Meta Platforms Cdr Stock Technical Analysis
| META Stock | 34.64 0.19 0.55% |
As of the 19th of February, Meta Platforms secures the Risk Adjusted Performance of 0.0409, downside deviation of 1.5, and Mean Deviation of 1.46. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Meta Platforms CDR, as well as the relationship between them. Please verify Meta Platforms CDR maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk to decide if Meta Platforms CDR is priced some-what accurately, providing market reflects its recent price of 34.64 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Meta Platforms' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Meta Platforms.
| 11/21/2025 |
| 02/19/2026 |
If you would invest 0.00 in Meta Platforms on November 21, 2025 and sell it all today you would earn a total of 0.00 from holding Meta Platforms CDR or generate 0.0% return on investment in Meta Platforms over 90 days. Meta Platforms is related to or competes with InPlay Oil, Economic Investment, Plaza Retail, and DGL Investments. Meta Platforms is entity of Canada. It is traded as Stock on NEO exchange. More
Meta Platforms Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Meta Platforms' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Meta Platforms CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.5 | |||
| Information Ratio | 0.0215 | |||
| Maximum Drawdown | 13.69 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.24 |
Meta Platforms Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Platforms' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Platforms' standard deviation. In reality, there are many statistical measures that can use Meta Platforms historical prices to predict the future Meta Platforms' volatility.| Risk Adjusted Performance | 0.0409 | |||
| Jensen Alpha | 0.0653 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.03 | |||
| Treynor Ratio | 0.1822 |
Meta Platforms February 19, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0409 | |||
| Market Risk Adjusted Performance | 0.1922 | |||
| Mean Deviation | 1.46 | |||
| Semi Deviation | 1.45 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 2280.18 | |||
| Standard Deviation | 2.09 | |||
| Variance | 4.37 | |||
| Information Ratio | 0.0215 | |||
| Jensen Alpha | 0.0653 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.03 | |||
| Treynor Ratio | 0.1822 | |||
| Maximum Drawdown | 13.69 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.24 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 2.1 | |||
| Expected Short fall | (1.75) | |||
| Skewness | 2.07 | |||
| Kurtosis | 8.26 |
Meta Platforms CDR Backtested Returns
At this point, Meta Platforms is very steady. Meta Platforms CDR has Sharpe Ratio of 0.0664, which conveys that the firm had a 0.0664 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Meta Platforms, which you can use to evaluate the volatility of the firm. Please verify Meta Platforms' Mean Deviation of 1.46, downside deviation of 1.5, and Risk Adjusted Performance of 0.0409 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. Meta Platforms has a performance score of 5 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.45, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Meta Platforms' returns are expected to increase less than the market. However, during the bear market, the loss of holding Meta Platforms is expected to be smaller as well. Meta Platforms CDR right now secures a risk of 2.17%. Please verify Meta Platforms CDR maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if Meta Platforms CDR will be following its current price movements.
Auto-correlation | 0.03 |
Virtually no predictability
Meta Platforms CDR has virtually no predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Meta Platforms CDR price movement. The serial correlation of 0.03 indicates that only 3.0% of current Meta Platforms price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 2.71 |
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 CDR Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 CDR volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 CDR 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 CDR based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Meta Platforms CDR price pattern first instead of the macroeconomic environment surrounding Meta Platforms CDR. 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 February 19, 2026 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 | 0.0409 | |||
| Market Risk Adjusted Performance | 0.1922 | |||
| Mean Deviation | 1.46 | |||
| Semi Deviation | 1.45 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 2280.18 | |||
| Standard Deviation | 2.09 | |||
| Variance | 4.37 | |||
| Information Ratio | 0.0215 | |||
| Jensen Alpha | 0.0653 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.03 | |||
| Treynor Ratio | 0.1822 | |||
| Maximum Drawdown | 13.69 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.24 | |||
| Downside Variance | 2.26 | |||
| Semi Variance | 2.1 | |||
| Expected Short fall | (1.75) | |||
| Skewness | 2.07 | |||
| Kurtosis | 8.26 |
Meta Platforms February 19, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Meta stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 1,293 | ||
| Daily Balance Of Power | 0.23 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 34.24 | ||
| Day Typical Price | 34.37 | ||
| Price Action Indicator | 0.50 |
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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