HyperMirror vs Hyperbot

Quick verdict

HyperMirror fits when you want a maintained allocation across several proven leaders and no operational surface of your own.

Hyperbot may fit better when you want control over the trading logic itself and are willing to own its configuration and failure modes.

Custody and security

Automation products differ most in how they get permission to trade. There are three broad mechanisms, and they are not equivalent: an on-chain agent approval whose scope is enforced by the venue, an exchange API key whose scope depends on settings and on the operator asking honestly, and a deposit into the operator's control, which is custody however it is labelled.

HyperMirror uses the first: a trade-only agent approval, plus a separate builder-fee approval that grants no trading rights. Nothing in that pair can sign a withdrawal, a transfer or a change of ownership, and you can revoke from your own wallet without the operator's involvement.

Where a provider's public documentation does not state custody, permission scope or fee mechanics unambiguously, treat it as unknown rather than favourable, and verify it in that provider's own docs before approving anything.

• Ask which of the three mechanisms a bot uses before funding anything.
• An on-chain permission is enforced by the venue rather than by the operator's policy.
• Self-hosting removes operator custody risk but transfers key handling to you.
• HyperMirror never holds funds and cannot move them.

Fees and incentive alignment

HyperMirror charges 0.1% of mirrored notional volume through the native builder-fee mechanism, bounded by a maximum rate you sign. No subscription, no profit share. Hyperliquid's own trading fees, spread, slippage and funding are separate and real regardless of which system you use.

Bots are commonly sold by subscription or licence, sometimes with a free self-hosted tier where your cost is infrastructure and time instead of a fee. Both models are legitimate; the difference is what a quiet month costs and whether the provider's revenue depends on you trading. We do not quote other providers' prices because they change and we cannot verify them for you.

How copying and automation actually work

With a bot, you are the strategist. The parameters that decide the outcome — entry conditions, markets, leverage, sizing, stops — are yours, and so are the failure modes: a rule that worked in one volatility regime, a fill assumption that does not hold when the book thins, an alert you did not wire up. Good execution amplifies whatever logic it is given, in both directions.

HyperMirror scores public Hyperliquid fill history on realized PnL consistency, win rate, profit factor, position discipline and account survivability, requires floors to be cleared before a trader is eligible, then allocates in proportion to score. Each leader trades inside its own sub-account. That isolation matters concretely, because Hyperliquid nets positions within an account: without it, two leaders on opposite sides cancel, leaving you flat while paying for both legs and unable to attribute anything.

• Starter mode: one scored leader until $100,000 of mirrored volume.
• Full mode: up to 10 leaders, each in its own isolated sub-account.
• Score-weighted allocation instead of equal splits or discretion.
• Hosted — no server, no key management, no configuration to get wrong.

Risk controls and leader failure

A bot's equivalent of leader failure is strategy decay, and it is harder to detect, because there is no external record telling you the logic has stopped working. You are reading your own PnL and deciding whether the sample is long enough to mean anything. Most people either intervene too early or, more expensively, too late.

HyperMirror externalises the signal. Leader scores are recomputed continuously from public data; soft issues such as thin activity, excess drawdown or weak ROI accrue at most one strike per day, and three strike-days trigger replacement with the sub-account's positions closed. Emergencies bypass strikes and trigger removal on detection. The design also resists over-rotation on purpose — a higher score alone never forces a swap, and replacing a leader after one bad week costs money and adds tracking error without adding information.

Neither approach removes market risk. Leverage, gaps, liquidation cascades and funding regimes hit automated systems exactly as hard as manual ones.

Who should choose which

Choose HyperMirror if: you want a maintained allocation across several independent decision-makers, you want per-leader isolation and hosted execution, and you would rather not own configuration, uptime or key handling.

Choose Hyperbot if: you want to express your own strategy rather than follow others, you want parameter-level control over execution, and you are comfortable operating and maintaining the system yourself.

Limitations, on both sides

Where HyperMirror is limited: no custom strategy logic — you cannot change how leaders trade; Hyperliquid only; one leader until the $100k volume unlock; and margin fragmented across sub-accounts is less capital-efficient than netting.

Where Hyperbot is limited: you supply the edge, and configuration mistakes cost real money; operational burden is continuous — uptime, keys, updates, monitoring; a single account nets strategies together; and permission scope and custody must be verified rather than assumed.

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.