How to Store Your Time Series Data More Efficiently Using Arctic
Speed up your Quant tasks in Python
In the fast-paced world of quantitative finance, efficient handling, access, and analysis of time series data are crucial. Often, we use various flat files, SQL and non-SQL databases, or cloud solutions. Therefore, a common question is how to process time series data sets more efficiently, especially when they are large.
A solution can come with ArcticDB…