Fixed-Risk Position Sizing Backtest in Crypto: Fees, Slippage and Break-Even Costs
Backtesting the same entries with fixed-risk sizing instead of fixed size changes equity curves, drawdowns and how costs bite.
Short answer
Fixed-risk sizing sets each trade's size so that a stop-out loses a fixed fraction of equity. In a backtest, it changes results compared with fixed position size: tight-stop trades get larger positions (more fees per trade), wide-stop trades smaller. Include costs in the stop distance when sizing, cap notional to avoid absurd sizes on very tight stops, and compare drawdown and net return with fixed-size sizing on identical entries.
Break-even cost
| Item | Value (illustrative) |
|---|---|
| Trades | 180 |
| Gross avg per trade | +0.40% |
| Fees (2 × 0.05%) | −0.10% |
| Slippage (2 × 0.03%) | −0.06% |
| Net avg per trade | +0.24% |
| Break-even round-trip cost | 0.40% |
Same entries, two sizing rules
| Sizing | Net return | Max drawdown | Fees paid (illustrative) |
|---|---|---|---|
| Fixed size | +18% | −14% | $2,100 |
| 1% fixed risk | +24% | −11% | $3,400 |
| 1% risk, notional cap | +22% | −10% | $2,800 |
Conclusion
Related: Stop-Distance Position Sizing in Crypto: When the Common Rule Produces a Misleading Result, Fixed-Percent Account Risk in Crypto: When the Common Rule Produces a Misleading Result.
Backtest the fixed-risk sizing rule with costs in ChartsPod.
Open the ChartsPod terminalInclude costs in the stop distance when sizing, cap notional to avoid absurd sizes on very tight stops, and compare drawdown and net return with fixed-size sizing on identical entries.
Check Fixed-Risk Position Sizing Backtest in Crypto against a live market before relying on it.
Try it in ChartsPodQuestions readers ask
Does sizing change backtest results?
Yes: returns, drawdown and fees.
Why cap notional?
Very tight stops create huge sizes.
Should costs be in sizing?
Yes, in the stop distance.
Sources and methodology
Backtest cost logic follows TradingView's Pine Script strategy documentation; indicator definitions are standard. All performance numbers are illustrative examples of the method, not results of real tests.
- TradingView Pine Script: Strategies — simulated fills and assumptions.
- TradingView Pine Script: Repainting — live vs historical calculation.
- ChartsPod documentation — guides for order flow, derivatives, alerts, backtests, journal and workspaces.
This article explains research tools and workflows. It is not financial advice, does not recommend buying or selling any asset and does not predict prices. Crypto derivatives carry a risk of rapid and total loss of margin.
CHARTSPOD EDITORIAL EDITION · RESEARCH AND EDUCATION ONLY · NOT FINANCIAL ADVICE.