BAD ETF Etf Price Prediction Breakdown

BAD
 Etf
  

USD 13.58  0.16  1.19%   

BAD ETF etf price prediction is an act of determining the future value of BAD ETF shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of BAD ETF's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of BAD ETF and does not consider all of the tangible or intangible factors available from BAD ETF's fundamental data. We analyze noise-free headlines and recent hype associated with BAD ETF, which may create opportunities for some arbitrage if properly timed.
Continue to BAD ETF Basic Forecasting Models to cross-verify your projections.
  
It is a matter of debate whether etf price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of BAD ETF based on different types of headlines from major news networks to social media. The BAD ETF price prediction module provides an analysis of price elasticity to changes in media outlook on BAD ETF over a specific investment horizon.Using BAD ETF hype-based prediction, you can estimate the value of BAD ETF from the perspective of BAD ETF response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards BAD ETF using BAD ETF's stock options and short interest. It helps to benchmark the overall future attitude of investors towards BAD ETF using crowd psychology based on the activity and movement of BAD ETF's stock price.

BAD ETF Implied Volatility

    
  0.0  
BAD ETF's implied volatility exposes the market's sentiment of BAD ETF stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if BAD ETF's 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 BAD ETF stock will not fluctuate a lot when BAD ETF's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in BAD ETF. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in BAD ETF to buy its etf at a price that has no basis in reality. In that case, they are not buying BAD ETF 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.

BAD ETF after-hype prediction price

    
  USD 13.58  
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 BAD ETF contract

Based on the Rule 16, the options market is currently suggesting that BAD ETF will have an average daily up or down price movement of about 0.0% per day over the life of the 2022-12-16 option contract. With BAD ETF trading at USD13.58, that is roughly USD0.0. If you think that the market is fully incorporating BAD ETF's daily price movement you should consider acquiring BAD ETF options at the current volatility level of 0.0%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of BAD ETF'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. Please use the tools below to analyze the current value of BAD ETF in the context of predictive analytics.
Intrinsic
Valuation
LowReal ValueHigh
11.5413.2614.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BAD ETF. Your research has to be compared to or analyzed against BAD ETF's peers to derive any actionable benefits. When done correctly, BAD ETF's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in BAD ETF.

BAD ETF After-Hype Price Prediction Density Analysis

As far as predicting the price of BAD ETF 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 BAD ETF 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 BAD ETF, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

BAD ETF Estimiated After-Hype Price Volatility

In the context of predicting BAD ETF's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BAD ETF's historical news coverage. BAD ETF's after-hype downside and upside margins for the prediction period are 11.86 and 15.30, respectively. We have considered BAD ETF's 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 13.58
13.58
After-hype Price
15.30
Upside
BAD ETF is not too volatile asset. Analysis and calculation of next after-hype price of BAD ETF is based on 3 months time horizon.

BAD ETF Etf Price Prediction Analysis

Have you ever been surprised when a price of a ETF such as BAD ETF is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BAD ETF 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 BAD ETF, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.25  1.72  0.00   0.00  0 Events / Month0 Events / MonthIn 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
13.5813.580.00 
0.00  

BAD ETF Hype Timeline

On the 2nd of December BAD ETF is traded for 13.58. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. BAD ETF forecasted not to react to the next headline with the price going to stay at about the same level and average media hype impact volatility of insignificant. The immediate return on the next newsis forecasted to be very small whereas the daily expected return is currently at 0.25%. The volatility of relative hype elasticity to BAD ETF is about 0.0%. The volatility of related hype on BAD ETF is about 0.0% with expected price after next announcement by competition of 13.58. The company had not issued any dividends in recent years. Considering the 90-day investment horizon the next forecasted press release will be in 5 to 10 days.
Continue to BAD ETF Basic Forecasting Models to cross-verify your projections.

BAD ETF Related Hype Analysis

Having access to credible news sources related to BAD ETF's direct competition is more important than ever and may enhance your ability to predict BAD ETF's future price movements. Getting to know how BAD ETF rivals 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 BAD ETF 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
NWHUFNorthwest Healthcare Properties 0.00 0 per month 0.00 (0.19)  3.17 (4.18)  10.09 

BAD ETF Additional Predictive Modules

Most predictive techniques to examine BAD ETF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BAD ETF using various technical indicators. When you analyze BAD ETF 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 BAD ETF Predictive Indicators

The successful prediction of BAD ETF 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 BAD ETF, 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 BAD ETF based on analysis of BAD ETF hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to BAD ETF's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to BAD ETF's related companies.

Story Coverage note for BAD ETF

The number of cover stories for BAD ETF depends on current market conditions and BAD ETF's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BAD ETF is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about BAD ETF's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

BAD ETF Short Properties

BAD ETF's future price predictability will typically decrease when BAD ETF's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of BAD ETF often depends not only on the future outlook of the potential BAD ETF's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. BAD ETF's indicators that are reflective of the short sentiment are summarized in the table below.
Average Daily Volume Last 10 Day1.08k
Average Daily Volume In Three Month1.72k
Continue to BAD ETF Basic Forecasting Models to cross-verify your projections. Note that the BAD ETF information on this page should be used as a complementary analysis to other BAD ETF's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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When running BAD ETF price analysis, check to measure BAD ETF's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BAD ETF is operating at the current time. Most of BAD ETF's value examination focuses on studying past and present price action to predict the probability of BAD ETF's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move BAD ETF's price. Additionally, you may evaluate how the addition of BAD ETF to your portfolios can decrease your overall portfolio volatility.
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The market value of BAD ETF is measured differently than its book value, which is the value of BAD ETF that is recorded on the company's balance sheet. Investors also form their own opinion of BAD ETF's value that differs from its market value or its book value, called intrinsic value, which is BAD ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because BAD ETF's market value can be influenced by many factors that don't directly affect BAD ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between BAD ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine BAD ETF value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BAD ETF's 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.