Stop recomputing OHLCV indicators after every new bar

📰 Dev.to · Kael Zhang

Optimize your backtesting workflow by avoiding redundant OHLCV indicator calculations to improve performance

intermediate Published 19 Jul 2026
Action Steps
  1. Identify performance bottlenecks in your backtesting workflow
  2. Implement a caching mechanism to store previously calculated OHLCV indicators
  3. Apply incremental calculation techniques to update indicators only when new data arrives
  4. Configure your backtesting framework to utilize the cached indicators
  5. Test the optimized workflow to ensure correctness and measure performance gains
Who Needs to Know This

Quantitative traders and developers working with large datasets can benefit from this optimization to speed up their backtesting processes

Key Insight

💡 Caching and incremental calculation of OHLCV indicators can significantly improve backtesting performance

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💡 Stop wasting compute resources! Optimize your backtesting workflow by avoiding redundant OHLCV calculations

Key Takeaways

Optimize your backtesting workflow by avoiding redundant OHLCV indicator calculations to improve performance

Full Article

A four-year, 15-minute crypto backtest is about 140k bars for one symbol. With 50 symbols, that is...
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