Dynamic Total Return Fund Price on October 25, 2024
| AVGAX Fund | USD 15.10 0.08 0.53% |
Below is the normalized historical share price chart for Dynamic Total Return extending back to May 02, 2006. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Dynamic Total stands at 15.10, as last reported on the 23rd of November, with the highest price reaching 15.10 and the lowest price hitting 15.10 during the day.
If you're considering investing in Dynamic Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Dynamic Mutual Fund to be very steady. Dynamic Total Return secures Sharpe Ratio (or Efficiency) of 0.0882, which denotes the fund had a 0.0882% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Dynamic Total Return, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Total's Coefficient Of Variation of 1082.22, mean deviation of 0.2515, and Downside Deviation of 0.2825 to check if the risk estimate we provide is consistent with the expected return of 0.0283%.
Dynamic Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Dynamic |
Sharpe Ratio = 0.0882
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | AVGAX |
Estimated Market Risk
| 0.32 actual daily | 2 98% of assets are more volatile |
Expected Return
| 0.03 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.09 actual daily | 6 94% of assets perform better |
Based on monthly moving average Dynamic Total is performing at about 6% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Dynamic Total by adding it to a well-diversified portfolio.
Dynamic Total Valuation on October 25, 2024
It is possible to determine the worth of Dynamic Total on a given historical date. On October 25, 2024 Dynamic was worth 14.87 at the beginning of the trading date compared to the closed value of 14.87. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Dynamic Total mutual fund. Still, in general, we apply an absolute valuation method to find Dynamic Total's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Dynamic Total where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Dynamic Total's related companies.
| Open | High | Low | Close | Volume | |
| 14.86 | 14.86 | 14.86 | 14.86 | 1.00 | |
10/25/2024 | 14.87 | 14.87 | 14.87 | 14.87 | 1.00 |
| 14.84 | 14.84 | 14.84 | 14.84 | 1.00 |
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Dynamic Total Trading Date Momentum on October 25, 2024
| On October 28 2024 Dynamic Total Return was traded for 14.84 at the closing time. The highest daily price throughout the period was 14.84 and the lowest price was 14.84 . There was no trading activity during the period 1.0. Lack of trading volume on 10/28/2024 added to the next day price reduction. The overall trading delta to closing price of the next trading day was 0.20% . The overall trading delta to current closing price is 0.20% . |
Dynamic Total Return Fundamentals Correlations and Trends
By evaluating Dynamic Total's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Dynamic Total's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Dynamic financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Dynamic Total Mutual Fund history
Dynamic Total investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Dynamic is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Dynamic Total Return will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Dynamic Total stock prices may prove useful in developing a viable investing in Dynamic Total
The fund normally invests in instruments that provide investment exposure to global equity, bond, currency and commodity markets, and in fixed-income securities. It may invest in instruments that provide economic exposure to developed and, to a limited extent, emerging market issuers. The fund may invest up to 30 percent of its net assets in emerging market issuers and considers emerging market countries to be those included in the Morgan Stanley Capital International Emerging Markets Index.
Dynamic Total Mutual Fund Technical Analysis
Dynamic Total technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Price Boundaries
Dynamic Total Period Price Range
Low | November 23, 2024
| High |
0.00 | 0.00 |
Dynamic Total Return cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Dynamic Total November 23, 2024 Market Strength
Market strength indicators help investors to evaluate how Dynamic Total mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dynamic Total shares will generate the highest return on investment. By undertsting and applying Dynamic Total mutual fund market strength indicators, traders can identify Dynamic Total Return entry and exit signals to maximize returns
Dynamic Total Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Dynamic Total's price direction in advance. Along with the technical and fundamental analysis of Dynamic Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Dynamic to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0572 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | 0.1051 |
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Other Information on Investing in Dynamic Mutual Fund
Dynamic Total financial ratios help investors to determine whether Dynamic 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 Dynamic with respect to the benefits of owning Dynamic Total security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |