Agriculture Natural Solutions Stock Statistic Functions Beta
ANSCW Stock | 0.25 0.03 13.64% |
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The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Beta measures systematic risk based on how returns on Agriculture Natural correlated with the market. If Beta is less than 0 Agriculture Natural generally moves in the opposite direction as compared to the market. If Agriculture Natural Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Agriculture Natural is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Agriculture Natural is generally in the same direction as the market. If Beta > 1 Agriculture Natural moves generally in the same direction as, but more than the movement of the benchmark.
Agriculture Natural Technical Analysis Modules
Most technical analysis of Agriculture Natural 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 Agriculture from various momentum indicators to cycle indicators. When you analyze Agriculture 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 Agriculture Natural 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 Agriculture Natural Solutions. We use our internally-developed statistical techniques to arrive at the intrinsic value of Agriculture Natural Solutions based on widely used predictive technical indicators. In general, we focus on analyzing Agriculture Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Agriculture Natural'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 Agriculture Natural's intrinsic value. In addition to deriving basic predictive indicators for Agriculture Natural, we also check how macroeconomic factors affect Agriculture Natural price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2010 | 2023 | 2024 (projected) | Company Equity Multiplier | 25.59 | 1.04 | 0.99 | Effective Tax Rate | 1.33 | 1.2 | 1.06 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Agriculture Natural's 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.
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Additional Tools for Agriculture Stock Analysis
When running Agriculture Natural's price analysis, check to measure Agriculture Natural's 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 Agriculture Natural is operating at the current time. Most of Agriculture Natural's value examination focuses on studying past and present price action to predict the probability of Agriculture Natural's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agriculture Natural's price. Additionally, you may evaluate how the addition of Agriculture Natural to your portfolios can decrease your overall portfolio volatility.