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Equities, options, futures, future options. Up to a year of data. Run SQL or Python against the actual datasets, download what you need, or use the API. No credit card required.

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Cloud Data Lab

Manage your active compute sessions and explore datasets using the integrated SDK.

import algoseek_connector as ac

manager = ac.ResourceManager()
ds = manager.create_data_source('ArdaDB')
group = ds.groups['USEquityMarketData'].fetch()

✓ connected

minute_bar = group.datasets['TradeAndQuoteMinuteBarExtended'].fetch()
query = (
    minute_bar.select(
        minute_bar['BarDateTime'],
        minute_bar['LastTradePrice'],
        minute_bar['VolumeWeightPrice'],
        minute_bar['HighTradePrice'],
        minute_bar['LowTradePrice']
    )
    .where(
        (minute_bar['TradeDate'].between('2023-01-03', '2023-01-31'))
        & (minute_bar['Ticker'] == 'AAPL')
    )
)
result = minute_bar.fetch_dataframe(query)
print(result.head(5))

BarDateTime	LastTradePrice	VolumeWeightPrice	HighTradePrice	LowTradePrice
2023-01-03 04:00:00	130.8900	130.854120	131.0000	130.0600
2023-01-03 04:01:00	131.1000	130.955240	131.1800	130.8500
2023-01-03 04:02:00	131.1900	131.208770	131.2900	131.1000
2023-01-03 04:03:00	131.2800	131.220790	131.2900	131.1500
2023-01-03 04:04:00	131.4000	131.327900	131.4600	131.2400

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SQL Client

ArdaDB is built on open source ClickHouse. Use any ClickHouse compatible client, or standard ODBC and JDBC connectors.

SELECT
  BarDateTime,
  Ticker,
  VolumeWeightPrice,
  TotalVolume,
  TradeToMidVolWeightRelative,
  MaxSpread,
  TradeAtAsk,
  TradeAtBid
FROM USEquityMarketData.TradeAndQuoteMinuteBarExtended
WHERE Ticker = 'AAPL'
AND TradeDate BETWEEN '2023-01-02' AND '2023-12-31'

19,200 rows · 0.28s

BarDateTime	Ticker	VolumeWeightPrice	TotalVolume	TradeToMidVolWeightRelative	MaxSpread	TradeAtAsk	TradeAtBid
2023-01-03 04:00:00	AAPL	130.85412	8174	-0.11818	0.3	1888	2079
2023-01-03 04:01:00	AAPL	130.95524	8820	0.24762	0.35	4774	359
2023-01-03 04:02:00	AAPL	131.20877	2112	-0.37074	0.19	78	1370
2023-01-03 04:03:00	AAPL	131.22079	3888	0.3011	0.09	1851	123
2023-01-03 04:04:00	AAPL	131.3279	5984	0.19237	0.29	2442	329

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Download Data

Download specific tickers from any dataset as compressed CSV.

Dataset

US Equities Trade and Quote Minute Bar

Filter

AAPL · 2025-03-14

Rows

960 rows × 62 fields

Format

Compressed CSV · 136 KB

No need to pull an entire dataset. Files arrive ready for your local tools, your backtesting framework, or your existing pipeline.

Export CSV

About Data Downloads & Delivery

Package Format

Downloads are delivered as compressed CSV.

Expiration Policy

Download links and cloud delivery URLs remain active for up to 90 days. Please save your files locally before expiration.

Processing Time

Large downloads may take a few minutes. We’ll email you when your file is ready.

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RESTful API

Test your API integration against real algoseek data before committing to a subscription.

GET /v1/data/us-equity/eq-taq-1min-ext/AAPL
  ?TradeDate.gt=2023-01-01  # greater than
  &TradeDate.le=2023-01-31  # less than or equal
  &columns='BarDateTime,Ticker,VolumeWeightPrice,
    TotalVolume,TradeToMidVolWeightRelative,
    MaxSpread,TradeAtAsk,TradeAtBid'
  &response_format='json'
  &limit=1

{
  "data": [
    {
      "BarDateTime": "2023-01-03 04:00:00",
      "Ticker": "AAPL",
      "VolumeWeightPrice": 130.85412,
      "TotalVolume": 8174,
      "TradeToMidVolWeightRelative": -0.11818,
      "MaxSpread": 0.3,
      "TradeAtAsk": 1888,
      "TradeAtBid": 2079
    },
    {"BarDateTime": "2023-01-03 04:01:00", ...}
  ],
  "pagination": {
    "offset": 0,
    "limit": 2,
    "next_offset": 2
  }
}

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Subsecond on most queries across terabytes
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The algoseek RESTful API runs on ArdaDB. Pull data programmatically from any language.

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JSON responses

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