HyperMirror vs HyperDash

Quick verdict

HyperMirror fits when you want a maintained, diversified basket running unattended, with per-leader isolation and a fee that only touches mirrored volume.

HyperDash may fit better when you enjoy the research, want to pick specific wallets yourself, and value a broad analytics surface over a managed allocation.

Custody and security

This comparison is unusual in that custody is not the main difference. Hyperliquid-native tools generally avoid taking deposits, because the chain gives them a better option: signing permissions that are narrower than ownership. HyperMirror uses that mechanism directly — a trade-only agent approval that can submit orders and nothing else, plus a separate builder-fee approval that grants no trading rights at all.

Because both sit on the same venue, the useful question is not who holds your money but how much you can verify. On Hyperliquid, everything a mirror does is a public fill under your own address, so you can audit the system against the chain rather than against a dashboard the operator renders for you.

• Funds are deposited by you, to your own Hyperliquid account.
• The agent approval cannot sign a withdrawal, a transfer or a change of ownership.
• Revocation happens from your wallet and does not require the operator to cooperate.
• Whatever tool you use, confirm the permission scope in that tool's own documentation before approving.

Fees and incentive alignment

Analytics products are usually sold by subscription: a flat monthly price for access to data and features, independent of whether you trade at all. That is honest and predictable, and it means a quiet month still costs the same as a busy one.

HyperMirror charges 0.1% of mirrored notional volume through Hyperliquid's native builder-fee mechanism. There is no subscription and no profit share. The alignment is imperfect in a specific, disclosable way: volume-based fees reward activity, so a strategy that trades more generates more fee than one that trades less at the same profitability. Profit-share models have the mirror-image problem — they cost nothing in drawdowns but can be expensive in strong periods, and they create an incentive toward variance.

How copying and automation actually work

With a terminal, the loop is human. You screen wallets, judge whether a run is skill or a favourable regime, decide sizing, and then keep watching, because the decision that mattered most is the one you make three months later when performance turns.

With HyperMirror the loop is automated. Public fill history is scored on realized PnL consistency, win rate, profit factor, position discipline and account survivability. Capital is allocated in proportion to score, so the evidence decides the weights rather than an equal split. Each leader trades inside its own sub-account, which is the part that is easy to underrate: without isolation, one leader's long and another's short can quietly cancel inside a single netting account and you end up flat while paying for two positions.

• Starter mode mirrors one leader until mirrored volume reaches $100,000.
• Full mode expands the basket to up to 10 leaders, each with its own sub-account.
• Weights follow composite score, not conviction or equal splits.
• Scoring runs continuously, not as a one-off selection event.

Risk controls and leader failure

Every copy system eventually meets a leader whose edge stops working. The difference is what happens next, and how long it takes. A research-led approach depends on you noticing the change and being willing to act against a wallet you spent time selecting — which is exactly when people hesitate.

HyperMirror handles decay procedurally: thin activity, excess drawdown or weak ROI accrue at most one strike per day, and three strike-days trigger replacement with their sub-account positions closed. Emergencies trigger immediate removal rather than waiting for a scheduled review. Deliberately, the system resists over-rotation — a higher score alone never forces a swap, and churning leaders after a bad week generates cost and tracking error without adding information.

Who should choose which

Choose HyperMirror if: you want diversified Hyperliquid exposure without operating the process, you want per-leader isolation instead of a single netting account, and you prefer a fee that only applies when volume is actually mirrored.

Choose HyperDash if: you want deep analytics and wallet-tracking tooling, you have specific conviction in particular wallets, or you want to design your own allocation rather than accept a scored one.

Limitations, on both sides

Where HyperMirror is limited: Hyperliquid only, so there is no multi-venue coverage; one leader until the $100k volume unlock; isolated sub-accounts fragment margin, which is less capital-efficient than netting; and you cannot hand-pick leaders — the score does.

Where HyperDash is limited: the quality of your result depends on your own selection and monitoring; a subscription is paid whether or not you trade; and a single account means positions can net against each other, muddying attribution.

Methodology, in one paragraph

HyperMirror's side of every row above follows one published rule set. The Elite basket is sticky: a leader stays mirrored until a rule removes them, and a higher-scoring wallet elsewhere never forces a swap. Emergencies — account value below roughly $1,000, or no fill for 96 hours or more combined with zero trades in 7 days — remove a leader immediately. Everything softer accrues at most one strike per wallet per UTC calendar day, with three strike-days triggering replacement and a clean day resetting the counter; drawdown for that test is measured on jump-adjusted equity so deposits and withdrawals are not read as trading losses, and ROI is measured from PnL. The full table is on How it works and in the documentation.

Risk statement

Structure changes which risks you carry, not whether you carry risk. Nothing on this page is a return estimate, a recommendation, or a claim about another provider's results — check any provider's own documentation before deciding.

Past performance is not indicative of future results. Perpetual futures are leveraged instruments and carry a substantial risk of loss, including the loss of your entire position.