Listed Funds Trust Etf Statistic Functions Beta
| SPCZ Etf | USD 25.71 0.03 0.12% |
| Symbol |
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Listed Funds Trust correlated with the market. If Beta is less than 0 Listed Funds generally moves in the opposite direction as compared to the market. If Listed Funds Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Listed Funds Trust is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Listed Funds is generally in the same direction as the market. If Beta > 1 Listed Funds moves generally in the same direction as, but more than the movement of the benchmark.
Listed Funds Technical Analysis Modules
Most technical analysis of Listed Funds 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 Listed from various momentum indicators to cycle indicators. When you analyze Listed 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 | ||
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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Listed Funds 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 Listed Funds Trust. We use our internally-developed statistical techniques to arrive at the intrinsic value of Listed Funds Trust based on widely used predictive technical indicators. In general, we focus on analyzing Listed Etf price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Listed Funds'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 Listed Funds's intrinsic value. In addition to deriving basic predictive indicators for Listed Funds, we also check how macroeconomic factors affect Listed Funds 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 Listed Funds' 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 Listed Funds 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, Listed Funds' short interest history, or implied volatility extrapolated from Listed Funds 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. | Macroaxis Index Sold over 30 shares | |
 | Sector ETFs Invested over 200 shares | |
| Industrials ETFs Sold over 500 shares | |
 | ESG Investing Invested few shares | |
 | Climate Change Invested over 100 shares | |
 | Millennials Best Invested over 100 shares | |
 | Investor Favorites Invested over 100 shares | |
 | SRI Sustainable Growth Invested over 200 shares | |
 | Gold and Gold Mining Invested over 200 shares | |
 | Disruptive Technologies Invested over 90 shares | |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Listed Funds Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Understanding Listed Funds Trust requires distinguishing between market price and book value, where the latter reflects Listed's accounting equity. The concept of intrinsic value—what Listed Funds' is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push Listed Funds' price substantially above or below its fundamental value.
Please note, there is a significant difference between Listed Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Listed Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Listed Funds' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.