Leverage & Position Sizing

How leverage multiplies both returns and drawdowns, and why 2x leverage is not twice as good.

Leverage & Position Sizing

Leverage lets you control a larger position than your capital would normally allow. If you have $10,000 and use 3x leverage, your trades behave as if you had $30,000. When the trade goes your way, the gains are three times larger. When it goes against you, the losses are three times larger too.

This article explains how leverage works in a backtest, why higher leverage does not automatically mean better results, and how Simula's multi-leverage comparison helps you see the tradeoffs clearly.

How Leverage Works

At 1x (no leverage), your returns match the price movement exactly. If the price moves up 2%, you gain 2%. If it drops 2%, you lose 2%.

At 2x leverage, every price movement is doubled. A 2% gain becomes 4%. A 2% loss becomes 4%. At 3x, everything is tripled. The math is straightforward multiplication -- the percentage move in the underlying asset is multiplied by the leverage factor.

Simula supports leverage from 1x up to 500x. The platform offers preset levels at 1x, 2x, 3x, 5x, and 10x, and you can enter any custom value within the range.

Leverage is symmetric

A common misconception is that leverage makes a strategy better by amplifying gains. It amplifies everything -- gains, losses, and drawdowns. A strategy that has a 15% max drawdown at 1x will have roughly a 45% max drawdown at 3x. The return might look better, but the ride getting there is three times more painful.

Leverage and Risk

Leverage does not change whether a strategy is good or bad. It scales the outcome in both directions. This has several consequences that are easy to underestimate.

Drawdowns Scale with Leverage

If a strategy drops 10% from its peak at 1x, that same drop becomes 20% at 2x, 30% at 3x, and 50% at 5x. At higher leverage, drawdowns that were uncomfortable become account- threatening. A 33% drawdown at 1x is survivable. The same trade sequence at 3x produces a 99% drawdown -- the account is effectively wiped out.

Wipeout Risk

With enough leverage, a single bad stretch can reduce the account to zero. If a trade moves against you by more than 100% divided by the leverage factor, the entire account is gone. At 10x leverage, a 10% adverse move wipes out the account. At 50x, it only takes 2%.

Simula models this realistically. When leveraged losses exceed the account balance, the equity is set to zero -- the account is liquidated. This is visible in the equity curve and in the final results.

Risk-Adjusted Metrics Change

Metrics like the Sharpe ratio and Sortino ratio account for volatility. Because leverage increases both returns and volatility, the risk-adjusted ratios do not scale linearly with leverage. A strategy with a Sharpe ratio of 1.5 at 1x will not have a Sharpe of 3.0 at 2x. In fact, the Sharpe ratio may stay similar or even decline at higher leverage because the volatility increase partially or fully offsets the return increase.

Leverage reveals fragility

Running a strategy at multiple leverage levels is a useful stress test. If the results look reasonable at 1x and 2x but fall apart at 3x or 5x, the strategy has thin margins. The underlying edge is too small to absorb the amplified volatility. A robust strategy should degrade gradually as leverage increases, not collapse suddenly.

Multi-Leverage Comparison

Simula lets you test a strategy at multiple leverage levels in a single backtest run. Instead of running separate backtests at 1x, 2x, and 3x, you select all three and the engine calculates results for each one simultaneously. The trade timing is identical across all leverage levels -- the same entry and exit conditions fire on the same candles. Only the dollar impact of each trade changes.

This makes it easy to answer the question: "What if I had used more leverage?" You can compare the total return, the max drawdown, and the risk-adjusted ratios side by side. The answer is often that higher leverage boosts the headline return but produces drawdowns that would be difficult to tolerate in practice.

Why not just always use the highest leverage?

Because drawdowns are what force you to stop trading. A strategy that returns 90% per year with a 70% max drawdown sounds great on paper, but in reality a 70% drop means watching your $10,000 account fall to $3,000 before it recovers. Most people abandon a strategy long before the recovery arrives. Lower leverage produces smaller returns but also smaller drawdowns, which makes the strategy easier to stick with.

Position Sizing

Position sizing determines how much of your capital goes into each trade. Simula uses an all-in model: every trade uses 100% of the available equity, multiplied by the leverage factor. If you have $10,000 and select 2x leverage, every trade controls $20,000 worth of the asset.

This is the simplest form of position sizing and the most common in backtesting platforms. It isolates the performance of your entry and exit logic without introducing a separate layer of capital allocation decisions. The question the backtest answers is: "How does this strategy perform when I am fully committed to every trade?"

In live trading, many traders use fractional position sizing -- risking only 1-2% of their account per trade -- to reduce the impact of any single loss. Keep this in mind when comparing backtest results to live expectations. A backtest with 100% position sizing will show larger gains and larger drawdowns than a live account using conservative sizing.

Common Mistakes

Judging a Strategy by Leveraged Return Alone

A strategy that returns 200% at 10x leverage is not impressive if it also had an 85% max drawdown. Always look at leverage- adjusted risk metrics alongside returns. The Calmar ratio (return divided by max drawdown) is especially useful for this -- it tells you how much return you earned per unit of pain.

Assuming Leverage Is Free

In live trading, leverage comes with costs: margin interest, funding rates (in crypto), or wider spreads on leveraged products. Simula's backtest models the return amplification but does not add interest charges. Real-world leveraged returns will be slightly lower than what the backtest shows, especially for strategies that hold positions for days or weeks.

Where to Go Next

Max Drawdown -- the metric that matters most when evaluating leveraged strategies.

Sharpe Ratio -- how risk-adjusted returns help you compare across leverage levels.

Spreads, Commissions & Slippage -- trading costs that interact with leverage.

How the Simulation Works -- the engine that calculates leveraged equity candle by candle.

Monte Carlo Simulation -- stress-testing whether your strategy survives different trade sequences at your chosen leverage.