KILLED · execution mismatch
Hypothesis
Top-PnL Hyperliquid traders publish every position on-chain (HL's order book is fully transparent). Mirroring their entries to Binance USDT-M futures should capture a fraction of their edge — particularly on majors (BTC, ETH, SOL) where slippage is minimal.
Method
Identify top-20 wallets by 30-day PnL on HL. WebSocket listen to their position changes. When a tracked wallet opens a position above $100K notional, fire a mirroring order on Binance same coin, same side.
Why it failed in practice
- Latency mismatch: HL whale fills are typically maker-limit at deep liquidity. Any follower with public-API latency enters 0.3-1.5% worse than the originator on average.
- Position duration mismatch: Whales hold hours-to-days with average DCA-in over multiple fills. Our single-shot mirror catches only the entry tip, exits poorly.
- Wallet attribution: Same person operates multiple wallets. Composite NET exposure ≠ individual wallet signal.
- Selection bias: "Top 30-day PnL" includes survivorship + recency bias. Wallets fall off the leaderboard the moment they have a drawdown.
- Reverse-MEV risk: When public HL whale wallets are watched, they sometimes intentionally fake entries to trap copy-traders.
Tested in earlier sessions, failed. Hard rule established: never re-propose HL wallet-copy strategies regardless of who suggests them. Architecture flaw, not parameter flaw.
Transparent doesn't mean tradeable. Public information that requires faster execution than the originator already has zero edge for slower followers.