Quantitative U S Fund Analysis
GQSCX Fund | USD 16.78 0.01 0.06% |
Quantitative U S is fairly valued with Real Value of 16.59 and Hype Value of 16.78. The main objective of Quantitative fund analysis is to determine its intrinsic value, which is an estimate of what Quantitative U S is worth, separate from its market price. There are two main types of Quantitative Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Quantitative U S. On the other hand, technical analysis, focuses on the price and volume data of Quantitative Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Quantitative 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.
Quantitative |
Quantitative Mutual Fund Analysis Notes
The fund generated five year return of 14.0%. Quantitative U S retains 98.55% of assets under management (AUM) in equities. This fund last dividend was 0.04 per share. Large To learn more about Quantitative U S call the company at 800-442-8299.Quantitative U S Investment Alerts
The fund retains 98.55% of its assets under management (AUM) in equities |
Top Quantitative U S Mutual Fund Constituents
TVTX | Travere Therapeutics | Stock | |
DK | Delek Energy | Stock | |
ACCO | Acco Brands | Stock | |
HCCI | Heritage Crystal Clean | Stock | |
NSA | National Storage Affiliates | Stock | |
NAVI | Navient Corp | Stock | |
RMR | RMR Group | Stock | |
VSTO | Vista Outdoor | Stock | |
HAE | Haemonetics | Stock | |
MGNX | MacroGenics | Stock | |
MOV | Movado Group | Stock | |
OSIS | OSI Systems | Stock | |
DIOD | Diodes Incorporated | Stock | |
ANGO | AngioDynamics | Stock | |
LRN | Stride Inc | Stock | |
DNOW | Now Inc | Stock | |
HZNP | Horizon Pharma PLC | Stock | |
FN | Fabrinet | Stock | |
PFS | Provident Financial Services | Stock | |
AA | Alcoa Corp | Stock | |
MTRX | Matrix Service Co | Stock | |
GPI | Group 1 Automotive | Stock | |
ACA | Arcosa Inc | Stock | |
PATK | Patrick Industries | Stock |
Technical Drivers
As of the 29th of November, Quantitative holds the Semi Deviation of 0.9558, coefficient of variation of 1379.65, and Risk Adjusted Performance of 0.0597. Quantitative U S technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the fund's future prices.Quantitative U S Price Movement Analysis
The output start index for this execution was nine with a total number of output elements of fifty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Quantitative 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 Quantitative U S. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Quantitative Predictive Daily Indicators
Quantitative 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 Quantitative 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 | 16.78 | |||
Day Typical Price | 16.78 | |||
Price Action Indicator | 0.005 | |||
Period Momentum Indicator | 0.01 | |||
Relative Strength Index | 71.66 |
Quantitative Forecast Models
Quantitative's time-series forecasting models are one of many Quantitative'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 Quantitative'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 Quantitative Mutual Fund Analysis
Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Quantitative 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 Quantitative 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 Quantitative. By using and applying Quantitative Mutual Fund analysis, traders can create a robust methodology for identifying Quantitative entry and exit points for their positions.
Under normal market circumstances, the Portfolio invests at least 80 percent of the value of its net assets in common stocks of small cap companies tied economically to the U.S. The Advisor uses proprietary multi-factor computer models to select stocks that the models identify as undervalued. These computer models rank securities based on certain criteria, including price in relation to earnings, cash flow and assets, and material ESG criteria.
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Other Information on Investing in Quantitative Mutual Fund
Quantitative financial ratios help investors to determine whether Quantitative 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 Quantitative with respect to the benefits of owning Quantitative security.
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