Scidev (Australia) Statistic Functions Beta

SDV Stock   0.46  0.00  0.00%   
Scidev statistic functions tool provides the execution environment for running the Beta function and other technical functions against Scidev. Scidev value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Scidev statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on Scidev correlated with the market. If Beta is less than 0 Scidev generally moves in the opposite direction as compared to the market. If Scidev Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Scidev is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Scidev is generally in the same direction as the market. If Beta > 1 Scidev moves generally in the same direction as, but more than the movement of the benchmark.

Scidev Technical Analysis Modules

Most technical analysis of Scidev 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 Scidev from various momentum indicators to cycle indicators. When you analyze Scidev 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.

About Scidev 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 Scidev. We use our internally-developed statistical techniques to arrive at the intrinsic value of Scidev based on widely used predictive technical indicators. In general, we focus on analyzing Scidev Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Scidev'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 Scidev's intrinsic value. In addition to deriving basic predictive indicators for Scidev, we also check how macroeconomic factors affect Scidev price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
0.020.446.42
Details
Intrinsic
Valuation
LowRealHigh
0.020.426.40
Details
Naive
Forecast
LowNextHigh
0.010.516.49
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.010.010.01
Details

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Additional Tools for Scidev Stock Analysis

When running Scidev's price analysis, check to measure Scidev'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 Scidev is operating at the current time. Most of Scidev's value examination focuses on studying past and present price action to predict the probability of Scidev's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scidev's price. Additionally, you may evaluate how the addition of Scidev to your portfolios can decrease your overall portfolio volatility.