Meta Platforms is trading at 11565.09 as of the 27th of January 2026; that is 0.98% down since the beginning of the trading day. The stock's open price was 11679.72. Meta Platforms has hardly any chance of experiencing financial distress in the next few years, but has generated negative returns over the last 90 days. The performance scores are derived for the period starting the 29th of October 2025 and ending today, the 27th of January 2026. Click here to learn more.
Although Meta Platforms' alpha and beta are two of the key measurements used to evaluate Meta Platforms' performance over the market, the standard measures of volatility play an important role as well.
The output start index for this execution was zero with a total number of output elements of sixty-one. Meta Platforms Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Meta Platforms price patterns.
Meta Platforms Predictive Daily Indicators
Meta Platforms intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Meta Platforms stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Meta Platforms' time-series forecasting models are one of many Meta Platforms' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Meta Platforms' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Meta Platforms stock to make a market-neutral strategy. Peer analysis of Meta Platforms could also be used in its relative valuation, which is a method of valuing Meta Platforms by comparing valuation metrics with similar companies.
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.