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timestamp[us, tz=UTC]date
2017-08-17 00:00:00
2026-09-17 23:45:00
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open
float64
0
126k
high
float64
0
126k
low
float64
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126k
close
float64
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126k
volume
float64
0
392B
2017-11-06T03:45:00
1.5
1.799
0.5
1.7
649.120008
2017-11-06T04:00:00
1.3
1.65
1.3
1.54
2,414.099945
2017-11-06T04:15:00
1.54
1.63
1.54
1.5445
3,924.380002
2017-11-06T04:30:00
1.5445
1.5735
1.5445
1.545
1,470.940002
2017-11-06T04:45:00
1.545
1.6479
1.545
1.6479
338.300003
2017-11-06T05:00:00
1.6479
1.6479
1.5455
1.5455
2,265.870117
2017-11-06T05:15:00
1.5455
1.5455
1.5455
1.5455
0
2017-11-06T05:30:00
1.5455
1.5525
1.5455
1.5521
806.729996
2017-11-06T05:45:00
1.5521
1.5521
1.5458
1.5458
3,555.600082
2017-11-06T06:00:00
1.5458
1.5458
1.5387
1.5387
8,579.790085
2017-11-06T06:15:00
1.5598
1.6399
1.5389
1.6399
1,396.100006
2017-11-06T06:30:00
1.6399
1.6399
1.6179
1.6199
3,264.329971
2017-11-06T06:45:00
1.6199
1.681
1.6199
1.681
9,527.679871
2017-11-06T07:00:00
1.6809
1.6809
1.6105
1.63
3,967.330026
2017-11-06T07:15:00
1.6478
1.6478
1.6105
1.6105
6,051.00016
2017-11-06T07:30:00
1.6
1.6104
1.6
1.6104
1,087.450012
2017-11-06T07:45:00
1.6104
1.625
1.6104
1.625
3,832.949982
2017-11-06T08:00:00
1.6011
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2,891.50998
2017-11-06T08:15:00
1.6379
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1.637
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2017-11-06T08:30:00
1.637
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1.602
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2,499.029984
2017-11-06T08:45:00
1.602
1.6378
1.602
1.6378
446.350006
2017-11-06T09:00:00
1.6378
1.6378
1.6
1.602
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2017-11-06T09:15:00
1.602
1.602
1.58
1.5883
4,544.009766
2017-11-06T09:30:00
1.6025
1.6025
1.6025
1.6025
17
2017-11-06T09:45:00
1.6025
1.6366
1.6
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291.720001
2017-11-06T10:00:00
1.6366
1.637
1.601
1.637
586.369995
2017-11-06T10:15:00
1.637
1.6477
1.6
1.602
2,014.909992
2017-11-06T10:30:00
1.602
1.602
1.602
1.602
0
2017-11-06T10:45:00
1.602
1.6479
1.602
1.6479
2,284.339981
2017-11-06T11:00:00
1.6479
1.65
1.6479
1.65
1,132.729996
2017-11-06T11:15:00
1.65
1.6759
1.637
1.637
1,516.510024
2017-11-06T11:30:00
1.637
1.637
1.637
1.637
103.620003
2017-11-06T11:45:00
1.637
1.676
1.6288
1.6288
1,571.910034
2017-11-06T12:00:00
1.6288
1.6288
1.6288
1.6288
1,585.470001
2017-11-06T12:15:00
1.6288
1.6288
1.6288
1.6288
140.05
2017-11-06T12:30:00
1.6124
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1.5803
1.5803
2,748.649994
2017-11-06T12:45:00
1.5803
1.582
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1,360.210034
2017-11-06T13:00:00
1.5804
1.6
1.5804
1.6
109.440002
2017-11-06T13:15:00
1.6
1.6
1.6
1.6
248.590004
2017-11-06T13:30:00
1.6
1.6
1.6
1.6
0
2017-11-06T13:45:00
1.6
1.6
1.5805
1.6
131.120001
2017-11-06T14:00:00
1.6
1.6
1.5804
1.5804
5,324.250061
2017-11-06T14:15:00
1.5804
1.5804
1.569
1.57
1,454.419998
2017-11-06T14:30:00
1.57
1.5802
1.5645
1.5684
2,171.089962
2017-11-06T14:45:00
1.5724
1.61
1.5724
1.61
90.849998
2017-11-06T15:00:00
1.61
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1.6098
1.6098
97.849998
2017-11-06T15:15:00
1.6098
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4,506.929993
2017-11-06T15:30:00
1.6068
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2,217.609985
2017-11-06T15:45:00
1.6148
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1.6148
1.6148
0
2017-11-06T16:00:00
1.6148
1.6229
1.6148
1.6229
132.799999
2017-11-06T16:15:00
1.6229
1.631
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1.6229
1,299.379997
2017-11-06T16:30:00
1.6229
1.6229
1.6229
1.6229
0
2017-11-06T16:45:00
1.6229
1.627
1.6148
1.6148
525.559996
2017-11-06T17:00:00
1.6108
1.627
1.6108
1.6148
443
2017-11-06T17:15:00
1.6148
1.6148
1.6028
1.6028
150
2017-11-06T17:30:00
1.6028
1.6028
1.5908
1.5908
851.570011
2017-11-06T17:45:00
1.5868
1.5868
1.57
1.5829
4,202.190102
2017-11-06T18:00:00
1.5829
1.5868
1.57
1.57
338.279999
2017-11-06T18:15:00
1.5671
1.571
1.5645
1.571
117.709999
2017-11-06T18:30:00
1.571
1.5948
1.5671
1.5948
400
2017-11-06T18:45:00
1.5948
1.6028
1.5908
1.5908
54
2017-11-06T19:00:00
1.5908
1.6028
1.5789
1.5868
198.660004
2017-11-06T19:15:00
1.5868
1.5868
1.571
1.571
2,806.660048
2017-11-06T19:30:00
1.571
1.5868
1.571
1.5868
50
2017-11-06T19:45:00
1.5868
1.5868
1.571
1.5868
200
2017-11-06T20:00:00
1.5868
1.5948
1.5763
1.5948
507.329987
2017-11-06T20:15:00
1.5948
1.5948
1.5868
1.5948
55
2017-11-06T20:30:00
1.5948
1.598
1.5868
1.5868
1,967.060059
2017-11-06T20:45:00
1.5868
1.5948
1.5789
1.5789
99.75
2017-11-06T21:00:00
1.5789
1.5789
1.5789
1.5789
0
2017-11-06T21:15:00
1.5789
1.5789
1.556
1.556
836.300011
2017-11-06T21:30:00
1.556
1.5868
1.556
1.5868
175.91
2017-11-06T21:45:00
1.5868
1.5868
1.556
1.571
695.410004
2017-11-06T22:00:00
1.571
1.5868
1.571
1.5868
71
2017-11-06T22:15:00
1.5868
1.5868
1.5868
1.5868
0
2017-11-06T22:30:00
1.5868
1.5868
1.5632
1.5632
418.490004
2017-11-06T22:45:00
1.5632
1.5632
1.55
1.5631
4,044.559978
2017-11-06T23:00:00
1.5631
1.5631
1.5631
1.5631
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2017-11-06T23:15:00
1.5553
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1.5631
105.990002
2017-11-06T23:30:00
1.5631
1.577
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1.571
1,014.559998
2017-11-06T23:45:00
1.571
1.571
1.56
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2017-11-07T00:00:00
1.571
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1.571
1.5868
768.090027
2017-11-07T00:15:00
1.5868
1.5948
1.5553
1.5631
1,212.270016
2017-11-07T00:30:00
1.571
1.571
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1.571
481.279999
2017-11-07T00:45:00
1.571
1.571
1.545
1.571
1,155.789978
2017-11-07T01:00:00
1.571
1.5789
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2017-11-07T01:15:00
1.5631
1.571
1.5631
1.571
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2017-11-07T01:30:00
1.571
1.571
1.5425
1.5425
2,530.020058
2017-11-07T01:45:00
1.5425
1.5425
1.5389
1.5389
150
2017-11-07T02:00:00
1.5389
1.5389
1.5389
1.5389
0
2017-11-07T02:15:00
1.5389
1.5389
1.5389
1.5389
0.72
2017-11-07T02:30:00
1.5389
1.5389
1.5389
1.5389
0
2017-11-07T02:45:00
1.5389
1.5389
1.5389
1.5389
0
2017-11-07T03:00:00
1.5389
1.58
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1.58
2.52
2017-11-07T03:15:00
1.58
1.58
1.55
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103.950001
2017-11-07T03:30:00
1.55
1.58
1.55
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91.93
2017-11-07T03:45:00
1.5555
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758.870009
2017-11-07T04:00:00
1.6188
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1.588
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2017-11-07T04:15:00
1.6184
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2017-11-07T04:30:00
1.5705
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573.629997
End of preview. Expand in Data Studio

Findra OHLCV Dataset (1-minute bars)

High-fidelity, deduplicated 1-minute OHLCV market bars across Cryptocurrency, Global Equities, and Real-Time Indexes.

Notes: — Consider 1m/ as the source of truth. — The other timeframes, are pre-cached and pre-sampled from 1m/ candlestick data (ohlcv) for 15m, 1h, ... etc. — Giving faster re-sampling from 6 hours to 24 hours, for example. —From there Weekly, Montly, etc is even faster. — Load .parquets into DB like DuckDB and just query on demand or calculate the timeframes you want. — Remember, miniminum current definition is 1 minute (1m)

Anything, just send me a message or pull req. :)

Structure

1m/
├── crypto/
│   ├── BTC.parquet  <--- BITCOIN ALL DATA MERGED in 1m candles
│   ├── ETH.parquet
│   └── ...
├── equities/
│   ├── AAPL.parquet    <--- APPLE ALL DATA MERGED in 1m candles
│   ├── NVDA.parquet  
│   └── ...
└── indexes/
    ├── ITOKENIZEDEQUITIESANDWRAPPEDASSETS.parquet  <--- indexes, ALL DATA MERGED in 1m candles (like QQQ etc, short levds, etc)
    └── ...

Schema

  • ts: UTC timestamp (DateTime64 or TIMESTAMP)
  • open: Opening price
  • high: High price
  • low: Low price
  • close: Closing price
  • volume: Trade volume

Donations

Rainbow Wallet: 0x1BD02B650f75d627fED48459D72CAed1F1b8595e

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