Published in The Journal of Financial Data Science, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle financial asset pricing tasks.
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Details: doi.org/10.1016/j.jfds.2025.100150

AI Outperforms Wall Street: Symbolic Modeling Beats Classic Finance Models in Predicting Market Trends Texas A&M researchers have created a new AI-driven method called Symbolic Modeling that outperforms traditional asset pricing models by uncovering hidden market dynamics. The model improves prediction...

AI Outperforms Wall Street: Symbolic Modeling Beats Classic Finance Models in Predicting Market Trends 📈🤖💡 www.azoai.com/news/2025032... #ArtificialIntelligence #FinanceInnovation #AssetPricing #MachineLearning #SymbolicModeling #DeepLearning #QuantFinance #AIinFinance #MarketPrediction