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Free crypto market data

A free account gets all 220 of our metrics for the whole of 2025, on BTC, ETH, SOL and 10 RWA perps, across Binance, OKX and Hyperliquid, from 1-minute to daily bars. Order book metrics included. If you’d rather look before signing up, every dataset also has a one-month sample you can download with no account at all.

File sizes measured from the preview endpoint on November 5, 2026.

What a free key gets you

  • Every one of the 19 datasets, order book ones included, for all of 2025.
  • BTC, ETH and SOL, plus SanDisk, Nvidia, Gold, SK hynix, WTI crude oil, Micron, Silver, Nasdaq 100, S&P 500, Tesla, on Binance, OKX and Hyperliquid.
  • Bars from 1 minute to 1 day, as parquet, through the API, the Python SDK or the CLI.
  • 1,000 requests a day, and a single request can cover the whole year.
  • A personal licence, and the same key if you upgrade (pricing).

Or try it with no account

Every dataset has a no-key sample: BTC-USDT on Binance, 5m bars, May 2025. The CLI saves it as parquet and the SDK returns a DataFrame. Swap flow for any dataset id below. With your free key, drop preview=True and pass api_key= instead.
terminal
# Install the Aperiodic CLI into ~/.local/bin
mkdir -p "$HOME/.local/bin"
curl -fsSL https://raw.githubusercontent.com/aperiodic-io/cli/main/install.sh | INSTALL_DIR="$HOME/.local/bin" bash
export PATH="$HOME/.local/bin:$PATH"

aperiodic flow --preview \
  --exchange binance-futures \
  --symbol perpetual-BTC-USDT:USDT \
  --interval 5m \
  --timestamp exchange \
  --start-date 2025-05-01 \
  --end-date 2025-05-31 \
  --output-dir ./data
example.py
# pip install "aperiodic[polars]"
from datetime import date

from aperiodic import get_metrics

flow = get_metrics(
    metric="flow",
    exchange="binance-futures",
    symbol="perpetual-BTC-USDT:USDT",
    interval="5m",
    timestamp="exchange",
    start_date=date(2025, 5, 1),
    end_date=date(2025, 5, 31),
    preview=True,  # no key: the SDK sends the shared DEMO-KEY
)

All 19 datasets

All free for 2025 on the free markets. The file size is the no-key sample (8,928 bars, 6.6 MB for all 19). Click a name for the dataset’s page, where every metric is defined.
DatasetWhat it holdsMetricsNo-key sampleEvery perp and year
Flow MetricsflowDirectional order flow split by taker buy vs. sell, broken into small/medium/large notional segments, with a flow toxicity score.36789 KBPro
Trade Sizetrade_sizeTrade notional split into small (< $100), medium ($100–$1,000), and large (≥ $1,000) segments, with summary statistics for individual trade sizes.24556 KBPro
Price Range & DistributionrangeIntrabar high-low price range and full distribution statistics (mean, median, std, skewness, kurtosis) for trade prices within each interval.10302 KBPro
Impact MetricsimpactHow much each unit of trading volume moves the price, measured via Amihud illiquidity, Kyle lambda, impact per notional, and large-trade reversal.5157 KBPro
Up / Down Tick MetricsupdownticksUptick and downtick count, volume, ratios and percentages based on price movement direction.14364 KBPro
Trade Run Structurerun_structureConsecutive same-direction trade run lengths, imbalance, flip rate, and price change on direction flip.7182 KBPro
Returns & VolatilityreturnsLog-return based metrics: variance, realized volatility, bipower variation, jump ratio, autocorrelation, and trendiness.6181 KBPro
SlippageslippageHow much each trade pays above the best ask (buys) or receives below the best bid (sells) relative to the prevailing quote, aggregated per interval.10275 KBPro
BasisbasisPerpetual futures mark price premium over index price (basis) and last trade price, in absolute and basis-point terms.8223 KBPro
FundingfundingFunding rate and update frequencies for perpetual futures contracts.326 KBPro
Open Interestopen_interestOpen interest values with percentage change, volatility, and OI/price change ratio.4272 KBPro
Derivative Pricederivative_priceSnapshot of mark, index, and last trade prices with interval percentage changes and pairwise divergence ratios.9512 KBPro
CandlesticksohlcvOpen, High, Low, Close, Volume candlestick data with notional volume.6159 KBPro
VWAP / TWAPvtwapVolume-weighted and time-weighted average prices for precise execution benchmarks.2108 KBPro
L1 Pricel1_priceBest bid and ask prices with quantities, midprice, quantity-weighted midprice, time/volume-weighted averages, and quote update frequency.12488 KBPro
L1 Imbalancel1_imbalanceBid/ask imbalance, ratio, percentages — both instantaneous (last) and averaged over the interval.10307 KBPrime
L1 Liquidityl1_liquiditySpread (absolute and bps), depth, dollar depth — instantaneous and interval-averaged.14361 KBPrime
L2 Order Book Imbalancel2_imbalanceMulti-depth (5, 10, 20, 25 levels) order book imbalance, ratio, and averages.24760 KBPrime
L2 Order Book Liquidityl2_liquidityTotal bid/ask depth aggregated over 5, 10, 20, 25 order book levels — instantaneous and interval-averaged.16598 KBPrime
  • Flow Metrics

    Directional order flow split by taker buy vs. sell, broken into small/medium/large notional segments, with a flow toxicity score.

    flow · 36 metrics · 789 KB sample · every perp and year on Pro

  • Trade Size

    Trade notional split into small (< $100), medium ($100–$1,000), and large (≥ $1,000) segments, with summary statistics for individual trade sizes.

    trade_size · 24 metrics · 556 KB sample · every perp and year on Pro

  • Price Range & Distribution

    Intrabar high-low price range and full distribution statistics (mean, median, std, skewness, kurtosis) for trade prices within each interval.

    range · 10 metrics · 302 KB sample · every perp and year on Pro

  • Impact Metrics

    How much each unit of trading volume moves the price, measured via Amihud illiquidity, Kyle lambda, impact per notional, and large-trade reversal.

    impact · 5 metrics · 157 KB sample · every perp and year on Pro

  • Up / Down Tick Metrics

    Uptick and downtick count, volume, ratios and percentages based on price movement direction.

    updownticks · 14 metrics · 364 KB sample · every perp and year on Pro

  • Trade Run Structure

    Consecutive same-direction trade run lengths, imbalance, flip rate, and price change on direction flip.

    run_structure · 7 metrics · 182 KB sample · every perp and year on Pro

  • Returns & Volatility

    Log-return based metrics: variance, realized volatility, bipower variation, jump ratio, autocorrelation, and trendiness.

    returns · 6 metrics · 181 KB sample · every perp and year on Pro

  • Slippage

    How much each trade pays above the best ask (buys) or receives below the best bid (sells) relative to the prevailing quote, aggregated per interval.

    slippage · 10 metrics · 275 KB sample · every perp and year on Pro

  • Basis

    Perpetual futures mark price premium over index price (basis) and last trade price, in absolute and basis-point terms.

    basis · 8 metrics · 223 KB sample · every perp and year on Pro

  • Funding

    Funding rate and update frequencies for perpetual futures contracts.

    funding · 3 metrics · 26 KB sample · every perp and year on Pro

  • Open Interest

    Open interest values with percentage change, volatility, and OI/price change ratio.

    open_interest · 4 metrics · 272 KB sample · every perp and year on Pro

  • Derivative Price

    Snapshot of mark, index, and last trade prices with interval percentage changes and pairwise divergence ratios.

    derivative_price · 9 metrics · 512 KB sample · every perp and year on Pro

  • Candlesticks

    Open, High, Low, Close, Volume candlestick data with notional volume.

    ohlcv · 6 metrics · 159 KB sample · every perp and year on Pro

  • VWAP / TWAP

    Volume-weighted and time-weighted average prices for precise execution benchmarks.

    vtwap · 2 metrics · 108 KB sample · every perp and year on Pro

  • L1 Price

    Best bid and ask prices with quantities, midprice, quantity-weighted midprice, time/volume-weighted averages, and quote update frequency.

    l1_price · 12 metrics · 488 KB sample · every perp and year on Pro

  • L1 Imbalance

    Bid/ask imbalance, ratio, percentages — both instantaneous (last) and averaged over the interval.

    l1_imbalance · 10 metrics · 307 KB sample · every perp and year on Prime

  • L1 Liquidity

    Spread (absolute and bps), depth, dollar depth — instantaneous and interval-averaged.

    l1_liquidity · 14 metrics · 361 KB sample · every perp and year on Prime

  • L2 Order Book Imbalance

    Multi-depth (5, 10, 20, 25 levels) order book imbalance, ratio, and averages.

    l2_imbalance · 24 metrics · 760 KB sample · every perp and year on Prime

  • L2 Order Book Liquidity

    Total bid/ask depth aggregated over 5, 10, 20, 25 order book levels — instantaneous and interval-averaged.

    l2_liquidity · 16 metrics · 598 KB sample · every perp and year on Prime

What a paid plan adds

Every other perp and every other year needs a plan that includes the dataset: Pro for 15 of them, Prime for the 4 order book ones. Plans cover Binance futures, OKX perps and Hyperliquid perps, from 1-minute to daily bars, timestamped by the exchange or by when each update reached us. Pro keeps 5 years of history and Prime keeps all of it, including perps that have since been delisted (pricing).

Free and live, 15 minutes behind

If you want something live, the markets dashboard shows the perps on Binance, OKX and Hyperliquid with a 15-minute delay. The JSON behind it is public too, at /api/v1/public/markets/board, rate limited per address.

Questions

Do I need an account?
For all of 2025, yes: a free account gives you your own API key, and the same key keeps working if you upgrade. For a quick look, no: the one-month sample accepts the shared key DEMO-KEY, and the CLI and Python SDK send it for you.
Which markets are free?
BTC, ETH and SOL, plus these RWA perps: SanDisk, Nvidia, Gold, SK hynix, WTI crude oil, Micron, Silver, Nasdaq 100, S&P 500, Tesla. Every contract on those assets counts, on Binance, OKX and Hyperliquid.
Is there free crypto order book data?
Yes, as metrics. A free account gets the L2 imbalance and liquidity datasets (order book imbalance and depth at 5, 10, 20 and 25 levels) for all of 2025 on the free markets, down to 1-minute bars. We don’t sell raw L2 order books.
Can I use the free data commercially?
It comes under the personal licence, so it’s for your own research. For commercial use you need a plan with a commercial licence, Prime Commercial or above.
Aperiodic

Built from hundreds of terabytes of raw data and distilled into point-in-time metrics you can pull as parquet files. Plus the raw trades, quotes and derivatives data behind them.

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