Mogo Inc Stock Statistic Functions Beta
| MOGO Stock | CAD 2.41 0.07 2.99% |
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The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Mogo Inc correlated with the market. If Beta is less than 0 Mogo generally moves in the opposite direction as compared to the market. If Mogo Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Mogo Inc is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Mogo is generally in the same direction as the market. If Beta > 1 Mogo moves generally in the same direction as, but more than the movement of the benchmark.
Mogo Technical Analysis Modules
Most technical analysis of Mogo 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 Mogo from various momentum indicators to cycle indicators. When you analyze Mogo 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 Mogo 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 Mogo Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Mogo Inc based on widely used predictive technical indicators. In general, we focus on analyzing Mogo Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Mogo'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 Mogo's intrinsic value. In addition to deriving basic predictive indicators for Mogo, we also check how macroeconomic factors affect Mogo price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2024 | 2025 (projected) | Dividend Yield | 0.008955 | 0.00796 | Price To Sales Ratio | 0.64 | 0.61 |
Align your values with your investing style
In addition to having Mogo in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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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. | Consumer Goods Invested over 90 shares | |
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Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mogo Inc. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.