row, so a summary row can leave columns open.\n\n### `na` drops the cell; empty data is legal\n\nA data row whose `value` is `na` is dropped before **any** other validation:\n\n```javascript title=\"na-value-drops-cell.ks\"\n//@version=3\n// A data row whose value is na is DROPPED before any index validation:\n// [1, 1, na] emits no cell, and even the wildly out-of-range [9, 9, na]\n// does not error (the value short-circuit runs before the rowIdx/colIdx\n// range checks). Only the two real cells reach the wire. gridHeight at the\n// 0.05 minimum.\ndefine(\"PM NA Drops Cell\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotMatrix(\n data = [[0, 0, 1.5], [1, 1, na], [9, 9, na], [1, 0, 2.5]],\n rowLabels = [\"A\", \"B\"],\n colLabels = [\"X\", \"Y\"],\n gridHeight = 0.05\n )\n}\n```\n\nOnly the two real cells reach the output (`dataLength: 2` observed). The `na` check short-circuits ahead of the index range checks, which is why even the wildly out-of-range `[9, 9, na]` does not error. No data means no cell, never an exception.\n\n`data = []` is legal too: there is no minimum row count, and uncovered cells simply render empty (probe `empty-data-ok.ks` passes the full ladder with an empty array). Labels are different: an **empty `rowLabels` is rejected**, see the error table below.\n\n### Validation: caps and exact errors\n\nEvery limit is enforced with a named error that quotes the offending value and points at your source with a `line:column` suffix; nothing is silently truncated. When the offending value is a literal in your source (an over-long label string, six literal summary rows), the strict build flags it before the script ever runs; computed violations (loop-built arrays, cross-argument checks like column alignment or index ranges) surface when the script runs. The messages below are quoted from engine 3.0.67, each reproduced by a probe:\n\n| What was emitted | Exact error |\n| -------------------------------------------- | -------------------------------------------------------------------------------------------- |\n| 20,001 data rows | `plotMatrix.data must have at most 20000 rows, got 20001 at 17:3` |\n| `rowIdx` 2 with only 2 row labels | `plotMatrix.data[1] rowIdx must be an integer in 0..1, got 2 at 9:3` |\n| The cell `(1, 1)` twice | `plotMatrix.data has duplicate cell (1, 1) at 8:3` |\n| 65 column labels | `plotMatrix.colLabels must have at most 64 entries, got 65 at 12:3` |\n| `rowLabels = []` | `plotMatrix.rowLabels must not be empty at 8:3` |\n| A 25-character axis label | `plotMatrix.rowLabels[1] exceeds 24 characters (got 25: \"ABCDEFGHIJKLMNOP…\") at 11:24` |\n| 6 summary rows | `plotMatrix.summary must have at most 5 rows, got 6 at 12:15` |\n| A 13-character summary label | `plotMatrix.summary[0].label exceeds 12 characters (got 13: \"THIRTEENCHAR!…\") at 14:16` |\n| 2 summary values under 3 columns | `plotMatrix.summary[0].values must have one entry per column (3), got 2 at 9:3` |\n\nThree behaviors worth knowing:\n\n- **The row-count cap fires on the raw array length, before per-row checks.** The 20,001-row probe is 20,001 *identical duplicate* rows, and it reports the cap error, never the duplicate-cell error.\n- **You can only reach the row cap by over-emitting.** With `rowLabels`/`colLabels` capped at 64 entries each, the densest legal grid is 64 × 64 = 4,096 distinct cells.\n- **Every cap is inclusive.** A probe sitting at every limit simultaneously (64 × 64 labels, all 4,096 cells covered, a 24-character axis label, 5 summary rows with 12-character labels and 64 column-aligned values each, `highlight = { row: 63, col: 63 }`, `gridHeight = 0.9`) builds and runs clean.\n\n### Full example: seasonality grid\n\nThe chart-source accumulation pattern: bucket each bar's close-over-close return into `static` weekday × month sums as the bars replay, then emit averages once on the last bar. Buckets with no observations stay blank, the summary row is the per-month average across weekdays, and the highlight tracks the latest bar's cell.\n\n```javascript title=\"SEASONALITY_GRID.ks\"\n//@version=3\n// Weekday x calendar-month seasonality: each cell is the average single-bar\n// close-over-close return for that (weekday, month) bucket across the loaded\n// history. Buckets with no observations stay blank; the summary row is the\n// per-month average across all weekdays. Highlight tracks the latest bar.\ndefine(\"Seasonality Grid\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nstatic sums = []\nstatic counts = []\nstatic prevBox = []\nstatic lastCell = []\n\nif (sums.length == 0) {\n for (var i = 0; i \u003C 84; i = i + 1) {\n sums.push(0)\n counts.push(0)\n }\n lastCell.push(0)\n lastCell.push(0)\n}\n\nvar dayNames = [\"monday\", \"tuesday\", \"wednesday\", \"thursday\", \"friday\", \"saturday\", \"sunday\"]\nvar row = dayNames.indexOf(dayOfWeek())\nvar col = month() - 1\nif (isnum(d.close) && row >= 0) {\n // The highlight tracks the latest NUMERIC bar even when its return is\n // skipped (first bar after a gap has no valid baseline).\n lastCell[0] = row\n lastCell[1] = col\n if (d.close > 0 && prevBox.length > 0 && isnum(prevBox[0]) && prevBox[0] > 0) {\n var idx = row * 12 + col\n sums[idx] = sums[idx] + (d.close / prevBox[0] - 1)\n counts[idx] = counts[idx] + 1\n }\n}\nif (prevBox.length == 0) {\n prevBox.push(d.close)\n} else {\n prevBox[0] = d.close\n}\n\nif (isLastBar) {\n var cells = []\n for (var r = 0; r \u003C 7; r = r + 1) {\n for (var c = 0; c \u003C 12; c = c + 1) {\n var k = r * 12 + c\n if (counts[k] > 0) {\n cells.push([r, c, sums[k] / counts[k]])\n }\n }\n }\n var avgRow = []\n for (var c = 0; c \u003C 12; c = c + 1) {\n var s = 0\n var n = 0\n for (var r = 0; r \u003C 7; r = r + 1) {\n var k = r * 12 + c\n s = s + sums[k]\n n = n + counts[k]\n }\n if (n > 0) {\n avgRow.push(s / n)\n } else {\n avgRow.push(na)\n }\n }\n if (cells.length > 0) {\n plotMatrix(\n data = cells,\n rowLabels = [\"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\", \"Sun\"],\n colLabels = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"],\n format = \"percent\",\n summary = [\n { label: \"AVG\", values: avgRow }\n ],\n highlight = { row: lastCell[0], col: lastCell[1] },\n gridHeight = 0.3\n )\n }\n}\n```\n\n### Full example: monthly returns, interval-independent\n\nAccumulating from the chart source makes a pane depend on the chart's interval and loaded depth: fine for a distribution, wrong for a calendar table. The fix is to compute from **native daily history** fetched with [`requestBars()`](/kscript/core-concepts/multi-source#requestbars-raw-bars-for-drawing) and `anchor: \"latest\"`, so the grid is identical on every chart interval and stable across historical pans. One consequence to expect: a month-over-month return needs a predecessor month, so the grid needs at least two calendar months with a valid daily close before its first cell exists; with less history the script plots nothing rather than guessing.\n\n```javascript title=\"MONTHLY_RETURNS.ks\"\n//@version=3\n// ============================================================================\n// MONTHLY RETURNS\n// Month × year percentage returns rendered as a foreign-domain MATRIX pane\n// (rows = years, columns = months) with AVG / MED / WIN% summary rows per\n// month and the latest data month highlighted.\n//\n// Computed from ONE source of truth: native daily history pinned to the\n// newest rows (requestBars + anchor \"latest\"), which the host keeps live\n// with a dedicated tail refresh. The grid is therefore identical on every\n// chart interval, stable across historical pans, and free of chart-window\n// freshness races; the live month's cell updates at the tail-refresh\n// cadence. Return for month M = close(M) / close(M-1) - 1, where close(M)\n// is the month's last daily close.\n// ============================================================================\ndefine(\"Monthly Returns\", \"offchart\", true)\n\n// The chart source only drives the bar timeline (isLastBar + re-runs); all\n// returns math reads the anchored daily history below.\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n // Three years of native daily bars, independent of the chart interval,\n // loaded depth, and historical pans.\n var rows = requestBars(currentSymbol, \"1d\", { bars: 1095, anchor: \"latest\" })\n\n // A venue with no native daily data makes requestBars fall back to\n // chart-interval rows. Detect that by the SMALLEST consecutive spacing\n // (real dailies have ~1-day minimum steps even when weekends or halts\n // leave larger gaps): multi-day fallback rows would mislabel months (a\n // bar's close can land in the month after its open), so treat them as\n // unusable rather than silently wrong. Intraday fallback rows bucket\n // correctly by timestamp, just over shallower history.\n if (rows.length > 1) {\n var minStep = na\n for (var i = 1; i \u003C rows.length; i = i + 1) {\n var step = rows[i][0] - rows[i - 1][0]\n if (isnum(minStep) == false || step \u003C minStep) {\n minStep = step\n }\n }\n if (isnum(minStep) && minStep > 129600000) {\n rows = []\n }\n }\n\n // Last daily close per calendar month, chronological: key = year*100+month.\n var monthKeys = []\n var monthCloses = []\n for (var i = 0; i \u003C rows.length; i = i + 1) {\n var c = rows[i][4]\n if (isnum(c) && c > 0) {\n var key = year(rows[i][0]) * 100 + month(rows[i][0])\n if (monthKeys.length == 0 || monthKeys[monthKeys.length - 1] != key) {\n monthKeys.push(key)\n monthCloses.push(c)\n } else {\n monthCloses[monthCloses.length - 1] = c\n }\n }\n }\n\n if (monthKeys.length > 0) {\n // Distinct years, chronological (months arrive in order).\n var years = []\n for (var i = 0; i \u003C monthKeys.length; i = i + 1) {\n var y = math.floor(monthKeys[i] / 100)\n if (years.length == 0 || years[years.length - 1] != y) {\n years.push(y)\n }\n }\n\n // Month-over-month % returns placed at [yearRow, monthCol]. Flat parallel\n // arrays (value + calendar month) so the summary pass below can re-bucket.\n // Ratio rows require strictly POSITIVE endpoints (the valid-only close\n // scan above guarantees that).\n var cells = []\n var retVals = []\n var retCols = []\n for (var i = 1; i \u003C monthKeys.length; i = i + 1) {\n var key = monthKeys[i]\n var prevKey = monthKeys[i - 1]\n // Calendar adjacency: a month with no valid close must not turn the\n // next month's cell into a mislabeled multi-month move.\n var expected = prevKey % 100 == 12 ? (math.floor(prevKey / 100) + 1) * 100 + 1 : prevKey + 1\n if (key == expected) {\n var ret = monthCloses[i] / monthCloses[i - 1] - 1\n var row = years.indexOf(math.floor(key / 100))\n var col = key % 100 - 1\n cells.push([row, col, ret])\n retVals.push(ret)\n retCols.push(col)\n }\n }\n\n // Summary rows: AVG / MED / WIN% of each calendar month's returns across\n // years; months with no observations stay blank (na).\n var avgRow = []\n var medRow = []\n var winRow = []\n for (var m = 0; m \u003C 12; m = m + 1) {\n var monthRets = []\n for (var i = 0; i \u003C retVals.length; i = i + 1) {\n if (retCols[i] == m) {\n monthRets.push(retVals[i])\n }\n }\n if (monthRets.length == 0) {\n avgRow.push(na)\n medRow.push(na)\n winRow.push(na)\n } else {\n var sum = monthRets.reduce((acc, r) => acc + r, 0)\n var wins = monthRets.filter((r) => r > 0)\n var sorted = monthRets.slice(0, monthRets.length).sort()\n var mid = math.floor(sorted.length / 2)\n var med = sorted.length % 2 == 1 ? sorted[mid] : (sorted[mid - 1] + sorted[mid]) / 2\n avgRow.push(sum / monthRets.length)\n medRow.push(med)\n winRow.push(wins.length / monthRets.length)\n }\n }\n\n // Highlight the latest DATA month: the last daily bar's month is the one\n // still forming.\n var lastKey = monthKeys[monthKeys.length - 1]\n plotMatrix(\n data = cells,\n rowLabels = years.map((y) => \"\".concat(y)),\n colLabels = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"],\n format = \"percent\",\n summary = [\n { label: \"AVG\", values: avgRow },\n { label: \"MED\", values: medRow },\n { label: \"WIN%\", values: winRow }\n ],\n highlight = { row: years.indexOf(math.floor(lastKey / 100)), col: lastKey % 100 - 1 },\n gridHeight = 0.3\n )\n }\n}\n```\n\n### Full example: cross-symbol correlation grid\n\nCross-symbol sourcing works inside a foreign-pane script: `source(\"ohlcv\", \"ETHUSDT\", currentExchange)` fetches a literal symbol, equal-interval sources align per bar, and each extra symbol consumes a data-source slot. This grid computes pairwise Pearson correlations of single-bar returns for five majors, with `format = \"number\"` and a single AVG summary row. It also shows the storage idiom for parallel series: **one flat `static` array with stride indexing**, because kScript arrays are homogeneous and nested static arrays cannot receive method calls.\n\n```javascript title=\"CORRELATION_GRID.ks\"\n//@version=3\n// Cross-symbol correlation matrix: pairwise Pearson correlation of single-bar\n// returns for five majors on the chart's exchange, over the loaded shared\n// history (capped at the most recent 365 aligned bars). Equal-interval\n// sources align per bar, so the accumulation is a plain parallel pass: a bar\n// contributes only when every symbol has a numeric close. Returns are stored\n// in ONE flat array with stride 5 (kScript arrays are homogeneous and nested\n// element methods are not analyzable, so flat + index math is the idiom).\n// The pane ignores the time axis; each extra symbol consumes a source slot.\ndefine(\"Correlation Grid\", \"offchart\", true)\n\ntimeseries sBTC = source(\"ohlcv\", \"BTCUSDT\", currentExchange)\ntimeseries sETH = source(\"ohlcv\", \"ETHUSDT\", currentExchange)\ntimeseries sSOL = source(\"ohlcv\", \"SOLUSDT\", currentExchange)\ntimeseries sXRP = source(\"ohlcv\", \"XRPUSDT\", currentExchange)\ntimeseries sBNB = source(\"ohlcv\", \"BNBUSDT\", currentExchange)\n\nstatic prevRow = []\nstatic rets = []\n\nvar closesNow = [sBTC.close, sETH.close, sSOL.close, sXRP.close, sBNB.close]\nvar allNum = true\nfor (var i = 0; i \u003C 5; i = i + 1) {\n if (isnum(closesNow[i]) == false || closesNow[i] \u003C= 0) {\n allNum = false\n }\n}\nif (allNum) {\n if (prevRow.length == 5) {\n // Rolling window: only the newest 366 strides are ever kept, so the\n // buffer stays far under the runtime's collection ceiling on long\n // intraday histories (the analysis window is 365 anyway).\n if (rets.length >= 5 * 366) {\n for (var i = 0; i \u003C 5; i = i + 1) {\n rets.removeAt(0)\n }\n }\n for (var i = 0; i \u003C 5; i = i + 1) {\n rets.push(closesNow[i] / prevRow[i] - 1)\n }\n }\n if (prevRow.length == 0) {\n for (var i = 0; i \u003C 5; i = i + 1) {\n prevRow.push(closesNow[i])\n }\n } else {\n for (var i = 0; i \u003C 5; i = i + 1) {\n prevRow[i] = closesNow[i]\n }\n }\n} else {\n // A gap bar invalidates the baseline: without this, the next complete bar\n // would compute a multi-bar \"return\" against the pre-gap close.\n prevRow.clear()\n}\n\nif (isLastBar && rets.length >= 55) {\n var m = math.floor(rets.length / 5)\n var startBar = m > 365 ? m - 365 : 0\n var count = m - startBar\n\n // Per-symbol means over the window.\n var means = []\n for (var s = 0; s \u003C 5; s = s + 1) {\n var sum = 0\n for (var k = startBar; k \u003C m; k = k + 1) {\n sum = sum + rets[k * 5 + s]\n }\n means.push(sum / count)\n }\n\n var cells = []\n var colSums = []\n var colCounts = []\n for (var c = 0; c \u003C 5; c = c + 1) {\n colSums.push(0)\n colCounts.push(0)\n }\n for (var a = 0; a \u003C 5; a = a + 1) {\n for (var b = 0; b \u003C 5; b = b + 1) {\n if (a == b) {\n cells.push([a, b, 1])\n } else {\n var cov = 0\n var varA = 0\n var varB = 0\n for (var k = startBar; k \u003C m; k = k + 1) {\n var dx = rets[k * 5 + a] - means[a]\n var dy = rets[k * 5 + b] - means[b]\n cov = cov + dx * dy\n varA = varA + dx * dx\n varB = varB + dy * dy\n }\n if (varA > 0 && varB > 0) {\n var corr = cov / math.sqrt(varA * varB)\n cells.push([a, b, corr])\n colSums[b] = colSums[b] + corr\n colCounts[b] = colCounts[b] + 1\n }\n }\n }\n }\n\n var avgRow = []\n for (var c = 0; c \u003C 5; c = c + 1) {\n if (colCounts[c] > 0) {\n avgRow.push(colSums[c] / colCounts[c])\n } else {\n avgRow.push(na)\n }\n }\n\n plotMatrix(\n data = cells,\n rowLabels = [\"BTC\", \"ETH\", \"SOL\", \"XRP\", \"BNB\"],\n colLabels = [\"BTC\", \"ETH\", \"SOL\", \"XRP\", \"BNB\"],\n format = \"number\",\n summary = [\n { label: \"AVG\", values: avgRow }\n ],\n gridHeight = 0.3\n )\n}\n```\n\n\u003Ca id=\"plotcurve\">\u003C/a>\n## plotCurve\n\nRenders a **function pane over a numeric X axis**: each data row is one X coordinate plus up to six Y values, drawn as lines or bars with optional vertical reference markers. Use it for return distributions, volatility cones over horizon, gamma profiles over hypothetical spot, or any y = f(x) dataset whose X is a price, a horizon, or a bucket rather than time.\n\n`plotCurve(data, series?, style?, color?, fill?, markers?, valueFormat?, gridHeight?, hideLegendValues?)`\n\n| Parameter | Type | Description |\n| ------------------ | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n| `data` | array | Required. `[x, v1, ...vn]` rows: one leading X plus one value column per series (series *i* reads column *i*+1). `x` must be a finite number, **strictly ascending** row to row; every row carries the same column count. Up to **50,000** rows and **6** value columns. Value cells may be `na` (a gap, see below). |\n| `series` | object[] | Per-series styling, index-aligned with the value columns: `{ label?, color?, fill?, style? }`. Up to **6** entries; `label` up to **24** characters; a per-series `style` (`\"line\"` or `\"bars\"`) wins over the pane default. |\n| `style` | string | `\"line\"` or `\"bars\"`: the whole-pane default render style. |\n| `color` | string | Series-0 color shorthand (single-series ergonomics). |\n| `fill` | boolean | Series-0 area-fill shorthand. |\n| `markers` | object[] | Up to **8** vertical reference lines: `{ x, label?, color? }`. `x` is a finite number or the literal `\"spot\"`, which tracks the main series' last close live; `label` up to **16** characters. |\n| `valueFormat` | string | `\"number\"`, `\"currency\"`, `\"percent\"`, or `\"compact\"`: one formatter drives both the pane's Y axis and its hover tooltips, so they can never disagree. Values render **as-is** in the chosen unit (`\"percent\"` appends `%` without multiplying, so emit `39.7`, not `0.397`). When omitted, no key is emitted. |\n| `gridHeight` | number | Pane height as a fraction of the chart, 0.05 to 0.9. |\n| `hideLegendValues` | boolean | Foreign panes hide the legend value readout by default; the boolean you pass lands verbatim in the emitted settings. |\n\n### Minimal call\n\n`data` alone is a complete call; every other kwarg is optional:\n\n```javascript title=\"ok-minimal-data-only.ks\"\n//@version=3\n// MINIMAL CALL: data only, every other kwarg omitted (no series, no style,\n// no gridHeight). Proves which kwargs are truly optional.\ndefine(\"Curve Minimal Data Only\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotCurve(\n data = [\n [1, 10],\n [2, 12],\n [3, 11]\n ]\n )\n}\n```\n\nThe observed output is plot type `curve` with the three rows verbatim and `settings: {}`: nothing you did not pass is injected, and every omitted kwarg emits no key at all.\n\n### `na` gaps a series; `x` must be real\n\nOnly the value columns may be `na`. An `na` cell is a **gap**, not a zero: it lands as `null` on the wire and the series breaks at that X:\n\n```javascript title=\"ok-na-gap.ks\"\n//@version=3\n// na series values are GAPS, not zeros: the line breaks at x=2 (series 1) and\n// x=3 (series 2). Verifies na is accepted in value columns (only x must be a\n// real ascending number) and lands as null on the wire.\ndefine(\"Curve NA Gap\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotCurve(\n data = [\n [1, 10, 20],\n [2, na, 21],\n [3, 12, na],\n [4, 13, 23],\n [5, 11, 22]\n ],\n series = [\n { label: \"A\", color: \"#43d3c3\" },\n { label: \"B\", color: \"#7a8cff\" }\n ],\n gridHeight = 0.2\n )\n}\n```\n\nThe observed rows are `[2, null, 21]` and `[3, 12, null]`: `x` stays numeric, the `na` cells become `null`, and each series simply skips its gap. The leading `x` gets no such tolerance; an `na` there is a named error (see the table below).\n\n### Styles: pane default, per-series override, series-0 shorthands\n\n`style` sets the default for every series; a `series[i].style` overrides it for that series alone. The call-level `color` and `fill` are shorthands that style series 0:\n\n```javascript title=\"ok-mixed-styles-hidelegend.ks\"\n//@version=3\n// Per-series style overrides the whole-pane default: pane style \"line\", but\n// series 2 renders as bars. Also exercises hideLegendValues = true and the\n// series-0 shorthands (color + fill at call level).\ndefine(\"Curve Mixed Styles\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotCurve(\n data = [\n [0, 5, 2],\n [1, 7, 4],\n [2, 6, 3],\n [3, 9, 5],\n [4, 8, 1]\n ],\n style = \"line\",\n color = \"#5b8def\",\n fill = true,\n series = [\n { label: \"Curve\" },\n { label: \"Histogram\", color: \"#f5c518\", style: \"bars\" }\n ],\n hideLegendValues = true,\n gridHeight = 0.25\n )\n}\n```\n\nThe emitted settings carry all of it verbatim: `style: \"line\"`, `color: \"#5b8def\"`, `fill: true`, `hideLegendValues: true`, and the second series' `style: \"bars\"` override.\n\n### Markers and the `'spot'` literal\n\n`markers` draws up to **8** vertical reference lines. Each marker's `x` is a finite number, or the literal string `\"spot\"`, which tracks the main series' last close live (use it when the curve's X domain is price). Both caps here are inclusive: exactly 8 markers, one of them carrying a 16-character label, build and run clean:\n\n```javascript title=\"ok-markers-8-label16.ks\"\n//@version=3\n// CAP BOUNDARY (pass side): exactly 8 markers, first one with a label of\n// exactly 16 chars (\"ABCDEFGHIJKLMNOP\"), plus the 'spot' literal tracker.\ndefine(\"Curve Markers Max\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotCurve(\n data = [\n [0, 10],\n [10, 12],\n [20, 11],\n [30, 14]\n ],\n series = [\n { label: \"S0\" }\n ],\n markers = [\n { x: 1, label: \"ABCDEFGHIJKLMNOP\", color: \"#f5c518\" },\n { x: \"spot\", label: \"Spot\" },\n { x: 3, label: \"M3\" },\n { x: 4, label: \"M4\" },\n { x: 5, label: \"M5\" },\n { x: 6, label: \"M6\" },\n { x: 7, label: \"M7\" },\n { x: 8, label: \"M8\" }\n ],\n gridHeight = 0.2\n )\n}\n```\n\nThe `\"spot\"` string survives verbatim in the emitted settings (`{ \"x\": \"spot\", \"label\": \"Spot\" }` observed). It is the **only** string `x` accepts; any other string is rejected when the call executes:\n\n> `plotCurve.markers[0].x must be a finite number, got string at 9:3`\n\n### `valueFormat`\n\n`valueFormat` accepts exactly four values: `\"number\"`, `\"currency\"`, `\"percent\"`, and `\"compact\"`; each landed verbatim in the emitted settings in its own probe. The one to internalize is `\"percent\"`: values render as-is with a `%` suffix, nothing is multiplied by 100, so the script emits percent-unit values:\n\n```javascript title=\"ok-valueformat-percent.ks\"\n//@version=3\n// valueFormat \"percent\": values render AS-IS with a % suffix (no x100), so the\n// script emits percent-unit values like 32.5 (not 0.325).\ndefine(\"Curve ValueFormat Percent\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotCurve(\n data = [\n [5, 62.4],\n [10, 55.1],\n [20, 48.9],\n [30, 44.2],\n [60, 39.7]\n ],\n series = [\n { label: \"Ann. Vol\" }\n ],\n valueFormat = \"percent\",\n gridHeight = 0.2\n )\n}\n```\n\nAnything else is a named enum error:\n\n> `Invalid plotCurve.valueFormat 'scientific'. Expected one of: 'number', 'currency', 'percent', 'compact' at 9:3`\n\n### Validation: caps and exact errors\n\nEvery limit is a named error quoting the offending value with a `line:column` suffix; nothing is silently sorted, truncated, or dropped (`na` value cells are preserved as `null` gaps, never removed). In the probes behind this table, the violations visible in literals (an over-long label, a ninth marker, a seventh `series` entry, a seventh value column, an out-of-range `gridHeight`, an onchart `define`) were flagged by the strict build before the script ever ran, while the data-shape rules (strictly ascending `x`, uniform row width, finite `x`), the row cap, the marker `x` type, and the `valueFormat` enum surfaced when the call executed. The messages below are quoted from engine 3.0.67, each reproduced by a probe:\n\n| What was emitted | Exact error |\n| --------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\n| `x` going backwards (1, 3, 2) | `plotCurve.data must be strictly ascending in x: data[2] x=2 follows 3 at 9:3` |\n| The same `x` twice | `plotCurve.data must be strictly ascending in x: data[2] x=2 follows 2 at 9:3` |\n| Rows with different column counts | `plotCurve.data rows must all carry the same series count (2), data[1] carries 1 at 9:3` |\n| `x = na` | `plotCurve.data[1][0] (x) must be a finite number, got na at 9:3` |\n| 50,001 data rows | `plotCurve.data must have at most 50000 rows, got 50001 at 13:3` |\n| 7 value columns after `x` | `plotCurve supports at most 6 series, data[0] carries 7 at 11:7` |\n| 7 `series` entries | `plotCurve.series must have at most 6 entries, got 7 at 15:14` |\n| A 25-character series label | `plotCurve.series[0].label exceeds 24 characters (got 25: \"ABCDEFGHIJKLMNOP…\") at 16:16` |\n| 9 markers | `plotCurve.markers must have at most 8 entries, got 9 at 17:15` |\n| A 17-character marker label | `plotCurve.markers[0].label exceeds 16 characters (got 17: \"ABCDEFGHIJKLMNOP…\") at 19:22` |\n| A marker `x` of `\"flip\"` | `plotCurve.markers[0].x must be a finite number, got string at 9:3` |\n| `valueFormat = \"scientific\"` | `Invalid plotCurve.valueFormat 'scientific'. Expected one of: 'number', 'currency', 'percent', 'compact' at 9:3` |\n| `gridHeight = 0.95` | `plotCurve.gridHeight must be in 0.05..0.9, got 0.95 at 17:18` |\n| `define(..., \"onchart\", ...)` | `plotCurve requires define(position=\"offchart\"): foreign-domain panes ignore the shared time axis (got \"onchart\") at 5:1` |\n\nThe pass side of every cap is probed too: exactly **6** value columns with 6 `series` entries, exactly **8** markers (one of them `\"spot\"`, one with a 16-character label), and exactly **50,000** rows all build, run, and emit in full. The 50,000-row probe's last wire row is `[49999, …]`: nothing was truncated.\n\n### Full example: gamma profile over spot\n\nA two-series GEX curve whose X domain is hypothetical spot price: net GEX filled (crossing zero at the gamma flip), absolute GEX unfilled, a live `\"spot\"` tracker marker plus a fixed flip-level marker. Note where the call sits: at the top level, with **no `isLastBar` gate**. That is legal; the probe passes the full ladder and the run ends with one `curve` output carrying the 8 rows and both markers. Gate the call on `isLastBar` when the dataset derives from accumulated state, as the next two examples do.\n\n```javascript title=\"corpus-gamma-profile.ks\"\n//@version=3\n// ============================================================================\n// GAMMA PROFILE (STATIC)\n// Dealer gamma exposure over hypothetical spot as a foreign-domain CURVE\n// pane: net GEX (filled, crossing zero at the gamma flip) plus absolute\n// GEX, a live 'spot' tracker marker, and the flip level marked. X is\n// hypothetical spot, so the pane ignores the chart's time axis entirely.\n//\n// The rows below are an illustrative options-desk snapshot; the script\n// exists to prove the surface until a real options-chain source lands.\n// Swap `data` for computed [spot, netGex, absGex] rows when it does.\n// ============================================================================\ndefine(\"Gamma Profile\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nplotCurve(\n data = [\n [52000, -3.1, 3.4],\n [56000, -2.4, 2.9],\n [60000, -1.2, 2.1],\n [64000, -0.2, 1.8],\n [65500, 0.4, 1.9],\n [68000, 1.3, 2.4],\n [72000, 2.6, 3.1],\n [76000, 3.8, 4.0]\n ],\n markers = [\n { x: \"spot\", label: \"Spot\" },\n { x: 64800, label: \"Gamma flip\", color: \"#f7525f\" }\n ],\n series = [\n { label: \"Net GEX ($B/1%)\", color: \"#43d3c3\", fill: true },\n { label: \"Abs GEX ($B/1%)\", color: \"#7a8cff\", fill: false }\n ],\n style = \"line\",\n gridHeight = 0.22\n)\n```\n\n### Full example: return distribution histogram\n\nThe accumulate-then-finalize idiom with `style = \"bars\"`: bucket single-bar returns into 1% bins as the bars replay, then plot the histogram once on the last bar, with the mean and +/-1 SD pinned as **computed** markers (marker `x` values are expressions, not just literals). On the 300-bar probe run this emitted all 21 bucket rows with the three computed markers in settings.\n\n```javascript title=\"corpus-return-distribution.ks\"\n//@version=3\n// Histogram of single-bar percentage returns in 1% buckets clamped to +/-10%,\n// rendered as a bars-style curve over the RETURN axis (not time). Reference\n// markers pin the mean and +/-1 standard deviation of the distribution.\ndefine(\"Return Distribution\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nstatic rets = []\nstatic prevBox = []\n\nif (isnum(d.close) && d.close > 0 && prevBox.length > 0 && isnum(prevBox[0]) && prevBox[0] > 0) {\n rets.push(d.close / prevBox[0] - 1)\n}\nif (prevBox.length == 0) {\n prevBox.push(d.close)\n} else {\n prevBox[0] = d.close\n}\n\nif (isLastBar && rets.length > 1) {\n var counts = []\n for (var i = 0; i \u003C 21; i = i + 1) {\n counts.push(0)\n }\n for (var i = 0; i \u003C rets.length; i = i + 1) {\n var b = math.floor(rets[i] * 100 + 0.5) + 10\n if (b \u003C 0) {\n b = 0\n }\n if (b > 20) {\n b = 20\n }\n counts[b] = counts[b] + 1\n }\n var rows = []\n for (var i = 0; i \u003C 21; i = i + 1) {\n rows.push([i - 10, counts[i]])\n }\n var mean = rets.avg()\n var sd = rets.stdev()\n plotCurve(\n data = rows,\n style = \"bars\",\n color = \"#5b8def\",\n series = [\n { label: \"Bars\" }\n ],\n markers = [\n { x: mean * 100, label: \"Mean\", color: \"#f5c518\" },\n { x: (mean - sd) * 100, label: \"-1 SD\", color: \"#8a8f98\" },\n { x: (mean + sd) * 100, label: \"+1 SD\", color: \"#8a8f98\" }\n ],\n gridHeight = 0.28\n )\n}\n```\n\n### Full example: volatility cone\n\nFour series over a horizon axis with `valueFormat = \"percent\"`: for each horizon, the max / median / min annualized volatility across every rolling window of that length in the loaded history, plus the current window. The script multiplies into percent units (`annFactor` carries the `* 100`) precisely because `\"percent\"` renders values as-is. On the 300-bar probe run, all seven horizon rows landed on the wire, each carrying `[h, max, median, min, current]`.\n\n```javascript title=\"corpus-volatility-cone.ks\"\n//@version=3\n// Realized-volatility cone: for each horizon (in bars), the max / median / min\n// annualized volatility across every rolling window of that length in the\n// loaded history, plus the CURRENT (most recent) window. X is the horizon\n// length, so the pane ignores the time axis entirely. Annualization assumes\n// daily bars (sqrt(365)); on intraday charts read the values as relative.\ndefine(\"Volatility Cone\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nstatic logRets = []\nstatic prevBox = []\n\nif (prevBox.length > 0 && isnum(prevBox[0]) && prevBox[0] > 0 && d.close > 0) {\n logRets.push(math.log(d.close / prevBox[0]))\n}\nif (prevBox.length == 0) {\n prevBox.push(d.close)\n} else {\n prevBox[0] = d.close\n}\n\nif (isLastBar && logRets.length >= 10) {\n var horizons = [5, 10, 20, 30, 60, 90, 120]\n var ps = [0]\n var ps2 = [0]\n for (var i = 0; i \u003C logRets.length; i = i + 1) {\n ps.push(ps[i] + logRets[i])\n ps2.push(ps2[i] + logRets[i] * logRets[i])\n }\n // Percent units (x100): valueFormat 'percent' renders values as-is with a\n // % suffix on both the Y axis and the hover card.\n var annFactor = math.sqrt(365) * 100\n var rows = []\n for (var hIdx = 0; hIdx \u003C horizons.length; hIdx = hIdx + 1) {\n var h = horizons[hIdx]\n if (h \u003C= logRets.length) {\n var vols = []\n for (var s = 0; s + h \u003C= logRets.length; s = s + 1) {\n var mean = (ps[s + h] - ps[s]) / h\n var v = (ps2[s + h] - ps2[s]) / h - mean * mean\n if (v \u003C 0) {\n v = 0\n }\n vols.push(math.sqrt(v) * annFactor)\n }\n rows.push([h, vols.max(), vols.median(), vols.min(), vols[vols.length - 1]])\n }\n }\n if (rows.length > 1) {\n plotCurve(\n data = rows,\n series = [\n { label: \"Max\", color: \"#e5534b\" },\n { label: \"Median\", color: \"#8a8f98\" },\n { label: \"Min\", color: \"#3fb27f\" },\n { label: \"Current\", color: \"#f5c518\" }\n ],\n valueFormat = \"percent\",\n gridHeight = 0.3\n )\n }\n}\n```\n\n\u003Ca id=\"plottiles\">\u003C/a>\n## plotTiles\n\nRenders a **KPI card dashboard**: up to 24 stat cards, each with a label, a live formatted value, an optional caption, and an accent color. The split that makes it tick: card **structure** (labels, captions, formats, accents) is static settings, while card **values** arrive as `[tileIndex, value]` data rows, so values refresh through the normal data path while the layout stays fixed.\n\n`plotTiles(tiles, data?, texts?, columns?, gridHeight?, hideLegendValues?)`\n\n| Parameter | Type | Description |\n| ------------------ | ---------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `tiles` | tile[] | Required, 1 to **24** cards; see the tile keys below. Empty and over-cap are named errors (table below). |\n| `data` | array | `[tileIndex, value]` rows, up to **24**. `tileIndex` is a 0-based index into `tiles`; `value` is a finite number. A tile no row targets renders as awaiting data; `data` itself is omittable. |\n| `texts` | object[] | `{ tile, text }` entries: computed display strings for `format: \"text\"` tiles (see below). |\n| `columns` | number | Column count, **1** to **8**. When omitted, no `columns` key is emitted and the pane packs cards by its width. |\n| `gridHeight` | number | Pane height as a fraction of the chart, 0.05 to 0.9. |\n| `hideLegendValues` | boolean | Foreign panes hide the legend value readout by default; pass `false` to keep it. Emitted only when you set it. |\n\nEach tile is an object with a **closed key set**; an unknown key is a named error listing the allowed ones (`label`, `caption`, `format`, `accent`, `text`).\n\n| Tile key | Type | Description |\n| --------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `label` | string | Required, up to **24** characters. Omitting it is a type error; 25 characters are rejected at save. |\n| `caption` | string | Optional small print under the value, up to **48** characters. |\n| `format` | string | Optional: `\"number\"` \\| `\"percent\"` \\| `\"currency\"` \\| `\"text\"`. A label-only tile is valid; an omitted `format` is simply absent from the emitted settings (no default is injected). |\n| `accent` | string | Optional: `\"auto\"` \\| `\"pos\"` \\| `\"neg\"` \\| `\"neutral\"`. `\"auto\"` colors by the value's sign; the other three force that accent. |\n| `text` | string | The static display string of a `format: \"text\"` tile, up to **32** characters. Required exactly when `format` is `\"text\"`, and only valid there. |\n\nBoth enums are closed: a wrong `format` or `accent` is a named error listing the valid choices, quoted in the table below. (`\"compact\"` exists elsewhere as a `plotCurve` value format and a `plotTable` summary format; it is **not** a tile format.) The numeric formats render as: `number` compact (`62.5K`), `percent` a fraction in and a signed percentage out (`0.047` displays as `+4.7%`), `currency` compact with a currency symbol (`$64.5K`).\n\n```javascript title=\"tiles-happy-minimal.ks\"\n//@version=3\n// Minimal plotTiles happy path: all four formats, accents, computed text via\n// the texts kwarg overriding the static fallback, columns + gridHeight +\n// hideLegendValues.\ndefine(\"Tiles Minimal Probe\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotTiles(\n tiles = [\n { label: \"Last\", format: \"currency\" },\n { label: \"Change\", caption: \"one bar\", format: \"percent\", accent: \"auto\" },\n { label: \"Count\", format: \"number\", accent: \"pos\" },\n { label: \"Regime\", format: \"text\", text: \"AWAITING\", accent: \"neutral\" }\n ],\n data = [\n [0, d.close],\n [1, d.close / d.open - 1],\n [2, barIndex]\n ],\n texts = [\n { tile: 3, text: d.close >= d.open ? \"UP BAR\" : \"DOWN BAR\" }\n ],\n columns = 2,\n gridHeight = 0.2,\n hideLegendValues = true\n )\n}\n```\n\nOn the wire, this emits one `tiles` output whose `settings` carry the four tile objects plus `columns`, `gridHeight`, and `hideLegendValues`, and whose `data` is `[[0, \u003Cclose>], [1, \u003Cchange>], [2, 299], [3, \"UP BAR\"]]`: the computed Regime string travels as a data row while `settings.tiles[3].text` keeps the static `\"AWAITING\"` fallback.\n\n### Values, `na`, and duplicates\n\n- Every `data` row must address a **distinct, in-range** tile: duplicates and out-of-range indices are named errors, and the range error names the actual range (`0..0` on a 1-tile dashboard).\n- **An `na` value drops the row before any validation runs.** `data = [[0, close], [0, na], [99, na]]` on a 2-tile dashboard runs clean: no duplicate error for the second index-0 row, no out-of-range error for index 99, and only `[0, close]` reaches the chart. The dropped tile renders as awaiting data. The same rule applies to a `texts` entry whose `text` is `na`.\n- The 24-row cap is counted **before** `na` rows are dropped: 25 rows are rejected at save even when 24 of them are `na`.\n- A numeric row must target a numeric tile: pointing one at a `format: \"text\"` tile is a named error.\n\n```javascript title=\"tiles-na-drop-before-validation.ks\"\n//@version=3\n// na drops a row BEFORE any validation, for both data rows and texts\n// entries: tile index 99 is far out of range for a 2-tile dashboard, and\n// [0, na] duplicates the finite [0, ...] row, yet the script runs clean\n// because the na value/text removes the row first (no index error, no\n// duplicate error).\ndefine(\"Tiles NA Drop Probe\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotTiles(\n tiles = [\n { label: \"Last\", format: \"currency\" },\n { label: \"Regime\", format: \"text\", text: \"AWAITING\" }\n ],\n data = [\n [0, d.close],\n [0, na],\n [99, na]\n ],\n texts = [\n { tile: 99, text: na }\n ],\n gridHeight = 0.15\n )\n}\n```\n\n### Computed text: the `texts` kwarg\n\nA `format: \"text\"` tile displays a string, not a number. Its static `text` is the **required fallback**; the `texts` kwarg sets the displayed string at run time:\n\n```\ntexts = [{ tile: 6, text: last >= meanWindow ? \"UP TREND\" : \"DOWN TREND\" }]\n```\n\nWhy a separate kwarg instead of a string row inside `data`? Because kScript array literals are homogeneous: `data = [[0, \"UP TREND\"]]` fails at save with `Mixed array types not supported at 13:13`, so the mixed `[tileIndex, string]` tuple cannot be authored statically. On the wire a computed text becomes exactly that mixed data row; `texts` is just the way to write one.\n\nThe rules:\n\n- The target must be a `format: \"text\"` tile, and the text tile still needs its static `text` even when a `texts` entry targets it (the static string is what shows until a run emits a computed one).\n- Computed text is capped at **32** characters.\n- A `texts` entry without a `text` key is a type error, not a silent drop; an entry whose `text` is `na` is dropped before index validation, exactly like an `na` data value, and the tile keeps its static fallback.\n- Two entries for the same tile are a duplicate. (A `data` row and a `texts` entry can never collide on one tile: numeric rows are rejected on text tiles, and `texts` is rejected on non-text tiles.)\n- `data` is fully omittable: a text-only dashboard driven entirely by `texts` runs fine (probe `tiles-no-data-kwarg.ks`).\n\nThe fallback behavior, demonstrated: this script's only `texts` entry always carries `na`, so no computed string is emitted and the Regime tile keeps showing `AWAITING`.\n\n```javascript title=\"tiles-texts-static-fallback.ks\"\n//@version=3\n// A format:'text' tile with a static text and NO texts emission: the tile\n// keeps its static fallback (\"AWAITING\"). The texts kwarg is present but its\n// only entry carries na text, which drops the entry (before index validation),\n// so no [tileIndex, string] wire row is emitted for tile 1.\ndefine(\"Tiles Static Fallback Probe\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nif (isLastBar) {\n plotTiles(\n tiles = [\n { label: \"Last\", format: \"currency\" },\n { label: \"Regime\", format: \"text\", text: \"AWAITING\", accent: \"neutral\" }\n ],\n data = [\n [0, d.close]\n ],\n texts = [\n { tile: 1, text: barIndex \u003C 0 ? \"NEVER\" : na }\n ],\n columns = 2,\n gridHeight = 0.15\n )\n}\n```\n\n### Validation: caps and exact errors\n\nSame enforcement style as `plotMatrix`: named errors quoting the offending value, with a `line:column` suffix pointing at your source, never silent truncation. Caps on literals you typed (tile count, label/caption length, `gridHeight`, the data row count, the mixed-tuple rejection) fail at **save**; value-dependent checks (`columns`, duplicates, index bounds, format cross-checks, everything about `texts`) surface when the script **runs**. The messages below are quoted from engine 3.0.67, each reproduced by a probe:\n\n| What was emitted | Stage | Exact error |\n| ----------------------------------- | ----- | ------------------------------------------------------------------------------------------------------- |\n| 25 tiles | save | `plotTiles.tiles must have at most 24 entries, got 25 at 9:13` |\n| 25 data rows (24 of them `na`) | save | `plotTiles.data must have at most 24 rows, got 25 at 11:12` |\n| A 25-character label | save | `plotTiles.tiles[0].label exceeds 24 characters (got 25: \"ABCDEFGHIJKLMNOP…\") at 9:23` |\n| A 49-character caption | save | `plotTiles.tiles[0].caption exceeds 48 characters (got 49: \"ABCDEFGHIJKLMNOP…\") at 9:40` |\n| `gridHeight = 0.95` | save | `plotTiles.gridHeight must be in 0.05..0.9, got 0.95 at 11:18` |\n| A string literal inside `data` | save | `Mixed array types not supported at 13:13` |\n| `tiles = []` | run | `plotTiles.tiles must not be empty at 8:3` |\n| `columns = 0` (`9` fails alike) | run | `plotTiles.columns must be an integer in 1..8, got 0 at 8:3` |\n| A tile without `label` | run | `Type mismatch for 'plotTiles.tiles[0].label': expected string, got undefined at 8:3` |\n| `color:` key on a tile | run | `Unknown key 'color' in plotTiles.tiles[0] (allowed: 'label', 'caption', 'format', 'accent', 'text') at 9:3` |\n| `format: \"compact\"` | run | `Invalid plotTiles.tiles[0].format 'compact'. Expected one of: 'number', 'percent', 'currency', 'text' at 9:3` |\n| `accent: \"sparkly\"` | run | `Invalid plotTiles.tiles[0].accent 'sparkly'. Expected one of: 'auto', 'pos', 'neg', 'neutral' at 9:3` |\n| A finite value at index 5, 1 tile | run | `plotTiles.data[0] tileIndex must be an integer in 0..0, got 5 at 9:3` |\n| Two data rows for tile 0 | run | `plotTiles.data has duplicate tileIndex 0 at 9:3` |\n| Two `texts` entries for tile 1 | run | `plotTiles.texts has duplicate tileIndex 1 at 11:3` |\n| A numeric row at a text tile | run | `plotTiles.data[0] targets text tile 0 (\"Regime\"): text tiles take a string value, not a number at 9:3` |\n| `texts` at a non-text tile | run | `plotTiles.texts[0] targets tile 0 (\"Last\") which is not format \"text\" at 9:3` |\n| A text tile without static `text` | run | `plotTiles.tiles[0].text is required when format is \"text\" at 10:3` |\n| Static `text` on a number tile | run | `plotTiles.tiles[0].text is only valid with format \"text\" at 8:3` |\n| A 33-character computed text | run | `plotTiles.texts[0].text exceeds 32 chars at 9:3` |\n| A `texts` entry with no `text` key | run | `plotTiles.texts[0].text must be a string at 9:3` |\n\n### Full example: market snapshot\n\nSeven live KPIs computed from the loaded history, including a computed Regime text tile. This is the runnable reference shipped with the engine (`corpus/builtins/MARKET_SNAPSHOT.ks`), verbatim:\n\n```javascript title=\"tiles-market-snapshot.ks\"\n//@version=3\n// Live KPI tiles computed from the loaded history: last close, one-bar change,\n// 30-bar annualized volatility, drawdown from the loaded-range high, position\n// inside the loaded range, the current run of consecutive up/down closes, and\n// a COMPUTED text regime tile (texts kwarg, wire v1.2). All values arrive as\n// data rows, so they refresh with the chart; tile structure is static\n// settings. Annualization assumes daily bars.\ndefine(\"Market Snapshot\", \"offchart\", true)\n\ntimeseries d = source(\"ohlcv\", currentSymbol, currentExchange)\n\nstatic closes = []\nstatic gapBox = []\nstatic logRets = []\nstatic prevBox = []\n\n// Gap-filled bars can carry na closes: keep the series valid-only and record\n// the boundary so streaks and the one-bar change never bridge a gap.\nif (isnum(d.close)) {\n closes.push(d.close)\n // Single-bar log returns accumulate at SOURCE time, so a return can never\n // span a gap (the compacted closes array cannot guarantee adjacency).\n // Rolling 30-entry buffer: exactly the vol window, bounded forever.\n if (prevBox.length > 0 && isnum(prevBox[0]) && prevBox[0] > 0 && d.close > 0) {\n if (logRets.length >= 30) {\n logRets.removeAt(0)\n }\n logRets.push(math.log(d.close / prevBox[0]))\n }\n if (prevBox.length == 0) {\n prevBox.push(d.close)\n } else {\n prevBox[0] = d.close\n }\n} else {\n if (prevBox.length > 0) {\n prevBox[0] = na\n }\n if (gapBox.length == 0) {\n gapBox.push(closes.length)\n } else {\n gapBox[0] = closes.length\n }\n}\n\nif (isLastBar && closes.length > 1) {\n var n = closes.length\n var last = closes[n - 1]\n var gapAt = gapBox.length > 0 ? gapBox[0] : -1\n // gapAt == n means the newest bar(s) carry na closes: the live edge has no\n // close yet, so there is no current one-bar change and no active streak.\n // Ratio rows also require strictly POSITIVE endpoints (shared corpus rule).\n var trailingGap = gapAt == n\n var change = trailingGap == false && gapAt != n - 1 && closes[n - 2] > 0 && last > 0 ? last / closes[n - 2] - 1 : na\n var hi = closes.max()\n var lo = closes.min()\n var annVol = logRets.length > 1 ? logRets.stdev() * math.sqrt(365) : na\n var trendWindow = n > 50 ? 50 : n\n var meanWindow = closes.slice(n - trendWindow, n).avg()\n var streak = 0\n var broken = trailingGap\n for (var i = n - 1; i > 0; i = i - 1) {\n if (broken == false) {\n if (i == gapAt) {\n // The pair (i, i-1) spans a data gap: the run ends here.\n broken = true\n } else {\n var delta = closes[i] - closes[i - 1]\n if (delta == 0) {\n // A flat close ends the run: it is neither an up nor a down bar.\n broken = true\n } else {\n var up = delta > 0\n if (streak == 0) {\n streak = up ? 1 : -1\n } else if ((streak > 0 && up) || (streak \u003C 0 && up == false)) {\n streak = streak > 0 ? streak + 1 : streak - 1\n } else {\n broken = true\n }\n }\n }\n }\n }\n plotTiles(\n tiles = [\n { label: \"Last\", format: \"currency\" },\n { label: \"1-Bar Change\", format: \"percent\", accent: \"auto\" },\n { label: \"Ann. Vol (30b)\", caption: \"log-return stdev, annualized\", format: \"percent\" },\n { label: \"Off High\", caption: \"from loaded-range high\", format: \"percent\", accent: \"auto\" },\n { label: \"Range Position\", caption: \"inside loaded range\", format: \"percent\" },\n { label: \"Bar Streak\", caption: \"consecutive up/down closes\", format: \"number\", accent: \"auto\" },\n { label: \"Regime\", caption: \"close vs 50-bar mean\", format: \"text\", text: \"AWAITING\", accent: \"neutral\" }\n ],\n data = [\n [0, last],\n [1, change],\n [2, annVol],\n [3, hi > 0 && last > 0 ? last / hi - 1 : na],\n [4, hi != lo ? 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