BTC HFT Trader goes big long on ETH — 3.9× its usual size
Added $15M in 12h vs a typical $3.82M; 5–1 over 4 days, unrealized loss −$10.68K.
Price since signal−8.1%2,703 → 2,483 · 7d ago
After 4h / 24h−1.3%24h −0.8%
Funding+0.0013%/hAnnualized +11.0% · Longs pay shorts · Open interest $3.32B · 24h +0.5%
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What this trader did
After the signal: Opened/added 10 times · Reduced/closed 43 times; net change −$2.61M
Position closed after the signal
●Signal at 15:08 · price 2,703
Reduce−$159.58K2,692
Reduce−$701.53K2,692
Reduce−$1.99K2,692
Reduce−$29.82K2,692
Reduce−$3032,691
Reduce−$29.22K2,692
Reduce−$1.56M2,692
Reduce−$3.12M2,693
Reduce−$895.89K2,694
Close−$270.02K2,693
Open+$3.86M2,663
Close−$3.79M2,614
53 total changes; only the nearest before/after-signal changes are shown
Changes are recorded at scan intervals; multiple fills within one interval are combined
Price after signal2,703 → 2,483−8.1%4h return −1.3%24h return −0.8%
Position$14.99M
Side · leverageLong25x Cross
Unrealized PnL−$10.68K
Entry price2,702
Typical trade size$3.82M
Multiple3.9×
Signals cover 579 whale wallets in the engine's tracked pool. Profiles use the Hyperliquid fills available to the engine. · Signals use the public Hyperliquid API. Nicknames describe trading style, not identity; profiles and tags are calculated from available fills. · The fill window is truncated; it uses at most the latest 10000 fills.