Waste Connections Stock Technical Analysis
WCN Stock | CAD 271.42 0.59 0.22% |
As of the 1st of December, Waste Connections maintains the Downside Deviation of 0.9189, mean deviation of 0.6931, and Market Risk Adjusted Performance of 0.3058. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Waste Connections, as well as the relationship between them.
Waste Connections Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Waste, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WasteWaste |
Waste Connections 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.
Waste Connections Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Waste Connections volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Waste Connections Trend Analysis
Use this graph to draw trend lines for Waste Connections. You can use it to identify possible trend reversals for Waste Connections 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 Waste Connections price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Waste Connections Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Waste Connections applied against its price change over selected period. The best fit line has a slop of 0.39 , which means Waste Connections will continue generating value for investors. It has 122 observation points and a regression sum of squares at 5721.11, which is the sum of squared deviations for the predicted Waste Connections price change compared to its average price change.About Waste Connections 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 Waste Connections 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 Waste Connections based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Waste Connections price pattern first instead of the macroeconomic environment surrounding Waste Connections. By analyzing Waste Connections'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 Waste Connections'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 Waste Connections specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.006133 | 0.00684 | 0.006321 | 0.005458 | Price To Sales Ratio | 5.79 | 4.73 | 4.79 | 2.89 |
Waste Connections December 1, 2024 Technical Indicators
Most technical analysis of Waste 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 Waste from various momentum indicators to cycle indicators. When you analyze Waste 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 | 0.1111 | |||
Market Risk Adjusted Performance | 0.3058 | |||
Mean Deviation | 0.6931 | |||
Semi Deviation | 0.7591 | |||
Downside Deviation | 0.9189 | |||
Coefficient Of Variation | 697.56 | |||
Standard Deviation | 0.8957 | |||
Variance | 0.8022 | |||
Information Ratio | (0.01) | |||
Jensen Alpha | 0.0673 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | 0.2958 | |||
Maximum Drawdown | 3.84 | |||
Value At Risk | (1.60) | |||
Potential Upside | 1.53 | |||
Downside Variance | 0.8443 | |||
Semi Variance | 0.5763 | |||
Expected Short fall | (0.74) | |||
Skewness | (0.17) | |||
Kurtosis | 0.1091 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Waste Connections. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Waste Stock, please use our How to Invest in Waste Connections guide.You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.