AI considers different scenarios based on the analysis of historical data, news sentiment, and macroeconomic indicators to define predictions and market trends. The latest AI models of Norway’s $1.8 trillion sovereign wealth fund are being channeled to predict internal trading patterns, thus cutting down annual trading costs by an estimated $400 million.
Advanced models such as MarketSenseAI 2.0 are more robust, as they process financial news, earnings calls, and macroeconomic data using large language models (LLMs), yielding a cumulative return of 125.9% over two years on S&P 100 stocks compared to the index’s 73.5%.
