AI-Powered ETF Trails S&P 500

The video tutorial discusses AIQ's comprehensive approach to stock selection, leveraging unstructured data, sentiment, and intent analysis. It explains how AIQ combines this information with macro and technical data to predict price appreciation for US publicly traded companies. The tutorial also covers the high turnover rate of AIQ's ETF, its implications on transaction costs and taxes, and how these factors are integrated into AIQ's decision-making models.

What was the turnover rate of the ETF mentioned, and how did it change in 2022?

How does the ETF model account for transaction costs when making trading decisions?