Trade Filtering

Trade filtering is a systematic process used in financial markets to isolate specific types of order flow or execution data from the broader stream of market activity. By applying algorithmic criteria, traders and exchanges can ignore noise, such as small retail trades, to focus on institutional activity or specific order types that signal significant market intent.

This practice is essential for analyzing market microstructure, as it allows participants to identify the "smart money" and understand the true drivers of price discovery. In cryptocurrency markets, filtering might involve removing wash trading data to reveal genuine liquidity.

It acts as a lens, ensuring that decision-making is based on meaningful signals rather than superficial volume. Ultimately, trade filtering enhances the accuracy of technical and quantitative analysis by cleaning the input data for trading algorithms.