Wah Lee (Taiwan) Volume Indicators Chaikin AD Oscillator

3010 Stock  TWD 120.50  1.50  1.23%   
Wah Lee volume indicators tool provides the execution environment for running the Chaikin AD Oscillator indicator and other technical functions against Wah Lee. Wah Lee 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 volume indicators indicators. As with most other technical indicators, the Chaikin AD Oscillator indicator function is designed to identify and follow existing trends. Wah Lee volume indicators are based on Chaikin accumulation (buying pressure) and distribution (selling pressure) factors to determine the likely sustainability of a given price move. Please specify Fast Period and Slow Period to execute this module.

Indicator
Fast Period
Slow Period
Execute Indicator
The output start index for this execution was nine with a total number of output elements of fifty-two. The Accumulation/Distribution Oscillator was developed by Marc Chaikin. It is a moving average oscillator based on the Accumulation/Distribution indicator. The Chaikin Oscillator is created by subtracting Wah Lee Industrial 10-period exponential moving average of the Accumulation/Distribution Line from a 3-period exponential moving average of the Accumulation/Distribution Line.

Wah Lee Technical Analysis Modules

Most technical analysis of Wah Lee 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 Wah from various momentum indicators to cycle indicators. When you analyze Wah 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 Wah Lee 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 Wah Lee Industrial. We use our internally-developed statistical techniques to arrive at the intrinsic value of Wah Lee Industrial based on widely used predictive technical indicators. In general, we focus on analyzing Wah Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Wah Lee's daily price indicators and compare them against related drivers, such as volume indicators 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 Wah Lee's intrinsic value. In addition to deriving basic predictive indicators for Wah Lee, we also check how macroeconomic factors affect Wah Lee price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
119.02120.50121.98
Details
Intrinsic
Valuation
LowRealHigh
108.45122.12123.61
Details
Naive
Forecast
LowNextHigh
116.95118.43119.90
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
118.71123.69128.67
Details

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Additional Tools for Wah Stock Analysis

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