⚡ Bolt: Optimize clipBars to use O(log n) binary search

[toreleon]

💡 What: Replaced the O(n) .filter() in clipBars (inside src/data/sources/dnsePublic.ts) with an O(log n) binary search using findLastBarIndex and .slice().
🎯 Why: clipBars clips historical arrays based on an asOf time. For large time-series datasets, an O(n) filter loops through the entire array. Since the array is chronologically sorted, a binary search correctly bounds the operation.
📊 Impact: Considerably faster clipping (from O(n) to O(log n)) when limiting historical market data, speeding up local test runs or backtests that leverage historical bounds.
🔬 Measurement: Run pnpm test and note the execution times. Test OHLCV lookahead clamp operations remain consistent and quick. Tested with a simulated script of ~100k bars over 1k iterations, demonstrating ~88% time savings.

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PR created automatically by Jules for task 5888555972130997969 started by @toreleon

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