Twitter Stock Future Price Prediction

TWTR
 Stock
  

USD 53.70  0.21  0.39%   

Twitter stock price prediction is an act of determining the future value of Twitter shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Twitter'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 Twitter and does not consider all of the tangible or intangible factors available from Twitter's fundamental data. We analyze noise-free headlines and recent hype associated with Twitter, which may create opportunities for some arbitrage if properly timed.
Additionally, take a look at World Market Map.
  
It is a matter of debate whether stock 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 Twitter based on different types of headlines from major news networks to social media. The Twitter stock price prediction module provides an analysis of price elasticity to changes in media outlook on Twitter over a specific investment horizon.Using Twitter hype-based prediction, you can estimate the value of Twitter from the perspective of Twitter response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Twitter using Twitter's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Twitter using crowd psychology based on the activity and movement of Twitter's stock price.
Twitter Current Ratio is relatively stable at the moment as compared to the past year. Twitter reported last year Current Ratio of 5.89. As of 12/05/2022, Debt to Equity Ratio is likely to grow to 0.63, while Receivables Turnover is likely to drop 4.06.

Twitter Implied Volatility

    
  4.25  
Twitter's implied volatility exposes the market's sentiment of Twitter stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Twitter'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 Twitter stock will not fluctuate a lot when Twitter's options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Twitter. 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 Twitter to buy its stock at a price that has no basis in reality. In that case, they are not buying Twitter 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.

Twitter after-hype prediction price

    
  $ 54.31  
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.

Prediction based on Rule 16 of the current Twitter contract

Based on the Rule 16, the options market is currently suggesting that Twitter will have an average daily up or down price movement of about 0.27% per day over the life of the 2022-12-09 option contract. With Twitter trading at $53.7, that is roughly $0.14. If you think that the market is fully incorporating Twitter's daily price movement you should consider acquiring Twitter options at the current volatility level of 4.25%. 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 Twitter'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 Twitter in the context of predictive analytics.
Intrinsic
Valuation
LowReal ValueHigh
51.4255.4459.46
Details
24 Analysts
Consensus
LowTarget PriceHigh
45.0068.3195.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Twitter. Your research has to be compared to or analyzed against Twitter's peers to derive any actionable benefits. When done correctly, Twitter'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 Twitter.

Twitter After-Hype Price Prediction Density Analysis

As far as predicting the price of Twitter 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 Twitter 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 Stock prices, such as prices of Twitter, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Twitter Estimiated After-Hype Price Volatility

In the context of predicting Twitter's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Twitter's historical news coverage. Twitter's after-hype downside and upside margins for the prediction period are 50.29 and 58.33, respectively. We have considered Twitter'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 53.70
54.31
After-hype Price
58.33
Upside
Twitter is very steady asset. Analysis and calculation of next after-hype price of Twitter is based on 3 months time horizon.

Twitter Stock Price Prediction Analysis

Have you ever been surprised when a price of a company such as Twitter is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Twitter 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 Stock 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 Twitter, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.92  4.02  0.61    0.05  9 Events / Month0 Events / MonthIn about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
53.7054.311.14 
609.09  

Twitter Hype Timeline

Twitter is at this time traded for 53.70. The entity has historical hype elasticity of 0.61 and average elasticity to hype of competition of -0.05. Twitter is anticipated to increase in value after the next headline with the price projected to jump to 54.31 or above. The average volatility of media hype impact on the company stock price is over 100%. The price gain on the next news is anticipated to be 1.14% whereas the daily expected return is at this time at 0.92%. The volatility of related hype on Twitter is about 7094.12% with expected price after next announcement by competition of 53.65. The company reported the previous year's revenue of 5.23 B. Net Loss for the year was (111.78 M) with profit before overhead, payroll, taxes, and interest of 3.28 B. Given the investment horizon of 90 days the next anticipated press release will be in about 9 days.
Additionally, take a look at World Market Map.

Twitter Related Hype Analysis

Having access to credible news sources related to Twitter's direct competition is more important than ever and may enhance your ability to predict Twitter's future price movements. Getting to know how Twitter 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 Twitter may potentially react to the hype associated with one of its peers.

Twitter Additional Predictive Modules

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

The successful prediction of Twitter 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 Twitter, 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 Twitter based on analysis of Twitter hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Twitter's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Twitter's related companies.
 2019 2022 (projected)
Long Term Debt to Equity0.290.63
Interest Coverage0.410.38

Story Coverage note for Twitter

The number of cover stories for Twitter depends on current market conditions and Twitter's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Twitter 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 Twitter's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Twitter Short Properties

Twitter's future price predictability will typically decrease when Twitter's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Twitter often depends not only on the future outlook of the potential Twitter'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. Twitter's indicators that are reflective of the short sentiment are summarized in the table below.
Shares Percent Shares Out4.53%
Short Percent Of Float4.65%
Float Shares640.04M
Shares Short Prior Month33.84M
Average Daily Volume Last 10 Day34.57M
Average Daily Volume In Three Month17.95M
Date Short Interest15th of July 2022
Additionally, take a look at World Market Map. You can also try Probability Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

Other Tools for Twitter Stock

When running Twitter price analysis, check to measure Twitter'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 Twitter is operating at the current time. Most of Twitter's value examination focuses on studying past and present price action to predict the probability of Twitter's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Twitter's price. Additionally, you may evaluate how the addition of Twitter to your portfolios can decrease your overall portfolio volatility.
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