Machine learning is transforming how investment strategies are developed by identifying historical patterns and making predictions.

Momentum models have evolved from simple return-based calculations to sophisticated algorithms incorporating multiple factors.

The complexity and unpredictability of a market crash is something that AI seeks to minimise but would likely be unable to solve alone.

Mean reversion models have a long-standing history in financial theory and have evolved significantly with technological advancements.

Algorithmic trading is significant in modern financial markets, leveraging mathematical models to execute trades with speed and precision.