[{"data":1,"prerenderedAt":3776},["ShallowReactive",2],{"wrun-open-editor-url":3,"indicators:core-concepts/named-streams":4},"https://openmarket.xyz/chart/#wrun-open=v1",{"slug":5,"filePath":6,"frontmatter":7,"rawMarkdown":12,"tree":13},"core-concepts/named-streams","core-concepts/named-streams.md",{"title":8,"description":9,"order":10,"section":11},"Named streams","Multi-output indicators like Bollinger bands, MACD, and the stochastic produce several lines at once. In a wrun indicator each stream is an output of its own…",7,"core-concepts","---\ntitle: \"Named streams\"\ndescription: \"Multi-output indicators like Bollinger bands, MACD, and the stochastic produce several lines at once. In a wrun indicator each stream is an output of its own…\"\norder: 7\nsection: \"core-concepts\"\n---\n\n\u003C!-- source: docs/indicators/core-concepts/named-streams.md; generated by packages/cli/scripts/gen-indicator-docs.ts, do not edit -->\n\n# Named streams\n\nMulti-output indicators like Bollinger bands, MACD, and the stochastic\nproduce several lines at once. In a wrun indicator each stream is an\n`output` of its own, and the computation behind them is a class whose\nfields you read by name after one `update()`: `bands.upper`,\n`macd.signal`, `stoch.k`. No positional guessing: every stream is read by\nname.\n\n## Introduction\n\nSome indicators produce more than one line. Bollinger bands give you an\nupper band, a basis, and a lower band. MACD gives a MACD line, a signal\nline, and a histogram. A wrun indicator declares one output per line, and a\nclass computes all of them from one input per bar:\n\n```text\noutput(\"bb_upper\", line, overlay, { color: \"#2563eb\" });\noutput(\"bb_basis\", line, overlay, { color: \"#64748b\" });\noutput(\"bb_lower\", line, overlay, { color: \"#2563eb\" });\n\nconst bands = new Bb(20, 2.0);          // in onBar(): bands.update(close)\nout_bb_upper(bands.upper);              // then read the fields by name\nout_bb_basis(bands.basis);\nout_bb_lower(bands.lower);\n```\n\n`bands.update(close)` folds one bar; `bands.upper`, `bands.basis`, and\n`bands.lower` are its three lines afterwards. You name what you want. There\nis no \"is the upper band index 0 or index 2?\" guesswork, and a typo like\n`bands.upperr` is a compile error rather than a silently wrong line.\n\n## How it works\n\n![Named streams: one Bb object, updated once per bar, holds three fields; the file writes each to an output of its own, and the chart draws three lines: upper, basis and lower](/wrun/images/diagrams/named-streams.svg)\n\nA multi-output computation is a class with one `update(x)` method and one\ntyped field per stream. `update` returns the primary stream (the MACD line,\nthe basis) so the class also reads like a single-output one, and the other\nstreams sit on the instance. Each field is an ordinary `f64`, so it flows\nstraight into math, other classes, conditions, and outputs:\n\n```text\nconst m = new Macd(12, 26, 9);\nm.update(close);\n\nconst risingMomentum = m.hist > prevHist;         // compare bars (prevHist is remembered)\nconst smoothSignal = signalEma.update(m.signal);  // feed a stream into another class\n```\n\nThe kit ships every class, single-stream and multi-stream alike, and a\nfile uses them by name with nothing to import. Two rules keep a module\nhonest: construct in `onStart()` (allocation once), and `update()` once\nper bar.\n\n## The named streams\n\nThe multi-stream classes, and the fields each one carries:\n\n| Class | Fields |\n| --- | --- |\n| `Bb` | `.basis`, `.upper`, `.lower` |\n| `Keltner` | `.basis`, `.upper`, `.lower` |\n| `Donchian` | `.basis`, `.upper`, `.lower` |\n| `Macd` | `.macd`, `.signal`, `.hist` |\n| `Stoch`, `Stochastic` | `.k`, `.d` |\n| `Supertrend` | `.line`, `.direction` |\n| `Adx` | `.adx`, `.plusDi`, `.minusDi` |\n| `Ichimoku` | `.tenkan`, `.kijun`, `.senkouA`, `.senkouB`, `.chikou` |\n\nEvery class and its conventions: [TA library](../functions/ta-library.md).\n\nA few worth calling out:\n\n- **`Stoch`** splits into the fast `%K` (`.k`) and its smoothed `%D`\n  (`.d`). The classic crossover is `Cross.update(stoch.k, stoch.d)`.\n- **`Supertrend`** carries the trailing stop level as `.line` and the trend\n  side as `.direction` (`1` or `-1`). Use `.direction` as a `color_by`\n  index or a gate; draw `.line`.\n- **`Macd.hist`** is the MACD line minus the signal line, ready for a\n  `histogram` output.\n\n## Reading every stream at once\n\nTwo shipped classes and all six of their streams as outputs. `Macd` is\nthe fast, slow and signal EMAs folded into one object; `Bb` is the window\nmean and its population standard deviation. Every stream is an output of\nits own, so once you publish the indicator an alert set from the chart can\nfollow any of them ([Alerts](../functions/alerts.md)).\n\n```typescript sample=cc-streams-macd-bb\nparam(\"fast\", 12, { min: 1, max: 200, description: \"MACD fast EMA\" });\nparam(\"slow\", 26, { min: 2, max: 400, description: \"MACD slow EMA\" });\nparam(\"signal\", 9, { min: 1, max: 200, description: \"MACD signal EMA\" });\nparam(\"bb_period\", 20, { min: 2, max: 400, description: \"Bollinger window\" });\nparam(\"bb_mult\", 2, { min: 0.5, max: 4, description: \"Bollinger width in standard deviations\" });\noutput(\"bb_upper\", line, overlay, { color: \"#2563eb\", width: 2, description: \"Upper Bollinger band\" });\noutput(\"bb_basis\", line, overlay, { color: \"#64748b\", width: 2, description: \"Bollinger basis (the moving average)\" });\noutput(\"bb_lower\", line, overlay, { color: \"#dc2626\", width: 2, description: \"Lower Bollinger band\" });\noutput(\"macd\", line, lower, { color: \"#1d4ed8\", width: 2, description: \"MACD line\" });\noutput(\"signal\", line, lower, { color: \"#ea580c\", width: 2, description: \"Signal line\" });\noutput(\"hist\", histogram, lower, { color: \"#15803d\", description: \"MACD minus signal\" });\n\n// One update() per bar; the streams are fields you read by name afterwards.\nlet macd = new Macd(12, 26, 9);\nlet bands = new Bb(20, 2.0);\n\nfunction onStart(): void {\n  macd = new Macd(i32(p_fast()), i32(p_slow()), i32(p_signal()));\n  bands = new Bb(i32(p_bb_period()), p_bb_mult());\n}\n\nfunction onBar(): void {\n  const close = bar.close();\n  macd.update(close);\n  bands.update(close);\n  // Nothing is written until the slowest stream is warm: the MACD signal line.\n  if (isNaN(macd.signal) || isNaN(bands.basis)) return;\n  out_bb_upper(bands.upper);\n  out_bb_basis(bands.basis);\n  out_bb_lower(bands.lower);\n  out_macd(macd.macd);\n  out_signal(macd.signal);\n  out_hist(macd.hist);\n}\n```\n\n**What to expect:** the three bands start drawing once the 20-bar window\nfills and track together. The MACD streams warm later: the MACD line needs\nthe slow EMA (26 bars), the signal line nine MACD values beyond that, so\nnothing is drawn until the 34th bar and all six lines then start in\nlockstep.\nBars where one stream is finite and another is not are handled in the\nclasses (`NaN` stays `NaN`), never in `onBar()`.\n\n## A composite class as one value\n\nThe class instance is one value: pass `macd` to a helper that\ntakes a `Macd`, keep an array of them for several settings, or read a\nsingle field inline. What you cannot do is index a stream's history\n(`m.hist[1]`): remember the previous value in a module-level variable,\nexactly as for any other number (`core-variables.md`).\n\nSingle-output classes like `Rsi`, `Ema`, and `Sma` return their one value\nfrom `update()` and have no stream fields, so you write them straight to an\noutput: `out_rsi(rsi.update(close))`. Named streams are only for the\nmulti-line indicators above. The full catalog is the\n[TA library](../functions/ta-library.md).\n",{"type":14,"children":15,"data":3769,"position":3771},"root",[16,26,29,30,148,149,166,167,182,183,270,271,375,376,390,391,988,989,1064,1065,1117,1118,1169,1170,1186,1187,1200,1202,1846,1847,1885,1886,1899,1900,2246,2247,2262,2263,2334,2335,3458,3459,3540,3541,3556,3557,3645,3646],{"type":17,"value":18,"position":19},"comment"," source: docs/indicators/core-concepts/named-streams.md; generated by packages/cli/scripts/gen-indicator-docs.ts, do not edit ",{"start":20,"end":23},{"line":21,"column":21,"offset":22},1,0,{"line":21,"column":24,"offset":25},134,133,{"type":27,"value":28},"text","\n",{"type":27,"value":28},{"type":31,"tagName":32,"properties":33,"children":34,"position":145},"element","p",{},[35,43,57,65,78,85,98,104,117,124,137],{"type":27,"value":36,"position":37},"Multi-output indicators like Bollinger bands, MACD, and the stochastic\nproduce several lines at once. In a wrun indicator each stream is an\n",{"start":38,"end":41},{"line":39,"column":21,"offset":40},5,152,{"line":10,"column":21,"offset":42},292,{"type":31,"tagName":44,"properties":45,"children":46,"position":54},"code",{},[47],{"type":27,"value":48,"position":49},"output",{"start":50,"end":51},{"line":10,"column":21,"offset":42},{"line":10,"column":52,"offset":53},9,300,{"start":55,"end":56},{"line":10,"column":21,"offset":42},{"line":10,"column":52,"offset":53},{"type":27,"value":58,"position":59}," of its own, and the computation behind them is a class whose\nfields you read by name after one ",{"start":60,"end":61},{"line":10,"column":52,"offset":53},{"line":62,"column":63,"offset":64},8,35,396,{"type":31,"tagName":44,"properties":66,"children":67,"position":75},{},[68],{"type":27,"value":69,"position":70},"update()",{"start":71,"end":72},{"line":62,"column":63,"offset":64},{"line":62,"column":73,"offset":74},45,406,{"start":76,"end":77},{"line":62,"column":63,"offset":64},{"line":62,"column":73,"offset":74},{"type":27,"value":79,"position":80},": ",{"start":81,"end":82},{"line":62,"column":73,"offset":74},{"line":62,"column":83,"offset":84},47,408,{"type":31,"tagName":44,"properties":86,"children":87,"position":95},{},[88],{"type":27,"value":89,"position":90},"bands.upper",{"start":91,"end":92},{"line":62,"column":83,"offset":84},{"line":62,"column":93,"offset":94},60,421,{"start":96,"end":97},{"line":62,"column":83,"offset":84},{"line":62,"column":93,"offset":94},{"type":27,"value":99,"position":100},",\n",{"start":101,"end":102},{"line":62,"column":93,"offset":94},{"line":52,"column":21,"offset":103},423,{"type":31,"tagName":44,"properties":105,"children":106,"position":114},{},[107],{"type":27,"value":108,"position":109},"macd.signal",{"start":110,"end":111},{"line":52,"column":21,"offset":103},{"line":52,"column":112,"offset":113},14,436,{"start":115,"end":116},{"line":52,"column":21,"offset":103},{"line":52,"column":112,"offset":113},{"type":27,"value":118,"position":119},", ",{"start":120,"end":121},{"line":52,"column":112,"offset":113},{"line":52,"column":122,"offset":123},16,438,{"type":31,"tagName":44,"properties":125,"children":126,"position":134},{},[127],{"type":27,"value":128,"position":129},"stoch.k",{"start":130,"end":131},{"line":52,"column":122,"offset":123},{"line":52,"column":132,"offset":133},25,447,{"start":135,"end":136},{"line":52,"column":122,"offset":123},{"line":52,"column":132,"offset":133},{"type":27,"value":138,"position":139},". 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A wrun indicator declares one output per line, and a\nclass computes all of them from one input per bar:",{"start":173,"end":175},{"line":112,"column":21,"offset":174},521,{"line":176,"column":177,"offset":178},17,51,791,{"start":180,"end":181},{"line":112,"column":21,"offset":174},{"line":176,"column":177,"offset":178},{"type":27,"value":28},{"type":14,"children":184},[185],{"type":31,"tagName":186,"properties":187,"children":191,"data":-1},"pre",{"class":188,"style":189,"tabindex":190},"shiki shiki-themes github-dark github-light","--shiki-dark:#e1e4e8;--shiki-light:#24292e;--shiki-dark-bg:#24292e;--shiki-light-bg:#fff","0",[192],{"type":31,"tagName":44,"properties":193,"children":196},{"class":194},[195],"language-text",[197,207,208,216,217,225,226,234,235,243,244,252,253,261,262],{"type":31,"tagName":198,"properties":199,"children":201},"span",{"class":200},"line",[202],{"type":31,"tagName":198,"properties":203,"children":204},{},[205],{"type":27,"value":206},"output(\"bb_upper\", line, overlay, { color: \"#2563eb\" });",{"type":27,"value":28},{"type":31,"tagName":198,"properties":209,"children":210},{"class":200},[211],{"type":31,"tagName":198,"properties":212,"children":213},{},[214],{"type":27,"value":215},"output(\"bb_basis\", line, overlay, { color: \"#64748b\" });",{"type":27,"value":28},{"type":31,"tagName":198,"properties":218,"children":219},{"class":200},[220],{"type":31,"tagName":198,"properties":221,"children":222},{},[223],{"type":27,"value":224},"output(\"bb_lower\", line, overlay, { color: \"#2563eb\" });",{"type":27,"value":28},{"type":31,"tagName":198,"properties":227,"children":228},{"class":200},[229],{"type":31,"tagName":198,"properties":230,"children":231},{},[232],{"type":27,"value":233},"",{"type":27,"value":28},{"type":31,"tagName":198,"properties":236,"children":237},{"class":200},[238],{"type":31,"tagName":198,"properties":239,"children":240},{},[241],{"type":27,"value":242},"const bands = new Bb(20, 2.0);          // in onBar(): bands.update(close)",{"type":27,"value":28},{"type":31,"tagName":198,"properties":245,"children":246},{"class":200},[247],{"type":31,"tagName":198,"properties":248,"children":249},{},[250],{"type":27,"value":251},"out_bb_upper(bands.upper);              // then read the fields by name",{"type":27,"value":28},{"type":31,"tagName":198,"properties":254,"children":255},{"class":200},[256],{"type":31,"tagName":198,"properties":257,"children":258},{},[259],{"type":27,"value":260},"out_bb_basis(bands.basis);",{"type":27,"value":28},{"type":31,"tagName":198,"properties":263,"children":264},{"class":200},[265],{"type":31,"tagName":198,"properties":266,"children":267},{},[268],{"type":27,"value":269},"out_bb_lower(bands.lower);",{"type":27,"value":28},{"type":31,"tagName":32,"properties":272,"children":273,"position":372},{},[274,289,296,307,313,326,333,345,352,365],{"type":31,"tagName":44,"properties":275,"children":276,"position":286},{},[277],{"type":27,"value":278,"position":279},"bands.update(close)",{"start":280,"end":283},{"line":281,"column":21,"offset":282},30,1179,{"line":281,"column":284,"offset":285},22,1200,{"start":287,"end":288},{"line":281,"column":21,"offset":282},{"line":281,"column":284,"offset":285},{"type":27,"value":290,"position":291}," folds one bar; ",{"start":292,"end":293},{"line":281,"column":284,"offset":285},{"line":281,"column":294,"offset":295},38,1216,{"type":31,"tagName":44,"properties":297,"children":298,"position":304},{},[299],{"type":27,"value":89,"position":300},{"start":301,"end":302},{"line":281,"column":294,"offset":295},{"line":281,"column":177,"offset":303},1229,{"start":305,"end":306},{"line":281,"column":294,"offset":295},{"line":281,"column":177,"offset":303},{"type":27,"value":118,"position":308},{"start":309,"end":310},{"line":281,"column":177,"offset":303},{"line":281,"column":311,"offset":312},53,1231,{"type":31,"tagName":44,"properties":314,"children":315,"position":323},{},[316],{"type":27,"value":317,"position":318},"bands.basis",{"start":319,"end":320},{"line":281,"column":311,"offset":312},{"line":281,"column":321,"offset":322},66,1244,{"start":324,"end":325},{"line":281,"column":311,"offset":312},{"line":281,"column":321,"offset":322},{"type":27,"value":327,"position":328},", and\n",{"start":329,"end":330},{"line":281,"column":321,"offset":322},{"line":331,"column":21,"offset":332},31,1250,{"type":31,"tagName":44,"properties":334,"children":335,"position":342},{},[336],{"type":27,"value":337,"position":338},"bands.lower",{"start":339,"end":340},{"line":331,"column":21,"offset":332},{"line":331,"column":112,"offset":341},1263,{"start":343,"end":344},{"line":331,"column":21,"offset":332},{"line":331,"column":112,"offset":341},{"type":27,"value":346,"position":347}," are its three lines afterwards. 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