Meta Platforms (Brazil) Probability of Future Stock Price Finishing Over 59.55
| M1TA34 Stock | 132.20 3.34 2.59% |
Meta |
Meta Platforms Target Price Odds to finish over 59.55
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 above 59.55 in 90 days |
| 132.20 | 90 days | 59.55 | close to 99 |
Based on a normal probability distribution, the odds of Meta Platforms to stay above 59.55 in 90 days from now is close to 99 (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 59.55 and its current price of 132.2 at the end of the 90-day period is more than 93.0 .
Assuming the 90 days trading horizon Meta Platforms has a beta of -0.3. 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 0.3213, implying that it can generate a 0.32 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' 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 | 0.32 | |
β | Beta against Dow Jones | -0.3 | |
σ | Overall volatility | 7.92 | |
Ir | Information ratio | 0.13 |
Meta Platforms Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Meta Stock often depends not only on the future outlook of the current and 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.
Meta Platforms Technical Analysis
Meta Platforms' 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' time-series forecasting models is one of many Meta Platforms' 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' 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Meta Platforms in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Meta Platforms' short interest history, or implied volatility extrapolated from Meta Platforms options trading.
Additional Information and Resources on Investing in Meta Stock
When determining whether Meta Platforms offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Meta Platforms' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Meta Platforms Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Meta Platforms Stock:Check out Meta Platforms Backtesting, Meta Platforms Valuation, Meta Platforms Correlation, Meta Platforms Hype Analysis, Meta Platforms Volatility, Meta Platforms History as well as Meta Platforms Performance. For information on how to trade Meta Stock refer to our How to Trade Meta Stock guide.You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.