-
CurrencyCode | USD |
---|---|
Exchange | NYSE ARCA |
Beta | 1.0 |
---|---|
Market Cap | None |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
The fund, using a passive or indexing investment approach, seeks investment results that correspond generally to the performance, before fees and expenses, of the underlying index, which is designed to track the performance of the German equity market while mitigating exposure to fluctuations between the value of the U.S. dollar and the euro. It will invest at least 80% of its total assets (but typically far more) in component securities of the underlying index. The fund is non-diversified.
Here's how to backtest a trading strategy or backtest a portfolio for DBGR 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