An OHLC API that returns
clean bars, not guesswork.

What an OHLC bar contains in this API

Every bar carries open, high, low, close and volume as decimal strings, so nothing is rounded on the way to you. Alongside them come the exchange-qualified symbol (such as XNAS:AAPL), the exchange_mic, the currency_code and a stable instrument_id that survives ticker changes. trade_count is included where the source reports it and is otherwise null.

The time field depends on the endpoint. Daily bars carry a single date: the exchange-local trading date. Intraday bars carry datetime, the UTC instant the bar opens, so the first regular-session bar of a New York trading day in October is 13:30:00Z. Cross-asset bars carry window_start and window_end plus interval and session.

Parameters that shape the bars

• interval (intraday and cross-asset): 5m or 1h for exchange listings. 1m is not collected for them and returns 422 unsupported-interval rather than an empty page. /v1/bars also takes 1d. Weekly and monthly bars are not served; build them from daily bars.
• session: regular for exchange listings, which have regular-session bars only. Crypto pairs trade around the clock in one session, so all selects the same bars.
• adjustment: raw (the default), split or total_return. See adjusted stock prices for how each is built.
• from and to: exchange-local trading dates as YYYY-MM-DD, both inclusive, so from equal to to selects one session. A timestamp returns 422 invalid-date.
• order, limit (1 to 500, default 100) and cursor: copy meta.next_cursor into the next request until it is null.
• as_of and symbol_at: a knowledge cutoff for point-in-time reads, and the date at which a ticker is resolved to a listing.

Batch requests and whole-market date queries

symbols takes a comma-separated list of up to 100 symbols. Bare tickers resolve to the listing that holds them, and every requested symbol appears either in data or in meta.errors with a code such as symbol-not-resolved or no-data, so a batch never fails silently. Credits are charged per distinct symbol.

For a market-wide snapshot of one session, pass date instead of from and to and omit symbols. /v1/eod returns one raw bar for every listing in your entitled markets that traded that day, in symbol order, optionally limited with exchanges. The request costs 500 credits and pages like any other.

curl 'https://api.ohlc.io/v1/eod?date=2026-10-02&exchanges=XNYS,XNAS&limit=500' \
  -H "Authorization: Bearer $OHLC_API_KEY"

Formats: JSON, CSV, files and AI assistants

1. Call the REST endpoints for JSON envelopes of { data, meta }, with ETags for conditional requests.
2. Add format=csv to load the same rows into Excel or Google Sheets. The next cursor moves to the X-Next-Cursor header.
3. On Pro and above, download nightly flat files of every daily bar instead of paging through the market.
4. Ask Claude or another MCP client: get_eod_prices, get_intraday_bars and get_bars are the same endpoints as tools.

Looking for how far back prices go rather than the bar format? Historical stock prices covers history depth by plan. Nothing here is real-time: daily bars are end-of-day, and intraday bars and quotes are delayed at least 15 minutes.

curl 'https://api.ohlc.io/v1/eod?symbols=XNAS:AAPL,XNYS:JNJ&from=2026-10-02&to=2026-10-02' \
  -H "Authorization: Bearer $OHLC_API_KEY"

{
  "data": [
    {
      "date": "2026-10-02",
      "security_id": "01M35H2KE2ZJHXFY5C3E7FPC66",
      "instrument_id": "01M35H2KE2ZJHXFY5C3E7FPC66",
      "symbol": "XNAS:AAPL",
      "exchange_mic": "XNAS",
      "currency_code": "USD",
      "open": "333.205",
      "high": "334.54",
      "low": "330.61",
      "close": "333.69",
      "volume": "31878433",
      "trade_count": 628338
    },
    {
      "date": "2026-10-02",
      "security_id": "01M35XSMJQGQD66XDX1R38FJDM",
      "instrument_id": "01M35XSMJQGQD66XDX1R38FJDM",
      "symbol": "XNYS:JNJ",
      "exchange_mic": "XNYS",
      "currency_code": "USD",
      "open": "259.38",
      "high": "259.38",
      "low": "255.12",
      "close": "256.03",
      "volume": "10939967",
      "trade_count": 166129
    }
  ],
  "meta": {
    "timezone": "UTC",
    "as_of": "2026-10-03T15:08:26.944354Z",
    "next_cursor": null
  }
}