-
| CurrencyCode | USD |
|---|---|
| Exchange | NYSE ARCA |
| Beta | None |
|---|---|
| Market Cap | None |
| PE Ratio | None |
| Target Price | None |
Under normal circumstances, the fund will invest at least 80% of its net assets, plus the amounts of any borrowings for investment purposes, in securities of U.S.-listed companies. In pursuing the fund"s investment objective, the Adviser consults a database generated by Qraft"s AI Quantitative Investment System ("QRAFT AI"). Qraft created QRAFT AI to automatically evaluate and filter data according to parameters supporting a particular investment thesis. The fund is non-diversified.
Here's how to backtest a trading strategy or backtest a portfolio for NVQ 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 2024