⚡ Bolt: Use binary search for timeseries lookups in backtesting#43
⚡ Bolt: Use binary search for timeseries lookups in backtesting#43toreleon wants to merge 1 commit into
Conversation
💡 What: Replaced an O(n) array `.filter()` inside the backtest interval loop with an O(log n) binary search utility `findPriceAt` for retrieving the latest price `asOf` a timestamp. 🎯 Why: Backtests loop through thousands of intervals. Filtering an entire timeseries array every interval creates a severe O(n*m) performance bottleneck on the critical path. 📊 Impact: Expected to reduce lookup time from O(n) to O(log n), making overall backtest sessions significantly faster, especially over longer time frames or larger symbol universes. 🔬 Measurement: Run a large backtest before and after to observe runtime difference, or run an isolated script benchmarking `.filter()` vs binary search on an array of 10,000 dates (shows a multi-hundredfold improvement in lookups). Co-authored-by: toreleon <42534763+toreleon@users.noreply.github.com>
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with New to Jules? Learn more at jules.google/docs. For security, I will only act on instructions from the user who triggered this task. |
💡 What: Replaced an O(n) array
.filter()inside the backtest interval loop with an O(log n) binary search utilityfindPriceAtfor retrieving the latest priceasOfa timestamp.🎯 Why: Backtests loop through thousands of intervals. Filtering an entire timeseries array every interval creates a severe O(n*m) performance bottleneck on the critical path.
📊 Impact: Expected to reduce lookup time from O(n) to O(log n), making overall backtest sessions significantly faster, especially over longer time frames or larger symbol universes.
🔬 Measurement: Run a large backtest before and after to observe runtime difference, or run an isolated script benchmarking
.filter()vs binary search on an array of 10,000 dates (shows a multi-hundredfold improvement in lookups).PR created automatically by Jules for task 12546536491596426527 started by @toreleon