Rank the universe by gap metric
API · /gapstats-api
Opening Gap Statistics API
The overnight-gap behaviour day-traders actually trade, computed live from Yahoo Finance daily OHLC — no key, nothing stored. A gap is the jump between yesterday's close and today's open — the move that happens while the market is shut, on overnight news and futures drift. Traders live and die on two questions: how often does a name gap, and does the gap fill (price retraces to yesterday's close) or run (it keeps going). This API answers both with hard frequencies. For each instrument it returns how often it gaps up and down beyond a configurable threshold, the average size of up- and down-gaps, the gap-fill rate (the share of gaps where price traded back through the prior close intraday — for an up-gap, the day's low reaching the prior close), and the continuation rate (how often the day closes in the direction of the gap rather than fading it), plus the largest recent gaps. The asset endpoint returns one instrument's full gap profile with its biggest recent gaps; the screener endpoint ranks a universe of liquid stocks and ETFs by gappiness or gap-fill rate, surfacing the names that gap most and the ones whose gaps reliably fill. This is the opening-gap / overnight-jump microstructure cut — distinct from the price, candlestick-pattern, volatility and risk APIs in the catalogue. It is what happens between the close and the open.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 228 ms
- Server probes · 24h
- Subscribers
- 4,756
- active
- Total calls
- 4
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 660 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 660 calls/month
- 2 req/sec
- All endpoints
- No credit card
Starter
€11.00 /month
- 14,900 calls / month
- 6 requests / second
- Hard cap (429 above quota, no overage)
- 14.9k calls/month
- 6 req/sec
- All metrics & classes
- Email support
Pro
€36.20 /month
- 82,500 calls / month
- 16 requests / second
- Hard cap (429 above quota, no overage)
- 82.5k calls/month
- 16 req/sec
- Priority support
Mega
€83.00 /month
- 470,000 calls / month
- 40 requests / second
- Hard cap (429 above quota, no overage)
- 470k calls/month
- 40 req/sec
- Dedicated SLA
Built by
Related APIs
Other APIs with overlapping tags.
Relative Volume (RVOL) API
Which markets are trading on abnormal volume right now — the first scan a day-trader runs to find what is "in play" — computed live from Yahoo Finance daily volume, no key, nothing stored. Price tells you where a market is; volume tells you whether anyone cares. A stock drifting on half its normal volume is noise; the same stock on three times its average is a market reacting to something — earnings, news, a breakout — and that is where the opportunity and the risk live. Relative volume (RVOL) is today's volume divided by its recent average: 1.0 is a normal day, 2.0 is double, and anything above signals unusual participation. For each instrument this API returns today's volume, its 20- and 50-day average volume, the RVOL against each, where today's volume sits as a percentile of the window, the dollar (notional) volume for liquidity, and whether volume is trending up or down. The asset endpoint returns one instrument's full volume profile; the screener endpoint ranks the universe by RVOL, putting the names trading on the most unusual volume — the ones in play — at the top. This is the relative-volume / unusual-activity cut — distinct from the bring-your-own-series volume-indicator tools (OBV, MFI), the crypto volume-by-price profile, the order-flow tape and the price APIs. It is the volume that is out of the ordinary.
api.oanor.com/rvol-api
Crypto Trade Size Distribution API
Who is actually trading a pair — retail or whales — read from the composition of Binance's aggregated trade tape by trade size, no key, nothing stored. Order flow tells you the net direction; this tells you the size profile behind it: whether a move is driven by a swarm of small retail prints or a handful of large institutional ones, often the more important signal. The distribution endpoint scans the recent aggregated trades for a pair and buckets them into size cohorts (micro under $1k, retail $1k-$10k, mid $10k-$100k, whale over $100k), returning each cohort's trade count, volume in base and quote and its share of total volume, plus the whale-volume share — the single read on how institutional the flow is. The percentiles endpoint returns the trade-size percentiles (p50, p90, p99) and the average, median and largest trade. The symbols endpoint lists tradable pairs. This is the trade-size composition / participant-mix analytics cut for crypto — distinct from the order-flow / CVD API (which measures buy-versus-sell direction), the order-book depth, the slippage and the price APIs in the catalogue. Pairs are Binance symbols (BTCUSDT) or a coin=BTC"e=USDT form.
api.oanor.com/tradesize-api
Crypto Order Flow & CVD API
Who is actually hitting the market — buyers or sellers — read live from Binance's aggregated trade tape, no key, nothing stored. Every trade carries a flag for which side was the aggressor: a taker buy lifts the ask, a taker sell hits the bid. Summing those over a window gives order flow — the net buying or selling pressure that price action follows — and its running total is the Cumulative Volume Delta (CVD), the metric order-flow traders watch to spot absorption and divergence. The flow endpoint scans the recent aggregated trades for a pair (up to 5,000) and returns the taker-buy and taker-sell volume in base and quote, the delta (buy minus sell), the CVD over the window, the buy/sell ratio, the share of volume that was buying, a net-pressure label and the time span covered. The large endpoint surfaces the big prints — single aggressive trades above a notional threshold — and tags each as a taker buy or sell, so you see the whale orders moving the tape, with the buy- and sell-side large-trade totals. The symbols endpoint lists tradable pairs. This is the trade-flow / CVD microstructure analytics cut for crypto — distinct from the raw recent-trades feed, the order-book depth and the price, ticker and slippage APIs in the catalogue. Pairs are Binance symbols (BTCUSDT) or a coin=BTC"e=USDT form.
api.oanor.com/orderflow-api
Variance Ratio Test API
A formal statistical test of whether a market follows a random walk, or whether its returns carry tradeable momentum or mean-reversion that is real rather than noise — the Lo-MacKinlay variance ratio test, computed live from Yahoo Finance daily closes, no key, nothing stored. Most persistence tools give you a single descriptive number; this gives you a hypothesis test with a verdict. The variance ratio compares the variance of multi-day returns to the variance of one-day returns scaled up: under a true random walk the ratio is 1 at every horizon. A ratio above 1 means returns positively autocorrelate (trends persist — momentum); below 1 means they reverse (mean-reversion). Crucially it attaches a heteroskedasticity-robust z-statistic and a p-value at each horizon, so you know whether the deviation from a random walk is statistically significant or just sampling noise — the thing a point estimate cannot tell you. The asset endpoint runs the test at horizons of 2, 4, 8 and 16 days and returns each ratio, z-statistic, p-value and a reject/fail-to-reject verdict, plus an overall read. The screener endpoint ranks the cross-asset universe by their 2-day variance ratio, separating the statistically momentum-like markets from the mean-reverting ones. This is the random-walk hypothesis-test cut — distinct from the Hurst-exponent regime API (a point estimate with no significance), the momentum and the price APIs. It is the test, with the p-value attached.
api.oanor.com/varianceratio-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Opening Gap Statistics API?
What's the rate limit for Opening Gap Statistics API?
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Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/gapstats-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/gapstats-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/gapstats-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/gapstats-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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