1
A year of ground truth — not API snapshots
Most platforms show you the exit. We show what the trader lived through.
A whale position is rarely one order. It is built through hundreds of scale-in fills, sometimes over weeks. We reconstruct the position as a single trade across its entire life cycle and compute the actual unrealized drawdown inside that trade — the number that tells you whether the trader was skilled or just survived.
- Full position reconstruction from raw fills — not aggregated terminal metrics
- In-trade (HiLo) drawdown per position
- Avoided-loss and missed-profit analysis
In one lineOver a billion fills reconstructed into whole trades — we show the drawdown the trader lived through, not just the exit they posted.
2
Wallet grading that means something
Leaderboards rank yesterday's PnL. We grade risk.
Most leaderboards are outdated, risk-blind, or both. Our AI wallet grade (A+ to F) reads like a fund manager review: win rate and profit factor in context, NAV and in-trade drawdown, position sizing discipline, avoided loss vs missed profit, and market timing efficiency — delivered as a full analyst report, not a sortable column. Wallets graded F/C are blocked from auto-trade.
- Executive summary + risk assessment table
- Market breakdown and entry/exit efficiency
- Grade is a safety gate, not decoration
In one lineA leaderboard tells you who won last week. Our AI grade tells you who deserves your capital — and blocks the wallets that don't.
3
One token, one trade — noise filtered
A position is a story, not a stream of fills.
Other platforms throw hundreds of raw prints at you — fragments of the same order, milliseconds apart. We present a token as a single trade, even if the position runs an entire quarter. Fills within the same second are bundled; every action is classified as increase, decrease, or reversal. You see intent, not noise.
- Sub-second fill bundling
- Position life cycle from open to close
- Three months of activity reads as one coherent trade
In one lineWe don't show you 300 fills. We show you one trade — and whether each move grew it, cut it, or flipped it.
4
Backtest the TP/SL before you copy
A grade is not a trade plan. Run the window first.
Before you subscribe or follow a wallet, ask what would have happened if our engine had mirrored its entries with your take-profit and stop-loss. The copy backtest replays equal-size (or sized) entries against Hyperliquid history, shows cumulative PnL, win rate, and Long/Short breakdown — the same TP/SL logic you set on Auto-Trade. Save strong runs to comments so the advisor can surface them later.
- What-if copy simulation on any board or dashboard wallet
- Same TP/SL framing as live Auto-Trade risk presets
- Cumulative PnL, win rate, and save-to-comments for later review
In one lineDon't guess the exits — backtest the TP/SL window on that wallet before you put capital behind the mirror.
5
Auto-trading built for retail reality
Whales trade in a hundred fills. You trade once.
High-frequency whales are un-copyable by brute force — their sizes, fees, and fill counts are nothing like a retail account. Our engine detects when a whale is genuinely adding exposure, filters the micro-trades you cannot economically duplicate, and gives you one clean entry with suggested take-profit and stop-loss levels.
- Exposure expansion only — not internal churn
- Works even when the tracked wallet trades at high frequency
- A handful of realistic trades instead of an unexecutable firehose
In one lineWhales trade in a hundred fills. You trade once — at the moment they add exposure, with TP and SL already suggested.