Listed Funds Trust Etf Price Patterns

OVT Etf  USD 22.02  0.01  0.05%   
The relative strength momentum indicator of Listed Funds' etf price is slightly above 63. This indicates that the etf is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Listed, making its price go up or down.

Momentum 63

 Buy Extended

 
Oversold
 
Overbought
The successful prediction of Listed Funds' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Listed Funds Trust, which may create opportunities for some arbitrage if properly timed.
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. We also analyze overall investor sentiment towards Listed Funds using Listed Funds' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Listed using crowd psychology based on the activity and movement of Listed Funds' stock price.

Listed Funds Implied Volatility

    
  0.35  
Listed Funds' implied volatility exposes the market's sentiment of Listed Funds Trust stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Listed Funds' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Listed Funds stock will not fluctuate a lot when Listed Funds' options are near their expiration.
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 22.02  
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.

Prediction based on Rule 16 of the current Listed contract

Based on the Rule 16, the options market is currently suggesting that Listed Funds Trust will have an average daily up or down price movement of about 0.0219% per day over the life of the 2026-02-20 option contract. With Listed Funds trading at USD 22.02, that is roughly USD 0.004817 . If you think that the market is fully incorporating Listed Funds' daily price movement you should consider acquiring Listed Funds Trust options at the current volatility level of 0.35%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Check out Listed Funds Basic Forecasting Models to cross-verify your projections.
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.
Intrinsic
Valuation
LowRealHigh
21.6921.9422.19
Details
Naive
Forecast
LowNextHigh
21.7722.0322.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
21.8221.9322.04
Details

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 21.77 and 22.27, 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 outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
22.02
22.02
After-hype Price
22.27
Upside
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 ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.04 
0.25
 0.00  
 0.00  
1 Events / Month
3 Events / Month
Very soon
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
22.02
22.02
0.00 
250.00  
Notes

Listed Funds Hype Timeline

On the 31st of January Listed Funds Trust is traded for 22.02. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Listed is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is now at 0.04%. %. The volatility of related hype on Listed Funds is about 961.54%, with the expected price after the next announcement by competition of 22.02. Considering the 90-day investment horizon the next anticipated press release will be very soon.
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.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
OVBOverlay Shares Core(0.03)1 per month 0.41 (0.11) 0.54 (0.58) 2.53 
XFLXFundX Investment Trust(0.23)2 per month 0.17 (0.25) 0.40 (0.36) 0.99 
KOOLSpinnaker ETF Series(0.08)3 per month 0.84  0  1.12 (1.66) 3.22 
SIXFAIM ETF Products 0.14 1 per month 0.20 (0.05) 0.45 (0.60) 1.43 
XRLXFundX Investment Trust 0.13 4 per month 0.46 (0.06) 0.73 (0.85) 2.37 
FTCEFirst Trust Exchange Traded(0.16)2 per month 0.67 (0.01) 1.12 (1.40) 2.95 
PAWZProShares Pet Care 0.21 1 per month 0.00 (0.1) 1.08 (1.36) 5.00 
PSFDPacer Swan SOS(0.06)2 per month 0.26 (0.03) 0.53 (0.53) 2.31 
PSETPrincipal Quality ETF(0.03)4 per month 0.00 (0.11) 1.13 (1.14) 3.83 
PUIInvesco DWA Utilities(0.15)3 per month 0.00 (0.14) 1.29 (1.70) 3.64 

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.

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.

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When determining whether Listed Funds Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Listed Funds' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Listed Funds Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Listed Funds Trust Etf:
Check out Listed Funds Basic Forecasting Models to cross-verify your projections.
You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Market sentiment, economic cycles, and investor behavior can push Listed Funds' price substantially above or below its 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. In contrast, Listed Funds' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.