Shinih Enterprise (Taiwan) Overlap Studies Double Exponential Moving Average

9944 Stock  TWD 20.20  0.05  0.25%   
Shinih Enterprise overlap studies tool provides the execution environment for running the Double Exponential Moving Average study and other technical functions against Shinih Enterprise. Shinih Enterprise 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 overlap studies indicators. As with most other technical indicators, the Double Exponential Moving Average study function is designed to identify and follow existing trends. Shinih Enterprise overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify Time Period to run this model.

The output start index for this execution was eighteen with a total number of output elements of fourty-three. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Shinih Enterprise changes than the simple moving average.

Shinih Enterprise Technical Analysis Modules

Most technical analysis of Shinih Enterprise 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 Shinih from various momentum indicators to cycle indicators. When you analyze Shinih 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 Shinih Enterprise 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 Shinih Enterprise Co. We use our internally-developed statistical techniques to arrive at the intrinsic value of Shinih Enterprise Co based on widely used predictive technical indicators. In general, we focus on analyzing Shinih Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Shinih Enterprise's daily price indicators and compare them against related drivers, such as overlap studies 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 Shinih Enterprise's intrinsic value. In addition to deriving basic predictive indicators for Shinih Enterprise, we also check how macroeconomic factors affect Shinih Enterprise price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
19.7620.2020.64
Details
Intrinsic
Valuation
LowRealHigh
19.8720.3120.75
Details
Naive
Forecast
LowNextHigh
19.6220.0620.50
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
20.0420.3620.69
Details

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Additional Tools for Shinih Stock Analysis

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