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Data Catalog

Browse our curated market data catalog across exchanges and asset types, and the raw trades, quotes and derivatives data behind it.

Preview data — no subscription. Try it free with DEMO-KEY↓
6 raw · 19 datasets

Raw data

The ticks the metrics are built from, as Parquet filesHow raw data works →

Raw L2 order books aren't offered yet. Ask us.

Trades

Derivatives

Market Data

L1 (Top of Book)

L2 (Order Book)

Preview Data

No account needed

A fixed slice of every dataset is free to download: the shared key DEMO-KEY over cURL, --preview in the CLI or preview=True in Python. Pick one for a command you can paste and run. A subscription unlocks full history and every exchange, symbol, interval and parameter; extended trials are available on request.

Raw data

The 2025-06 file of each venue's BTC perpetual, for every dataset the venue serves.

DatasetBinanceperpetual-BTC-USDT:USDTOKXperpetual-BTC-USDT:USDTHyperliquidperpetual-BTC-USDC:USDC
trades
quotes
mark_price
index_price
funding_rate
open_interest

Metrics

Every metric, over one slice: binance-futures · perpetual-BTC-USDT:USDT · 5m · exchange timestamps · 2025-05-01 → 2025-05-31

Trades

Derivatives

Market Data

L1 (Top of Book)

L2 (Order Book)

trades · binance-futures · perpetual-BTC-USDT:USDT · 2025-06

Open dataset
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"

# Download the 2025-06 trades file into ./raw — no API key needed
aperiodic raw trades --preview \
  --exchange binance-futures \
  --symbol perpetual-BTC-USDT:USDT \
  --output-dir ./raw && echo "Saved to $PWD/raw"
L1 Price

L1 Price

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

CodeAPI DocsTry It

Need the ticks behind this metric? Prime + Raw includes raw quotes.

midprice

Mid Price

Mid Price is the center of the best bid and best ask, making it the cleanest instantaneous fair-value proxy at the top of book.

Because it strips out half-spread noise, it is widely used for microstructure research, marking, and short-horizon return calculations.

weighted_midprice

Weighted Mid Price

Weighted Mid Price tilts the simple midpoint by the relative size resting at the best bid and ask.

That gives it a predictive flavor because it incorporates which side of the top of book is showing more immediate depth.

quote_update_frequency

Quote Update Frequency

Quote Update Frequency measures how actively the top of book was refreshing during the interval.

A high reading often means the market was competitive, reactive, or unstable enough to force frequent repricing.

avg_update_interval

Avg Update Interval

Average Update Interval is the time counterpart to quote frequency, showing how quickly the best quotes changed on average.

Shorter intervals imply a faster and more responsive book, while longer intervals suggest a calmer or less actively managed top of book.

bid_price_vwap

Bid Price VWAP

Bid Price VWAP summarizes where the best bid spent its time with volume-sensitive weighting.

It offers a richer picture than a single snapshot because it reflects how quoted buying interest evolved across the bar.

Endpoint

/api/v1/data/l1_price

Category

L1 (Top of Book)

Intervals
1m5m15m30m1h4h1d
Requires Institutional
15s30s
Exchanges
binance-futuresokx-perpshyperliquid-perps
Built from
Raw quotes →
Fields12
ask_priceAsk PriceLast best ask price in the interval
bid_priceBid PriceLast best bid price in the interval
ask_amountAsk AmountLast best ask quantity in the interval
bid_amountBid AmountLast best bid quantity in the interval
quote_update_frequencyQuote Update FrequencyNumber of top-of-book quote updates in the interval
avg_update_intervalAvg Update IntervalAverage milliseconds between top-of-book quote updates
midpriceMid PriceMidpoint between the last best bid and ask prices
weighted_midpriceWeighted Mid PriceMidprice weighted by the opposite-side top-of-book quantity
bid_price_twapBid Price TWAPAverage best bid price in the interval
ask_price_twapAsk Price TWAPAverage best ask price in the interval
bid_price_vwapBid Price VWAPBid-price average weighted by best bid quantity
ask_price_vwapAsk Price VWAPAsk-price average weighted by best ask quantity
Example Request
# 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"

# Free preview — no API key required
aperiodic l1_price --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 && echo "Saved to $PWD/data"

Query Parameters

timestampreqstring
string

Timestamp source. 'exchange' uses the exchange-reported timestamp, 'true' uses actual arrival time at our servers.

exchangetrue
intervalreqstring
string

Aggregation time interval for the data. Sub-minute intervals (15s, 30s) require a Tier 3 subscription.

15s30s1m5m15m30m1h4h1d
exchangereqstring
string

Source exchange for the data.

binance-futuresokx-perpshyperliquid-perps
symbolreqstring
string

Trading pair symbol in the format of Atlas' universal symbology: https://github.com/aperiodic-io/atlas

start_datereqstring<date>
string<date>

Start date for the data range (YYYY-MM-DD format). Data is partitioned by year and month.

end_datereqstring<date>
string<date>

End date for the data range (YYYY-MM-DD format). Must be greater than or equal to start_date.

Successful response with download URLs for every file covering the range — one per month before 2026-08-01, one per day from 2026-08-01 onwards

Schema
filesobject[]required

Files covering the requested date range, in chronological order. Data before 2026-08-01 is split by month (one file per calendar month, no `day`); data from 2026-08-01 onwards is split by day (one file per calendar day, with `day` set). The changeover falls on a month boundary, so a given month is served entirely one way or the other; a range spanning it returns the earlier months as monthly files followed by a daily file per day.

yearintegerrequired

Year of the data file

monthintegerrequired

Month of the data file (1-12)

dayinteger

Day of the data file (1-31). Present only on daily files, i.e. those covering 2026-08-01 onwards. Absent on monthly files, which cover an entire calendar month.

urlstring<uri>required

Presigned URL for direct file download (valid for 5 minutes). URLs are served from dataset-specific subdomains, e.g. ohlcv.aperiodic.io, trade-metrics.aperiodic.io, l1-metrics.aperiodic.io, l2-metrics.aperiodic.io, derivative-metrics.aperiodic.io.

Example
{
  "files": [
    {
      "year": 2026,
      "month": 6,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-06.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 7,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-07.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 1,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-01.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 2,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-02.parquet?X-Amz-Expires=300&..."
    }
  ]
}
Try It

Prefilled with the shared DEMO-KEY and a free preview slice — send the request to see live data, no account required.

Suggestions shown — any valid value accepted
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Authentication
GET/api/v1/data/preview/l1_price?timestamp=exchange&interval=5m&exchange=binance-futures&symbol=perpetual-BTC-USDT%3AUSDT&start_date=2025-05-01&end_date=2025-05-31
Response will appear here
Aperiodic

Crypto microstructure, liquidity & flow metrics — built from hundreds of terabytes of raw data, 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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