Digitaltown Stock Statistic Functions Beta
DigitalTown statistic functions tool provides the execution environment for running the Beta function and other technical functions against DigitalTown. DigitalTown 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. DigitalTown 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.
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on DigitalTown correlated with the market. If Beta is less than 0 DigitalTown generally moves in the opposite direction as compared to the market. If DigitalTown Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one DigitalTown is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of DigitalTown is generally in the same direction as the market. If Beta > 1 DigitalTown moves generally in the same direction as, but more than the movement of the benchmark.
DigitalTown Technical Analysis Modules
Most technical analysis of DigitalTown 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 DigitalTown from various momentum indicators to cycle indicators. When you analyze DigitalTown 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 DigitalTown 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 DigitalTown. We use our internally-developed statistical techniques to arrive at the intrinsic value of DigitalTown based on widely used predictive technical indicators. In general, we focus on analyzing DigitalTown Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build DigitalTown'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 DigitalTown's intrinsic value. In addition to deriving basic predictive indicators for DigitalTown, we also check how macroeconomic factors affect DigitalTown 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 DigitalTown'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 DigitalTown Pink Sheet Analysis
When running DigitalTown's price analysis, check to measure DigitalTown'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 DigitalTown is operating at the current time. Most of DigitalTown's value examination focuses on studying past and present price action to predict the probability of DigitalTown's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DigitalTown's price. Additionally, you may evaluate how the addition of DigitalTown to your portfolios can decrease your overall portfolio volatility.