Meta Platforms (Brazil) Analysis
| M1TA34 Stock | 132.80 0.14 0.11% |
Meta Platforms is undervalued with Real Value of 147.26 and Hype Value of 132.94. The main objective of Meta Platforms stock analysis is to determine its intrinsic value, which is an estimate of what Meta Platforms is worth, separate from its market price. There are two main types of Meta Platforms' stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Meta Platforms' performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Meta Platforms' stock to identify patterns and trends that may indicate its future price movements.
The Meta Platforms stock is traded in Brazil on Sao Paulo Exchange, with the market opening at 10:00:00 and closing at 18:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Brazil. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Meta Platforms' ongoing operational relationships across important fundamental and technical indicators.
Meta |
Meta Stock Analysis Notes
The book value of the company was now reported as 1.68. The company has Price/Earnings To Growth (PEG) ratio of 2.66. Meta Platforms had not issued any dividends in recent years. The entity had 14:1 split on the 22nd of October 2020. To find out more about Meta Platforms contact the company at 650 543 4800 or learn more at https://investor.fb.com.Meta Market Capitalization
The company currently falls under 'Mega-Cap' category with a current market capitalization of 2.43 T. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Meta Platforms's market, we take the total number of its shares issued and multiply it by Meta Platforms's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Meta Profitablity
Meta Platforms' profitability indicators refer to fundamental financial ratios that showcase Meta Platforms' ability to generate income relative to its revenue or operating costs. If, let's say, Meta Platforms is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Meta Platforms' executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Meta Platforms' profitability requires more research than a typical breakdown of Meta Platforms' financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.2 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.29 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.29. Technical Drivers
As of the 4th of December, Meta Platforms secures the Risk Adjusted Performance of 0.1588, downside deviation of 1.95, and Mean Deviation of 1.44. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Meta Platforms, as well as the relationship between them.Meta Platforms Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Meta Platforms middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Meta Platforms. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Meta Platforms Outstanding Bonds
Meta Platforms issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Meta Platforms uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Meta bonds can be classified according to their maturity, which is the date when Meta Platforms has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Meta Platforms Predictive Daily Indicators
Meta Platforms intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Meta Platforms stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
| Accumulation Distribution | 2147.07 | |||
| Daily Balance Of Power | (0.05) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 132.08 | |||
| Day Typical Price | 132.32 | |||
| Price Action Indicator | 0.65 | |||
| Period Momentum Indicator | (0.14) | |||
| Relative Strength Index | 48.04 |
Meta Platforms Forecast Models
Meta Platforms' time-series forecasting models are one of many Meta Platforms' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These 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 market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Meta Platforms to your portfolios without increasing risk or reducing expected return.Did you try this?
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Complementary 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.
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