Bitcoin Futures Leverage by Position Size

At $1 million of total exposure, the captured Gate schedule allows 125× under the disclosed conservative shared-boundary convention and requires $8,000 of base margin; Hyperliquid’s 40× requires $25,000. The difference is $17,000 of initial collateral for the same dollar exposure. That is a useful capital comparison, but it does not measure order-book execution or account eligibility.

The native-unit products need an additional assumption. OKX and MEXC contract counts are converted using a shared captured BTC reference of $81,643.45. A changed valuation can move a dollar-sized position across those native brackets without any change to the bracket itself. The other five schedules express their bounds directly in dollar-equivalent position value.

This is a fresh seven-provider observation, not an update disguised inside the older eight-provider median. WEEX’s current metadata was collected but did not supply a complete current ladder. Kraken publishes entity- and client-specific schedules that require a separate cohort. Both exclusions remain explicit rather than importing their older results into the new table.

Use the current table for these dated margin observations. The interactive eight-contract comparison below answers the historical September question; its original inputs, download and boundary examples remain unchanged.

Start with the dollar exposure you want to compare, not the cash you plan to deposit. A $1 million position backed by $10,000 represents 100× before costs; a $1 million deposit is a completely different input. The selector below holds exposure constant across eight exact BTC perpetual contracts. It then applies each preserved margin ladder to that same amount.

The useful comparison is within a column. At $1 million, WEEX retains a documented 400× ceiling, MEXC 200× and Gate 125×. Bybit is at 100×, Bitget at 75×, KuCoin about 71.43×, OKX 66.66× and Hyperliquid 40×. Those differences are about the margin required by these captured contracts, not execution quality, withdrawals, eligibility or the odds of a profitable trade.

Select $100 million and the ordering changes sharply: Hyperliquid’s unchanged 40× moves ahead of the other seven contracts. Seven of the eight amounts also exceed a captured single-order cap. Keeping that warning beside the position result makes the practical constraint visible without discarding the underlying margin comparison.

These observations were collected in September and reanalysed on 8 October. The date on the revision does not claim a fresh October exchange-limit check. For an account you intend to use today, the Margin Tier Finder is the separate place to inspect the latest field-level evidence. The historical study remains fixed so its comparisons can be cited and checked.

At the $100,000 checkpoint every member of this cohort still retains its headline ceiling. That makes a smallest-tier comparison look fairly representative at that amount. By $500,000 only three retain their headline number; by $1 million only two do. The relationship breaks down at different sizes, so there is no universal amount above which every exchange becomes restrictive.

A first-tier league table puts MEXC at 500×, WEEX at 400× and Hyperliquid at 40×. Across the seven checkpoints the last of those is the only flat result. This is a rank reversal caused by risk-bracket design, not a discovery that 40× is always preferable. Someone comparing $10,000 contracts and someone comparing $100 million exposures are asking different capacity questions.

The cohort median provides a compact summary without selecting a winner: 150× at $100,000, 100× at $500,000, 87.5× at $1 million, 50× at $10 million and 10× at $100 million. The $1 million median is the midpoint of the fourth and fifth ordered values, 100× and 75×. It is a statistical midpoint; no contract needs to offer exactly 87.5×.

All eight contracts contribute to every displayed median. We do not discard the order-limited records to make the large-position sample look stronger. Nor do we weight the rows by reported volume. This is a comparison of published capacity for specific contracts, with one vote per contract, rather than an estimate of leverage used across the market.

An exact boundary is where a small implementation detail can change a substantial margin result. The preserved Bybit first bracket ends at $300,000 and permits 150×. The documented cap is inclusive: exactly $300,000 stays in that bracket. An amount just above it moves to the next captured bracket, whose maximum is 100×.

Ignoring other charges, $300,000 divided by 150 is $2,000 of initial margin. Moving just beyond the boundary brings the requirement close to $3,000 at 100×. A calculator that applies the next tier at exactly $300,000 would overstate this example by about $1,000. The revision corrects that boundary treatment without inventing a new observation date for the underlying ladder.

A tier can expose both a leverage label and an initial-margin percentage. When those imply different ceilings, choosing only the more generous label understates the required collateral. At $1 million in the preserved KuCoin BTC contract, a 1.4% initial-margin requirement implies $14,000. Dividing the exposure by that margin gives approximately 71.43×.

Using a rounded 75× label alone would suggest about $13,333.33 of margin. The difference is roughly $666.67 before fees. The benchmark therefore takes the most restrictive of the contract maximum, the selected tier maximum and the multiple implied by initial margin. This is a consistency check between two fields about the same position, not an additional discretionary haircut.

The Gate result at $500,000 illustrates the opposite display problem. Its captured rate and tier combination produces approximately 150.01×. Rounding that to 150× is useful for a chart label, but the calculation should keep its underlying precision. Display rounding must not alter the bracket selection or the margin needed to reproduce the result.

Where initial margin is derived from a leverage field rather than independently published, the dataset labels it as derived. It is not a second independent confirmation. Separating published evidence from a calculated reciprocal helps a reader judge whether an apparent agreement between fields actually adds confidence.

Some ladders arrive in native contract units. The OKX BTC-USDT-SWAP inputs use a 0.01 BTC multiplier, with a preserved BTC mark of $77,343.60. One contract therefore represents $773.436 at that reference price. A bracket containing a number of contracts has to be converted before it can be compared with a dollar-denominated position on another venue.

The MEXC inputs use 0.0001 BTC and a $77,350 reference mark: $7.735 per contract. Treating the contract count as BTC would inflate its notional by a factor of 10,000. Treating a notional quantity as an order count would introduce a different error. The native unit, multiplier, price field and price timestamp are retained with each normalized row.

These converted dollar boundaries are sensitive to BTC price. Keeping the native contract threshold constant while changing the reference mark changes its dollar equivalent. Updating only the mark in a supposedly frozen report would shift the study without a new edition. That is why this report preserves the September marks alongside the September ladders.

A higher current BTC price would not prove that an exchange had relaxed its native contract limit. It could simply increase the dollar value of the same quantity. When comparing two editions, separate a changed exchange rule from a changed conversion price before describing the movement as more or less leverage capacity.

The reviewed WEEX ladder supports a $100 million total position at a 5× margin ceiling. Its separately documented maximum order was 1,200 BTC. At the preserved $77,349.70 reference price, that order cap converts to $92,819,640. The study can therefore show a valid position-bracket result and an order-limit warning at the same time.

Those are compatible findings. A position limit describes how much exposure the account or contract may support under its risk rules. An order limit describes the largest individual instruction accepted under the captured order constraint. Splitting an order does not raise the margin ceiling for the resulting total position, and a supported total position does not override a per-order cap.

The data does not establish that splitting this example would actually fill, or that an account would be permitted to accumulate it. Available depth, risk checks, active orders and account-specific restrictions remain outside the published-tier calculation. The benchmark makes no execution claim from the presence of a margin bracket.

At $10 million, MEXC is the only row carrying the captured order-limit flag. At $100 million there are seven flagged rows. The flags describe this study’s preserved limits, not a current rejection log. We did not submit those orders. For the effect of visible depth on an order, use the separate execution study rather than reading a margin table as a liquidity ranking.

The checkpoint is the resulting exposure, not automatically the next order ticket. Suppose a reader already has $250,000 of BTC exposure and considers an additional $100,000 in the same direction. A comparison based only on the new order would inspect the $100,000 bracket. The resulting $350,000 exposure is the relevant starting point for a position-capacity check, before the venue’s treatment of active orders is applied.

Using the preserved Bybit ladder, that example crosses the $300,000 first-tier cap. It therefore belongs to the 100× bracket rather than the first bracket’s 150× ceiling. At the simplified position level, $350,000 divided by 100 is $3,500 of initial margin. The $100,000 ticket itself does not keep the combined position within the smaller risk tier.

Active orders can also count before they execute. Bybit’s documented calculation considers positions and applicable open orders on each side; orders marked to reduce exposure receive different treatment. The benchmark has no live account order list, so it does not attempt that account-specific aggregation. The comparison remains useful after the reader has identified the appropriate effective exposure.

A move in BTC price can change that exposure even without another order. A fixed token quantity becomes a larger dollar position as the mark rises. This is different from a contract-count ladder being revalued for comparison: in an actual account, the changing position value may itself bring a different risk bracket into play. The frozen study holds its inputs constant to isolate venue rules, while the operational check must use the account’s current values.

The rows identify the margin mode represented by the source. That matters because a contract-level ceiling is not the same as an account’s available buying power. Cross margin can share collateral across positions; isolated margin assigns collateral to an individual position. Neither description by itself tells us how much unused margin a specific account has.

We do not simulate offsets between BTC and other assets, collateral haircuts, unrealized gains in another contract, portfolio-margin stress tests or liabilities elsewhere in an account. Those features can change available capacity without changing the published BTC bracket. Adding them without account-level inputs would make the study more elaborate but less defensible.

Initial margin is also not the liquidation threshold. Maintenance margin, maintenance deductions, fees and the venue’s calculation price are needed for that separate question. The margin shown here supports the ceiling comparison; it should not be read as a recommendation to fund an account with exactly that amount or as a promise of a particular liquidation distance.

Eligibility adds another independent constraint. A technically supported contract may not be offered to a reader’s jurisdiction or account category. This report does not use geographic permission as a ranking variable. Keeping it out of the numeric score prevents a published global contract limit from being presented as local product access.

The preserved source collection requested ten providers, but only eight had sufficient margin inputs for this study. Binance and Kraken were excluded because the relevant captured BTC records did not contain a usable normalized ladder. Assigning them zero leverage would turn missing research into a negative product claim.

A later contract collection can include a ladder that was unavailable in this historical input set. In particular, the broader contract statistics and this BTC study do not share an observation date or an identical completeness rule. A provider appearing in one and absent in the other is not automatically a contradiction; the source cohort and exclusion reason explain the difference.

The downloadable edition includes all eight rows, the two exclusions, the seven checkpoint results and the underlying preserved inputs. A reader can recalculate the medians, inspect the unit conversions and identify the order-limited cells. The manifest fixes the files to this revision so later work cannot silently change a cited result.

For a new comparison, update the source inputs as a new edition and run the same checks again. Do not append fresh venue values into one old column. A mixed-date table can still be useful if openly labelled, but it cannot answer a clean claim that all providers offered these limits at the same moment.