What leverage to use on a perpetual futures grid bot

Leverage on a grid bot does two things: it increases the notional order size per level, which increases income per round trip, and it brings the liquidation price closer to the current price. The right leverage is not as high as possible — it is the highest level at which the liquidation price stays safely below the grid range for the entire duration of the trade.

What leverage actually does to a grid bot

With $10,000 capital and 1× leverage, the total notional you can deploy is $10,000. At 5× leverage it is $50,000. This affects both sides of the trade: larger notional means more income per fill, but it also means more funding drag on open positions and a liquidation price that is proportionally closer to the current price.

Unlike a simple directional trade — where leverage has a clear and direct effect on liquidation distance — a grid bot's effective leverage changes as the trade progresses. As orders fill and the open position grows, the account's leverage exposure increases even if the setting hasn't changed. A grid bot set to 3× leverage that has filled half its orders may be carrying effective exposure closer to 5× or 6× on the deployed capital.

The range-to-leverage relationship

The single most important constraint is that the liquidation price must sit below the grid range (for a long grid) or above it (for a short grid) with meaningful buffer. If the liquidation price is inside the range, the bot will be liquidated before it finishes its job.

The minimum distance from entry to liquidation is approximately 1 / leverage as a fraction of price. At 10× leverage, liquidation is roughly 10% below the average entry. At 5× it is 20% below. At 2× it is 50% below.

Safe leverage formula (conservative):

  Max leverage = 1 / (range bottom distance from entry + safety buffer)

Example:
  Entry price:     $100,000
  Range bottom:    $90,000  (10% below entry)
  Safety buffer:   5%       (extra margin below range)

  Required liq distance = 10% + 5% = 15% below entry
  Max leverage = 1 / 0.15 = 6.7×

  → Use 5× or lower to stay safely within the limit.

Tighter range ($95,000 bottom, 5% below entry):
  Required distance = 5% + 5% = 10%
  Max leverage = 1 / 0.10 = 10×

  → Technically allows 10×, but leaves no margin for error
    on a fully filled long book.

How income scales with leverage

Income per round trip scales linearly with notional size, which scales linearly with leverage — but only up to the point where leverage forces a range compromise. If you need to narrow the range to accommodate higher leverage without hitting the liquidation floor, fill frequency drops and total income may not improve.

Funding drag scales with leverage too

Funding is paid on notional value, not on capital. A 5× leveraged position pays 5× the funding of an unlevered position on the same capital. At 0.01% per 8 hours on a $50,000 notional, that is $5 every 8 hours — $450 per month — on a $10,000 capital base. At 10× it doubles again. Leverage amplifies funding drag at exactly the same rate it amplifies income.

In a high-positive-funding environment, high leverage on a long grid can turn what looks like a profitable setup into a net loser. The simulator accounts for this in the Monte Carlo output — compare the "Gross grid income" and "Funding paid" breakdown across leverage settings before deciding.

Practical starting points

Conservative (first deployment, wide range):
  Leverage:   1× – 2×
  Rationale:  Liquidation risk is negligible; focus on
              understanding grid mechanics without risk

Standard (experienced, moderate range):
  Leverage:   3× – 5×
  Rationale:  Meaningful income uplift; liquidation
              distance still manageable with a 15–20% range

Aggressive (tight range, high vol regime):
  Leverage:   5× – 10×
  Rationale:  High income per fill; liquidation distance
              is thin — requires precise range sizing and
              active monitoring
  Warning:    Regime change can liquidate within hours