Built exclusively for Hyperliquid: analyze markets, identify durable traders, and create risk-controlled paper plans before committing capital.
Public beta · No private keys · Read-only public data · Paper execution
Every entry point states what goes in, what comes out, and where execution currently stops.
Read public fills and positions to find addresses whose actual trading behavior is more reproducible.
Enter a market, capital, and risk preference to generate an inspectable paper trading plan.
Long-term candidates must pass profitability, drawdown, sample, and behavior-stability checks at the same time. We leave slots empty instead of lowering standards to fill a top three.
View durable copy candidates↗Minimum operating history
Consecutive behavior windows
Behavior stability score
Profitable-period consistency
Top-three profit concentration
All-time maximum drawdown
Candidates are rechecked continuously and leave the list if behavior drifts, drawdown expands, or cumulative PnL turns negative.
Inspect the evidence, define the risk, then decide whether to continue.
Explore AI strategy ideas or compare Hyperliquid addresses screened by actual behavior.
Set capital, total stop, per-position cap, slippage, and leverage limits.
Observe triggers and execution outcomes. No live orders are sent before wallet signing is available.
Research, paper simulation, and live execution are separate layers. Stale data, weak samples, or breached limits pause a plan instead of forcing an order.
Clear answers on product status, data methods, and risk boundaries.
A Hyperliquid-only AI strategy research and behavior-based copy trading platform. You can study trader addresses, inspect real behavior, and create risk-controlled paper plans.
Public vault rankings, behavior-based strategy groups, long-term candidates, the AI strategy lab, and paper copy plans are available. Wallet signing and live automated execution are not yet open.
The engine checks operating history, cumulative PnL, drawdown, consecutive trading windows, profit consistency, profit concentration, and behavior stability. Missing a critical gate keeps an address off the list.
Focusing on one venue lets public data, execution friction, funding, and risk rules share one standard, making rankings and paper results more comparable.
No. The current product reads public data and creates paper plans. Any future live trade should require an explicit signature in your own wallet.
No. Historical performance, backtests, and AI analysis do not predict future results. HyperCopy provides research, screening, simulation, and risk tools—not principal protection or return guarantees.
The system never lowers its gates to fill a list. If fewer than three addresses pass the 180-day sample, drawdown, and behavior-stability checks, the open slots remain empty.
Start with durable trader candidates or build your first AI paper strategy.