Restaurant Brands International Stock Math Operators Price Series Summation

QSR Stock  USD 69.84  0.06  0.09%   
Restaurant Brands math operators tool provides the execution environment for running the Price Series Summation operator and other technical functions against Restaurant Brands. Restaurant Brands value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math operators indicators. As with most other technical indicators, the Price Series Summation operator function is designed to identify and follow existing trends and Chipotle Mexican Grill. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Chipotle Mexican Grill and Restaurant Brands.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. Restaurant Brands Price Series Summation is a cross summation of Restaurant Brands price series and its benchmark/peer.

Restaurant Brands Technical Analysis Modules

Most technical analysis of Restaurant Brands 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 Restaurant from various momentum indicators to cycle indicators. When you analyze Restaurant charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Restaurant Brands Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Restaurant Brands International. We use our internally-developed statistical techniques to arrive at the intrinsic value of Restaurant Brands International based on widely used predictive technical indicators. In general, we focus on analyzing Restaurant Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Restaurant Brands's daily price indicators and compare them against related drivers, such as math operators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Restaurant Brands's intrinsic value. In addition to deriving basic predictive indicators for Restaurant Brands, we also check how macroeconomic factors affect Restaurant Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2023 2024 (projected)
Dividend Yield0.05130.04060.029
Price To Sales Ratio3.283.475.2
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Restaurant Brands' 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.
Hype
Prediction
LowEstimatedHigh
68.5369.7871.03
Details
Intrinsic
Valuation
LowRealHigh
68.5169.7671.01
Details
Naive
Forecast
LowNextHigh
69.5270.7772.02
Details
32 Analysts
Consensus
LowTargetHigh
72.5179.6888.44
Details

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Restaurant Brands pair trading

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 Restaurant Brands 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 Restaurant Brands will appreciate offsetting losses from the drop in the long position's value.

Restaurant Brands Pair Trading

Restaurant Brands International Pair Trading Analysis

The ability to find closely correlated positions to Restaurant Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Restaurant Brands 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 Restaurant Brands - 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 Restaurant Brands International to buy it.
The correlation of Restaurant Brands 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 Restaurant Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Restaurant Brands 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 Restaurant Brands 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

Additional Tools for Restaurant Stock Analysis

When running Restaurant Brands' price analysis, check to measure Restaurant Brands' 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 Restaurant Brands is operating at the current time. Most of Restaurant Brands' value examination focuses on studying past and present price action to predict the probability of Restaurant Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Restaurant Brands' price. Additionally, you may evaluate how the addition of Restaurant Brands to your portfolios can decrease your overall portfolio volatility.