Quantified Evolution Plus Fund Analysis
QEVOX Fund | USD 7.13 0.09 1.28% |
Quantified Evolution Plus is fairly valued with Real Value of 7.03 and Hype Value of 7.13. The main objective of Quantified Evolution fund analysis is to determine its intrinsic value, which is an estimate of what Quantified Evolution Plus is worth, separate from its market price. There are two main types of Quantified Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Quantified Evolution Plus. On the other hand, technical analysis, focuses on the price and volume data of Quantified Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Quantified Evolution 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.
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Quantified Mutual Fund Analysis Notes
The fund maintains about 62.37% of assets in cash. Quantified Evolution Plus last dividend was 0.22 per share. Large Growth To find out more about Quantified Evolution Plus contact the company at 855-647-8268.Quantified Evolution Plus Investment Alerts
The fund generated three year return of -1.0% | |
Quantified Evolution Plus maintains about 62.37% of its assets in cash |
Top Quantified Evolution Plus Mutual Fund Constituents
BSCO | Invesco BulletShares 2024 | Etf | |
FGZXX | First American Funds | Money Market Fund | |
GLD | SPDR Gold Shares | Etf | |
GSY | Invesco Ultra Short | Etf | |
IEF | iShares 7 10 Year | Etf | |
SHV | iShares Short Treasury | Etf | |
SPSB | SPDR Barclays Short | Etf | |
SPY | SPDR SP 500 | Etf | |
TLT | iShares 20 Year | Etf |
Technical Drivers
As of the 2nd of December, Quantified Evolution holds the Coefficient Of Variation of 864.75, semi deviation of 1.25, and Risk Adjusted Performance of 0.0925. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Evolution, as well as the relationship between them.Quantified Evolution Plus Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Quantified Evolution 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 Quantified Evolution Plus. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Quantified Evolution Predictive Daily Indicators
Quantified Evolution 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 Quantified Evolution 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 | 1.01 | |||
Day Median Price | 7.13 | |||
Day Typical Price | 7.13 | |||
Price Action Indicator | 0.045 | |||
Period Momentum Indicator | 0.09 |
Quantified Evolution Forecast Models
Quantified Evolution's time-series forecasting models are one of many Quantified Evolution'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 Quantified Evolution'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 Quantified Mutual Fund Analysis
Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Quantified Evolution 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 Quantified 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 Quantified Evolution. By using and applying Quantified Mutual Fund analysis, traders can create a robust methodology for identifying Quantified entry and exit points for their positions.
The Subadvisers asset allocation focuses primarily on the following categories equities, debt, gold and commodities. The Subadviser may invest directly in securities representing an asset class, or may invest in exchange-traded funds and mutual funds that invest primarily in an asset class, or in futures or swaps linked to an asset class. The fund invests in ETFs and mutual funds that are not affiliated with the Adviser or Subadviser.
Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our mutual fund analysis tools, you can find out how much better you can do when adding Quantified Evolution to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in Quantified Mutual Fund
Quantified Evolution financial ratios help investors to determine whether Quantified 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 Quantified with respect to the benefits of owning Quantified Evolution security.
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