Fdpacx Fund Quote
| FDPACX Fund | 31.37 0.77 2.40% |
PerformanceStrong
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Fdpacx is trading at 31.37 as of the 30th of January 2026; that is 2.4% down since the beginning of the trading day. The fund's open price was 32.14. Fdpacx has 50 percent odds of going through some form of financial distress in the next two years but had a very strong returns during the last 90 days. The performance scores are derived for the period starting the 1st of November 2025 and ending today, the 30th of January 2026. Click here to learn more.
Fdpacx Fund Highlights
| Update Date | 31st of December 2025 |
Fdpacx [FDPACX] is traded in USA and was established 30th of January 2026. The fund is not classified under any group at this time.
Check Fdpacx Probability Of Bankruptcy
Fdpacx Risk Profiles
| Mean Deviation | 1.62 | |||
| Semi Deviation | 1.51 | |||
| Standard Deviation | 2.11 | |||
| Variance | 4.46 |
Fdpacx Technical Analysis
Transformation |
The output start index for this execution was zero with a total number of output elements of sixty-one. Fdpacx Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Fdpacx price patterns.
Fdpacx Against Markets
Fdpacx Predictive Daily Indicators
Fdpacx 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 Fdpacx 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.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 31.37 | |||
| Day Typical Price | 31.37 | |||
| Price Action Indicator | (0.38) | |||
| Period Momentum Indicator | (0.77) | |||
| Relative Strength Index | 74.45 |
Fdpacx Forecast Models
Fdpacx's time-series forecasting models are one of many Fdpacx's 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 Fdpacx'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.Other Information on Investing in Fdpacx Fund
Fdpacx financial ratios help investors to determine whether Fdpacx 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 Fdpacx with respect to the benefits of owning Fdpacx security.
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