Opening-Range Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs
An opening-range breakout trades a break of the first N minutes' range. Crypto has no opening bell, so the 'open' is a choice that shapes the results.
Short answer
An opening-range breakout (ORB) defines a range over the first N minutes after a chosen session start (e.g. 00:00 UTC or a major market's open) and trades a break of it. In crypto, volume around traditional market opens can make some start times more meaningful than others. Test several session starts and range lengths, use next-bar or stop fills with slippage, compute break-even cost, and avoid picking the best start time after the fact.
Break-even cost
| Item | Value (illustrative) |
|---|---|
| Trades | 180 |
| Gross avg per trade | +0.31% |
| Fees (2 × 0.05%) | −0.10% |
| Slippage (2 × 0.04%) | −0.08% |
| Net avg per trade | +0.13% |
| Break-even round-trip cost | 0.31% |
Session start choice
| Session start / range | Trades | Net avg (illustrative) |
|---|---|---|
| 00:00 UTC / 30m | 180 | +0.20% |
| 13:30 UTC / 30m | 175 | +0.27% |
| 08:00 UTC / 60m | 170 | +0.14% |
Conclusion
Related: Previous-Day High Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs, Inside-Bar Breakout Backtest in Crypto: Fees, Slippage and Break-Even Costs.
Backtest the opening-range breakout rule with costs in ChartsPod.
Open the ChartsPod terminalTest several session starts and range lengths, use next-bar or stop fills with slippage, compute break-even cost, and avoid picking the best start time after the fact.
Compare Opening-Range Breakout Backtest in Crypto across Binance, Bybit, OKX and Hyperliquid markets.
Open markets in ChartsPodQuestions readers ask
What is an opening range in crypto?
The first N minutes after a session start you choose.
Which start time?
Test several; validate out of sample.
How long a range?
Test 15–60 minutes.
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.