Listed Funds Trust Etf Price Patterns
| NVIR Etf | 36.36 0.49 1.37% |
Momentum 74
Buy Stretched
Oversold | Overbought |
Using Listed Funds hype-based prediction, you can estimate the value of Listed Funds Trust from the perspective of Listed Funds response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Listed Funds to buy its etf at a price that has no basis in reality. In that case, they are not buying Listed because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell etfs at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Listed Funds after-hype prediction price | USD 36.39 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Listed Funds Basic Forecasting Models to cross-verify your projections. Listed Funds After-Hype Price Density Analysis
As far as predicting the price of Listed Funds at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Listed Funds or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of Listed Funds, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Listed Funds Estimiated After-Hype Price Volatility
In the context of predicting Listed Funds' etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Listed Funds' historical news coverage. Listed Funds' after-hype downside and upside margins for the prediction period are 35.34 and 37.44, respectively. We have considered Listed Funds' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Listed Funds is very steady at this time. Analysis and calculation of next after-hype price of Listed Funds Trust is based on 3 months time horizon.
Listed Funds Etf Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Listed Funds is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Listed Funds backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Listed Funds, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.20 | 1.05 | 0.03 | 0.02 | 3 Events / Month | 2 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
36.36 | 36.39 | 0.08 |
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Listed Funds Hype Timeline
Listed Funds Trust is now traded for 36.36. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.02. Listed is forecasted to increase in value after the next headline, with the price projected to jump to 36.39 or above. The average volatility of media hype impact on the company the price is over 100%. The price gain on the next news is projected to be 0.08%, whereas the daily expected return is now at 0.2%. The volatility of related hype on Listed Funds is about 972.22%, with the expected price after the next announcement by competition of 36.34. Given the investment horizon of 90 days the next forecasted press release will be in about 3 days. Check out Listed Funds Basic Forecasting Models to cross-verify your projections.Listed Funds Related Hype Analysis
Having access to credible news sources related to Listed Funds' direct competition is more important than ever and may enhance your ability to predict Listed Funds' future price movements. Getting to know how Listed Funds' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Listed Funds may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| EPSV | Harbor SMID Cap | 0.11 | 1 per month | 0.77 | 0.16 | 2.30 | (1.54) | 4.63 | |
| SOLR | Guinness Atkinson Funds | 0.07 | 4 per month | 1.19 | 0.02 | 1.75 | (2.08) | 4.73 | |
| USNG | Amplify Samsung Natural | 0.00 | 0 per month | 0.85 | 0.11 | 1.65 | (1.54) | 4.27 | |
| ADVE | Matthews International Funds | 0.01 | 3 per month | 0.56 | 0.09 | 1.31 | (1.14) | 3.90 | |
| ETEC | iShares Breakthrough Environmental | 0.08 | 4 per month | 1.12 | 0.05 | 2.01 | (2.04) | 5.26 | |
| IBRN | iShares Trust | (0.20) | 2 per month | 1.22 | 0.04 | 2.73 | (1.86) | 6.40 | |
| TMDV | ProShares Russell Dividend | (1.29) | 2 per month | 0.57 | 0.13 | 1.84 | (1.08) | 5.98 | |
| QCMU | Direxion Daily QCOM | 0.00 | 0 per month | 0.00 | (0.16) | 4.96 | (7.92) | 17.81 | |
| EPMV | Harbor ETF Trust | (0.09) | 2 per month | 0.61 | 0.12 | 1.98 | (1.19) | 3.99 | |
| DYLG | Global X Funds | 0.23 | 3 per month | 0.36 | 0.01 | 0.94 | (0.63) | 2.60 |
Listed Funds Additional Predictive Modules
Most predictive techniques to examine Listed price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Listed using various technical 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Listed Funds Predictive Indicators
The successful prediction of Listed Funds stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Listed Funds Trust, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Listed Funds based on analysis of Listed Funds hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Listed Funds's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Listed Funds's related companies.
Pair Trading with Listed Funds
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Listed Funds position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Listed Funds will appreciate offsetting losses from the drop in the long position's value.Moving together with Listed Etf
| 0.94 | XLE | Energy Select Sector Aggressive Push | PairCorr |
| 0.95 | VDE | Vanguard Energy Index | PairCorr |
| 0.78 | XOP | SPDR SP Oil | PairCorr |
| 0.92 | OIH | VanEck Oil Services | PairCorr |
| 0.97 | IYE | iShares Energy ETF | PairCorr |
| 0.95 | IXC | iShares Global Energy | PairCorr |
The ability to find closely correlated positions to Listed Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Listed Funds when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Listed Funds - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Listed Funds Trust to buy it.
The correlation of Listed Funds is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Listed Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Listed Funds Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Listed Funds can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Listed Funds Basic Forecasting Models to cross-verify your projections. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Listed Funds Trust's market price often diverges from its book value, the accounting figure shown on Listed's balance sheet. Smart investors calculate Listed Funds' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Since Listed Funds' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Listed Funds' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Listed Funds should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Listed Funds' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.