Meta Platforms Stock Future Price Prediction

FB -  USA Stock  

USD 308.71  5.54  1.83%

Meta Platforms stock price prediction is an act of determining the future value of Meta Platforms shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Meta Platforms' 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 Meta Platforms and does not consider all of the tangible or intangible factors available from Meta Platforms' fundamental data. We analyze noise-free headlines and recent hype associated with Meta Platforms, which may create opportunities for some arbitrage if properly timed.
Please check Meta Platforms Basic Forecasting Models to cross-verify your projections.

Meta Platforms Price Prediction 

 
Refresh
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 Meta Platforms based on different types of headlines from major news networks to social media. The Meta Platforms stock price prediction module provides an analysis of price elasticity to changes in media outlook on Meta Platforms over a specific investment horizon. Using Meta Platforms hype-based prediction, you can estimate the value of Meta Platforms from the perspective of Meta Platforms response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Meta Platforms using Meta Platforms' options and short interest. It helps to benchmark the overall future attitude of investors towards Meta Platforms using crowd psychology based on the activity and movement of Meta Platforms' stock price.
Meta Platforms Long Term Debt to Equity is projected to slightly decrease based on the last few years of reporting. The past year's Long Term Debt to Equity was at 0.002783. The current year Calculated Tax Rate is expected to grow to 14.35, whereas Interest Coverage is forecasted to decline to 54.75.

Meta Platforms Implied Volatility

    
  46.29  
Meta Platforms' implied volatility exposes the market's sentiment of Meta Platforms stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Meta Platforms' 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 Meta Platforms stock will not fluctuate a lot when Meta Platforms' options are near their expiration.
This module is based on analyzing investor sentiment around taking a position in Meta Platforms. 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 Meta Platforms to buy its stock at a price that has no basis in reality. In that case, they are not buying Meta Platforms 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.

Meta Platforms after-hype prediction price

    
  $ 302.95  
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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Meta Platforms' 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 Meta Platforms in the context of predictive analytics.
Intrinsic
Valuation
LowReal ValueHigh
272.20333.04334.99
Details
Naive
Forecast
LowNext ValueHigh
292.70294.65296.59
Details
28 Analysts
Consensus
LowTarget PriceHigh
300.00390.86460.00
Details
Earnings
Estimates (12)
LowProjected EPSHigh
13.6413.9114.32
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Meta Platforms. Your research has to be compared to or analyzed against Meta Platforms' peers to derive any actionable benefits. When done correctly, Meta Platforms' 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 Meta Platforms.

Meta Platforms After-Hype Price Prediction Density Analysis

As far as predicting the price of Meta Platforms 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 Meta Platforms 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 smart people who confused the symmetrical distributions of stock prices, such as prices of Meta Platforms, with the unreliable approximations that try to describe financial returns.
 Next price density 
      Expected price to next headline 

Meta Platforms Estimiated After-Hype Price Volatility

In the context of predicting Meta Platforms' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Meta Platforms' historical news coverage. Meta Platforms' after-hype downside and upside margins for the prediction period are 301.00 and 304.90, respectively. We have considered Meta Platforms' 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
308.71
24th of January 2022
301.00
Downside
302.95
After-hype Price
304.90
Upside
Meta Platforms is very steady asset. Analysis and calculation of next after-hype price of Meta Platforms is based on 3 months time horizon.

Meta Platforms Stock Price Prediction Analysis

Have you ever been surprised when a price of a company such as Meta Platforms is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Meta Platforms 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 Meta Platforms, there might be something going there, and it might present an excellent short sale opportunity.
Daily Expected returnPeriod VolatilityHype elasticityRelated hype elasticityAverage news densityRelated news densityNext Expected Hype
 0.02  1.96  0.15   0.01  8 Events / Month5 Events / MonthIn about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
308.71302.950.17 
26.74  

Meta Platforms Hype Timeline

As of January 24, 2022 Meta Platforms is listed for 308.71. The entity has historical hype elasticity of 0.15 and average elasticity to hype of competition of 0.01. Meta Platforms is forecasted to increase in value after the next headline with price projected to jump to 302.95 or above. The average volatility of media hype impact on the company stock price is about 26.74%. The price jump on the next news is forecasted to be 0.17% whereas the daily expected return is currently at -0.02%. The volatility of related hype on Meta Platforms is about 335.04% with expected price after next announcement by competition of 308.72. The company generated the yearly revenue of 112.33 B. Reported Net Income was 40.3 B with gross profit of 69.27 B. Allowing for the 90-day total investment horizon the next forecastedpress releasewill be in about 8 days.
Please check Meta Platforms Basic Forecasting Models to cross-verify your projections.

Meta Platforms Related Hype Analysis

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

Meta Platforms Additional Predictive Modules

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

The successful prediction of Meta Platforms 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 Meta Platforms, 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 Meta Platforms based on analysis of Meta Platforms hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Meta Platforms's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Meta Platforms's related companies.
 2021 2022 (projected)
Long Term Debt to Equity0.0027830.002856
Interest Coverage68.2154.75

Story Coverage note for Meta Platforms

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

Meta Platforms Short Properties

Meta Platforms' future price predictability will typically decrease when Meta Platforms' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Meta Platforms often depends not only on the future outlook of the potential Meta Platforms' 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. Meta Platforms' indicators that are reflective of the short sentiment are summarized in the table below.
Shares Percent Shares Out0.95%
Short Percent Of Float1.12%
Float Shares2.35B
Average Daily Volume Last 10 Day19.36M
Shares Short Prior Month25.26M
Average Daily Volume In Three Month22.2M
Date Short Interest31st of December 2021
Please check Meta Platforms Basic Forecasting Models to cross-verify your projections. Note that the Meta Platforms information on this page should be used as a complementary analysis to other Meta Platforms' 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Complementary Tools for Meta Platforms Stock analysis

When running Meta Platforms price analysis, check to measure Meta Platforms' 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 Meta Platforms is operating at the current time. Most of Meta Platforms' value examination focuses on studying past and present price action to predict the probability of Meta Platforms' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Meta Platforms' price. Additionally, you may evaluate how the addition of Meta Platforms to your portfolios can decrease your overall portfolio volatility.
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Go
Focused Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Go
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Go
Bond Directory
Find actively traded corporate debentures issued by US companies
Go
Piotroski F Score
Get Piotroski F Score based on binary analysis strategy of nine different fundamentals
Go
Is Meta Platforms' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Platforms. If investors know Meta Platforms will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Meta Platforms listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Meta Platforms is measured differently than its book value, which is the value of Meta Platforms that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Platforms' value that differs from its market value or its book value, called intrinsic value, which is Meta Platforms' 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 Meta Platforms' market value can be influenced by many factors that don't directly affect Meta Platforms' 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 Meta Platforms' value and its price as these two are different measures arrived at by different means. Investors typically determine Meta Platforms value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Platforms' 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.