Hyperliquid whale tracking
What public Hyperliquid positions can and cannot tell you: liquidation distance, crowding, track records, copy fills and a review routine for whale alerts.
Start with part 1- PART 1 / FIELD GUIDE
Hyperliquid Whale Tracking: What Public Positions Can and Cannot Tell You
Hyperliquid exposes positions by address. Learn what a whale tracker can read from that record, how a top-trader list is chosen, and which conclusions the data cannot support.
8분 소요 ↗ - PART 2 / MECHANICS GUIDE
Whale Liquidation Distance: Reading the Radar Without Treating It as a Target
How a whale tracker measures the gap between price and a large position's liquidation price, why cross-margin thresholds move, and what a near-liquidation alert can and cannot say.
8분 소요 ↗ - PART 3 / RESEARCH GUIDE
Whale Consensus and Crowding: When Top Traders Lean the Same Way
Net versus gross positioning, flips, large net changes and crowded adds among tracked Hyperliquid traders, and why a crowded side describes positioning rather than timing.
7분 소요 ↗ - PART 4 / EVALUATION GUIDE
Whale Scorecards: Hit Rates, Survivorship and Why a Ranked List Flatters Itself
How a top-trader scorecard is built from detected entries, what a 24-hour hit rate measures, and why ranking by recent profit can make past results look stronger than what follows.
7분 소요 ↗ - PART 5 / SIMULATION GUIDE
Paper-Copying a Whale: Why Your Fills Won't Match Theirs
How a simulated whale copy scales positions by account size, which costs and delays it models, and why a paper result is not evidence that a live follower would earn the same.
8분 소요 ↗ - PART 6 / WORKFLOW GUIDE
A Whale-Alert Research Routine in Telegram
Set whale-alert filters before the first alert, record each alert before looking at the chart, and review outcomes at fixed horizons so alerts become questions rather than orders.
8분 소요 ↗
Public positions of top Hyperliquid traders, with liquidation radar and positioning changes, in Telegram /whales and on the Whale Board. Third-party positions, not a copy-trading recommendation.
See how it works