Dynamic Growth Fund Price on August 29, 2024
| FLDGX Fund | USD 15.93 0.10 0.63% |
Below is the normalized historical share price chart for Dynamic Growth Fund extending back to March 20, 2000. 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 Growth stands at 15.93, as last reported on the 30th of November, with the highest price reaching 15.93 and the lowest price hitting 15.93 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 Growth secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Dynamic Growth Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Growth's Downside Deviation of 0.7678, coefficient of variation of 1325.43, and Mean Deviation of 0.5332 to check if the risk estimate we provide is consistent with the expected return of 0.0756%.
Dynamic Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Dynamic |
Sharpe Ratio = 0.1133
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Estimated Market Risk
| 0.67 actual daily | 5 95% of assets are more volatile |
Expected Return
| 0.08 actual daily | 1 99% of assets have higher returns |
Risk-Adjusted Return
| 0.11 actual daily | 8 92% of assets perform better |
Based on monthly moving average Dynamic Growth is performing at about 8% 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 Growth by adding it to a well-diversified portfolio.
Dynamic Growth Valuation on August 29, 2024
It is possible to determine the worth of Dynamic Growth on a given historical date. On August 29, 2024 Dynamic was worth 15.41 at the beginning of the trading date compared to the closed value of 15.41. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Dynamic Growth mutual fund. Still, in general, we apply an absolute valuation method to find Dynamic Growth'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 Growth where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Dynamic Growth's related companies.
| Open | High | Low | Close | Volume | |
| 15.40 | 15.40 | 15.40 | 15.40 | 1.00 | |
08/29/2024 | 15.41 | 15.41 | 15.41 | 15.41 | 1.00 |
| 15.54 | 15.54 | 15.54 | 15.54 | 1.00 |
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Dynamic Growth Trading Date Momentum on August 29, 2024
| On August 30 2024 Dynamic Growth Fund was traded for 15.54 at the closing time. The highest daily price throughout the period was 15.54 and the lowest price was 15.54 . There was no trading activity during the period 1.0. Lack of trading volume on 08/30/2024 added to the next day price jump. The overall trading delta to closing price of the next trading day was 0.84% . The overall trading delta to current closing price is 2.86% . |
Dynamic Growth Fundamentals Correlations and Trends
By evaluating Dynamic Growth'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 Growth'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 Growth Mutual Fund history
Dynamic Growth 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 Growth 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 Growth stock prices may prove useful in developing a viable investing in Dynamic Growth
The fund pursues its investment objective by investing primarily in common and preferred stocks, as well as fixed income securities. It also invests in equity investment companies , which include foreign and domestic mutual funds, as well as in exchange traded funds , closed-end funds, and unit investment trusts. The fund will have a minimum of 80 percent and a maximum of 95 percent of its net assets invested in equity securities or underlying funds investing in equity securities.
Dynamic Growth Mutual Fund Technical Analysis
Dynamic Growth 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 Growth Period Price Range
Low | November 30, 2024
| High |
0.00 | 0.00 |
Dynamic Growth Fund 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 Growth November 30, 2024 Market Strength
Market strength indicators help investors to evaluate how Dynamic Growth 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 Growth shares will generate the highest return on investment. By undertsting and applying Dynamic Growth mutual fund market strength indicators, traders can identify Dynamic Growth Fund entry and exit signals to maximize returns
Dynamic Growth Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Dynamic Growth'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 | 0.057 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | 0.0569 |
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Other Information on Investing in Dynamic Mutual Fund
Dynamic Growth 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 Growth security.
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |