Best DEXs for perpetual futures trading

Hyperliquid and Aster: two order-book workflows

Hyperliquid lists base perpetual fees of 0.015% maker and 0.045% taker. Volume, staking and HIP-3 markets can change the applicable schedule. The established funding route uses USDC on Arbitrum and ETH for gas, rather than an arbitrary network balance. Market, limit, TWAP and TP/SL support different entry and exit plans.

Aster Pro lists 0% maker and initial 0.04% taker for Crypto General, while Group B uses 0.1% taker and RWA remains separate. Its documented email account uses USDT on Arbitrum One; spot follows another funding path. If you already hold USDT, compare that entry without assuming a deposit funds every product. Hyperliquid vs Aster expands the order, cost and margin comparison.

Hypothetical example: a 1,000-notional taker fill at those base rates costs 0.45 on Hyperliquid and 0.40 on Aster General. This is not a complete budget: settlement asset, selected market, average fill and exit costs matter too. A crossing limit order can still be taker, and closing involves a separate execution calculation.

Lighter and Variational: put zero in context

Lighter Standard charges 0% maker/taker for regular spot and perpetual instructions, but TWAP, advanced orders and RFQ cost 0.01%. Premium/Advanced and Plus have different pricing and latency settings. Standard deserves attention for manual trading; automation may make limits and account settings more important. Hyperliquid vs Lighter provides a like-for-like example.

Variational Omni charges no trading commission, but quotes include a spread and OLP acts as its market maker. This is not an identical order-book price-formation process. Its schedule lists $0.10 per deposit and withdrawal. Small balances should account for both transfers; larger trades should compare executable quotes for the full size rather than indicative prices.

Neither model removes funding or adverse market movement. If the plan is to hold exposure, estimate its duration and examine actual payments. The funding guide explains direction, notional and intervals without turning a snapshot rate into a promise.

GMX: compare exposure, collateral and liquidity usage

GMX provides pool-based perpetuals with oracle pricing. Regular position fees are 0.04% when reducing open-interest imbalance and 0.06% when increasing it, with market exceptions. Opening and closing can use different conditions; this is not choosing maker or taker. Funding, borrowing and relevant execution charges also belong in the comparison.

Collateral and network choice are part of the product. Cross-chain funding into GMX Account does not place every market on every funding network. Different collateral also introduces its own value exposure. Aster vs GMX explains order-book versus pool execution, including exiting and releasing collateral.

Build a comparison you can actually use

Start with the same contract and notional. Record collateral currency, the cost of funding from your wallet, order type and exit cost. Then add holding costs over the intended period and an adverse-price scenario. Separate lines prevent a small taker-rate difference from hiding a more expensive conversion or transfer.

The Hyperliquid and Aster walkthroughs cover deposits, orders and position management. For exchanging one token into another to hold, consult swap DEXs. The HYPE and ASTER buying guides address token ownership rather than leveraged exposure.

Before funding: test the complete route

For a first test, identify the balance receiving the deposit, prepare a small instruction and inspect how unfilled orders are cancelled. Then check withdrawing available funds. This sequence can reveal the wrong network, different collateral or an outstanding instruction before increasing size. Deposit, order and withdrawal minimums need not be identical.

Record notional, collateral, execution fees and periodic payments. After closing, compare the result with that budget without attributing every difference to trading fees. Price movement, collateral valuation and conversions may explain a substantial part of the outcome. Prefer a workflow you can repeat and verify over a striking headline number.