The Globe and Mail reports in its Saturday edition that Arup Datta of Mackenzie Investments selects stocks by combining growth and value with quality metrics like balance sheet strength and employee satisfaction. The Globe's Brenda Bouw writes that for the past 18 months, his firm has used a proprietary machine learning model to predict company fundamentals, helping to double or triple returns on specific stocks, excluding the Magnificent Seven. Mr. Datta's "fundamental quantitative" strategy simplifies stock selection without focusing on economic uncertainty or market fluctuations. "We're all-weather managers," says Mr. Datta, who oversees about $9.5-billion (U.S.) in assets. "The idea here is rather simple. I like to keep my life simple. The markets are, at any point in time, either loving growth or loving value or loving quality, and we have all of those embedded in our portfolio." The strategy has resulted in outstanding returns. As of Feb. 21, the Mackenzie Global Equity Fund, Series F, returned 30 per cent over the past year, with three-year annualized returns of 16 per cent and five-year annualized returns nearing 14 per cent. The fund's top five holdings are Nvidia, Microsoft, Apple, Alphabet and Amazon.