Restaurant Brands International Stock Momentum Indicators Average Directional Movement Index
| QSP-UN Stock | CAD 97.31 0.07 0.07% |
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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The average directional index (ADX) measures the strength of a prevailing trend of Restaurant Brands and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Restaurant Brands ADX value usually indicates a non-trending market with low volumes, whereas a cross above 20 may indicate the start of a trend. If the ADX is over 40 and begins to fall, it can indicate the slowdown of a current trend. This indicator can also be used to identify non-trending markets, or a deterioration of an ongoing trend. Although market direction is important in its calculation, the ADX is not a directional indicator
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.| Cycle Indicators | ||
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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 momentum indicators 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 Yield | 0.0513 | 0.0406 | 0.029 | Price To Sales Ratio | 3.28 | 3.47 | 5.2 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Restaurant Brands in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Restaurant Brands' short interest history, or implied volatility extrapolated from Restaurant Brands options trading.
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Restaurant Brands International. 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. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.