Restaurant Brands International Stock Technical Analysis
| QSP-UN Stock | CAD 89.41 1.31 1.44% |
As of the 1st of February, Restaurant Brands holds the Coefficient Of Variation of (749.49), variance of 1.12, and Risk Adjusted Performance of (0.11). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Restaurant Brands, as well as the relationship between them.
Restaurant Brands Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Restaurant, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to RestaurantRestaurant |
Restaurant Brands technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Restaurant Brands Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Restaurant Brands volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Restaurant Brands Trend Analysis
Use this graph to draw trend lines for Restaurant Brands International. You can use it to identify possible trend reversals for Restaurant Brands as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Restaurant Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Restaurant Brands Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Restaurant Brands International applied against its price change over selected period. The best fit line has a slop of 0.17 , which may suggest that Restaurant Brands International market price will keep on failing further. It has 122 observation points and a regression sum of squares at 1088.07, which is the sum of squared deviations for the predicted Restaurant Brands price change compared to its average price change.About Restaurant Brands Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Restaurant Brands International on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Restaurant Brands International based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Restaurant Brands price pattern first instead of the macroeconomic environment surrounding Restaurant Brands. By analyzing Restaurant Brands's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Restaurant Brands's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Restaurant Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.0406 | 0.0366 | 0.029 | Price To Sales Ratio | 3.47 | 3.99 | 5.2 |
Restaurant Brands February 1, 2025 Technical Indicators
Most technical analysis of Restaurant 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.11) | |||
| Market Risk Adjusted Performance | (1.22) | |||
| Mean Deviation | 0.5969 | |||
| Coefficient Of Variation | (749.49) | |||
| Standard Deviation | 1.06 | |||
| Variance | 1.12 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (1.23) | |||
| Maximum Drawdown | 5.81 | |||
| Value At Risk | (2.27) | |||
| Potential Upside | 0.9873 | |||
| Skewness | (0.16) | |||
| Kurtosis | 2.84 |
Complementary 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.
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators |