We're building the most comprehensive crypto data API we can, and it's still growing — there's always a coin, a field or an endpoint we haven't got to yet.
Please tell us about any data you think Crypto Data API should nail but doesn't. We're data nerds who love to geek out about market data, trading bots, AI agents, or how to make your trading stack work in general. Prefer a form? Send feedback.
— Sam and the CDA team
Join us on DiscordEvery Hyperliquid perpetual, ranked by how many times its own normal daily volume it is trading right now — 24-hour notional against a 30-day baseline. Relative volume, so a small market punching above its weight ranks alongside the majors.
Multiplier = live rolling 24-hour notional ÷ mean daily notional over the last 30 settled days. The tick on each bar marks 1.00× (perfectly normal); the bar fills to 6×. 24h Change is the change in volume — the live 24-hour notional against the most recent settled day — a like-for-like window, where the multiplier compares against the 30-day norm. The 7d Volume sparkline is each coin’s last 7 settled days, scaled to its own range (shape, not size). Markets listed under 7 days ago have no honest baseline and show “--”.
Relative volume, not raw volume.
Raw volume just tells you BTC is bigger than everything else — you knew that. The multiplier normalizes each market against its own history, so a mid-cap perp trading at 4× its usual daily notional outranks a major drifting along at 0.9×. That is the number worth scanning.
Volume is typically the earliest observable sign that something has changed. Liquidity shifts, funding dislocations and liquidation cascades all show up in traded notional before they resolve into a clean price trend — which is why a coin at several times normal volume is worth a look regardless of which way it is going.
Why both a mean and a median? One blow-off day inside the window drags the mean up and makes today look quiet against it. The median barely moves. When the two multipliers disagree sharply, that coin's recent history is lumpy — and the median is usually the more honest read.
The baseline covers the last 30 settled UTC days. Today's partial day is deliberately excluded: counting a half-finished day would drag every average down and inflate every multiplier on the board.
curl -H "X-API-Key: cdk_live_yourkey" \ "https://cryptodataapi.com/api/v1/volume/scanner?min_multiplier=3"
Filter by band or min_multiplier, sort by multiplier / volume_24h / change_24h, or pull one market’s 30-day series from /volume/scanner/{symbol}. The multiplier also rides along on /hyperliquid/summary.
Volume is usually the first thing to move — before funding dislocates, before the liquidations start, before a trend is legible on the chart. That makes the multiplier a natural trigger: it tells you where to look, not which way to go. The prompt below hands an agent the live scanner and the archive to test against, and makes it pair the trigger with a direction rule of its own rather than assuming high volume means up.
Build me a trading strategy that uses the CryptoDataAPI Volume Scanner as its entry trigger.
Read the live signal from /api/v1/volume/scanner (the `multiplier` field is a coin's 24h notional over its own 30-day baseline, so 3.0 means three times normal for THAT market).
Design it yourself, and be explicit about:
- the multiplier threshold that fires an entry, and why that level
- how you pick DIRECTION, since volume alone is directionless — combine it with something else (funding from /api/v1/derivatives/summary, or price structure from /api/v1/indicators/technical/{symbol})
- the exit, the stop, and the maximum position size
- what makes you skip a signal entirely
Then backtest it on /api/v1/backtesting/klines (1-minute Hyperliquid bars) by rebuilding the multiplier from archived candles: resample to 24h notional and divide by the trailing 30-day mean. Charge taker fees both sides.
Report the profit factor, win rate, max drawdown, and the number of trades. Then tell me plainly which market conditions it loses money in — if a high-volume trigger is just buying tops in a downtrend, I want to know that before I run it.
The scanner's multiplier is a ratio — today's 24h volume over that market's own baseline — so it reconstructs exactly from archived candles without needing a dollar figure. Pull the 1-minute Hyperliquid klines, resample to 24h, divide by the trailing baseline, and you have the same number this page ranks on, for any day since the archive opened.
curl -H "X-API-Key: cdk_live_yourkey" \ "https://cryptodataapi.com/api/v1/backtesting/klines?symbol=BTC&exchange=hyperliquid&start=2026-07-01&limit=5000"
One caveat, stated up front: the quote-volume column (qv) is null on Hyperliquid rows — the venue does not publish it, and we do not fabricate it. Use base volume v: because the multiplier is a ratio of a market against itself, the units cancel and the reconstruction is exact. Binance rows carry real qv.