Equity Historical Prices

Available as MCP tool: equity_historical_prices — call directly from Claude / Cursor / any MCP client. See MCP Server for the 60-second setup.

Live free · daily bars

What it does for your agent

equity_historical_prices returns daily OHLCV bars for a single US equity (NYSE / NASDAQ), plus adjusted_close, dividend, and stock_split per bar. Use it as the historical pricing primitive an agent reaches for whenever it needs returns, drawdowns, or backtest data — not for the latest tick. Two query modes share one endpoint: pass limit to get the most recent N closed days, or pass start_date + end_date for an exact window. Only closed trading days are returned — the in-progress day is never included.

Response

EquityHistoricalResult

required

Show EquityHistoricalResult fields

string

required

The stock ticker symbol (e.g. AAPL).

string

required

Always "1d" — only daily bars are supported.

EquityDailyBar[]

required

Daily bars in chronological order. Closed trading days only.

Show EquityDailyBar fields

number

required

Opening price.

number

required

High price.

number

required

Low price.

number

required

Closing price.

number

required

Trading volume.

number

required

Split- and dividend-adjusted close. Use this for return calculations.

number

required

Dividend amount paid on this date (0 if none).

number

required

Stock split ratio on this date (0 if none).

string

required

Trading date (YYYY-MM-DD).

number

Always 0 — this endpoint is free.

number

Account credits remaining.

200 OK · equity_historical_prices

{
  "data": {
    "ticker": "AAPL",
    "interval": "1d",
    "prices": [
      {
        "open": 178.50,
        "high": 182.30,
        "low": 177.80,
        "close": 181.20,
        "volume": 52340000,
        "adjusted_close": 181.20,
        "dividend": 0.24,
        "stock_split": 0,
        "time": "2025-03-28"
      },
      {
        "open": 181.00,
        "high": 183.50,
        "low": 180.20,
        "close": 182.90,
        "volume": 48120000,
        "adjusted_close": 182.90,
        "dividend": 0,
        "stock_split": 0,
        "time": "2025-03-31"
      }
    ]
  },
  "meta": { "creditsUsed": 0, "remainingCredits": 99 }
}

Notes

For return calculations, always use adjusted_close — it bakes in dividends and splits. Plain close is only safe when you’re rendering raw price charts.

The first request for a ticker + range can be slower. Subsequent identical queries usually return faster.

Use data.prices.length when you need the returned bar count; meta is reserved for credits and optional notices.

US equities only (NYSE / NASDAQ). No ADRs of non-US listings, no international markets.

Daily interval only. Minute-level (1m, 5m, 15m) bars are not exposed. For 1h regular-session bars, use equity_intraday_prices.

No real-time quote. The current trading day is excluded until market close. For latest price, this tool isn’t the right primitive.

Coverage is broad but not guaranteed. A handful of less-liquid tickers may occasionally return empty.

Direct invocation

HTTP / SDK examples

// Recent mode — last 30 trading days
{
  "method": "tools/call",
  "params": {
    "name": "equity_historical_prices",
    "arguments": { "ticker": "AAPL", "limit": 30 }
  }
}

// Range mode — explicit window
{
  "method": "tools/call",
  "params": {
    "name": "equity_historical_prices",
    "arguments": {
      "ticker": "MSFT",
      "start_date": "2025-04-01",
      "end_date": "2025-04-30"
    }
  }
}

import os, requests

headers = {"Authorization": f"Bearer {os.environ['LLMQUANT_API_KEY']}"}

# Recent mode
resp = requests.get(
    "https://api.llmquantdata.com/api/equity/historical",
    headers=headers,
    params={"ticker": "AAPL", "limit": 30},
).json()
for bar in resp["data"]["prices"]:
    print(f"{bar['time']}  C={bar['close']:.2f}  V={bar['volume']}")

# Range mode
resp = requests.get(
    "https://api.llmquantdata.com/api/equity/historical",
    headers=headers,
    params={
        "ticker": "MSFT",
        "start_date": "2025-04-01",
        "end_date": "2025-04-30",
    },
).json()
print(f"Range mode returned {len(resp['data']['prices'])} bars")

# Recent mode
curl "https://api.llmquantdata.com/api/equity/historical?ticker=AAPL&limit=30" \
  -H "Authorization: Bearer $LLMQUANT_API_KEY"

# Range mode
curl "https://api.llmquantdata.com/api/equity/historical?ticker=MSFT&start_date=2025-04-01&end_date=2025-04-30" \
  -H "Authorization: Bearer $LLMQUANT_API_KEY"

Full parameter reference

equity_historical_prices — request parameters

string

required

US equity ticker (e.g. AAPL, MSFT, BRK.B, ^GSPC for S&P 500 index).

Recent mode
Range mode

Pass limit only (or omit it for the default). Returns the most recent N closed trading days.

integer

default:30

Number of recent trading days. Default 30. Max 200.

Pass start_date and end_date together. Returns all closed trading days in the inclusive range.

string

required

Start of date range in YYYY-MM-DD (e.g. 2025-04-01). Must be paired with end_date.

string

required

End of date range in YYYY-MM-DD. Must be paired with start_date.

integer

Optional safety cap on returned bars. Default 30, max 200. In Range mode limit is only a guard; the date window drives selection.

Passing only start_date or only end_date returns a 400 error.

Equity Intraday Prices

1h regular-session bars for the same US equities — the short-lookback companion.

Crypto Historical Klines

Same shape (Recent / Range modes) for crypto pairs at sub-daily intervals.

MCP Server setup

Connect Claude / Cursor / any harness in 60 seconds.

Getting Started

Connect

Personal Context

Knowledge Data

Crypto Prices

Prediction Markets

Equity Prices

ETF

Macro Indicators

SEC Filings

News

SEC Form 13F

Equity Historical Prices

What it does for your agent

Response

Notes

Direct invocation

Full parameter reference

Equity Intraday Prices

Crypto Historical Klines

MCP Server setup

​What it does for your agent

​Response

​Notes

​Direct invocation

​Full parameter reference

​Related

Equity Intraday Prices

Crypto Historical Klines

MCP Server setup

What it does for your agent

Response

Notes

Direct invocation

Full parameter reference

Related