Meta Platforms Stock Forecast - 4 Period Moving Average
| META Stock | 11,565 114.63 0.98% |
Momentum 44
Sell Extended
Oversold | Overbought |
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.
The 4 Period Moving Average forecasted value of Meta Platforms on the next trading day is expected to be 11,568 with a mean absolute deviation of 228.79 and the sum of the absolute errors of 13,270. Meta Platforms after-hype prediction price | MXN 11565.09 |
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.
Meta |
Meta Platforms Additional Predictive Modules
Most predictive techniques to examine Meta 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 using various technical indicators. When you analyze Meta 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Meta Platforms 4 Period Moving Average Price Forecast For the 29th of January
Given 90 days horizon, the 4 Period Moving Average forecasted value of Meta Platforms on the next trading day is expected to be 11,568 with a mean absolute deviation of 228.79, mean absolute percentage error of 86,601, and the sum of the absolute errors of 13,270.Please note that although there have been many attempts to predict Meta Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Meta Platforms' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Meta Platforms Stock Forecast Pattern
Meta Platforms Forecasted Value
In the context of forecasting Meta Platforms' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Meta Platforms' downside and upside margins for the forecasting period are 11,566 and 11,570, respectively. We have considered Meta Platforms' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Meta Platforms stock data series using in forecasting. Note that when a statistical model is used to represent Meta Platforms stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 123.9659 |
| Bias | Arithmetic mean of the errors | 26.7482 |
| MAD | Mean absolute deviation | 228.7872 |
| MAPE | Mean absolute percentage error | 0.0199 |
| SAE | Sum of the absolute errors | 13269.66 |
Predictive Modules for Meta Platforms
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meta Platforms. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Meta Platforms Estimiated After-Hype Price Volatility
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 investors 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 Stock Price Outlook 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.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.10 | 1.69 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
11,565 | 11,565 | 0.00 |
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Meta Platforms Hype Timeline
Meta Platforms is now traded for 11,565on Mexican Exchange of Mexico. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Meta is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is now at -0.1%. %. The volatility of related hype on Meta Platforms is about 0.0%, with the expected price after the next announcement by competition of 11,565. Assuming the 90 days trading horizon the next anticipated press release will be uncertain. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.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' peers 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.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PRU | Prudential Financial | 0.00 | 0 per month | 0.00 | (0.03) | 0.00 | 0.00 | 10.84 | |
| TSMN | Taiwan Semiconductor Manufacturing | 0.00 | 0 per month | 2.05 | 0.04 | 2.95 | (3.22) | 9.61 | |
| GMXT | GMxico Transportes SAB | 0.00 | 0 per month | 0.00 | (0.06) | 2.07 | (2.75) | 10.88 | |
| AMP | Ameriprise Financial | 0.00 | 0 per month | 0.00 | (0.04) | 0.00 | 0.00 | 8.41 | |
| HOMEX | Desarrolladora Homex SAB | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VZ | Verizon Communications | 0.00 | 0 per month | 0.00 | (0.13) | 1.80 | (1.98) | 5.08 | |
| CVS | CVS Health | 0.00 | 0 per month | 0.00 | (0.14) | 3.00 | (2.42) | 7.25 | |
| HOTEL | Grupo Hotelero Santa | 0.00 | 0 per month | 0.81 | 0.08 | 3.03 | (2.13) | 11.94 |
Other Forecasting Options for Meta Platforms
For every potential investor in Meta, whether a beginner or expert, Meta Platforms' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meta Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meta. Basic forecasting techniques help filter out the noise by identifying Meta Platforms' price trends.Meta Platforms Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Meta Platforms stock to make a market-neutral strategy. Peer analysis of Meta Platforms could also be used in its relative valuation, which is a method of valuing Meta Platforms by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Meta Platforms Market Strength Events
Market strength indicators help investors to evaluate how Meta Platforms stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meta Platforms shares will generate the highest return on investment. By undertsting and applying Meta Platforms stock market strength indicators, traders can identify Meta Platforms entry and exit signals to maximize returns.
| Accumulation Distribution | 74.77 | |||
| Daily Balance Of Power | (0.64) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 11588.25 | |||
| Day Typical Price | 11580.53 | |||
| Market Facilitation Index | 0.0373 | |||
| Price Action Indicator | (80.47) | |||
| Period Momentum Indicator | (114.63) | |||
| Relative Strength Index | 44.54 |
Meta Platforms Risk Indicators
The analysis of Meta Platforms' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meta Platforms' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meta stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.42 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.41 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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.
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
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Additional Tools for Meta 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 the 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.