Technology Fund Class Fund Quote
RYCHX Fund | USD 149.96 0.49 0.33% |
Performance0 of 100
| Odds Of DistressLess than 22
|
Technology Fund is trading at 149.96 as of the 21st of September 2024; that is 0.33 percent decrease since the beginning of the trading day. The fund's open price was 150.45. Technology Fund has about a 22 % chance of experiencing some form of financial distress in the next two years of operation but has generated negative returns over the last 90 days. Equity ratings for Technology Fund Class are calculated daily based on our scoring framework. The performance scores are derived for the period starting the 1st of December 2022 and ending today, the 21st of September 2024. Click here to learn more.
Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Technology Companies that are traded in the United States and in derivatives, which primarily consist of futures contracts and options on securities, futures contracts, and stock indices. More on Technology Fund Class
Moving against Technology Mutual Fund
Technology Mutual Fund Highlights
Fund Concentration | Rydex Funds, Large Growth Funds, Technology Funds, Technology, Rydex Funds (View all Sectors) |
Update Date | 30th of September 2024 |
Expense Ratio Date | 19th of August 2022 |
Fiscal Year End | March |
Technology Fund Class [RYCHX] is traded in USA and was established 21st of September 2024. Technology Fund is listed under Rydex Funds category by Fama And French industry classification. The fund is listed under Technology category and is part of Rydex Funds family. This fund at this time has accumulated 45.76 M in assets with no minimum investment requirementsTechnology Fund Class is currently producing year-to-date (YTD) return of 12.77%, while the total return for the last 3 years was 2.37%.
Check Technology Fund Probability Of Bankruptcy
Instrument Allocation
Sector Allocation
Investors will always prefer to have their portfolios divercified against different sectors. The broad sector allocation increases the possibility of making a profit or at least avoiding a loss. However, this may also reduce the expected return on Technology Mutual Fund. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding Technology Mutual Fund, and the less return is expected.
Institutional investors that are interested in enforcing a sector tilt in their portfolio can use exchange-traded funds, such as Technology Fund Class Mutual Fund, as a low-cost alternative to building a custom portfolio. So, using sector ETFs to diversify your portfolio can be a profitable strategy. However, no matter what sectors are desirable at a given time, no single industry should ever make up more than 20 percent of your stock portfolio.
Top Technology Fund Class Mutual Fund Constituents
IBM | International Business Machines | Stock | Information Technology | |
FISV | Fiserv Inc | Stock | Information Technology | |
FIS | Fidelity National Information | Stock | Financials | |
GOOGL | Alphabet Inc Class A | Stock | Communication Services | |
V | Visa Class A | Stock | Financials | |
PYPL | PayPal Holdings | Stock | Financials | |
ORCL | Oracle | Stock | Information Technology | |
NVDA | NVIDIA | Stock | Information Technology |
Technology Fund Class Risk Profiles
Mean Deviation | 1.22 | |||
Standard Deviation | 1.65 | |||
Variance | 2.72 | |||
Risk Adjusted Performance | (0.01) |
Technology Fund Against Markets
Other Information on Investing in Technology Mutual Fund
Technology Fund financial ratios help investors to determine whether Technology Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Technology with respect to the benefits of owning Technology Fund security.
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Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |