#whale-watching

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&quote=USDT form.

api.oanor.com/tradesize-api