Freehold Royalties Stock Statistic Functions Beta
FRU Stock | CAD 13.69 0.06 0.44% |
Symbol |
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 Freehold Royalties correlated with the market. If Beta is less than 0 Freehold Royalties generally moves in the opposite direction as compared to the market. If Freehold Royalties Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Freehold Royalties is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Freehold Royalties is generally in the same direction as the market. If Beta > 1 Freehold Royalties moves generally in the same direction as, but more than the movement of the benchmark.
Freehold Royalties Technical Analysis Modules
Most technical analysis of Freehold Royalties 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 Freehold from various momentum indicators to cycle indicators. When you analyze Freehold 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 Freehold Royalties 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 Freehold Royalties. We use our internally-developed statistical techniques to arrive at the intrinsic value of Freehold Royalties based on widely used predictive technical indicators. In general, we focus on analyzing Freehold Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Freehold Royalties'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 Freehold Royalties's intrinsic value. In addition to deriving basic predictive indicators for Freehold Royalties, we also check how macroeconomic factors affect Freehold Royalties price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.039 | 0.0594 | 0.0789 | 0.1 | Price To Sales Ratio | 7.71 | 6.07 | 6.56 | 9.54 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Freehold Royalties' 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 Freehold Royalties 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, Freehold Royalties' short interest history, or implied volatility extrapolated from Freehold Royalties options trading.
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.Banking Invested over 30 shares | ||
Adviser Favorites Invested few shares | ||
Baby Boomer Prospects Invested over 70 shares | ||
Hedge Favorites Invested over 60 shares | ||
Momentum Invested over 60 shares | ||
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Freehold Royalties. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Complementary Tools for Freehold Stock analysis
When running Freehold Royalties' price analysis, check to measure Freehold Royalties' 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 Freehold Royalties is operating at the current time. Most of Freehold Royalties' value examination focuses on studying past and present price action to predict the probability of Freehold Royalties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Freehold Royalties' price. Additionally, you may evaluate how the addition of Freehold Royalties to your portfolios can decrease your overall portfolio volatility.
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Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |