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sandbox.algoseek.com / notebook / aapl-minute-bars.ipynb

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

sandbox.algoseek.com / sql / aapl_minute_bars_ext.sql

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

download

Query first, then download exactly the rows you need.

Dataset

US Equities Trade and Quote Minute Bar

Filter

AAPL · 2025-03-14

Rows

960 rows × 62 fields

Format

CSV · 136 KB (445 KB uncompressed)

You only download the specific rows your query selected. The compute and filtering happens inside ArdaDB, so you pull exactly what you need, not the entire dataset.

sandbox.algoseek.com / api / v1 / data / us-equity

Request

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

Response 200 OK · 0.31s

{
  "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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