GLOBAL Mutual Fund Probability of Future Mutual Fund Price Finishing Over 0.0

MGQLX Fund  USD 15.04  0.06  0.91%   
GLOBAL QUALITY's future price is the expected price of GLOBAL QUALITY instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of GLOBAL QUALITY PORTFOLIO performance during a given time horizon utilizing its historical volatility.
Check out Correlation Analysis. Please specify GLOBAL QUALITY time horizon, a valid symbol (red box) and a target price (blue box) you would like GLOBAL QUALITY odds to be computed.

GLOBAL QUALITY Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of GLOBAL QUALITY for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for GLOBAL QUALITY PORTFOLIO can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
GLOBAL QUALITY is unlikely to experience financial distress in the next 2 years
The fund maintains 97.71% of its assets in stocks

GLOBAL QUALITY Technical Analysis

GLOBAL QUALITY's future price can be derived by breaking down and analyzing its technical indicators over time. GLOBAL Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GLOBAL QUALITY PORTFOLIO. In general, you should focus on analyzing GLOBAL Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

GLOBAL QUALITY Predictive Forecast Models

GLOBAL QUALITY time-series forecasting models is one of many GLOBAL QUALITY's mutual fund analysis techniquest aimed to predict 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 GLOBAL QUALITY'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 mutual fund market movement and maximize returns from investment trading.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression