Cargile Fund Probability of Future Mutual Fund Price Finishing Over 8.93

CFNDX Fund  USD 8.89  0.01  0.11%   
Cargile Fund's future price is the expected price of Cargile Fund 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 Cargile Fund performance during a given time horizon utilizing its historical volatility. Check out Cargile Fund Backtesting, Portfolio Optimization, Cargile Fund Correlation, Cargile Fund Hype Analysis, Cargile Fund Volatility, Cargile Fund History as well as Cargile Fund Performance.
  
Please specify Cargile Fund's target price for which you would like Cargile Fund odds to be computed.

Cargile Fund 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 Cargile Fund for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Cargile Fund can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Cargile Fund generated a negative expected return over the last 90 days
Cargile Fund generated five year return of -2.0%
This fund holds about 5.12% of its assets under management (AUM) in cash

Cargile Fund Technical Analysis

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

Cargile Fund Predictive Forecast Models

Cargile Fund's time-series forecasting models is one of many Cargile Fund's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This non-stationary Cargile Fund'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.

Things to note about Cargile Fund

Checking the ongoing alerts about Cargile Fund for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Cargile Fund help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Cargile Fund generated a negative expected return over the last 90 days
Cargile Fund generated five year return of -2.0%
This fund holds about 5.12% of its assets under management (AUM) in cash

Other Information on Investing in Cargile Mutual Fund

Cargile Fund financial ratios help investors to determine whether Cargile 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 Cargile with respect to the benefits of owning Cargile Fund security.
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Bonds Directory
Find actively traded corporate debentures issued by US companies