Aggregate Asset Management (AAM), a Singapore-based firm, is enhancing its flagship Aggregate Value Fund (AVF) by expanding the use of its proprietary AI-driven machine learning model, “Deep Deep”. This move comes as investors increasingly seek diversification and downside protection amidst volatile markets. The fund, which now invests in nearly 900 companies across 17 countries, has assets under management exceeding S$600m.
Originally launched in 2012 as a deep-value Asia fund, AVF has evolved into a globally diversified portfolio. The integration of AI into the fund’s strategy began in 2021, significantly improving its resilience. Since then, the fund’s maximum drawdown has decreased from 28.85% to 12.36% as of February 2026. Over the past five years, AVF has delivered annualised returns of 7.92% and 10.95% over the last three years.
AAM’s machine learning model evaluates over 150 indicators, including technical analysis and company fundamentals, to rank stocks with the strongest risk-return profiles. These rankings are reviewed weekly by human analysts. Eric Kong, Co-Founder and Executive Director, stated, “Humans can typically process only five to seven indicators at a time, whereas our machine learning model can evaluate more than 150 factors before a final human review.”
The fund’s ultra-diversification strategy, holding close to 900 companies, limits the impact of any single stock, enhancing resilience during market stress. Kevin Tok, Co-Founder and Executive Director, emphasised the importance of resilience, stating, “In a more volatile world, we believe resilience matters just as much as returns.”
As market volatility continues, driven by geopolitical tensions and economic concerns, AAM’s focus on diversification and downside protection positions AVF as a robust option for investors seeking steady returns.
