Meta Platforms (Argentina) Technical Analysis
| META Stock | 42,020 880.00 2.05% |
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.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Meta Platforms on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Meta Platforms or generate 0.0% return on investment in Meta Platforms over 90 days.
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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 12.54 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.15 |
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 | (0.03) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.18) |
Meta Platforms February 12, 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 1.82 | |||
| Coefficient Of Variation | (2,180) | |||
| Standard Deviation | 2.68 | |||
| Variance | 7.16 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 12.54 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.15 | |||
| Skewness | 0.1661 | |||
| Kurtosis | 5.83 |
Meta Platforms Backtested Returns
Meta Platforms appears to be very steady, given 3 months investment horizon. Meta Platforms has Sharpe Ratio of 0.0891, which conveys that the firm had a 0.0891 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Meta Platforms, which you can use to evaluate the volatility of the firm. Please exercise Meta Platforms' Standard Deviation of 2.68, mean deviation of 1.82, and Risk Adjusted Performance of (0.03) to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Meta Platforms holds a performance score of 7. The company secures a Beta (Market Risk) of 0.74, 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. Please check Meta Platforms' skewness, accumulation distribution, and the relationship between the potential upside and kurtosis , to make a quick decision on whether Meta Platforms' current price movements will revert.
Auto-correlation | 0.05 |
Virtually no predictability
Meta Platforms has virtually no predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current Meta Platforms price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 3.3 M |
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 one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Meta Platforms across different markets.
Meta Platforms February 12, 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.17) | |||
| Mean Deviation | 1.82 | |||
| Coefficient Of Variation | (2,180) | |||
| Standard Deviation | 2.68 | |||
| Variance | 7.16 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.18) | |||
| Maximum Drawdown | 12.54 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.15 | |||
| Skewness | 0.1661 | |||
| Kurtosis | 5.83 |
Meta Platforms February 12, 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 | 0.03 | ||
| Daily Balance Of Power | (0.63) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 42,300 | ||
| Day Typical Price | 42,207 | ||
| Price Action Indicator | (720.00) | ||
| Market Facilitation Index | 1,400 |
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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