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Data Catalog

Every metric we compute, across exchanges and asset types, and the raw trades, quotes and derivatives data behind them. See each dataset in the Metrics library.
Preview data — no subscription. Try it free with DEMO-KEY ↓
3 indices · 19 datasets · 5 raw

Aperiodic Indices

Each one a column of the metrics below, shown for Binance’s BTC-USDT perp over the last 24 hoursEvery index →
Cost Index—
Prime
What does crossing the spread cost?l1_liquidity
Depth Index—
Prime
How much is quoted at the best bid and ask?l1_liquidity
Impact Index—
Pro
How far does $1M of net taker flow move the price?impact

Trades

Derivatives

Market Data

L1 (Top of Book)

L2 (Order Book)

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.

Preview Data

No account needed
A fixed slice of every metric, and one month of raw trades, 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 trades file of the BTC perpetual on Binance and OKX.

DatasetBinanceperpetual-BTC-USDT:USDTOKXperpetual-BTC-USDT:USDT
trades

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 Imbalance

L1 (Top of Book)

L1 Imbalance

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

See it on real data

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

Sample CSVStart in Claude
CodeLive StreamAPI DocsTry It
00h06h12h18h
18152231

Shown: bid_ask_ratio_avg, hourly, 1–31 January 2024, from this page's Sample CSV · extreme: 91.55×, 1 Jan, 14:00 UTC · built with l1_imbalance

lowhighextreme
imbalance

Imbalance

Imbalance measures the raw difference between bid-side and ask-side top-of-book size.

It is one of the fastest ways to see which side is presenting more immediate resting interest at the best quotes.

imbalance_ratio

Imbalance Ratio

Imbalance Ratio scales the raw difference into a relative measure that is easier to compare across symbols and market states.

Because it normalizes for total top-of-book size, it often gives a cleaner signal than the raw imbalance alone.

bid_ask_ratio

Bid/Ask Ratio

Bid/Ask Ratio directly compares the best-bid size with the best-ask size.

It is intuitive, portable, and useful when you want to know whether displayed buying depth materially outweighed displayed selling depth.

bid_percentage_avg

Avg Bid %

Average Bid % shows the mean share of top-level liquidity that sat on the bid across the interval.

This smooths through flicker and highlights the prevailing balance of displayed interest instead of a single instant.

ask_percentage_avg

Avg Ask %

Average Ask % is the complementary view, capturing how much of top-level liquidity tended to sit on the ask side.

Monitoring the bid and ask averages together helps reveal whether one side dominated persistently or whether the book spent the interval near equilibrium.

Endpoint
/api/v1/data/l1_imbalance
Category
L1 (Top of Book)
Built from
Raw quotes →
Intervals
1m5m15m30m1h4h1d
Requires Institutional
15s30s
Exchanges
binance-futuresokx-perpshyperliquid-perps

Fields

10
FieldNameDescription
imbalanceImbalanceLast best-bid quantity minus best-ask quantity in the interval
imbalance_ratioImbalance RatioLast normalized difference between best-bid and best-ask quantity
bid_ask_ratioBid/Ask RatioLast best-bid quantity divided by best-ask quantity
bid_percentageBid %Last share of top-of-book quantity resting on the bid side
ask_percentageAsk %Last share of top-of-book quantity resting on the ask side
imbalance_avgAvg ImbalanceAverage best-bid quantity minus best-ask quantity in the interval
imbalance_ratio_avgAvg Imbalance RatioAverage normalized bid-ask quantity imbalance in the interval
bid_ask_ratio_avgAvg Bid/Ask RatioAverage best-bid quantity divided by best-ask quantity in the interval
bid_percentage_avgAvg Bid %Average share of top-of-book quantity on the bid side
ask_percentage_avgAvg Ask %Average share of top-of-book quantity on the ask side

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_imbalance --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"

Live Stream

Every new row as it is computed, over WebSocket at wss://stream.aperiodic.io/v1/stream. Authenticate with your API key in the X-API-KEY header and subscribe to channels named l1_imbalance.<exchange>.<interval>, on intervals 15s, 30s, 1m, 5m, 15m, 30m, 1h, 4h, 1d (15s and 30s on Institutional Live only). Streaming is included on Live plans.

pip install "aperiodic[stream]"
pypi ↗
import os

from aperiodic import stream

for message in stream(
    api_key=os.environ["APERIODIC_API_KEY"],
    dataset="l1_imbalance",
    exchange="binance-futures",
    interval="1m",
    symbols=["perpetual-BTC-USDT:USDT"],  # omit for every symbol on your plan
):
    print(message.channel, message.snapshot, message.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 an Institutional plan.

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). A metric series starts on the first day of the raw series it is computed from (see /metadata/raw); raw trades and quotes start binance-futures from 2020-01-01, okx-perps from 2019-09-01, hyperliquid-perps from 2025-01-01. Earlier days return no files. How far back you can go depends on the plan: 5 years on Pro, full history on Prime, Prime + Raw and Institutional. An earlier start_date than the plan reaches returns 403.

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 existing file covering the range from the series' published start — 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
Suggestions shown — any valid value accepted
Suggestions shown — any valid value accepted
Authentication
GET/api/v1/data/preview/l1_imbalance?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

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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© Copyright 2026 Aperiodic. All Rights Reserved.

Aperiodic Limited · Registered in Ireland · Company No. 815273 ·
136 Capel Street, Dublin D01 T2C9, Ireland

Shown: minute closes of 847 perpetuals, 20:30–22:30 UTC on 10 Oct 2025, IOTX in orange · built with ohlcv 1m

Cost Index0.012bps
Prime
What does crossing the spread cost?l1_liquidity
Depth Index$1.0M
Prime
How much is quoted at the best bid and ask?l1_liquidity
Impact Index0.035bps per $1M
Pro
How far does $1M of net taker flow move the price?impact