Twitter Stock Market Value

TWTR -  USA Stock  

USD 69.13  0.62  0.89%

Twitter's market value is the price at which a share of Twitter stock trades on a public exchange. It measures the collective expectations of Twitter investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Twitter and determine expected loss or profit from investing in Twitter over a given investment horizon. Additionally, take a look at Twitter Hype Analysis, Twitter Correlation, Twitter Valuation, Twitter Volatility, as well as analyze Twitter Alpha and Beta and Twitter Performance.
Symbol
Backtest


The market value of Twitter is measured differently than its book value, which is the value of Twitter that is recorded on the company's balance sheet. Investors also form their own opinion of Twitter's value that differs from its market value or its book value, called intrinsic value, which is Twitter'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 Twitter's market value can be influenced by many factors that don't directly affect Twitter underlying business (such as pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Twitter's value and its price as these two are different measures arrived at by different means. Investors typically determine Twitter value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Twitter'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.

Twitter 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Twitter's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Twitter.
0.00
05/04/2021
No Change 0.00  0.0 
In 3 months and 1 day
08/02/2021
0.00
If you would invest  0.00  in Twitter on May 4, 2021 and sell it all today you would earn a total of 0.00 from holding Twitter or generate 0.0% return on investment in Twitter over 90 days. Twitter is related to or competes with Weibo Corp, Omnicom, News Cp, Sirius XM, Sohu Inc, Pfizer, and General Electric. Twitter, Inc. operates as a platform for public self-expression and conversation in real time United States, Japan, and ...

Twitter Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Twitter's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Twitter upside and downside potential and time the market with a certain degree of confidence.

Twitter Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Twitter's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Twitter's standard deviation. In reality, there are many statistical measures that can use Twitter historical prices to predict the future Twitter's volatility.
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.
Hype
Prediction
LowEstimated ValueHigh
67.8969.8771.85
Details
Intrinsic
Valuation
LowReal ValueHigh
67.0068.9870.96
Details
Naive
Forecast
LowNext ValueHigh
67.9469.9271.91
Details
26 Analysts
Consensus
LowTarget PriceHigh
54.0072.7795.00
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 Backtested Returns

Twitter appears to be very steady, given 3 months investment horizon. Twitter owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the firm had 0.2% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Twitter, which you can use to evaluate the future volatility of the company. Please review Twitter's Risk Adjusted Performance of 0.0426, coefficient of variation of 2101.67, and Semi Deviation of 3.09 to confirm if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, Twitter holds a performance score of 14. The entity has a beta of 1.1716, which indicates a somewhat significant risk relative to the market. Let's try to break down what Twitter's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Twitter will likely underperform. Although it is vital to follow Twitter current price movements, it is good to be conservative about what you can do with the information regarding equity historical returns. The philosophy towards measuring future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Twitter technical indicators, you can presently evaluate if the expected return of 0.4% will be sustainable into the future. Please operates Twitter coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to make a quick decision on whether Twitter existing price patterns will revert.
AdviceVolatility TrendExposureCorrelations

Auto-correlation

    
   0.37   

Below average predictability

Twitter has below average predictability. Overlapping area represents the amount of predictability between Twitter time series from 4th of May 2021 to 18th of June 2021 and 18th of June 2021 to 2nd of August 2021. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Twitter price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Twitter price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test0.52
Residual Average0.0
Price Variance6.42

Twitter lagged returns against current returns

Autocorrelation, which is Twitter stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Twitter's stock expected returns. We can calculate the autocorrelation of Twitter returns to help us make a trade decision. For example, suppose you find that Twitter stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
 Current and Lagged Values 
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      Timeline 

Twitter regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Twitter stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Twitter stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Twitter stock over time.
 Current vs Lagged Prices 
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      Timeline 

Twitter Lagged Returns

When evaluating Twitter's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Twitter stock have on its future price. Twitter autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Twitter autocorrelation shows the relationship between Twitter stock current value and its past values and can show if there is a momentum factor associated with investing in Twitter.
 Regressed Prices 
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      Timeline 

Twitter Investors Sentiment

The influence of Twitter's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Twitter. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Current Sentiment - TWTR

Twitter Investor Sentiment

Majority of Macroaxis users are at this time bullish on Twitter. What is your outlook on investing in Twitter? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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Currently Active Assets on Macroaxis

Additionally, take a look at Twitter Hype Analysis, Twitter Correlation, Twitter Valuation, Twitter Volatility, as well as analyze Twitter Alpha and Beta and Twitter Performance. Note that the Twitter information on this page should be used as a complementary analysis to other Twitter'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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

Complementary Tools for Twitter Stock analysis

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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Twitter technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Twitter technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Twitter trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...