Swan Defined Risk Fund Analysis
| SDRIX Fund | USD 15.89 0.03 0.19% |
Swan Defined Risk is fairly valued with Real Value of 15.79 and Hype Value of 15.89. The main objective of Swan Defined fund analysis is to determine its intrinsic value, which is an estimate of what Swan Defined Risk is worth, separate from its market price. There are two main types of SWAN Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Swan Defined Risk. On the other hand, technical analysis, focuses on the price and volume data of SWAN Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Swan Defined mutual fund is traded in the USA on NMFQS Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA.
SWAN |
SWAN Mutual Fund Analysis Notes
The fund maintains 98.58% of assets in stocks. Swan Defined Risk last dividend was 0.05 per share. Large Growth To find out more about Swan Defined Risk contact the company at 877-896-2590.Swan Defined Risk Investment Alerts
SWAN Market Capitalization
The company currently falls under '' category with a current market capitalization of 0. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Swan Defined's market, we take the total number of its shares issued and multiply it by Swan Defined's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Top Swan Defined Risk Mutual Fund Constituents
| IVV | iShares Core SP | Etf | |
| XLB | Materials Select Sector | Etf | |
| XLC | Communication Services Select | Etf | |
| XLE | Energy Select Sector | Etf | |
| XLF | Financial Select Sector | Etf | |
| XLI | Industrial Select Sector | Etf | |
| XLK | Technology Select Sector | Etf | |
| XLP | Consumer Staples Select | Etf | |
| XLU | Utilities Select Sector | Etf | |
| XLV | Health Care Select | Etf | |
| XLY | Consumer Discretionary Select | Etf |
Institutional Mutual Fund Holders for Swan Defined
Have you ever been surprised when a price of an equity instrument such as Swan Defined is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Swan Defined Risk backward and forwards among themselves. Swan Defined's institutional investor refers to the entity that pools money to purchase Swan Defined's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
Note, although Swan Defined's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses. Technical Drivers
As of the 25th of November, Swan Defined has the Risk Adjusted Performance of 0.1305, semi deviation of 0.2556, and Coefficient Of Variation of 549.4. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swan Defined Risk, as well as the relationship between them.Swan Defined Risk Price Movement Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Swan Defined middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Swan Defined Risk. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Swan Defined Outstanding Bonds
Swan Defined issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Swan Defined Risk uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most SWAN bonds can be classified according to their maturity, which is the date when Swan Defined Risk has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Swan Defined Predictive Daily Indicators
Swan Defined intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Swan Defined mutual fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.89 | |||
| Day Typical Price | 15.89 | |||
| Price Action Indicator | 0.015 | |||
| Period Momentum Indicator | 0.03 | |||
| Relative Strength Index | 39.29 |
Swan Defined Forecast Models
Swan Defined's time-series forecasting models are one of many Swan Defined's mutual fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Swan Defined's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.About SWAN Mutual Fund Analysis
Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Swan Defined prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling SWAN shares will generate the highest return on investment. We also built our fund analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Fund such as Swan Defined. By using and applying SWAN Mutual Fund analysis, traders can create a robust methodology for identifying SWAN entry and exit points for their positions.
The fund seeks to achieve its investment objective by investing directly, or indirectly through exchange traded funds , in equity securities that are represented in the SP 500 Index, exchange-traded long-term put options on the SP 500 Index for hedging purposes, and buying and selling exchange-traded put and call options on various equity indices to generate additional returns.
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Other Information on Investing in SWAN Mutual Fund
Swan Defined financial ratios help investors to determine whether SWAN 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 SWAN with respect to the benefits of owning Swan Defined security.
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