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When I create a database and insert 1.5 years of 5 minute bar data, the optimization I run takes around 2.5 hours.
When I add more data to the database to end up with 8 years of 5 minute bar data, the same optimization takes 4 days+ (exponentially worse).
Even when I restrict the date range to a 1.5 year period in the larger database, a single backtest is noticeably longer than the same backtest with just the 1.5 years in the database.
Is there anything that I can do to improve the performance of the optimization over the larger period?
My plan now is to create a database for each 2 year period and run the optimizations on each individually.
Any other ideas? Any tricks for getting more performance on a large data set?
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