Meta Platforms (Germany) Technical Analysis
FB2A Stock | EUR 464.05 10.60 2.34% |
As of the 25th of April, Meta Platforms secures the Downside Deviation of 1.89, risk adjusted performance of 0.1018, and Mean Deviation of 1.77. Meta Platforms technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to analyze nineteen technical drivers for Meta Platforms, which can be compared to its peers in the industry. Please verify Meta Platforms information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Meta Platforms is priced some-what accurately, providing market reflects its recent price of 464.05 per share.
Meta Platforms Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Meta, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MetaMeta |
Meta Platforms technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Meta Platforms Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Meta Platforms volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Meta Platforms Trend Analysis
Use this graph to draw trend lines for Meta Platforms. You can use it to identify possible trend reversals for Meta Platforms as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Meta Platforms price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Meta Platforms Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Meta Platforms applied against its price change over selected period. The best fit line has a slop of 1.15 , which means Meta Platforms will continue generating value for investors. It has 122 observation points and a regression sum of squares at 49767.76, which is the sum of squared deviations for the predicted Meta Platforms price change compared to its average price change.About Meta Platforms Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Meta Platforms on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Meta Platforms based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Meta Platforms price pattern first instead of the macroeconomic environment surrounding Meta Platforms. By analyzing Meta Platforms's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Meta Platforms's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Meta Platforms specific price patterns or momentum indicators. Please read more on our technical analysis page.
Meta Platforms April 25, 2024 Technical Indicators
Most technical analysis of Meta help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Meta from various momentum indicators to cycle indicators. When you analyze Meta charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
Risk Adjusted Performance | 0.1018 | |||
Market Risk Adjusted Performance | 1.16 | |||
Mean Deviation | 1.77 | |||
Semi Deviation | 1.57 | |||
Downside Deviation | 1.89 | |||
Coefficient Of Variation | 664.54 | |||
Standard Deviation | 3.06 | |||
Variance | 9.37 | |||
Information Ratio | 0.1193 | |||
Jensen Alpha | 0.4171 | |||
Total Risk Alpha | 0.0318 | |||
Sortino Ratio | 0.1928 | |||
Treynor Ratio | 1.15 | |||
Maximum Drawdown | 24.58 | |||
Value At Risk | (2.23) | |||
Potential Upside | 3.38 | |||
Downside Variance | 3.59 | |||
Semi Variance | 2.47 | |||
Expected Short fall | (1.99) | |||
Skewness | 4.07 | |||
Kurtosis | 26.0 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Meta Platforms. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. For more detail on how to invest in Meta Stock please use our How to Invest in Meta Platforms guide.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 the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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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