Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Could not read the parquet files: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
Error code: FileSystemError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
candle_time timestamp[us, tz=UTC] | open float64 | high float64 | low float64 | close float64 | volume float64 | trades unknown |
|---|---|---|---|---|---|---|
2020-01-01T00:00:00 | 0.03285 | 0.03285 | 0.0327 | 0.03278 | 944,734.3 | "206" |
2020-01-01T00:15:00 | 0.03279 | 0.03279 | 0.03274 | 0.03274 | 68,379.7 | "16" |
2020-01-01T00:30:00 | 0.03277 | 0.0328 | 0.03271 | 0.03275 | 84,245.6 | "43" |
2020-01-01T00:45:00 | 0.03276 | 0.03279 | 0.03273 | 0.03278 | 68,641.3 | "36" |
2020-01-01T01:00:00 | 0.03277 | 0.03288 | 0.03276 | 0.03286 | 81,780.8 | "43" |
2020-01-01T01:15:00 | 0.03285 | 0.03298 | 0.03285 | 0.03298 | 1,066,989.4 | "96" |
2020-01-01T01:30:00 | 0.03298 | 0.03303 | 0.03294 | 0.03298 | 257,029.5 | "70" |
2020-01-01T01:45:00 | 0.03297 | 0.03299 | 0.03292 | 0.03299 | 154,952.1 | "56" |
2020-01-01T02:00:00 | 0.03299 | 0.03301 | 0.03298 | 0.033 | 205,851.5 | "42" |
2020-01-01T02:15:00 | 0.03301 | 0.03308 | 0.033 | 0.03305 | 149,717.9 | "77" |
2020-01-01T02:30:00 | 0.03308 | 0.03316 | 0.03308 | 0.03314 | 228,652.6 | "72" |
2020-01-01T02:45:00 | 0.03315 | 0.0332 | 0.03313 | 0.03317 | 507,753.1 | "77" |
2020-01-01T03:00:00 | 0.03319 | 0.03319 | 0.03297 | 0.033 | 472,067 | "70" |
2020-01-01T03:15:00 | 0.033 | 0.0331 | 0.033 | 0.0331 | 40,579.9 | "28" |
2020-01-01T03:30:00 | 0.03311 | 0.03311 | 0.03303 | 0.03303 | 70,968.8 | "16" |
2020-01-01T03:45:00 | 0.033 | 0.03305 | 0.03299 | 0.03303 | 155,749.2 | "36" |
2020-01-01T04:00:00 | 0.03301 | 0.03305 | 0.03299 | 0.033 | 169,550.7 | "32" |
2020-01-01T04:15:00 | 0.03299 | 0.03299 | 0.0329 | 0.03293 | 1,002,649.8 | "261" |
2020-01-01T04:30:00 | 0.03294 | 0.03302 | 0.03292 | 0.03298 | 137,634.2 | "33" |
2020-01-01T04:45:00 | 0.03303 | 0.03305 | 0.03299 | 0.03299 | 40,645.3 | "28" |
2020-01-01T05:00:00 | 0.033 | 0.03307 | 0.033 | 0.03304 | 88,314.5 | "40" |
2020-01-01T05:15:00 | 0.033 | 0.03306 | 0.033 | 0.03305 | 69,288.9 | "15" |
2020-01-01T05:30:00 | 0.03306 | 0.03307 | 0.03303 | 0.03303 | 25,232.5 | "21" |
2020-01-01T05:45:00 | 0.03306 | 0.03311 | 0.03306 | 0.03309 | 221,441.8 | "83" |
2020-01-01T06:00:00 | 0.03309 | 0.03325 | 0.03309 | 0.03322 | 607,597.6 | "108" |
2020-01-01T06:15:00 | 0.03324 | 0.03327 | 0.03318 | 0.03318 | 407,019.7 | "66" |
2020-01-01T06:30:00 | 0.03318 | 0.03322 | 0.03318 | 0.03322 | 73,773.3 | "37" |
2020-01-01T06:45:00 | 0.03321 | 0.03321 | 0.03316 | 0.03318 | 43,429.8 | "32" |
2020-01-01T07:00:00 | 0.03319 | 0.03321 | 0.03318 | 0.03318 | 30,258.6 | "9" |
2020-01-01T07:15:00 | 0.03317 | 0.03323 | 0.03317 | 0.03321 | 112,869.9 | "26" |
2020-01-01T07:30:00 | 0.03321 | 0.03321 | 0.03309 | 0.03313 | 264,756.5 | "67" |
2020-01-01T07:45:00 | 0.0331 | 0.03315 | 0.0331 | 0.03315 | 30,613.7 | "29" |
2020-01-01T08:00:00 | 0.03312 | 0.03315 | 0.03308 | 0.03308 | 21,820 | "9" |
2020-01-01T08:15:00 | 0.03307 | 0.03314 | 0.03306 | 0.03312 | 304,097.9 | "51" |
2020-01-01T08:30:00 | 0.0331 | 0.03311 | 0.03306 | 0.03306 | 93,880.8 | "49" |
2020-01-01T08:45:00 | 0.03304 | 0.03313 | 0.03304 | 0.03313 | 82,084 | "21" |
2020-01-01T09:00:00 | 0.03318 | 0.03318 | 0.03314 | 0.03314 | 140,444.3 | "34" |
2020-01-01T09:15:00 | 0.03314 | 0.03318 | 0.03314 | 0.03314 | 9,154.2 | "7" |
2020-01-01T09:30:00 | 0.03316 | 0.03319 | 0.03314 | 0.03314 | 36,653.5 | "24" |
2020-01-01T09:45:00 | 0.03314 | 0.03316 | 0.03312 | 0.03314 | 280,886.5 | "30" |
2020-01-01T10:00:00 | 0.03313 | 0.03318 | 0.03311 | 0.03318 | 37,845.9 | "24" |
2020-01-01T10:15:00 | 0.03318 | 0.03322 | 0.03316 | 0.0332 | 207,913.9 | "39" |
2020-01-01T10:30:00 | 0.03319 | 0.03322 | 0.03318 | 0.03321 | 199,576.6 | "23" |
2020-01-01T10:45:00 | 0.03321 | 0.03321 | 0.03315 | 0.03319 | 49,291.8 | "30" |
2020-01-01T11:00:00 | 0.03317 | 0.03318 | 0.03313 | 0.03313 | 57,032 | "20" |
2020-01-01T11:15:00 | 0.03315 | 0.03333 | 0.03311 | 0.0333 | 535,925 | "143" |
2020-01-01T11:30:00 | 0.0333 | 0.03335 | 0.03326 | 0.03329 | 310,401.4 | "36" |
2020-01-01T11:45:00 | 0.03328 | 0.03328 | 0.03308 | 0.03312 | 374,009.7 | "65" |
2020-01-01T12:00:00 | 0.03312 | 0.03321 | 0.0331 | 0.03318 | 109,680.7 | "26" |
2020-01-01T12:15:00 | 0.03316 | 0.03325 | 0.03315 | 0.03323 | 61,169.1 | "22" |
2020-01-01T12:30:00 | 0.03322 | 0.03333 | 0.0332 | 0.03333 | 354,548.3 | "78" |
2020-01-01T12:45:00 | 0.03332 | 0.03349 | 0.03331 | 0.03344 | 1,189,647.6 | "125" |
2020-01-01T13:00:00 | 0.03345 | 0.03349 | 0.0334 | 0.03347 | 799,301 | "127" |
2020-01-01T13:15:00 | 0.03347 | 0.03347 | 0.03343 | 0.03345 | 69,488.1 | "19" |
2020-01-01T13:30:00 | 0.03345 | 0.03347 | 0.03341 | 0.03344 | 244,468.5 | "41" |
2020-01-01T13:45:00 | 0.03343 | 0.03345 | 0.03338 | 0.03338 | 279,924.3 | "64" |
2020-01-01T14:00:00 | 0.03338 | 0.03342 | 0.03334 | 0.03341 | 153,079.8 | "33" |
2020-01-01T14:15:00 | 0.03341 | 0.03348 | 0.03338 | 0.03347 | 212,491.4 | "71" |
2020-01-01T14:30:00 | 0.03347 | 0.03348 | 0.0334 | 0.03347 | 441,344.7 | "69" |
2020-01-01T14:45:00 | 0.03349 | 0.03371 | 0.03347 | 0.03369 | 1,035,433.9 | "167" |
2020-01-01T15:00:00 | 0.0337 | 0.0338 | 0.03351 | 0.03355 | 2,481,014.4 | "310" |
2020-01-01T15:15:00 | 0.03353 | 0.03355 | 0.03348 | 0.03355 | 426,304.8 | "75" |
2020-01-01T15:30:00 | 0.03353 | 0.03371 | 0.03352 | 0.0336 | 720,356.5 | "95" |
2020-01-01T15:45:00 | 0.03361 | 0.03362 | 0.03352 | 0.03358 | 462,921.7 | "82" |
2020-01-01T16:00:00 | 0.0336 | 0.03374 | 0.03359 | 0.03371 | 679,313.6 | "185" |
2020-01-01T16:15:00 | 0.03371 | 0.03371 | 0.03357 | 0.03365 | 434,505.3 | "84" |
2020-01-01T16:30:00 | 0.03363 | 0.03369 | 0.0336 | 0.03367 | 170,670.8 | "54" |
2020-01-01T16:45:00 | 0.03369 | 0.03374 | 0.03366 | 0.03374 | 110,382.2 | "31" |
2020-01-01T17:00:00 | 0.03375 | 0.03378 | 0.03366 | 0.03371 | 294,619.5 | "83" |
2020-01-01T17:15:00 | 0.0337 | 0.03374 | 0.03367 | 0.03372 | 126,724 | "62" |
2020-01-01T17:30:00 | 0.03371 | 0.03371 | 0.03364 | 0.03367 | 248,330.3 | "42" |
2020-01-01T17:45:00 | 0.03365 | 0.03371 | 0.03365 | 0.03366 | 131,206.6 | "21" |
2020-01-01T18:00:00 | 0.03368 | 0.03373 | 0.03366 | 0.03371 | 188,569.6 | "68" |
2020-01-01T18:15:00 | 0.03372 | 0.03374 | 0.03363 | 0.03364 | 237,664.8 | "44" |
2020-01-01T18:30:00 | 0.03361 | 0.03366 | 0.0336 | 0.03366 | 337,553.4 | "54" |
2020-01-01T18:45:00 | 0.03368 | 0.03373 | 0.03362 | 0.03371 | 215,035.2 | "60" |
2020-01-01T19:00:00 | 0.0337 | 0.03371 | 0.03364 | 0.03368 | 160,650.9 | "49" |
2020-01-01T19:15:00 | 0.03368 | 0.03371 | 0.03362 | 0.03365 | 112,846.4 | "67" |
2020-01-01T19:30:00 | 0.03365 | 0.03366 | 0.03362 | 0.03362 | 11,914.7 | "12" |
2020-01-01T19:45:00 | 0.03362 | 0.03366 | 0.0336 | 0.03362 | 179,976.1 | "48" |
2020-01-01T20:00:00 | 0.03362 | 0.03367 | 0.03362 | 0.03363 | 135,951.3 | "38" |
2020-01-01T20:15:00 | 0.03364 | 0.03376 | 0.03363 | 0.03373 | 276,791.5 | "86" |
2020-01-01T20:30:00 | 0.03373 | 0.03373 | 0.03366 | 0.03368 | 93,806.4 | "41" |
2020-01-01T20:45:00 | 0.03366 | 0.03368 | 0.03354 | 0.03354 | 547,434.9 | "103" |
2020-01-01T21:00:00 | 0.03354 | 0.03359 | 0.0335 | 0.03353 | 476,429.8 | "86" |
2020-01-01T21:15:00 | 0.03353 | 0.03356 | 0.03353 | 0.03354 | 31,009 | "16" |
2020-01-01T21:30:00 | 0.03355 | 0.0336 | 0.03353 | 0.03356 | 355,099.6 | "66" |
2020-01-01T21:45:00 | 0.03359 | 0.03369 | 0.03357 | 0.03367 | 691,835.5 | "141" |
2020-01-01T22:00:00 | 0.03366 | 0.03366 | 0.03348 | 0.0335 | 1,553,357.5 | "148" |
2020-01-01T22:15:00 | 0.0335 | 0.03354 | 0.03349 | 0.0335 | 372,479.8 | "40" |
2020-01-01T22:30:00 | 0.0335 | 0.03351 | 0.03337 | 0.0334 | 749,221.3 | "119" |
2020-01-01T22:45:00 | 0.0334 | 0.0335 | 0.03338 | 0.0335 | 305,784.7 | "86" |
2020-01-01T23:00:00 | 0.03346 | 0.03349 | 0.03335 | 0.03338 | 402,067.3 | "100" |
2020-01-01T23:15:00 | 0.03337 | 0.03349 | 0.03336 | 0.03347 | 341,278.1 | "103" |
2020-01-01T23:30:00 | 0.03345 | 0.03348 | 0.03337 | 0.03347 | 127,171.3 | "54" |
2020-01-01T23:45:00 | 0.03347 | 0.03351 | 0.03345 | 0.03348 | 62,365.3 | "45" |
2020-01-02T00:00:00 | 0.03345 | 0.03347 | 0.03345 | 0.03346 | 261,535.1 | "29" |
2020-01-02T00:15:00 | 0.03344 | 0.03347 | 0.03343 | 0.03347 | 46,087 | "35" |
2020-01-02T00:30:00 | 0.03347 | 0.03347 | 0.0334 | 0.03345 | 435,445.1 | "47" |
2020-01-02T00:45:00 | 0.03346 | 0.03348 | 0.03341 | 0.03345 | 277,242 | "84" |
End of preview.
Cardano OHLCV Pack — Full 6.5-Year Dataset (Free)
6 timeframes · 3.4M candles (1m) · 2020–2026 · Free, no email required
Complete Cardano OHLCV dataset built from audited tick-level trade data by The Glitch List.
What's Included
- 6 Parquet files: 1m, 5m, 15m, 1h, 4h, 1d
- Coverage: 2020-01-01 → 2026-07-04 (6.5 years)
- Zero look-ahead bias — verified
- Format: Apache Parquet (ZSTD compressed)
- Built from audited ADA/USDT tick-level trades
Quick Start
import polars as pl
df = pl.read_parquet("ADA_OHLCV_1m.parquet")
print(df.shape)
print(df.head())
Need Tick-Level Data?
The OHLCV pack is built from raw tick data. For HFT simulation, order flow imbalance, and market microstructure research, you need the tick-level dataset.
ADA/USDT Last Year — Rolling 12-Month Tick Data ($9): https://whop.com/checkout/ch_2g2VAwryhE6yh2v/
Includes a free Strategy Starter Kit (Jupyter notebook): VWAP, realized volatility, and Order Flow Imbalance — pre-built analysis ready to run. OFI can only be calculated with tick-level data, not OHLCV.
License
Personal research and trading bot development only. No commercial redistribution, resale, or public API deployment.
Citation
If you use this dataset, please credit The Glitch List and link to theglitchlist.com.
🎁 REGALO SORPRESA: Sovereign Setup — Hyperliquid Onboarding Kit
¡Sí, lo has leído bien! Con este dataset te regalamos además el Sovereign Setup — Hyperliquid Onboarding Kit completo, GRATIS: una guía interactiva paso a paso para salir de los exchanges centralizados y operar por fin en tu propia wallet, con control total de tus claves.
Lo encontrarás dentro del ZIP como BONUS_sovereign-setup-hyperliquid-kit.zip. Ábrelo, sigue los pasos, y bienvenido a la soberanía financiera. 🚀
- Downloads last month
- 107