[{"data":1,"prerenderedAt":5136},["ShallowReactive",2],{"kscript:functions/volume-profile":3},{"slug":4,"filePath":5,"frontmatter":6,"rawMarkdown":9,"tree":10},"functions/volume-profile","functions/volume-profile.md",{"title":7,"description":8},"Volume Profile Functions","Accessor functions for the volume_profile source — extract buy/sell volume, delta, point of control, and price range from each bar's price-level ladder.","---\ntitle: Volume Profile Functions\ndescription: Accessor functions for the volume_profile source — extract buy/sell volume, delta, point of control, and price range from each bar's price-level ladder.\n---\n\nThe [`volume_profile`](../core-concepts/data-sources.md) source carries a variable number of price-level buckets per bar — each bucket is `[priceLow, priceHigh, buyVol, sellVol]`. Because the bucket count changes from bar to bar, the source has **no scalar properties**; you can't read `.buy` / `.sell` off it directly. Instead, use these accessor functions to pull scalar timeseries out of the profile.\n\n## Data structure\n\nEach bar of a `volume_profile` timeseries is a row shaped like:\n\n```\n[ timestamp, [priceLow, priceHigh, buyVol, sellVol], [priceLow, priceHigh, buyVol, sellVol], … ]\n```\n\n- Slot `0` is the bar **timestamp**.\n- Every later slot is one **price-level bucket**: `[priceLow, priceHigh, buyVol, sellVol]`.\n- The number of buckets **varies per bar** — it depends on the bar's price range and `ticksPerBar`.\n\nFor scalar values, prefer the `vp*` accessors below. To iterate the buckets yourself — e.g. to draw one marker or pie per price level with `plotBatches` — read the raw row directly: `vpa[0]` is the current bar's row, and `vpa[0][i + 1]` is the i-th bucket (slot `0` is the timestamp):\n\n```javascript title=\"Raw bucket access\" lines wrap\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\n\nfunc drawBucket(i) {\n var bucket = vpa[0][i + 1]; // [priceLow, priceHigh, buyVol, sellVol]\n var price = (bucket[0] + bucket[1]) / 2; // bucket midprice\n var buyVol = bucket[2];\n var sellVol = bucket[3];\n plotPie(value=[buyVol, sellVol], price=price, radius=8, colors=[\"#22c55e\", \"#ef4444\"], display=\"none\");\n}\nplotBatches(vpBucketCount(vpa), drawBucket);\n```\n## Accessor functions\n\nOpen the source first, then pass it to any accessor. Besides the required `symbol` and `exchange`, it accepts an optional `ticksPerBar` (default `1`) that merges every N price levels into one bucket — fewer, wider buckets, which lowers `vpBucketCount` — and an optional `currency` (`\"USD\"` or `\"Coin\"`, default `\"Coin\"`) that quotes each bucket's volume in USD (dollar notional) instead of coins (base-asset units), mirroring the Volume Footprint indicator's currency toggle:\n\n```javascript title=\"Opening a volume_profile source\" lines wrap\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\nvar totalBuy = vpBuy(vpa);\nvar totalSell = vpSell(vpa);\nvar poc = vpPoc(vpa);\n\n// Optional: coarsen the ladder (merge every 5 price levels into one bucket)\ntimeseries vpaCoarse = volume_profile(symbol=currentSymbol, exchange=currentExchange, ticksPerBar=5);\n\n// Optional: quote bucket volume in USD (dollar notional) instead of coins\ntimeseries vpaUsd = volume_profile(symbol=currentSymbol, exchange=currentExchange, currency=\"USD\");\n```\n| Function | Description |\n| --------------------------------- | -------------------------------------------------------- |\n| [`vpBuy`](#vpbuy) | Total buy volume across all price buckets at the bar |\n| [`vpSell`](#vpsell) | Total sell volume across all price buckets at the bar |\n| [`vpDelta`](#vpdelta) | Net buy/sell delta (`vpBuy − vpSell`) at the bar |\n| [`vpTotal`](#vptotal) | Combined buy + sell volume across all buckets at the bar |\n| [`vpPoc`](#vppoc) | Point of Control — price of the highest-volume bucket |\n| [`vpPocVolume`](#vppocvolume) | Combined volume at the POC bucket |\n| [`vpBucketCount`](#vpbucketcount) | Number of price-level buckets at the bar |\n| [`vpPriceHigh`](#vppricehigh) | Highest price covered by the profile at the bar |\n| [`vpPriceLow`](#vppricelow) | Lowest price covered by the profile at the bar |\n\n## vpBuy\n\n`vpBuy(source: TimeSeries): number` — total buy volume summed across all price-level buckets at the current bar.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — total buy volume at this bar.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries totalBuy = vpBuy(vpa);\nplotLine(value=totalBuy, colors=[\"#26a69a\"], width=2, label=[\"Total Buy\"], desc=[\"Sum of buy volume per bar\"]);\n```\n## vpSell\n\n`vpSell(source: TimeSeries): number` — total sell volume summed across all price-level buckets at the current bar.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — total sell volume at this bar.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries totalSell = vpSell(vpa);\nplotLine(value=totalSell, colors=[\"#ef5350\"], width=2, label=[\"Total Sell\"], desc=[\"Sum of sell volume per bar\"]);\n```\n## vpDelta\n\n`vpDelta(source: TimeSeries): number` — net buy/sell delta at the current bar (`vpBuy − vpSell`). Positive = buy dominant, negative = sell dominant.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — buy minus sell volume at this bar.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries delta = vpDelta(vpa);\nplotBar(value=delta, colors=[\"#26a69a\", \"#ef5350\"], label=[\"Delta\"], desc=[\"Net buy/sell pressure\"]);\n```\n## vpTotal\n\n`vpTotal(source: TimeSeries): number` — total volume (buy + sell) summed across all buckets at the current bar.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — combined buy + sell volume at this bar.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries total = vpTotal(vpa);\nplotLine(value=total, colors=[\"#9e9e9e\"], width=2, label=[\"Total\"], desc=[\"Combined volume\"]);\n```\n## vpPoc\n\n`vpPoc(source: TimeSeries): number` — Point of Control: the midprice of the bucket with the highest combined buy + sell volume at the current bar.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — POC price (`NaN` if no buckets at this bar).\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries poc = vpPoc(vpa);\nplotLine(value=poc, colors=[\"#ff9800\"], width=2, label=[\"POC\"], desc=[\"Point of Control\"]);\n```\n## vpPocVolume\n\n`vpPocVolume(source: TimeSeries): number` — combined buy + sell volume at the POC bucket (the bucket with the highest combined volume).\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — volume at the POC bucket.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries pocVol = vpPocVolume(vpa);\n```\n## vpBucketCount\n\n`vpBucketCount(source: TimeSeries): number` — number of price-level buckets present at the current bar.\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — count of price buckets at this bar.\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries depth = vpBucketCount(vpa);\n```\n## vpPriceHigh\n\n`vpPriceHigh(source: TimeSeries): number` — highest `priceHigh` across all buckets at the current bar (top of the volume-profile range).\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — highest price covered by the profile (`NaN` if empty).\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries top = vpPriceHigh(vpa);\n```\n## vpPriceLow\n\n`vpPriceLow(source: TimeSeries): number` — lowest `priceLow` across all buckets at the current bar (bottom of the volume-profile range).\n\n| Parameter | Type | Description |\n| --------- | ---------- | --------------------------- |\n| `source` | TimeSeries | A `volume_profile` timeseries |\n\n**Returns:** `number` — lowest price covered by the profile (`NaN` if empty).\n\n```javascript\ntimeseries vpa = volume_profile(symbol=currentSymbol, exchange=currentExchange);\ntimeseries bottom = vpPriceLow(vpa);\n```\n## Best Practices\n\n\u003Ctable data-view=\"cards\">\u003Ctbody>\n\u003Ctr>\u003Ctd>Always Use Accessors\u003C/td>\u003Ctd>The `volume_profile` source has no scalar properties — reading `.buy` / `.sell` directly will not work. Pull every value through the `vp*` accessors.\u003C/td>\u003Ctd>\u003C/td>\u003C/tr>\n\u003Ctr>\u003Ctd>Watch the POC\u003C/td>\u003Ctd>The Point of Control marks the price with the most traded volume and often acts as a magnet for price. Pair `vpPoc` with `vpPocVolume` to gauge how dominant that level is.\u003C/td>\u003Ctd>\u003C/td>\u003C/tr>\n\u003Ctr>\u003Ctd>Read Delta for Pressure\u003C/td>\u003Ctd>`vpDelta` summarizes net aggressor flow per bar. Sustained positive delta signals buy-side control; sustained negative delta signals sell-side control.\u003C/td>\u003Ctd>\u003C/td>\u003C/tr>\n\u003C/tbody>\u003C/table>\n",{"type":11,"children":12,"data":5129,"position":5131},"root",[13,148,150,168,169,202,203,222,223,409,410,521,522,909,910,925,926,1114,1115,1366,1368,1916,1917,1931,1932,1958,1960,2104,2105,2152,2153,2306,2307,2322,2323,2350,2351,2485,2486,2529,2530,2678,2679,2693,2694,2739,2740,2873,2874,2916,2917,3063,3064,3079,3080,3107,3108,3242,3243,3286,3287,3436,3437,3452,3453,3480,3481,3614,3615,3677,3678,3826,3827,3842,3843,3870,3871,4003,4004,4046,4047,4112,4113,4127,4128,4155,4156,4290,4291,4335,4336,4401,4402,4417,4418,4463,4464,4598,4599,4660,4661,4726,4727,4742,4743,4787,4788,4921,4922,4983,4984,5049,5050,5066,5067],{"type":14,"tagName":15,"properties":16,"children":17,"position":145},"element","p",{},[18,28,53,60,73,80,98,105,118,125,138],{"type":19,"value":20,"position":21},"text","The ",{"start":22,"end":25},{"line":23,"column":23,"offset":24},1,0,{"line":23,"column":26,"offset":27},5,4,{"type":14,"tagName":29,"properties":30,"children":32,"position":48},"a",{"href":31},"../core-concepts/data-sources.md",[33],{"type":14,"tagName":34,"properties":35,"children":36,"position":45},"code",{},[37],{"type":19,"value":38,"position":39},"volume_profile",{"start":40,"end":42},{"line":23,"column":41,"offset":26},6,{"line":23,"column":43,"offset":44},22,21,{"start":46,"end":47},{"line":23,"column":41,"offset":26},{"line":23,"column":43,"offset":44},{"start":49,"end":50},{"line":23,"column":26,"offset":27},{"line":23,"column":51,"offset":52},57,56,{"type":19,"value":54,"position":55}," source carries a variable number of price-level buckets per bar — each bucket is ",{"start":56,"end":57},{"line":23,"column":51,"offset":52},{"line":23,"column":58,"offset":59},139,138,{"type":14,"tagName":34,"properties":61,"children":62,"position":70},{},[63],{"type":19,"value":64,"position":65},"[priceLow, priceHigh, buyVol, sellVol]",{"start":66,"end":67},{"line":23,"column":58,"offset":59},{"line":23,"column":68,"offset":69},179,178,{"start":71,"end":72},{"line":23,"column":58,"offset":59},{"line":23,"column":68,"offset":69},{"type":19,"value":74,"position":75},". 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