An interactive journey through market microstructure: watch orders become prices, feel the spread respond to stress, and discover why these mechanics shape every trade you will ever make.
Shown: an illustrative order book over time, bids below the mid and asks above it.
01The Order Book Comes AliveEvery market starts with two opposing lines: buyers and sellers, stacked by price and size. The order book is not just a record — it is the market's living, breathing state.
Imagine a room where buyers line up on the left and sellers on the right. The person at the front of each line sets the best bid and best ask. The gap between them is the spread. When a buyer gets impatient and crosses over to the seller's side at their price, a trade happens.
Live order bookSimulated
One tick every 500 ms
Mid price
A market order hits
103.07102.0599.00
100 s agonow
PriceSize
103.702.12
103.606.99
103.504.24
103.104.72
102.309.20
102.104.96
spread0.10
102.006.64
101.901.53
101.7014.32
101.3012.42
101.108.98
100.907.20
Price levels in the live order book
Total quantity available at this price
Mid
102.05
Spread
0.10
Last trade
—
Order size
10.0
Shown: an illustrative order book, simulated in your browser. Try a large size (10+) and watch the spread blow out.
Try placing a market buy with a large size. Watch how the order eats through the ask side, consuming liquidity level by level. The spread widens. The midprice shifts. This is in its most elemental form.
Biais, Hillion & Spatt (1995) showed that the shape of the order book — not just the best price — contains predictive information about future price dynamics. The distribution of depth across levels reveals strategic positioning before it shows up as obvious price moves.
The book above is simulated. Our measures the depth of real books, and there's a free sample to try.
Shown: open_interest, hourly, 1–31 January 2024, from this page's Sample CSV · extreme: 83154.746, 12 Jan, 19:00 UTC · built with open_interest
lowhighextreme
open_interest
Open Interest
Open Interest tracks the total outstanding derivatives exposure and serves as the balance-sheet backdrop for price action.
Rising open interest means new positions are being opened or expanded, while falling open interest suggests risk is being reduced or closed out.
open_interest_pct_change
Open Interest % Change
Open Interest % Change shows how quickly positioning expanded or contracted over the interval.
This is often more informative than the raw level because it makes sudden positioning events immediately visible.
open_interest_volatility
Open Interest Volatility
Open Interest Volatility measures how unstable outstanding positioning was inside the bar.
High values can indicate frequent leverage adjustments, position recycling, or stress-driven churn rather than steady accumulation.
oi_price_change_ratio
OI/Price Change Ratio
OI/Price Change Ratio compares how much positioning changed relative to the magnitude of the price move.
It helps answer whether price action was accompanied by substantial leverage participation or happened mostly without new positioning.
Open interest (OI) — the total number of outstanding derivative contracts — measures how much leverage the system is carrying. But raw OI is static information. Changes in OI, and their relationship to price, reveal the market's structural state in ways that price alone cannot.
Endpoint
/api/v1/data/open_interest
Category
Derivatives
Intervals
1m5m15m30m1h4h1d
Exchanges
binance-futuresokx-perpshyperliquid-perps
Fields
4
Field
Name
Description
open_interest
Open Interest
Last open interest value in the interval
open_interest_pct_change
Open Interest % Change
Percentage change in open interest from the first value to the last value in the interval
open_interest_volatility
Open Interest Volatility
Standard deviation of tick-to-tick open-interest percentage changes in the interval
oi_price_change_ratio
OI/Price Change Ratio
Open-interest return divided by mark-price return over the interval
Example Request
# Install the Aperiodic CLI into ~/.local/binmkdir -p"$HOME/.local/bin"curl-fsSLhttps://raw.githubusercontent.com/aperiodic-io/cli/main/install.sh | INSTALL_DIR="$HOME/.local/bin"bashexportPATH="$HOME/.local/bin:$PATH"# Free preview — no API key requiredaperiodicopen_interest --preview \--exchangebinance-futures \--symbolperpetual-BTC-USDT:USDT \--interval 5m \--timestampexchange \--start-date2025-05-01 \--end-date2025-05-31 \--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 open_interest.<exchange>.<interval>, on intervals 1m, 5m, 15m, 30m, 1h, 4h, 1d. Streaming is included on Live plans.
importosfromaperiodic importstreamformessage instream(api_key=os.environ["APERIODIC_API_KEY"],dataset="open_interest",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.
1m5m15m30m1h4h1d
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.