In modern stock-picking, investors often rely on factor investing: scoring stocks by characteristics like valuation, profitability, or trends. Five popular factors are Quality (financial strength), Momentum (recent price trends), Value (cheapness), Growth (future earnings potential), and Sentiment (market mood). By combining these factors, one can rank all U.S. stocks and focus on the most promising ones. Recently, artificial intelligence (AI) and machine learning make it easier to process these factors at scale and uncover patterns humans might miss.
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