How to track a Hyperliquid wallet
Find a Hyperliquid wallet by address and read its positions, PnL, trade history and data coverage without sharing private keys.
WalletFollow resources
Practical guides to wallet tracking, copy trading risk, performance metrics and AI data workflows.
Find a Hyperliquid wallet by address and read its positions, PnL, trade history and data coverage without sharing private keys.
Find large Hyperliquid wallets and distinguish account size, concentrated exposure and useful trading evidence from whale labels.
Understand open positions, fills, partial closes and completed trades when researching a Hyperliquid wallet.
Reconcile wallet PnL by checking dates, cash flows, open positions, fees, funding, account scope and historical coverage.
Learn how timestamps, delayed snapshots, missing fills and coverage warnings affect wallet and copy-portfolio analysis.
Understand what a public wallet address reveals, how to evaluate identity labels and where wallet research should stop.
Understand why total wallet value, perpetual equity, spot holdings, staked assets and withdrawable amounts differ.
Understand who pays funding, why rates change and how funding costs affect perpetual positions and copy-trading comparisons.
Distinguish market-wide open interest, sampled wallet exposure, volume and funding when researching Hyperliquid markets.
Understand valuation prices, executable quotes and why a wallet’s unrealised PnL can differ from a recent trade-based estimate.
Understand the difference between tracking a wallet, subscribing to a copy portfolio and executing trades through a copy engine.
Use coverage, drawdown, trade samples, concentration and execution style to assess a copy-trading candidate beyond headline PnL.
Understand committed capital, portfolio weights, notional exposure and why small allocations can differ from a leader’s trades.
Learn why follower entry prices differ, how order-book depth affects execution and what slippage controls can and cannot do.
Understand effective exposure, cross and isolated margin, dynamic liquidation estimates and the limits of copy-trading safeguards.
Understand how join time, allocation, fees, funding, risk limits and execution cause copy-trading performance to diverge.
Learn the difference between blocking new copy risk, leaving positions unmanaged and requesting a reduce-only close.
Compare leaders by shared markets, direction, correlation and exposure rather than assuming more wallets mean less risk.
Distinguish public wallet research, ownership sign-in, engine agent approval and builder-fee approval before signing.
Read copy-trading costs by basis and status, with a worked notional-fee example and guidance on avoiding double-counting.
Distinguish hypothetical reconstructions, observed portfolio statistics and actual follower fills when reviewing copy portfolios.
Understand how Model Context Protocol connects AI assistants to wallet data, and distinguish the protocol from trading authority.
Build a read-only AI research workflow with WalletFollow’s Data API, catalog, wallet endpoint and usage information.
Use precise prompts for wallet exposure, PnL reconciliation and copy-trader review while keeping evidence and assumptions separate.
Understand WalletFollow Data API authentication, weighted request budgets, errors and how to keep credentials out of AI reports.
Distinguish an AI research summary from an authorized order workflow and understand why tool access does not establish trading authority.
Understand closed trading results, open-position gains and why account performance differs from a simple realized-PnL total.
Understand return denominators, cash flows and why high dollar profit and high percentage return describe different outcomes.
Calculate peak-to-trough loss, understand recovery math and distinguish a configured drawdown pause from a guaranteed loss limit.
Read winning-trade frequency alongside gain and loss sizes, trade grouping, sample size and the effect of open positions.
Create a practical journal that records trade evidence, risk context, thesis, outcomes and missing inputs without rewriting history.
Calculate directional and total exposure, understand offsetting positions and assess concentration across wallets and copy portfolios.