Trade Aggregation Methods

Trade aggregation methods involve combining multiple individual trade records into a single summary over a specified interval. This is often done to reduce the volume of data while maintaining the essential characteristics of the market activity.

Common methods include time-based aggregation, volume-based aggregation, or volatility-based aggregation. Each method serves a different purpose; for instance, volume-based bars are often preferred in quantitative finance because they capture more information during periods of high market activity.

Aggregation helps in smoothing out noise and identifying underlying trends in the data. However, choosing the wrong aggregation method can lead to the loss of critical information, such as the specific sequence of trades that occurred.

Therefore, selecting the appropriate method is a key step in preparing data for analysis. It balances the trade-off between data volume and informational content.