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timestamp
timestamp[ms]date
2021-05-25 00:00:00
2025-12-15 16:41:39
bid_price
float64
10.4k
26.3k
ask_price
float64
10.4k
26.3k
bid_volume
float64
0
0
ask_volume
float64
0
0
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USTECH (Nasdaq 100) Tick Data (May 2021 – May 2026)

Five years of tick-by-tick bid/ask quotes for the Nasdaq 100 index CFD (a.k.a. USTECH, US Tech 100) at millisecond resolution. Sourced from Dukascopy via Tickstory.

Dataset details

Instrument USTECH (Nasdaq 100 Index CFD)
Period 2021-05-25 → 2026-05-24
Granularity Tick (millisecond timestamps)
Rows ~376 million
Format Apache Parquet (Snappy)
Partitioning Hive-style by year/month

Schema

Column Type Description
timestamp timestamp[ms] UTC tick time, millisecond precision
bid_price float64 Best bid price (index points)
ask_price float64 Best ask price (index points)
bid_volume float64 Bid-side volume
ask_volume float64 Ask-side volume

Quick start

from datasets import load_dataset
ds = load_dataset("CarlosSilva1/ustech-ticks", split="train", streaming=True)
for row in ds.take(5):
    print(row)

Or with pandas:

import pandas as pd
df = pd.read_parquet(
    "https://huggingface.co/datasets/CarlosSilva1/ustech-ticks/resolve/main/"
    "year=2024/month=03/USTECH-2024-03-part0001.parquet"
)
print(df.head())

Typical use cases

  • Backtesting intraday Nasdaq strategies
  • Correlation analysis vs. S&P 500, gold, VIX
  • Tech sector volatility regimes (FOMC, earnings, CPI)
  • Pair trading USTECH vs US500 (tech beta plays)
  • ML/time-series forecasting on high-frequency tech data

Related datasets

License

CC-BY-4.0. Provided as-is for research and educational purposes. Not investment advice.

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