#contrarian

How crypto's biggest, most-capitalised futures traders are positioned versus the retail crowd — and the divergence between them — computed live from Binance's public futures positioning feed (no key, nothing stored). Binance splits its perpetual traders into the whole crowd and the "top traders" (the top ~20% of accounts by margin balance, a smart-money proxy) and publishes the long/short split of each. When smart money leans one way while the crowd leans the other, that gap is a classic contrarian signal: an over-long retail crowd the big accounts are quietly fading often marks a local top, and vice versa. The positioning endpoint returns, for a coin, the long/short ratio and long-share of three cohorts side by side — the global crowd, the top traders by account, and the top traders by position size. The divergence endpoint returns the smart-money-minus-retail gap with a plain-language read. The history endpoint returns the time-series across 5m to 1d buckets so you can watch the gap open and close. The smart-money-versus-retail / positioning-divergence cut for crypto — distinct from the single-cohort long/short-ratio feed, the funding-rate, open-interest and price APIs. It tells you who is on which side, not just how many are long.

api.oanor.com/smartmoney-api