A Winton research project with UC Berkeley used a technique for adding noise to datasets that makes it impossible to identify individuals, while preserving broader statistical patterns.
Charts are widely used in finance. As well as representing information efficiently, they can reveal relationships or anomalies in data. But their effectiveness or otherwise is a function of the choices made during chart construction.
We assess which methods are most pertinent for different trading strategies, and explain why a robust research process is vital to Winton’s approach.