Crypto Backtesting: Challenges and Best Practices
By Daniel Chau
Founder, NeuroBacktest
Backtest Bitcoin, Ethereum, and altcoin strategies with realistic assumptions for volatility, liquidity, and exchange data.
Crypto markets never sleep. Their 24/7 nature, high volatility, and unique market structure make crypto backtesting both exciting and challenging.
Market Structure Differences
Unlike stocks, crypto trades continuously, has no central exchange, and offers perpetual futures with funding rates. These factors change slippage, liquidity, and holding costs.
Data Quality
Use reputable exchange data or aggregators. Be aware of exchange outages, flash crashes, and delisted altcoins that can introduce survivorship bias into your results.
Volatility Adjustments
Crypto moves can be 5-10 times larger than stocks. Wider stops, smaller position sizes, and volatility-adjusted rules are usually necessary for realistic backtests.
Backtest Crypto with NeuroBacktest
Try: "Backtest a Bitcoin momentum strategy using a 20-day breakout from 2020 to 2024 with 1% risk per trade."
Frequently Asked Questions
Is crypto backtesting different from stock backtesting?▼
Yes. Crypto markets trade 24/7, are more volatile, and have different liquidity, funding rates, and exchange-specific data issues.
What data should I use for crypto backtests?▼
Use high-quality OHLCV from reputable exchanges or aggregators. Account for survivorship bias if you test many delisted altcoins.
How do I handle 24/7 trading in backtests?▼
Use daily or hourly bars without market-open gaps. Be careful with weekend liquidity and funding-rate costs for perpetual futures.