Roots Stock Statistic Functions Beta
| RROTF Stock | USD 2.30 0.04 1.77% |
| Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Roots correlated with the market. If Beta is less than 0 Roots generally moves in the opposite direction as compared to the market. If Roots Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Roots is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Roots is generally in the same direction as the market. If Beta > 1 Roots moves generally in the same direction as, but more than the movement of the benchmark.
Roots Technical Analysis Modules
Most technical analysis of Roots 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 Roots from various momentum indicators to cycle indicators. When you analyze Roots 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Roots 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 Roots. We use our internally-developed statistical techniques to arrive at the intrinsic value of Roots based on widely used predictive technical indicators. In general, we focus on analyzing Roots Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Roots'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 Roots's intrinsic value. In addition to deriving basic predictive indicators for Roots, we also check how macroeconomic factors affect Roots price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Roots' 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 Roots 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, Roots' short interest history, or implied volatility extrapolated from Roots 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. | Target Risk ETFs Invested over 200 shares | |
| Strategy ETFs Invested over 100 shares | |
 | Macroaxis Index Invested over 500 shares | |
| Investment Grade ETFs Invested over 400 shares | |
 | Dividend Beast Invested over 100 shares | |
Other Information on Investing in Roots Pink Sheet
Roots financial ratios help investors to determine whether Roots Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Roots with respect to the benefits of owning Roots security.