Listed Funds Trust Probability of Future Etf Price Finishing Over 27.41

LNGGDelisted Etf  USD 26.88  0.87  3.34%   
Listed Funds' future price is the expected price of Listed Funds instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Listed Funds Trust performance during a given time horizon utilizing its historical volatility. Check out Listed Funds Backtesting, Portfolio Optimization, Listed Funds Correlation, Listed Funds Hype Analysis, Listed Funds Volatility, Listed Funds History as well as Listed Funds Performance.
  
Please specify Listed Funds' target price for which you would like Listed Funds odds to be computed.

Listed Funds Target Price Odds to finish over 27.41

The tendency of Listed Etf price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over $ 27.41  or more in 90 days
 26.88 90 days 27.41 
near 1
Based on a normal probability distribution, the odds of Listed Funds to move over $ 27.41  or more in 90 days from now is near 1 (This Listed Funds Trust probability density function shows the probability of Listed Etf to fall within a particular range of prices over 90 days) . Probability of Listed Funds Trust price to stay between its current price of $ 26.88  and $ 27.41  at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days Listed Funds has a beta of 0.48. This indicates as returns on the market go up, Listed Funds average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Listed Funds Trust will be expected to be much smaller as well. Additionally Listed Funds Trust has an alpha of 0.0384, implying that it can generate a 0.0384 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Listed Funds Price Density   
       Price  

Predictive Modules for Listed Funds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Listed Funds Trust. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
25.7726.9428.11
Details
Intrinsic
Valuation
LowRealHigh
23.3724.5429.57
Details
Naive
Forecast
LowNextHigh
25.5526.7227.89
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
23.7125.1926.66
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Listed Funds. Your research has to be compared to or analyzed against Listed Funds' peers to derive any actionable benefits. When done correctly, Listed Funds' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Listed Funds Trust.

Listed Funds Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Listed Funds is not an exception. The market had few large corrections towards the Listed Funds' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Listed Funds Trust, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Listed Funds within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.04
β
Beta against Dow Jones0.48
σ
Overall volatility
0.66
Ir
Information ratio -0.02

Listed Funds Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Listed Funds for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Listed Funds Trust can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Listed Funds Trust has a very high chance of going through financial distress in the upcoming years
About 63.0% of the company shares are owned by institutional investors
Latest headline from news.google.com: How To Trade - Stock Traders Daily

Listed Funds Technical Analysis

Listed Funds' future price can be derived by breaking down and analyzing its technical indicators over time. Listed Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Listed Funds Trust. In general, you should focus on analyzing Listed Etf price patterns and their correlations with different microeconomic environments and drivers.

Listed Funds Predictive Forecast Models

Listed Funds' time-series forecasting models is one of many Listed Funds' etf analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Listed Funds' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the etf market movement and maximize returns from investment trading.

Things to note about Listed Funds Trust

Checking the ongoing alerts about Listed Funds for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Listed Funds Trust help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Listed Funds Trust has a very high chance of going through financial distress in the upcoming years
About 63.0% of the company shares are owned by institutional investors
Latest headline from news.google.com: How To Trade - Stock Traders Daily
Check out Listed Funds Backtesting, Portfolio Optimization, Listed Funds Correlation, Listed Funds Hype Analysis, Listed Funds Volatility, Listed Funds History as well as Listed Funds Performance.
You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

Other Consideration for investing in Listed Etf

If you are still planning to invest in Listed Funds Trust check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Listed Funds' history and understand the potential risks before investing.
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