-
| Exchange | NASDAQ |
|---|---|
| CurrencyCode | USD |
| Beta | nan |
|---|---|
| Market Cap | None |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | None |
The fund seeks to achieve its investment objective by employing a targeted outcome strategy that is intended to optimize, in the opinion of Fund management, premium income generation and the potential for capital appreciation. The fund invests at least 80% of its net assets in equity securities listed on the Nasdaq Stock Market. Investments in derivatives are counted toward the fund"s 80% policy to the extent that they provide investment exposure to the securities included within that policy or to one or more market risk factors associated with such securities.
Here's how to backtest a trading strategy or backtest a portfolio for BALQ 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