A strategy showing a 30% annual return may be less effective than one earning 12%. The difference can lie in how much exposure each strategy takes relative to the capital supporting it. Leverage enlarges gains and losses without necessarily improving the quality of the underlying trading decisions.
Comparing leverage trading records therefore requires more than ranking headline returns. Position sizing, collateral usage and financing arrangements can make otherwise similar strategies appear dramatically different. Five distortions are especially important when performance is measured through CFDs.
Equity Returns Can Reward Borrowed Exposure Rather Than Better Signals
Return on account equity rises when the same market exposure is supported by less capital. A strategy holding $100,000 of assets against $20,000 of equity experiences a 5% equity gain from a 1% favorable price move, before costs. With $50,000 of equity supporting identical exposure, the gain is only 2%.
Neither result proves superior forecasting. Compare profit relative to average notional exposure, alongside equity returns, to separate signal performance from financing intensity. Otherwise a ranking can reward whichever strategy uses the thinnest capital cushion.
Drawdown Percentages Can Conceal Different Paths to Liquidation
Maximum drawdown describes the largest observed decline from an equity peak, but it does not show how close a position came to its broker’s margin closeout threshold. Two strategies with 15% historical drawdowns might have radically different remaining free margin because their gross exposures differ.
A backtest that ignores forced liquidation may also assume recovery from a loss the live account could not survive. Examine minimum margin level and the sequence of intraday equity lows, not only the closing balance curve. Historical drawdown becomes particularly misleading when prices gap between recorded observations.
Financing Charges Can Reverse the Apparent Winner
Imagine two hypothetical strategies trading the same broad equity-index CFD over one year, each starting with $20,000. Strategy A averages $80,000 in long exposure and earns $8,000 in gross trading profit. Strategy B averages $30,000 and earns $5,000. Their displayed gross equity returns are 40% and 25% respectively.
Assume A incurs $4,800 in net financing and transaction charges, while B incurs $900. Net profits become $3,200 and $4,100, or 16% and 20.5% of starting equity. The higher-return strategy before costs becomes the weaker one afterward. Actual charges depend on the provider’s terms and holding periods; compare net returns using the same accounting conventions.
Volatility Ratios Can Favor Strategies That Hide Tail Exposure
Sharpe ratios and similar measures depend on the observed distribution of returns. A heavily leveraged strategy that collects frequent small gains while carrying rare large losses may show smooth monthly results until an exceptional move occurs. The historical ratio can look attractive precisely because the damaging event has not appeared in the sample.
In leverage trading comparisons, test how returns respond to unusually large one-day moves and widening spreads. A strategy’s calm equity curve is not evidence that its exposure is diversified or that losses will remain proportional during market stress.
Changing Position Sizes Can Make Track Records Incomparable
A strategy may increase exposure after profitable months or cut it following losses. Its reported annual return then reflects both the trading signals and a changing allocation of capital. Comparing that record with a fixed-size strategy without accounting for the sizing rule can mistake aggressive scaling for improved execution.
Time-weighted returns, cash-flow-adjusted calculations and exposure-normalized results answer different questions. Identify which method a performance report uses and whether external deposits, withdrawals or internal capital transfers alter its denominator.
Before opening a CFD position based on a strategy comparison, reconstruct both records using net returns, average notional exposure, maximum intraday drawdown and financing costs. Then calculate each strategy’s margin headroom under the same adverse market move, using the actual provider’s closeout rules.
