Meta Platforms' market value is the price at which a share of Meta Platforms trades on a public exchange. It measures the collective expectations of Meta Platforms investors about its performance. Meta Platforms is trading at 41160.00 as of the 14th of January 2026, a 0.34% down since the beginning of the trading day. The stock's open price was 41300.0. With this module, you can estimate the performance of a buy and hold strategy of Meta Platforms and determine expected loss or profit from investing in Meta Platforms over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
Symbol
Meta
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.
0.00
12/15/2025
No Change 0.00
0.0
In 31 days
01/14/2026
0.00
If you would invest 0.00 in Meta Platforms on December 15, 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 30 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.
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.
Meta Platforms has Sharpe Ratio of -0.0339, which conveys that the firm had a -0.0339 % return per unit of risk over the last 3 months. Meta Platforms exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Meta Platforms' Mean Deviation of 1.82, standard deviation of 2.59, and Risk Adjusted Performance of (0.04) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.51, 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. At this point, Meta Platforms has a negative expected return of -0.0886%. Please make sure to verify Meta Platforms' skewness, accumulation distribution, and the relationship between the potential upside and kurtosis , to decide if Meta Platforms performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.26
Weak reverse predictability
Meta Platforms has weak reverse predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 15th of December 2025 to 30th of December 2025 and 30th of December 2025 to 14th of January 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 -0.26 indicates that nearly 26.0% of current Meta Platforms price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.26
Spearman Rank Test
-0.14
Residual Average
0.0
Price Variance
233.5 K
Meta Platforms lagged returns against current returns
Autocorrelation, which is Meta Platforms stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Meta Platforms' stock expected returns. We can calculate the autocorrelation of Meta Platforms returns to help us make a trade decision. For example, suppose you find that Meta Platforms has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
Meta Platforms regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Meta Platforms stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Meta Platforms stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Meta Platforms stock over time.
Current vs Lagged Prices
Timeline
Meta Platforms Lagged Returns
When evaluating Meta Platforms' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Meta Platforms stock have on its future price. Meta Platforms autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Meta Platforms autocorrelation shows the relationship between Meta Platforms stock current value and its past values and can show if there is a momentum factor associated with investing in Meta Platforms.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.