Meta Platforms Stock Technical Analysis
| META Stock | USD 668.99 22.71 3.28% |
As of the 6th of February, Meta Platforms secures the Downside Deviation of 1.65, risk adjusted performance of 0.0168, and Mean Deviation of 1.55. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Meta Platforms, as well as the relationship between them.
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 Platforms' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Meta Platforms Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 859.85 | Strong Buy | 68 | Odds |
Most Meta analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Meta stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Meta Platforms, talking to its executives and customers, or listening to Meta conference calls.
Is Interactive Media & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Platforms. Expected growth trajectory for Meta significantly influences the price investors are willing to assign. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive Meta Platforms assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Quarterly Earnings Growth 0.107 | Dividend Share 2.1 | Earnings Share 22.75 | Revenue Per Share | Quarterly Revenue Growth 0.238 |
The market value of Meta Platforms is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Platforms' value that differs from its market value or its book value, called intrinsic value, which is Meta Platforms' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Meta Platforms' market value can be influenced by many factors that don't directly affect Meta Platforms' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that Meta Platforms' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Meta Platforms represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, Meta Platforms' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
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.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Meta Platforms on November 8, 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 is related to or competes with Taiwan Semiconductor, Broadcom, Alphabet, Oracle, Cisco Systems, International Business, and Garmin. Meta Platforms, Inc. develops products that enable people to connect and share with friends and family through mobile de... 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.65 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 3.43 |
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 | 0.0168 | |||
| Jensen Alpha | 0.0212 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.47) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Platforms' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Meta Platforms February 6, 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 | 0.0168 | |||
| Market Risk Adjusted Performance | (0.46) | |||
| Mean Deviation | 1.55 | |||
| Semi Deviation | 1.62 | |||
| Downside Deviation | 1.65 | |||
| Coefficient Of Variation | 7326.5 | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.75 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0212 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.47) | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 3.43 | |||
| Downside Variance | 2.72 | |||
| Semi Variance | 2.61 | |||
| Expected Short fall | (1.79) | |||
| Skewness | 1.92 | |||
| Kurtosis | 7.08 |
Meta Platforms Backtested Returns
At this point, Meta Platforms is very steady. Meta Platforms has Sharpe Ratio of 0.0546, which conveys that the firm had a 0.0546 % 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' Downside Deviation of 1.65, mean deviation of 1.55, and Risk Adjusted Performance of 0.0168 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. Meta Platforms has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.0424, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Meta Platforms are expected to decrease at a much lower rate. During the bear market, Meta Platforms is likely to outperform the market. Meta Platforms right now secures a risk of 2.19%. Please verify Meta Platforms skewness, day typical price, and the relationship between the downside variance and daily balance of power , to decide if Meta Platforms will be following its current price movements.
Auto-correlation | 0.04 |
Virtually no predictability
Meta Platforms has virtually no predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 0.04 indicates that only as little as 4.0% of current Meta Platforms price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 843.93 |
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 fifty with a total number of output elements of eleven. 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.
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.
| 2025 | 2026 (projected) | Dividend Yield | 0.003199 | 0.00364 | Price To Sales Ratio | 8.28 | 7.87 |
Meta Platforms February 6, 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 | 0.0168 | |||
| Market Risk Adjusted Performance | (0.46) | |||
| Mean Deviation | 1.55 | |||
| Semi Deviation | 1.62 | |||
| Downside Deviation | 1.65 | |||
| Coefficient Of Variation | 7326.5 | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.75 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0212 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.47) | |||
| Maximum Drawdown | 13.36 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 3.43 | |||
| Downside Variance | 2.72 | |||
| Semi Variance | 2.61 | |||
| Expected Short fall | (1.79) | |||
| Skewness | 1.92 | |||
| Kurtosis | 7.08 |
Meta Platforms February 6, 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 | (1.06) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 678.15 | ||
| Day Typical Price | 675.09 | ||
| Price Action Indicator | (20.51) | ||
| Market Facilitation Index | 21.37 |
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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