Meta Total Revenue from 2010 to 2024

META Stock   33.12  1.27  3.69%   
Check Meta Platforms financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Meta Platforms' main balance sheet or income statement drivers, such as , as well as many indicators such as . Meta financial statements analysis is a perfect complement when working with Meta Platforms Valuation or Volatility modules.
  
This module can also supplement various Meta Platforms Technical models . Check out the analysis of Meta Platforms Correlation against competitors.
For information on how to trade Meta Stock refer to our How to Trade Meta Stock guide.

Pair Trading with Meta Platforms

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Meta Platforms position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Meta Platforms will appreciate offsetting losses from the drop in the long position's value.

Moving together with Meta Stock

  0.78AAPL Apple Inc CDRPairCorr
  0.66GOOG Alphabet CDRPairCorr
  0.65AMZN Amazon CDRPairCorr

Moving against Meta Stock

  0.44TD Toronto Dominion BankPairCorr
The ability to find closely correlated positions to Meta Platforms could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Meta Platforms when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Meta Platforms - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Meta Platforms CDR to buy it.
The correlation of Meta Platforms is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Meta Platforms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Platforms CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Meta Platforms can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Meta Stock

Meta Platforms financial ratios help investors to determine whether Meta Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Meta with respect to the benefits of owning Meta Platforms security.