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sort_by metric. Returns multi-window PnL, volume, and win-rate per address. Useful as the discovery step before drilling in with whaleContext or accountState.
Weight: 10
Request
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
symbol | string | No | — | Empty / omitted → scan all symbols |
sort_by | string | No | "notional" | One of notional, volume_24h, volume_7d, volume_30d, pnl_24h, pnl_7d, pnl_30d, trade_count_24h |
min_notional | decimal | No | 0 | Minimum total notional to include |
limit | int | No | 50 | 1..200 |
cursor | string | No | — | Opaque cursor |
Response
| Field | Type | Notes |
|---|---|---|
pnl_24h, volume_24h, trade_count_24h, win_rate_24h | mixed | Rolling 24h (now − 24h .. now) |
pnl_7d, pnl_30d, volume_7d, volume_30d | string | Calendar windows: today’s real-time stats plus the prior N − 1 days of UTC-day-aligned history |
win_rate_7d, win_rate_30d | double | null | null if the historical data source is unavailable |
avg_trade_size | string | null | volume_24h / trade_count_24h; null when count is 0 |
last_updated_time | int64 | ms epoch when the cached snapshot was built; constant across all calls within the same cache window |
Notes
- 30-minute cache keyed by
(symbol, sort_by, min_notional). Per-row PnL and win-rate enrichment for the top 200 users is computed inside the cache, so all callers within the window see identical results - Compute staleness via
now − last_updated_time(≤ 30 min by construction) - If the historical data source is unavailable, the snapshot is still served — 7d / 30d win-rate fields fall back to
null