Meta Platforms, (Argentina) Probability of Future Stock Price Finishing Under 30735.66
| META Stock | 29,500 125.00 0.43% |
Meta |
Meta Platforms, Target Price Odds to finish below 30735.66
The tendency of Meta Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under 30,736 after 90 days |
| 29,500 | 90 days | 30,736 | about 98.0 |
Based on a normal probability distribution, the odds of Meta Platforms, to stay under 30,736 after 90 days from now is about 98.0 (This Meta Platforms, probability density function shows the probability of Meta Stock to fall within a particular range of prices over 90 days) . Probability of Meta Platforms, price to stay between its current price of 29,500 and 30,736 at the end of the 90-day period is about 12.61 .
Assuming the 90 days trading horizon Meta Platforms, has a beta of -0.25. This indicates as returns on the benchmark increase, returns on holding Meta Platforms, are expected to decrease at a much lower rate. During a bear market, however, Meta Platforms, is likely to outperform the market. Additionally Meta Platforms, has an alpha of 0.0499, implying that it can generate a 0.0499 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Meta Platforms, Price Density |
| Price |
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, Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Meta Platforms, is not an exception. The market had few large corrections towards the Meta Platforms,'s value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Meta Platforms,, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Meta Platforms, within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.05 | |
β | Beta against Dow Jones | -0.25 | |
σ | Overall volatility | 1,178 | |
Ir | Information ratio | 0.03 |
Meta Platforms, Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Meta Platforms, for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Meta Platforms, can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Meta Platforms, generated a negative expected return over the last 90 days |
Meta Platforms, Technical Analysis
Meta Platforms,'s future price can be derived by breaking down and analyzing its technical indicators over time. Meta Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Meta Platforms,. In general, you should focus on analyzing Meta Stock price patterns and their correlations with different microeconomic environments and drivers.
Meta Platforms, Predictive Forecast Models
Meta Platforms,'s time-series forecasting models is one of many Meta Platforms,'s stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Meta Platforms,'s historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Meta Platforms,
Checking the ongoing alerts about Meta Platforms, for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Meta Platforms, help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Meta Platforms, generated a negative expected return over the last 90 days |