Meta Platforms (Germany) Price on November 22, 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 29th 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 0.13, which conveys that the firm had a 0.13% 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 0.115, downside deviation of 1.72, and Mean Deviation of 1.24 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.
Meta |
Sharpe Ratio = 0.1268
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Estimated Market Risk
| 1.66 actual daily | 14 86% of assets are more volatile |
Expected Return
| 0.21 actual daily | 4 96% of assets have higher returns |
Risk-Adjusted Return
| 0.13 actual daily | 9 91% of assets perform better |
Based on monthly moving average Meta Platforms is performing at about 9% 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 November 22, 2024
It is possible to determine the worth of Meta Platforms on a given historical date. On November 22, 2024 Meta was worth 536.8 at the beginning of the trading date compared to the closed value of 536.6. 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 | |
| 537.00 | 541.90 | 522.00 | 536.40 | 449.00 | |
11/22/2024 | 536.80 | 541.80 | 533.90 | 536.60 | 308.00 |
| 535.70 | 543.30 | 532.30 | 533.70 | 1,076 |
| Backtest Meta Platforms | | | Meta Platforms History | | | Meta Platforms Valuation | Previous | Next |
Meta Platforms Trading Date Momentum on November 22, 2024
| On November 25 2024 Meta Platforms was traded for 533.70 at the closing time. The maximum traded price for the trading interval was 543.30 and the lowest daily price was 532.30 . The daily volume was recorded at 1.1 K. The volume of trading on 25th of November 2024 played a part in the next trading day price drop. The overall trading delta to the next closing price was 0.54% . The trading delta at closing time to the closing price today is 0.54% . |
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.
Price Boundaries
Meta Platforms Period Price Range
Low | November 29, 2024
| High |
0.00 | 0.00 |
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 29, 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.
| Risk Adjusted Performance | 0.115 | |||
| Jensen Alpha | 0.229 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0567 | |||
| Treynor Ratio | (7.05) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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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