Gotham Hedged E Fund Statistic Functions Beta
| GCHDX Fund | USD 12.04 0.07 0.58% |
| Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on Gotham Hedged E correlated with the market. If Beta is less than 0 Gotham Hedged generally moves in the opposite direction as compared to the market. If Gotham Hedged Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Gotham Hedged E is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Gotham Hedged is generally in the same direction as the market. If Beta > 1 Gotham Hedged moves generally in the same direction as, but more than the movement of the benchmark.
Gotham Hedged Technical Analysis Modules
Most technical analysis of Gotham Hedged 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 Gotham from various momentum indicators to cycle indicators. When you analyze Gotham 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 Gotham Hedged 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 Gotham Hedged E. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gotham Hedged E based on widely used predictive technical indicators. In general, we focus on analyzing Gotham Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gotham Hedged's daily price indicators and compare them against related drivers, such as statistic functions 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 Gotham Hedged's intrinsic value. In addition to deriving basic predictive indicators for Gotham Hedged, we also check how macroeconomic factors affect Gotham Hedged 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 Gotham Hedged'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 Gotham Hedged 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, Gotham Hedged's short interest history, or implied volatility extrapolated from Gotham Hedged 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. | Artificial Intelligence Invested few shares | |
 | Momentum Invested over 30 shares | |
 | Automobiles and Trucks Invested over 60 shares | |
 | Banking Invested over 30 shares | |
 | Driverless Cars Invested few shares | |
 | FinTech Invested over 60 shares | |
 | Corona Opportunity Invested few shares | |
 | Investor Favorites Invested over 300 shares | |
 | Manufacturing Invested over 30 shares | |
 | Hedge Favorites Invested few shares | |
 | Giant Impact Invested over 20 shares |
Other Information on Investing in Gotham Mutual Fund
Gotham Hedged financial ratios help investors to determine whether Gotham 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 Gotham with respect to the benefits of owning Gotham Hedged security.
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |