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

The shockwaves from the Black Monday crash of Japan's Nikkei were felt globally, both in 1987 and 2024, showcasing market fragility.

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.

The Asian Financial Crisis, which erupted in 1997 and continued into 1998, affected many East and Southeast Asian economies.

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

AI is revolutionising personalised financial planning by helping individuals achieve their financial aspirations with greater confidence.

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

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