Find the traders worth following. Test before you copy.
Paste any Hyperliquid wallet to analyze performance, risk, trading behavior, and what would have happened if you copied it.
See what's actually working — not just who's loud.
Every wallet you analyze gets a full report card: realized PnL, win rate, drawdown, behavior, risk flags, and a transparent score that explains why.
- Cumulative equity curve and PnL by market.
- Trading behavior — hold times, leverage, long/short bias.
- Risk flags for high leverage, low sample size, and concentration.
What if you had copied this wallet?
Pick a starting balance and date range. We replay every fill, apply your copy mode and filters, and show the equity curve you would have lived through.
- Fixed-size or proportional copy modes.
- Optional filters — markets, direction, size threshold.
- Plain-English summary explaining what drove the result.
“If you copied this wallet with $1,000 starting Jan 1, the simulation ends at $4,820 — a +382% return. However, 67% of gains came from two trades and the max drawdown was -31%, so this wallet may be profitable but difficult to copy safely.”
A ranked feed of wallets worth your attention.
We score wallets on copyability — not just raw PnL. Consistency, drawdown control, sample size, cadence, and diversity all weigh into the grade.
- Find wallets that perform across regimes, not just in bull runs.
- Compare two wallets side by side.
- Tag your own private watchlists.
Discovery rankings will surface wallets that combine return, consistency, and copyability.
Get pinged when the wallets you watch move.
Open positions, closes, drawdowns, leverage spikes — pushed to Telegram, Discord, or email. Plus a JSON API for builders.
- Configurable thresholds per wallet.
- JSON API for wallet reports, simulations, and rankings.
- Webhook support for your own systems.
Telegram, Discord, and email alerts for the wallets you watch.
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Not financial advice. Historical performance does not guarantee future results. Simulations are based on available historical data and simplified assumptions.