In the investing world, edge has changed dramatically over time. In the past, individual traders could achieve strong returns due to trading inefficiencies. However, with the rise of high-frequency trading programs, these inefficiencies have decreased. Discretionary trading and analyzing companies are no longer differentiators, as everyone now builds models using data and technology. Python classes and data teams have become essential in efficiently screening and analyzing large amounts of data. Additionally, software that breaks down exposures, factor risks, and concentrations in real-time has become more common. Overall, edge has shifted towards using technology and data to gain an advantage in the market.

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