-
| Exchange | NYSE ARCA |
|---|---|
| CurrencyCode | USD |
| Beta | nan |
|---|---|
| Market Cap | None |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | None |
The index follows a rules-based methodology that tracks the performance of U.S. exchange-listed companies (including American Depositary Receipts ("ADRs") of foreign companies that are traded on a U.S. exchange) that derive significant revenue (i.e., at least 30% of overall revenue) from agentic artificial intelligence. Under normal circumstances, at least 80% of the fund"s total assets will be invested in Agentic AI Companies that are component securities of the index. The fund is non-diversified.
Here's how to backtest a trading strategy or backtest a portfolio for AGIQ using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2026