GOOGL historical data: 1-minute to daily bars, 2014 to 2026

GOOGL is the Alphabet Inc. Class A; it tracks Alphabet Class A common stock. MarketParquet holds GOOGL as a US stock with 1-minute, 5-minute, 30-minute, 1-hour and daily OHLCV bars from 2014-04-03 to 2026-09-11 (3,128 daily bars), split-adjusted (dividends not embedded), as one Parquet file per trading day.

GOOGL history starts with the 2014 share-class split; it is the usual Alphabet ticker in factor and momentum studies.

GOOGL at a glance

Sample: GOOGL 30-minute bars on 2026-09-16

The first regular-session bars from the newest 30-minute file, read live from the archive. Prices are the values as published; the full session has many more rows.

Open the full 2026-09-16 preview for GOOGL

Corporate actions in the changelog

No split adjustment for GOOGL appears in the published changelog, which lists every repair applied since it began. Earlier splits are already reflected in the archive: GOOGL prices are split-adjusted (dividends not embedded), so bars before any historical split sit on today's share basis. Dividends are deliberately not embedded; see data quality.

Load GOOGL in Python

Files are partitioned by trading day, so pulling one symbol means filtering across files. DuckDB reads the whole daily history in one statement; union_by_name and the COALESCE cover the older daily files, which carry a timestamp column where newer ones carry date:

  import duckdb

  googl = duckdb.sql("""
      SELECT COALESCE(date, CAST(timestamp AS DATE)) AS date,
             open, high, low, close, volume
      FROM read_parquet('by_date/stock_daily/*/*.parquet', union_by_name=true)
      WHERE symbol = 'GOOGL'
      ORDER BY 1
  """).df()

Intraday files all share one schema, so Polars can scan a year of 5-minute bars lazily and keep only GOOGL:

  import polars as pl

  bars = (
      pl.scan_parquet("by_date/stock_5min/2025/*.parquet")
        .filter(pl.col("symbol") == "GOOGL")
        .select(["timestamp", "open", "high", "low", "close", "volume"])
        .sort("timestamp")
        .collect()
  )

Timestamps are US/Eastern bar open times. The Polars guide, the DuckDB guide and the backtrader guide take it from here: multi-year loads, resampling and feeding a backtest engine.

Available Stock files

Every file holds all Stock symbols for that day, GOOGL included.

Get GOOGL data

Free: a free account can download roughly the last year of daily Stock files, which include GOOGL, from the daily browse page or by API key. Complete Archive: every timeframe and the full history back to 2014-04-03 for GOOGL and every other symbol, $79 one-time.

FAQ

Is GOOGL history split-adjusted?

Yes. Prices are split-adjusted so the series is continuous across splits; dividends are not embedded, which keeps the bars equal to the prices that actually traded.

How far back does GOOGL go?

The first GOOGL bar in the archive is dated 2014-04-03 and the newest is 2026-09-11. New sessions are added the same night, typically by midnight ET.

What timezone are the intraday bars in?

US/Eastern. Regular hours are 9:30 AM to 4:00 PM ET; 1-minute files also carry pre-market from 4:00 AM and after-hours to 8:00 PM where trades occurred.

Can I download only GOOGL?

Files are per day, not per symbol, so you download the daily or intraday files for the dates you need and filter on symbol == "GOOGL". A year of daily files is small; the snippets above do the filtering in one pass.

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