Risk management on a perpetual differs from risk management on a spot portfolio because leverage compresses the timeline for things to go wrong and funding turns holding a position into a continuous cost. A framework built for buy-and-hold investing doesn't transfer directly; it needs position-level controls, portfolio-level limits, and an ongoing accounting for the cost of simply staying in a trade.
A spot holding loses value gradually and can generally be held through a drawdown indefinitely. A leveraged perpetual position has a liquidation price, a specific level at which the position closes involuntarily regardless of whether the underlying thesis eventually proves correct. That single structural difference changes the entire risk conversation: it's no longer just about whether the view is right, but whether the position survives long enough for it to matter, while also accounting for a funding cost that accrues every hour the position stays open, win or lose.
At the level of a single trade, three controls do most of the work: the leverage chosen, which sets the distance to liquidation; the stop-loss distance, which sets the voluntary exit point; and the position size, which converts that stop distance into a specific dollar risk. None of these controls work in isolation, a wide stop with too much leverage can still produce liquidation before the stop triggers, so the leverage used has to leave room for the stop to actually function as the real exit.
Beyond any single trade, a portfolio needs an aggregate limit on how much total exposure sits in one direction at once, and on how much of that exposure is concentrated in correlated assets. A trader who is individually disciplined on every single position can still end up dangerously exposed if five separate, correlated longs each pass their own risk check but collectively represent a much larger directional bet than intended. Setting a cap on total notional exposure catches this kind of exposure that builds up gradually across many small decisions.
The per-asset leverage limits set by a venue are themselves a risk control. On Canborsa, the S&P 500 index caps at 30x, reflecting comparatively low volatility, while the most volatile, thinly traded tokens cap as low as 3x. That spread exists because the same percentage price move happens far more often, and far more sharply, on a volatile token than on a broad index, so a venue-wide leverage cap would either be too loose for volatile assets or too tight for stable ones. Reading the leverage cap on a specific market as an input to the risk assessment folds the venue's own risk tiering into a trader's own framework.
Beyond checking each position against its own stop and liquidation price, it helps to periodically ask what a single large, adverse move across correlated holdings would do to the account as a whole. A portfolio holding several crypto longs at moderate individual leverage can still face a severe combined drawdown if the whole crypto market moves sharply in one session, since the positions that looked independently reasonable move together under stress. Running this kind of scenario, a uniform adverse move applied across every open position at once, surfaces concentration risk that position-by-position review tends to miss.
Posting the full account balance as margin on open positions leaves nothing in reserve if a position needs additional margin to survive a move that the original thesis still supports. Keeping a portion of collateral unposted, available to add to a position under stress, functions as a buffer against being liquidated on a move that later reverses. This is a trade-off against capital efficiency: idle collateral earns nothing while it sits in reserve, which is exactly the cost of the flexibility it provides.
Risk management doesn't end once a position is open. Funding rate shifts change the ongoing cost of holding a position and can signal a change in how the market is positioned; a rising or falling liquidation price relative to current volatility indicates whether the original stop distance still makes sense; and open interest changes on a market can flag when positioning has become more crowded than it was at entry. None of these require constant attention, but a periodic check against the original plan catches drift before it becomes a forced outcome.
A simple weekly review is usually enough to catch most of this drift: checking whether total exposure has grown beyond the intended cap, whether any single position's leverage or size has quietly increased through additions, and whether the correlation assumptions behind the portfolio still hold. Markets that were uncorrelated at the start of a position can become correlated during a systemic event, which is precisely the scenario a periodic review is meant to catch before it turns into a forced, simultaneous unwind across the whole book.
It means combining position-level controls, leverage, stop distance, and size, with portfolio-level limits on total and correlated exposure, plus an ongoing accounting for the funding cost that accrues on every open position every hour.
Position limits are the minimum and maximum notional size, and the maximum leverage, set per market by the venue based on that asset's volatility and liquidity. They cap how large a single position can get and reflect the venue's own risk tiering across different assets.