Meta Platforms (Germany) Price on May 13, 2024

FB2A Stock  EUR 541.90  1.70  0.31%   
If you're considering investing in Meta Stock, it is important to understand the factors that can impact its price. As of today, the current price of Meta Platforms stands at 541.90, as last reported on the 30th of November, with the highest price reaching 546.80 and the lowest price hitting 538.90 during the day. Meta Platforms appears to be very steady, given 3 months investment horizon. Meta Platforms has Sharpe Ratio of 0.14, which conveys that the firm had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Meta Platforms, which you can use to evaluate the volatility of the firm. Please exercise Meta Platforms' Risk Adjusted Performance of 0.1107, downside deviation of 1.72, and Mean Deviation of 1.23 to check out if our risk estimates are consistent with your expectations.
  
Meta Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.1363

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Estimated Market Risk

 1.65
  actual daily
14
86% of assets are more volatile

Expected Return

 0.22
  actual daily
4
96% of assets have higher returns

Risk-Adjusted Return

 0.14
  actual daily
10
90% of assets perform better
Based on monthly moving average Meta Platforms is performing at about 10% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Meta Platforms by adding it to a well-diversified portfolio.

Meta Platforms Valuation on May 13, 2024

It is possible to determine the worth of Meta Platforms on a given historical date. On May 13, 2024 Meta was worth 441.61 at the beginning of the trading date compared to the closed value of 431.73. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Meta Platforms stock. Still, in general, we apply an absolute valuation method to find Meta Platforms' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Meta Platforms where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Meta Platforms' related companies.
 Open High Low Close Volume
  440.17    443.26    437.67    439.07    1,139  
05/13/2024
  441.61    441.61    428.74    431.73    1,072  
  430.14    434.73    425.60    434.08    764.00  
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Open Value
441.61
436.66
Downside
431.73
Closing Value
446.56
Upside

Meta Platforms Trading Date Momentum on May 13, 2024

On May 14 2024 Meta Platforms was traded for  434.08  at the closing time. The maximum traded price for the trading interval was 434.73  and the lowest daily price was  425.60 . The daily volume was recorded at 764. The volume of trading on 14th of May 2024 played a part in the next trading day price rise. The overall trading delta to the next closing price was 0.54% . The trading delta at closing time to the closing price today is 0.67% .

Meta Platforms Fundamentals Correlations and Trends

By evaluating Meta Platforms' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Meta Platforms' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Meta financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Meta Platforms Stock history

Meta Platforms investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Meta is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Meta Platforms will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Meta Platforms stock prices may prove useful in developing a viable investing in Meta Platforms
Facebook, Inc. develops products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality headsets, and in-home devices worldwide. Facebook, Inc. was founded in 2004 and is headquartered in Menlo Park, California. FACEBOOK INC operates under Internet Content Information classification in Germany and is traded on Frankfurt Stock Exchange. It employs 63404 people.

Meta Platforms Stock Technical Analysis

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.
A focus of Meta Platforms technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Meta Platforms trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Meta Platforms Period Price Range

Low
November 30, 2024
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Meta Platforms cannot be verified against its exchange. Please verify the symbol is currently traded on Frankfurt Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Meta Platforms November 30, 2024 Market Strength

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

Meta Platforms Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Meta Platforms' price direction in advance. Along with the technical and fundamental analysis of Meta Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Meta to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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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