Agent skill

Chart Indicator

by marketcalls in marketcalls/openalgo

Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts).

AGPL-3.0Auto-check: notesBusiness, Finance & HR

Install Chart Indicator

skills CLI
$ npx skills add marketcalls/openalgo --skill chart-indicator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install marketcalls/openalgo chart-indicator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/marketcalls/openalgo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/chart-indicator .claude/skills/chart-indicator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
chart-indicator
GitHub stars
2.8k
Token cost
~8.7k tokens
SKILL.md length
4,841 words
Files
22
Skills in repo
8
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts).

  • Works in 6 steps: Read the request. If it is a study from… → Before writing a formula, check… → Load the context you need.… → …
  • Asked to create
  • SKILL.md covers The one rule, Recent changes worth knowing, Workflow and Migrating a study, construct…, plus 6 more sections
  • Runs JavaScript scripts from its folder; calls node, npm and git

What it does

Chart Indicator is an agent skill from marketcalls/openalgo. Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts). Use when asked to create, port, or debug a chart indicator, overlay, oscillator, band, or on-chart signal, including porting a study written for another charting platform. Writes a plain-JS descriptor into strategies/indicators/, but only after it validates against the real library. This is the chart path, not the Python openalgo.ta path used from strategies and scanners.

Its SKILL.md is about 8.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files (for example `examples/complex_session_vwap.js`, `examples/dashboard_table.js` and `examples/displaced_cloud_zones.js`).

It sits in Business, Finance & HR, covering Trading and backtesting. It works with Python and npm. The repository describes itself as: Open Source Algo Trading Platform for Everyone. The licence is AGPL-3.0.

When your agent uses it

  • Asked to create
  • Debug a chart indicator
  • On-chart signal
  • Including porting a study written for another charting platform

Example prompts

  • “/chart-indicator”

Requirements

  • Python 3
  • Node.js
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read the request. If it is a study from another platform, read it fully
  2. Before writing a formula, check reference/cookbook.md. Every
  3. Load the context you need. reference/contract.md for the descriptor
  4. Pick the closest example in examples/ and work from it
  5. Draft to scratch. Validate. Iterate until it passes.
  6. Install, then tell the user to reopen the indicator picker on /trading.

What it can do on your machine

Read from SKILL.md and the folder at commit 6a6f201. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • npm
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm and git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chart Indicator loads about 8.7k tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 4,841 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~8.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from marketcalls/openalgo at commit 6a6f201, republished under its AGPL-3.0 licence (© marketcalls). 4,841 words, ~8,708 tokens.

Download SKILL.mdSave it as .claude/skills/chart-indicator/SKILL.md (or your agent's skills folder). This skill also uses 21 other files; get the full folder from GitHub.
name
chart-indicator
description
Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts). Use when asked to create, port, or debug a chart indicator, overlay, oscillator, band, or on-chart signal, including porting a study written for another charting platform. Writes a plain-JS descriptor into strategies/indicators/, but only after it validates against the real library. This is the chart path, not the Python openalgo.ta path used from strategies and scanners.
allowed-tools
Read, Write, Edit, Bash, Glob, Grep
argument-hint
[indicator name or a study to port]

Custom chart indicators for /trading

Build an indicator for the charting terminal. It becomes a picker entry with a generated settings dialog, a legend row and saved-layout persistence, with no build step and no restart.

This is the chart (JavaScript) path. It has nothing to do with the Python openalgo.ta indicators used from strategies, scanners and backtests: different language, different runtime, different API. If the request is for a Python indicator, this skill is the wrong one.

The one rule

Never write a file into strategies/indicators/ directly. That folder is imported by the live chart, and the runtime fails silently in the ways that matter most: a column that is one element short, or a plot key that does not match what calc returns, draws nothing at all and raises nothing anywhere.

Always: write to a scratch path, validate, install on a pass.

bash
# 1. draft to a scratch file (never the indicators folder)
#    e.g. <scratchpad>/my_indicator.js

# 2. validate against the real openalgo-charts build
node .claude/skills/chart-indicator/validate.mjs <scratch>/my_indicator.js

# 3. only on PASSED, install it
node .claude/skills/chart-indicator/validate.mjs <scratch>/my_indicator.js --install

--install copies into strategies/indicators/ only when there are zero errors, and exits 1 otherwise. If validation fails, fix the draft and re-run. Do not install a failing indicator, and do not weaken the validator to get a pass. Report warnings to the user rather than silently accepting them.

Never run npm install for this. The full frontend tree is 560 MB across 521 packages; the validator needs two ES modules totalling 368 KB. It finds them itself, in this order: frontend/node_modules/openalgo-charts if a React developer already has it, then its own .cache/, then it fetches just that one package at the version pinned in frontend/package.json. openalgo-charts has zero dependencies, so that is one small download, about a second, cached after.

If the fetch fails (no network, npm unavailable), say so and offer the choice: fix connectivity, or install without the pre-flight check and rely on the chart's own validation, which reports the same structural problems as toasts when the indicator loads. Do not silently skip validation.

Recent changes worth knowing

The descriptor contract has only gained optional fields since this skill was written, so an existing indicator keeps working on the pinned build. What changed, newest first:

  • 2.5.2 to 2.6.0: seven more built-ins, a timeframe on 29 of them, and a wider descriptor. Every existing descriptor keeps working, and all twelve examples below pass the validator on 2.6.0 unchanged. The index below grew from 387 names to 433 and lost none.

    2.6.0. zigzag, high-low-52-week, zlema, vidya, elder-ray, schaff-trend-cycle and volatility-squeeze take the registry to 112, so a custom file that already used one of those ids now overrides it (pitfall 13). Twenty-nine built-ins (most averages, the bands, supertrend, atr, rsi, macd, stochastic, cci, adx and others) gain an input { key: 'timeframe', type: 'interval', default: '' }: indicatorDefaults() of those now includes timeframe: '', their calc folds to a timeframe set there, and a descriptor that copies their inputs copies a row only their calc honours (pitfall 24). withTimeframe(descriptor) gives your own study the same input. Every built-in now rounds a fractional window length (14.5 reads as 15); the exported helpers still do not, so coerce before calling sma and friends (pitfall 6). An alert's when and message run once for each bar a pass appended, each seeing the bars and values through the bar it judges. On a reload, a study whose first pass throws IndicatorInputError comes back in its error status, while any other throw still stops the restore. /trading has the chart apply Heikin Ashi, Renko, range bars, line break, point and figure and Kagi itself, so on those chart types a study's calc receives the elements drawn with ctx.transformed set, unless the trader sets its Compute on row to Underlying bars, when it receives the time bars and its values are read onto the elements; its hooks still run on the elements, indexed by element (pitfall 20). chart.on is typed from ChartEventMap: an event of your own is declared into it with declare module 'openalgo-charts', and chart.emit is deprecated for 3.0.0.

    2.5.4 to 2.5.8. Optional fields, all usable here unless noted: an overlay: true or plot: key target on a draws() shape or a marker, which is how a study in its own pane puts a signal under the candle's low; font, size, emphasis and alignment on labels, box captions and marker text; curve: 'smooth' on a polyline; tooltip, spans and font fields on table cells, and a tables() hook for several named grids; gradient, gradientBy and colorBy on a fill; frequency on an alert (all 2.5.4). New helpers crossesAbove, crossesBelow, crosses, rising and falling read a missing value as no signal, which is pitfall 4 done for you. What the library has and /trading does not take is in pitfall 25: the input types symbol, session, multiline, price and timestamp (2.5.4), visibleWhen, activeWhen and inline on inputs, and background returned as a list of targeted columns (2.5.6). 2.5.8 gave sixteen built-ins a calcTail that a spread does not copy. 2.5.4 and 2.5.5 corrected several calculations around missing data, and HMA at odd lengths, so a study measured against a built-in re-derives its expectations.

    2.5.2, 2.5.3, 2.5.7, 2.5.9 and 2.5.10 changed nothing an indicator declares. From 2.5.10, text markers on neighbouring bars are laid out in lanes instead of overlapping, and roc and williams-vix-fix carry new display names, so match a built-in by id, never by name.

  • 2.5.1: a finished alert can stop drawing its line. Nothing an indicator declares changed and no export was added or removed: the index below counts the same 387 names it counted on 2.5.0.

    AlertControllerOptions.spentLines: 'hide' makes a triggered or expired alert keep everything except its line: the record, the scope, the checkpoints and the saved runtime all stay, which is what keeps a once-only alert from re-arming on the next reload. It is opt-in per controller, it is not written into an alert document, and the default is still 'show'.

    A host API, like hovered() and snapPrice() before it. An indicator never reads it and never declares anything about it.

  • 2.5.0: tables that fit their text. Nothing an indicator declares changed and no export was added or removed: the index below counts the same 387 names it counted on 2.4.8.

    The one thing worth knowing for a descriptor: ChartTableOptions.cellWidth accepts 'auto'. A column then measures itself from its widest cell, using the font actually drawn, so a per-cell font override or a bold heading is accounted for rather than guessed at. An empty automatic column keeps a 28 px minimum, and percentage widths keep their measured proportions. Every cell also clips its text now, so a long reading can no longer spill over the column beside it, which is what made a wide value in one row look like a value in the next.

    AlertController.hovered() and Chart.snapPrice(paneIndex, price) also arrived. Both are host APIs: an indicator never calls either.

  • 2.4.8: grab to pan, and a README rewritten. Nothing an indicator declares changed and no export was added or removed: the index below counts the same 387 names it counted on 2.4.7. Pressing and holding the plot now shows a grabbing hand and pans both axes, and mouse and pen panning stop the moment the pointer is released, while touch keeps its flick. The default covers both axes; a chart with a saved horizontal-only preference keeps it until somebody changes it in the chart navigation settings.

    The one thing worth knowing for a descriptor: a clickable legend action keeps its pointer cursor and stays usable across a repaint, which is the behaviour a hasSource braces button and a gear depend on. If a legend action of yours stopped responding after a redraw on an older build, that is what was fixed.

  • 2.4.7: an alert's line can be dragged. Nothing an indicator declares changed. A price or study-threshold alert line is draggable by the trader, and a study threshold drags on its own plot's scale rather than the instrument's, including an independent or left scale. Worth knowing for a descriptor whose plot owns a scale: the preview does not enlarge autoscale and never shows study units on the price axis. The on-chart badge for an armed alert reads "Alert"; the serialized lifecycle values are unchanged, so anything reading alert.state is unaffected.

  • 2.4.6: source access, marker anchoring and a legend that reads. Three optional descriptor fields, all of which an existing indicator can ignore. hasSource: true puts a braces button on the legend row beside the gear and emits indicatorSource with { instanceId, indicatorId, paneIndex }; the host owns the code and decides what the button opens, so set it only for a descriptor whose source a host can actually show. markerAnchor: 'price' measures a marker's aboveBar and belowBar against the instrument's candles rather than the descriptor's own first plot, which is what a buy or sell signal on an overlay means: below is below the low. The default stays 'plot', so a mark that belongs to a line keeps sitting on the line, and the field is ignored on a study that owns a pane. Legend readings now skip a plot drawn in a fully transparent colour, which matters if you declare an invisible column to anchor markers or fills to: it no longer reserves the width of a price in the row. Legend glyphs also scale with their button rather than the row's text, and ChartOptions.legendIconSize sets that button across the chart.

  • 2.4.5: optional open interest and host contracts. The published build has 105 built-ins, including open-interest, open-interest-change and open-interest-buildup. Bar.oi is an optional reading: preserve zero, keep missing readings as gaps, and never sum OI when folding bars. securitySeries exposes a nullable oi column. Capability comes from host instrument metadata, not from whether one bar has a reading. See reference/api.md for an example. Host trader alerts can target a study's stable instance id and plot key; keep those plot keys stable and distinguish these alerts from descriptor alerts. The host owns delivery and pauses trader evaluation during loading and replay. Instrument, ReplayGroup, exportChartDataCsv and trading capability helpers are host APIs, not a reason for a study to mutate the chart, control replay or submit orders. Workspace/template APIs live in openalgo-charts/workspace, outside the core-plus-indicators object handed to a custom module. Existing descriptor fields remain compatible. Calculate from the supplied bars so a replayed study cannot reveal later history.

  • 2.4.0: the constructs a ported study most often could not express. Every item is optional and needs openalgo-charts 2.4.0 or later installed; the validator checks against the installed build, so read node -p "require('./frontend/node_modules/openalgo-charts/package.json').version" before using any of them, and do not use them on an older pin. securitySeries(bars, interval, opts) folds the chart's bars to a higher timeframe, one value per bar, with the three readings named (as it stood at that bar, the default; offset: k for the last completed bucket; lookahead: true for final values, which repaints) and session: '0915-1530' to anchor sub-day buckets to the session open. It replaces every hand-rolled fold. plot.offset paints a column that many bars ahead, the tail landing in the right margin, with fills and the legend following. A calc that throws once installed is reported on the study's data status instead of thrown into the render loop; throw IndicatorInputError for a condition the user can fix. alerts[].message may be a function of the firing bar. Marker shapes cross and xcross, positions paneTop and paneBottom, pinned to the plot's edges. fills[].overlay for a band drawn on the price pane. plot.colorParts for a wick and border coloured apart from the body. tooltip and id on draws() labels and boxes. Inputs interval and time. table options fontSize: 'auto'. And ctx.requestBars on the attach context for another instrument's bars, which /trading serves from the terminal's own cached feed: the same broker session and the same bar cache the chart uses, so a benchmark costs no second transport and no credential reaches a chart setting. Omit exchange to mean the chart's own. It rejects on a host that registers no provider, and a study should publish that as unsupported rather than invent a value.

  • 2.3.0: charts can be arithmetic over several instruments. openalgo-charts/transform gains parseExpression and evaluateExpression, so /trading can chart NIFTY/RELIANCE, 2*CE25000 - CE25200 or any expression over any number of legs. These belong to the transform tier, not to the API object a custom indicator module receives, so nothing about writing an indicator changes. Worth knowing for one reason: a study added to a computed chart runs on the folded series, whose bars have no volume and whose high and low are a bound rather than a measurement unless the host asked for close-only. Volume studies read zero there, which is honest rather than broken.

  • 2.2.1: inputs can carry help text, and a plot can label its own axis. Every IndicatorInput variant now takes an optional tooltip, which the settings dialog renders as a small focusable ? beside the label. Put the explanation there rather than in a parenthetical that stretches the row. IndicatorPlot now takes an optional priceFormat, the same PriceFormat union addSeries uses, with a new percent variant: it suffixes the value and does not scale it, so a study returning 0..1 reads 0.62% and one returning 0..100 reads 62.24%. Multiplying inside calc to make the axis read better would change the legend, the crosshair and everything computed off the value. Like style.precision it belongs to a plot that owns its pane. Both fields are optional, so an existing descriptor is unaffected.

  • 2.2.0: hosts can offer 85 drawing tools. The draw tier adds channels, pitchforks, Fibonacci and Gann geometry, wavefronts and manual patterns. ADVANCED_LINE_TOOLS, ADVANCED_GEOMETRY_TOOLS and PATTERN_DRAWING_TOOLS belong to openalgo-charts/draw; they are not part of the custom indicator's API object. The indicator descriptor contract and its 102 built-ins are unchanged. Drawing documents retain version 2 and existing tool IDs.

  • 2.1.9: chart hosts gain built-in branding and an optional text watermark. ChartOptions.branding defaults to the OpenAlgo mark, while ChartOptions.watermark defaults off. Hosts can update them with setBranding and setWatermarkOptions, inspect them with brandingOptions and watermarkOptions, and follow branding changes through branding:changed. Blank watermark text follows the symbol and interval from setDataContext. The public types are LogoWatermarkOptions, ChartWatermarkOptions, and BrandingChangedEvent. These are host APIs and do not change or belong inside an indicator descriptor.

  • 2.1.8: navigation can ease automatic price ranges as it reveals new extrema. animAutoscale follows animZoom by default, while a manual scale and a descriptor's fixed range() remain authoritative. Normalized wheel and trackpad gestures and the packaged widget's responsive controls are host features; they do not change a descriptor. OpenAlgo /trading constructs a bare Chart, so it receives the engine gestures but keeps its own toolbar, rails and panels rather than receiving WidgetOptions.mobile controls.

  • 2.1.7: hidden indicators remain hidden through layout restoration and style edits. Reference levels now follow the instance's visibility along with its plots and other visuals. The new ChartObjects inventory also exposes an indicator's visibility and Tier-2 data status to host and widget object panels, but it does not change the descriptor contract or add work to a custom indicator.

  • 2.1.6: Tier-2 studies follow the chart's data context and loaded source range. createTier2Indicator receives dataContext with the host's symbol, exchange and interval, cancels obsolete fetches, extends history when older bars arrive and refreshes when the host changes instrument. A descriptor can use supports(ctx) to report that its provider cannot serve a context. The managed lifecycle publishes loading, ready, empty, unsupported and error states with an explicit retry action, so provider failure is visible without putting network state into calc. Existing Tier-2 descriptors get the range, cancellation and status behavior through the wrapper without changing shape.

  • 2.1.2: a Tier-2 study's data requests are keyed by data setting. Changing the symbol or any other data input clears the previous values immediately, and a response that arrives for the setting you just left cannot land on the new one. A style-only change reuses the history already in flight instead of refetching, and a live observation wins over a historical point for the same time. An attach that used to guard against its own stale responses no longer has to.

  • 1.8.9: precision is keyed on the pane, not the descriptor. An onchart plot prints at the instrument's tick; a plot on its own pane prints at that pane's span with a floor of two decimals. A study pane is no longer formatted in the instrument's tick, which is why an RSI reads 70.00 rather than 70.0. Custom descriptors get this with nothing to declare, and a precision input is still the wrong answer. See Do not, below.

  • 1.8.4: calc runs once per animation frame, not once per tick. A data update marks the indicators stale and the flush happens before the paint, so a burst of ticks collapses into one call. calc must therefore be a pure function of (bars, settings). It always had to be, but running per tick used to hide an indicator that counted its own calls or accumulated into store. Reading chart.indicators() or an instance's values() flushes first, so a read-after-update in the same turn still sees fresh numbers.

  • 1.8.4: calcTail is rarely worth it now. The tick-rate problem it existed to solve is gone. It only pays when one pass over the loaded history is itself slow, which means deep history, not a fast feed.

  • 1.8.3: the catalogue went from 91 to 102 built-ins, so a file written earlier can shadow an id that did not exist when it was named. The new ids are listed in reference/pitfalls.md under the collision entry. That release also corrected nine built-ins and moved ten defaults, so an indicator that compares itself against a built-in may need its expectations re-derived rather than assumed unchanged.

Show full SKILL.md (1,924 more words)Show less

Workflow

  1. Read the request. If it is a study from another platform, read it fully and identify: what is plotted, what is a signal, what state carries across bars, and what resets per day or per session.
  2. Before writing a formula, check reference/cookbook.md. Every author-facing call is demonstrated there, and the first section is the one that saves the most work: the 112 built-ins are descriptors, so getIndicator('macd').calc(bars, settings, {}) gives you MACD's own columns rather than a reimplementation that can drift from the chart's.
  3. Load the context you need. reference/contract.md for the descriptor shape and the runtime's exact behaviour, reference/api.md for what is available inside the module, reference/pitfalls.md for the traps. Read reference/pitfalls.md before writing anything; most first drafts fail on something in it.
  4. Pick the closest example in examples/ and work from it:
    • simple_zscore.js — one pane, one plot, rolling window, levels, range
    • ema_cross_signals.js (2.5.4) — crossesAbove, crossesBelow, crosses, rising and falling turning two averages into filtered Buy and Sell markers
    • intermediate_keltner_squeeze.js — several plots, fills, colorBy, a second price scale, a boolean that hides part of the drawing
    • shaded_trend_zone.js — shading between two series, where the ribbon flips sides and recolours with the trend
    • complex_session_vwap.js — per-session state, markers with a signal latch, table, calcTail, zone-aware day boundaries
    • regime_shading.js — background(), barColors(), declared alerts and a data-derived levels(ctx)
    • zones_with_draws.js — draws() with all four kinds, driven by pivotHigh / pivotLow. The pattern behind structure studies
    • heikin_ashi_candles.js — a plot fed by four columns via ohlc
    • session_range_modern.js — parseSessionSpec, inSessionAt and the calc context, replacing a hand-rolled session parser
    • tier2_external_data.js — createTier2Indicator and the manual attach lifecycle, for data the chart does not have
    • higher_timeframe_bands.js (2.4.0) — securitySeries with two of its three readings, a study in its own pane whose bands and fill carry overlay: true onto the candles, an interval input, a marker pinned to the pane edge, an alert message built from the firing bar, and IndicatorInputError for an input the user can fix
    • displaced_cloud_zones.js (2.4.0) — plot.offset for a cloud painted ahead of its data, colorParts for a wick coloured apart from its body, a draws() zone with a hover tooltip, a time input, and a table that sizes its own type. Read it for the difference between a plot, which cannot leave the bars, and a drawing, which never was on them
  5. Draft to scratch. Validate. Iterate until it passes.
  6. Install, then tell the user to reopen the indicator picker on /trading. No page reload is needed: the catalogue re-reads the folder every time the picker opens, and an edited file is re-imported because the URL carries the file's modification time. A reload is only needed for a chart that was already open before the app itself changed.

Migrating a study, construct by construct

Work through the source in this order. Each row is a mechanical translation; the judgement is in the last two.

In the sourceHere
overlay=true / falseplacement: 'onchart' / 'pane'
every input.*one inputs[] entry, matching type
every plot()a plot key plus that column from calc
plotshape / plotchar / plotarrowmarkers()
hlinelevels(ctx)
fill()fills, or background() if it shades the whole pane
bgcolor()background()
barcolor()barColors()
plotcandle / plotbara plot with ohlc: { open, high, low, close }
line.new / box.new / label.new / polyline.newdraws()
alertcondition()an alerts[] entry
var state across barsa variable outside the calc loop
x[1], x[n]arr[i - 1], arr[i - n]
nanull, and guard every comparison
barstate.*ctx.barState on the 4th calc argument
session stringsparseSessionSpec + inSessionAt
ta.*the exported helper of the same job, see reference/api.md
request.security(syminfo.tickerid, tf, ...)securitySeries(bars, tf, opts) (2.4.0), see below
plot(x, offset = n)plot.offset: n (2.4.0)
input.timeframe / input.timetype: 'interval' / type: 'time' (2.4.0)
runtime.error(msg)throw new IndicatorInputError(msg) (2.4.0)
alert(dynamic message)alerts[].message as a function of the bar (2.4.0)
plotshape(location.top / location.bottom)position: 'paneTop' / 'paneBottom' (2.4.0)
shape.cross / shape.xcrossshape: 'cross' / 'xcross' (2.4.0)
plotcandle(wickcolor = ...)plot.colorParts returning { body, wick, border } (2.4.0)
label.new(..., tooltip = ...)tooltip on a draws() label or box (2.4.0)
table.new(..., text_size = size.auto)table options fontSize: 'auto' (2.4.0)
indicator(precision = n)style.precision: n on the plot that owns the pane, never an input

Then the two that need thought:

A higher-timeframe request on the chart's own symbol. From 2.4.0 this is securitySeries(bars, interval, opts): one fold, three readings. The default reads the bucket as it stood at that bar and never uses a later one, which is what the live bar sees and what a non-repainting port wants. offset: 1 is the last completed bucket, the close[1] pattern. lookahead: true is the source's lookahead_on: it reads final values on every bar of the bucket and repaints, so use it only to reproduce a source that did. Pass session: '0915-1530' so a 30-minute bucket on a 09:15 open runs 09:15 to 09:45 rather than 09:00 to 09:30. On an older pin, fold by hand with bucketStartOf / zonedDayIndex, and say which reading you chose.

A request against another symbol. A screener over a pasted list of tickers is not a chart study and cannot be expressed: calc is flushed every frame, and forty requests belong to a scanner page. A single benchmark (a ratio, a beta, a spread) can be, from 2.4.0, through ctx.requestBars on the attach context or a Tier-2 descriptor's series and calc. /trading registers the provider, so this works here today; fetch in attach, stash in store, call requestRecompute(), and read it in calc. On a host that registers none the request rejects, which the study should publish as unsupported.

Anything drawn at a future bar. Two cases, and they differ. A draws() line, box or label anchored at a time past the last bar renders: the time scale extrapolates at the last bar spacing, so a right-margin tag, a projected zone or a bar_index + 3 label works today. A plot column cannot reach past the last bar, because a column is one value per bar; from 2.4.0 plot.offset: n paints it n bars ahead instead, which is what a displaced cloud or plot(x, offset = n) means. On an older pin, shift the meaning back onto existing bars, or drop it and record the gap.

Two layers of validation

validate.mjs is a pre-flight check, and it is the one that can refuse to install. The chart validates again at load time, in the browser, where the library already is: it checks the descriptor before it reaches the catalogue, and wraps calc so its first result is measured against the bars. Anything wrong surfaces as a toast naming the file.

That second layer is why a trader with no Node.js at all still gets told what is wrong instead of an indicator that quietly draws nothing.

What the file has to look like

Plain JavaScript. Nothing compiles it: no TypeScript, no JSX, no imports. The module default-exports one function and is handed the whole charting API.

js
export default function ({ registerIndicator, sourceValues, sma, nulls }) {
  registerIndicator({
    id: 'my-thing',        // unique slug; prefix your own to avoid overriding a built-in
    name: 'My Thing',      // picker and legend
    category: 'Custom',    // groups it in the picker rail
    placement: 'onchart',  // 'onchart' overlays price, 'pane' gets its own pane
    inputs: [ ... ],       // becomes the settings dialog
    plots: [ ... ],        // each key must appear in what calc returns
    calc(bars, settings, store) {
      return { /* one array per plot key, exactly bars.length long */ }
    },
  })
}

A bar is { time, open, high, low, close, volume } with time in UTC seconds.

What the library gives you

The descriptor is much wider than the plot-plus-calc it started as. Before hand-rolling anything, check whether one of these already covers it:

WantUse
A trendline, zone, box or free labeldraws(ctx)
Shade the pane by statebackground(ctx)
Repaint the price candlesbarColors(ctx)
A horizontal level from the datalevels(ctx), which receives bars and values
A condition the chart watchesalerts[] with a when(ctx) predicate
One plot on price from a pane studyplot.overlay: true
Candles or bars as a plotplot.ohlc: { open, high, low, close }
Know the bar state, symbol, interval, clockthe 4th calc argument
The instrument's tick sizectx.tickSize, never an input for it
The decimals your plots print atNothing: it follows the pane, see below
Parse a session windowparseSessionSpec, inSessionAt, sessionFlags
Reason about the timeframeintervalParts, isIntradayInterval, ...
A colour ramp or alphafromGradient, withAlpha
Pivots, rank, correlation, linregpivotHigh, pivotLow, percentRank, correlation, linreg, ...
A higher timeframe of the chart's own barssecuritySeries(bars, interval, opts) (2.4.0), never a hand-rolled fold
A plot painted N bars aheadplot.offset (2.4.0)
Another instrument's barsctx.requestBars on the attach context (2.4.0), once the host registers a provider
A table positioned, sized or coloured per celltable() options (position, cellWidth, widthPercent, fontSize) and TableCell bgColor / textColor
A dotted reference linelevels() entries take lineStyle: 'dotted'
Any built-in's mathsgetIndicator(id).calc(bars, settings, {}), never a reimplementation

Full list in reference/api.md, which is generated from the installed build.

The four things that go wrong most

Full list in reference/pitfalls.md. These four account for most failures:

  1. Column length. Every array must be exactly bars.length. Short arrays do not error, they just stop drawing partway.
  2. Warmup. Use null (or nulls(...) on a helper's NaN output). A 0 puts a spike at the bottom of the pane and wrecks autoscale.
  3. na semantics. Script languages with a not-available value treat every comparison against it as false. In JavaScript 5 > null is true. Guard with x != null or signals fire through the warmup gap.
  4. Marker anchoring. aboveBar / belowBar anchor to this indicator's own plot line, not to the candle. To place a label relative to a bar, use position: 'atPrice' with an explicit price.

Do not

  • Add colour or line-width inputs for plots. The chart generates colour, opacity, thickness, line style and plot style per plot automatically, seeded from each plot's style. Your own width input becomes a second control that disagrees. That rule is about plots only: a colour that markers(), draws() or background() reads has no generated control, so a type: 'color' input for it is right (the source's input.color for a marker maps to exactly that), and a fills band takes its colours through colorUpKey / colorDownKey.
  • Reuse a built-in id unless overriding it is the actual intent. Custom modules register last, so they win. The validator warns on this.
  • Add a precision or decimals input. Precision follows the pane, not the descriptor, so there is nothing to declare and an override would only let a plot disagree with the axis it is drawn against. An onchart plot is a price and prints at the instrument's tick (Supertrend on a 0.05 tick reads 1339.70); a plot on its own pane prints at that pane's own span with a floor of two decimals (an RSI reads 70.00, a percentage study 0.61). A study pane is not quoted in the instrument's tick, because an RSI is a dimensionless 0..100 band. If a plot of yours really is a price, put it on the candles with overlay: true rather than reaching for a precision knob. A source's indicator(precision = n) is a declared style.precision: n on the plot that owns the pane, which is a style the chart honours, not an input the user can turn.
  • Add an input for the tick size. ctx.tickSize carries it, and an input is a second source of truth that disagrees with the axis. Point value is the exception: the chart does not know it, so that one is an input at 1.
  • Assume the browser's local time. Use zonedDayIndex / utcSecondsToZonedParts with a zone, defaulting to DEFAULT_TIMEZONE.

Where things live

Path
strategies/indicators/*.jsinstalled indicators, gitignored, never pushed
.claude/skills/chart-indicator/validate.mjsthe gate
.claude/skills/chart-indicator/examples/twelve validated worked examples
.claude/skills/chart-indicator/reference/contract, API surface, pitfalls, cookbook
.claude/skills/chart-indicator/coverage.mjsfails if an API or capability is documented but never demonstrated
.claude/skills/chart-indicator/generate-api-index.mjsregenerates the export index in reference/api.md; --check fails when it is stale
docs/custom-indicators.mdthe user-facing guide
blueprints/custom_indicators.pyserves the folder to the chart
frontend/src/lib/trading/customIndicators.tsthe loader

Indicators are loaded over HTTP at runtime, not bundled, so they survive git pull and need no rebuild. They run with full access to the logged-in session: treat an indicator file from an untrusted source as you would any script you are about to run.

© marketcalls, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 21 other files in .claude/skills/chart-indicator of marketcalls/openalgo.

  • SKILL.md
  • .gitignore
  • coverage.mjs
  • examples/complex_session_vwap.js
  • examples/dashboard_table.js
  • examples/displaced_cloud_zones.js
  • examples/ema_cross_signals.js
  • examples/heikin_ashi_candles.js
  • examples/higher_timeframe_bands.js
  • examples/intermediate_keltner_squeeze.js
  • examples/regime_shading.js
  • examples/session_range_modern.js
  • examples/shaded_trend_zone.js
  • examples/simple_zscore.js
  • examples/tier2_external_data.js
  • examples/zones_with_draws.js
  • generate-api-index.mjs
  • reference/api.md
  • reference/contract.md
  • … and 3 more

Open the folder on GitHubat commit 6a6f201

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Okx Cex Marketdex-original/okx-agent-trade-kit1091 repos~2.7kAutomated safety check: PassMIT
Kalshi Traderyanfrigo/kalshi-ai-trading-bot612—~3.4kAutomated safety check: PassMIT
Polymarket Tennislivetennisapi/livetennisapi-mcp152—~3kAutomated safety check: PassMIT
Okx Cex Smartmoneydex-original/okx-agent-trade-kit1091 repos~1.4kAutomated safety check: PassMIT

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Works with

Questions about Chart Indicator

What does Chart Indicator do?

Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts). Chart Indicator is an agent skill from marketcalls/openalgo. Build a custom indicator for the OpenAlgo /trading charting terminal (openalgo-charts).

When should I use Chart Indicator?

Chart Indicator fits situations like: asked to create; debug a chart indicator; on-chart signal; including porting a study written for another charting platform.

How do I install Chart Indicator in Claude Code?

Run `npx skills add marketcalls/openalgo --skill chart-indicator -a claude-code`. Or copy the skill folder (.claude/skills/chart-indicator in marketcalls/openalgo) into .claude/skills/chart-indicator in your project. Claude Code loads it when a task matches its description.

How do I install Chart Indicator in Codex?

Run `npx skills add marketcalls/openalgo --skill chart-indicator -a codex`. Or copy the skill folder (.claude/skills/chart-indicator in marketcalls/openalgo) into .agents/skills/chart-indicator in your project. Codex loads it when a task matches its description.

Can I use Chart Indicator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marketcalls/openalgo --skill chart-indicator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chart-indicator, .gemini/skills/chart-indicator, .github/skills/chart-indicator and .opencode/skills/chart-indicator in your project.

What does Chart Indicator need to run?

Going by SKILL.md and its folder, Chart Indicator needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node, npm and git). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep.

Does Chart Indicator access the network?

SKILL.md contains no URLs. Its commands use npm and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Chart Indicator safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Chart Indicator use?

Chart Indicator is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chart Indicator use?

About 8.7k tokens (SKILL.md is roughly 35k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Chart Indicator?

Skills that share tags, products or a category with Chart Indicator: Tushare Data (zillionare/zillionare, 319 stars), Okx Cex Market (dex-original/okx-agent-trade-kit, 109 stars), Kalshi Trade (ryanfrigo/kalshi-ai-trading-bot, 612 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chart Indicator?

marketcalls (a GitHub user) maintains it in marketcalls/openalgo, which has 2,797 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 8, 2026.

Source: marketcalls/openalgo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.