Swan Defined is trading at 15.98 as of the 23rd of January 2026; that is 0.06 percent down since the beginning of the trading day. The fund's open price was 15.99. Swan Defined has about a 22 % chance of experiencing some form of financial distress in the next two years of operation and did not have a very good performance during the last 90 trading days. The performance scores are derived for the period starting the 25th of October 2025 and ending today, the 23rd of January 2026. Click here to learn more.
The fund seeks to achieve its investment objective by investing directly, or indirectly in capitalization-weighted U.S. large capitalization exchange-traded funds that invest 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 exchange-traded put and call options on various equity indices to generate additional returns.. More on Swan Defined Risk
Swan Defined Risk [SDAIX] is traded in USA and was established 23rd of January 2026. Swan Defined is listed under Swan category by Fama And French industry classification. The fund is listed under Options Trading category and is part of Swan family. This fund at this time has accumulated 51.57 M in assets with minimum initial investment of 100 K. Swan Defined Risk is currently producing year-to-date (YTD) return of 0.94%, while the total return for the last 3 years was 14.99%.
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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 Swan 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 Swan 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 Swan Defined Risk 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.
The fund maintains about 5.18% of assets in cash. Swan Defined Risk last dividend was 0.01 per share. Large Blend To find out more about Swan Defined Risk contact the company at 877-896-2590.
Swan Defined Risk Investment Alerts
The fund maintains about 5.18% of its assets in cash
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.
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.
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.
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.