Originally published at: Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | NVIDIA Technical Blog
In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals: patterns in messy market data that may help predict future returns. These signals can come from price and volume data, economic indicators, fundamentals, or alternative sources like news sentiment. For years, quant…