trade_id int64 403M 405M | price float64 28.8 31.6 | qty float64 0.01 27.8k | quote_qty float64 0.29 836k | time int64 1,759B 1,760B | is_buyer_maker bool 2
classes | is_best_match bool 1
class |
|---|---|---|---|---|---|---|
403,075,096 | 30.01 | 4.99 | 149.7499 | 1,759,104,001,255 | false | true |
403,075,097 | 30.01 | 12.84 | 385.3284 | 1,759,104,001,335 | false | true |
403,075,098 | 30.01 | 34.56 | 1,037.1456 | 1,759,104,001,335 | false | true |
403,075,099 | 30.01 | 31.27 | 938.4127 | 1,759,104,001,336 | false | true |
403,075,100 | 30.01 | 198.18 | 5,947.3818 | 1,759,104,001,336 | false | true |
403,075,101 | 30.01 | 17 | 510.17 | 1,759,104,001,336 | false | true |
403,075,102 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,103 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,104 | 30.01 | 5.07 | 152.1507 | 1,759,104,001,336 | false | true |
403,075,105 | 30.01 | 1.31 | 39.3131 | 1,759,104,001,336 | false | true |
403,075,106 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,107 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,108 | 30.01 | 5.07 | 152.1507 | 1,759,104,001,336 | false | true |
403,075,109 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,110 | 30.01 | 0.55 | 16.5055 | 1,759,104,001,336 | false | true |
403,075,111 | 30.01 | 22 | 660.22 | 1,759,104,001,336 | false | true |
403,075,112 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,113 | 30.01 | 0.18 | 5.4018 | 1,759,104,001,336 | false | true |
403,075,114 | 30.02 | 32.55 | 977.151 | 1,759,104,001,338 | false | true |
403,075,115 | 30.02 | 17.87 | 536.4574 | 1,759,104,001,342 | false | true |
403,075,116 | 30.02 | 130.83 | 3,927.5166 | 1,759,104,001,342 | false | true |
403,075,117 | 30.02 | 6.18 | 185.5236 | 1,759,104,001,342 | false | true |
403,075,118 | 30.02 | 19.6 | 588.392 | 1,759,104,001,343 | false | true |
403,075,119 | 30.02 | 15.78 | 473.7156 | 1,759,104,001,344 | false | true |
403,075,120 | 30.02 | 6.17 | 185.2234 | 1,759,104,001,345 | false | true |
403,075,121 | 30.02 | 5.67 | 170.2134 | 1,759,104,001,348 | false | true |
403,075,122 | 30.02 | 9.6 | 288.192 | 1,759,104,001,349 | false | true |
403,075,123 | 30.02 | 4.1 | 123.082 | 1,759,104,001,349 | false | true |
403,075,124 | 30.02 | 69.86 | 2,097.1972 | 1,759,104,001,349 | false | true |
403,075,125 | 30.02 | 0.08 | 2.4016 | 1,759,104,001,349 | false | true |
403,075,126 | 30.02 | 0.1 | 3.002 | 1,759,104,001,351 | false | true |
403,075,127 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,351 | false | true |
403,075,128 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,351 | false | true |
403,075,129 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,351 | false | true |
403,075,130 | 30.02 | 16.14 | 484.5228 | 1,759,104,001,351 | false | true |
403,075,131 | 30.02 | 0.51 | 15.3102 | 1,759,104,001,351 | false | true |
403,075,132 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,351 | false | true |
403,075,133 | 30.02 | 6.48 | 194.5296 | 1,759,104,001,351 | false | true |
403,075,134 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,351 | false | true |
403,075,135 | 30.02 | 10.82 | 324.8164 | 1,759,104,001,351 | false | true |
403,075,136 | 30.02 | 4.18 | 125.4836 | 1,759,104,001,353 | false | true |
403,075,137 | 30.02 | 78.89 | 2,368.2778 | 1,759,104,001,353 | false | true |
403,075,138 | 30.02 | 0.34 | 10.2068 | 1,759,104,001,353 | false | true |
403,075,139 | 30.02 | 0.17 | 5.1034 | 1,759,104,001,353 | false | true |
403,075,140 | 30.02 | 0.06 | 1.8012 | 1,759,104,001,353 | false | true |
403,075,141 | 30.02 | 0.28 | 8.4056 | 1,759,104,001,355 | false | true |
403,075,142 | 30.02 | 12.8 | 384.256 | 1,759,104,001,355 | false | true |
403,075,143 | 30.02 | 9.02 | 270.7804 | 1,759,104,001,355 | false | true |
403,075,144 | 30.02 | 11.92 | 357.8384 | 1,759,104,001,358 | false | true |
403,075,145 | 30.02 | 1.06 | 31.8212 | 1,759,104,001,361 | false | true |
403,075,146 | 30.02 | 40.66 | 1,220.6132 | 1,759,104,001,361 | false | true |
403,075,147 | 30.02 | 9.34 | 280.3868 | 1,759,104,001,363 | false | true |
403,075,148 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,363 | false | true |
403,075,149 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,363 | false | true |
403,075,150 | 30.02 | 46.78 | 1,404.3356 | 1,759,104,001,432 | true | true |
403,075,151 | 30.02 | 183.75 | 5,516.175 | 1,759,104,001,432 | true | true |
403,075,152 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,432 | true | true |
403,075,153 | 30.02 | 2.5 | 75.05 | 1,759,104,001,432 | true | true |
403,075,154 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,432 | true | true |
403,075,155 | 30.02 | 185.73 | 5,575.6146 | 1,759,104,001,432 | true | true |
403,075,156 | 30.02 | 110.97 | 3,331.3194 | 1,759,104,001,432 | true | true |
403,075,157 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,501 | true | true |
403,075,158 | 30.02 | 184.39 | 5,535.3878 | 1,759,104,001,501 | true | true |
403,075,159 | 30.02 | 45.45 | 1,364.409 | 1,759,104,001,501 | true | true |
403,075,160 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,161 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,162 | 30.02 | 86.69 | 2,602.4338 | 1,759,104,001,555 | true | true |
403,075,163 | 30.02 | 13.94 | 418.4788 | 1,759,104,001,555 | true | true |
403,075,164 | 30.02 | 1.65 | 49.533 | 1,759,104,001,555 | true | true |
403,075,165 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,166 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,167 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,168 | 30.02 | 0.18 | 5.4036 | 1,759,104,001,555 | true | true |
403,075,169 | 30.01 | 12 | 360.12 | 1,759,104,001,945 | true | true |
403,075,170 | 30.02 | 33.32 | 1,000.2664 | 1,759,104,002,083 | false | true |
403,075,171 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,172 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,173 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,174 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,175 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,176 | 30.02 | 188.1 | 5,646.762 | 1,759,104,002,542 | false | true |
403,075,177 | 30.02 | 11.72 | 351.8344 | 1,759,104,002,542 | false | true |
403,075,178 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,179 | 30.02 | 22 | 660.44 | 1,759,104,002,542 | false | true |
403,075,180 | 30.02 | 7.27 | 218.2454 | 1,759,104,002,542 | false | true |
403,075,181 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,182 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,542 | false | true |
403,075,183 | 30.02 | 16.27 | 488.4254 | 1,759,104,002,584 | true | true |
403,075,184 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,815 | true | true |
403,075,185 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,815 | true | true |
403,075,186 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,815 | true | true |
403,075,187 | 30.02 | 1.45 | 43.529 | 1,759,104,002,815 | true | true |
403,075,188 | 30.02 | 1.71 | 51.3342 | 1,759,104,002,815 | true | true |
403,075,189 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,815 | true | true |
403,075,190 | 30.02 | 0.18 | 5.4036 | 1,759,104,002,815 | true | true |
403,075,191 | 30.02 | 0.18 | 5.4036 | 1,759,104,003,125 | false | true |
403,075,192 | 30.02 | 0.18 | 5.4036 | 1,759,104,003,125 | false | true |
403,075,193 | 30.02 | 0.18 | 5.4036 | 1,759,104,003,125 | false | true |
403,075,194 | 30.02 | 0.18 | 5.4036 | 1,759,104,003,125 | false | true |
403,075,195 | 30.02 | 4.94 | 148.2988 | 1,759,104,003,125 | false | true |
Avalanche Tick-Level Trade Data — Free 1-Week Sample
Free sample of tick-level trade data for AVAX/USDT, covering September 29 – October 6, 2025.
This is a 1-week excerpt from a fully audited historical dataset, part of The Glitch List — a data engineering lab based in Barcelona producing institutional-grade crypto trade datasets.
Dataset Summary
- Rows in this sample: 2,307,394 (verified)
- Format: Apache Parquet (ZSTD compressed)
- Period: September 29 – October 6, 2025
- Schema: 7 columns —
trade_id, price, qty, quote_qty, time, is_buyer_maker, is_best_match - Quality: Row-by-row audited — no interpolated or synthetic data. Timestamp normalization applied and documented.
Quick Start
import pandas as pd
df = pd.read_parquet("data/sample_AVAX.parquet")
print(df.shape)
print(df.head())
Or via datasets:
from datasets import load_dataset
ds = load_dataset("jalvart/avalanche-tick-level-trade-data-free-sample")
Full Dataset
This sample is a 1-week excerpt. The complete dataset covers multiple years of fully audited historical data.
🎁 Launch offer (20% off, limited to 50 uses): https://jalvart.gumroad.com/l/alxydy?offer_code=GLITCH20
Or full price ($19): https://jalvart.gumroad.com/l/alxydy
More assets and full catalog: theglitchlist.com?utm_source=huggingface&utm_medium=referral&utm_campaign=free_sample
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?utm_source=huggingface&utm_medium=referral&utm_campaign=free_sample.
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