Guggenheim High Yield Fund Pattern Recognition Upside and Downside Gap Three Methods
| SIHSX Fund | USD 10.09 0.02 0.20% |
| Symbol |
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was two with a total number of output elements of fifty-nine. The function did not return any valid pattern recognition events for the selected time horizon. The Upside/Downside Gap Three Methods pattern describes situation where Guggenheim High Yield is in a strong bullish mood. It shows bullish continuation trend.
Guggenheim High Technical Analysis Modules
Most technical analysis of Guggenheim High 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 GUGGENHEIM from various momentum indicators to cycle indicators. When you analyze GUGGENHEIM 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Guggenheim High 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 Guggenheim High Yield. We use our internally-developed statistical techniques to arrive at the intrinsic value of Guggenheim High Yield based on widely used predictive technical indicators. In general, we focus on analyzing GUGGENHEIM Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Guggenheim High's daily price indicators and compare them against related drivers, such as pattern recognition 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 Guggenheim High's intrinsic value. In addition to deriving basic predictive indicators for Guggenheim High, we also check how macroeconomic factors affect Guggenheim High price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim High's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Guggenheim High in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Guggenheim High's short interest history, or implied volatility extrapolated from Guggenheim High options trading.
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. | Gambling Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Momentum Invested over 60 shares | |
 | Impulse Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Adviser Favorites Invested few shares | |
 | Social Domain Invested few shares | |
 | Driverless Cars Invested over 50 shares | |
 | Manufacturing Invested over 30 shares | |
 | Warren Buffett Holdings Invested few shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | FinTech Invested over 60 shares | |
Other Information on Investing in GUGGENHEIM Mutual Fund
Guggenheim High financial ratios help investors to determine whether GUGGENHEIM 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 GUGGENHEIM with respect to the benefits of owning Guggenheim High security.
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges |