Gfl Environmental Holdings Stock Statistic Functions Linear Regression Intercept
| GFL Stock | CAD 66.07 0.53 0.81% |
| Symbol |
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Linear Regression Intercept is the expected mean value of Gfl Environmental price seriese where values of its benchmark or peer price series are zero.
Gfl Environmental Technical Analysis Modules
Most technical analysis of Gfl Environmental 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 Gfl from various momentum indicators to cycle indicators. When you analyze Gfl 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Gfl Environmental 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 Gfl Environmental Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of Gfl Environmental Holdings based on widely used predictive technical indicators. In general, we focus on analyzing Gfl Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Gfl Environmental's daily price indicators and compare them against related drivers, such as statistic functions 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 Gfl Environmental's intrinsic value. In addition to deriving basic predictive indicators for Gfl Environmental, we also check how macroeconomic factors affect Gfl Environmental price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 | 2025 (projected) | Dividend Yield | 0.001426 | 0.00148 | 0.001156 | 9.72E-4 | Price To Sales Ratio | 2.15 | 2.25 | 3.1 | 3.97 |
Become your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Did you try this?
Run Equity Valuation Now
Equity ValuationCheck real value of public entities based on technical and fundamental data |
| All Next | Launch Module |
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Target Risk ETFs Invested over 200 shares | |
| Strategy ETFs Invested over 100 shares | |
| Single Stock ETFs Invested over 100 shares | |
 | Macroaxis Index Invested over 500 shares | |
 | Dividend Beast Invested over 100 shares | |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Gfl Environmental Holdings. 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. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.