NEWZ navigates market complexities through a proprietary news media sentiment signal which combines AI and NLP technologies. This signal is generated from textual sources, such as news articles, blogs, and SEC filings, processed using advanced machine learning algorithms. These algorithms sift through vast amounts of data to assess investor sentiment and identify stocks with the most positive news coverage. The process begins by screening US-listed equity securities based on capitalization, volatility, ROE, news coverage volume, and inclusion in Zacks sector and industry classifications. Selections are made based on the sentiment signal, which also integrates a sentiment momentum signal indicating shifts in investor sentiment over time. After the screening, the portfolio typically comprises the top 30 to 50 stocks, all equally weighted. Throughout this process, the fund prioritizes reliability, gathering information from reputable news outlets such as Zacks, Motley Fool, and CNBC. The fund is rebalanced and reconstituted monthly.