Long Term Government Fund Math Operators Lowest value over a specified period
| PFGAX Fund | USD 14.02 0.01 0.07% |
| Symbols |
The output start index for this execution was two with a total number of output elements of fifty-nine. The Lowest value over a specified period line plots minimum value of Long Term Government price series.
Long-term Technical Analysis Modules
Most technical analysis of Long-term help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Long-term from various momentum indicators to cycle indicators. When you analyze Long-term charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Long-term Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Long Term Government Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Long Term Government Fund based on widely used predictive technical indicators. In general, we focus on analyzing Long-term Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Long-term's daily price indicators and compare them against related drivers, such as math operators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Long-term's intrinsic value. In addition to deriving basic predictive indicators for Long-term, we also check how macroeconomic factors affect Long-term price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Align your values with your investing style
In addition to having Long-term in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Casinos Invested over 90 shares | |
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Other Information on Investing in Long-term Mutual Fund
Long-term financial ratios help investors to determine whether Long-term 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 Long-term with respect to the benefits of owning Long-term security.
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |