San Fang (Taiwan) Volume Indicators Chaikin AD Oscillator

1307 Stock  TWD 40.20  1.15  2.94%   
San Fang volume indicators tool provides the execution environment for running the Chaikin AD Oscillator indicator and other technical functions against San Fang. San Fang 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. San Fang 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 San Fang Chemical 10-period exponential moving average of the Accumulation/Distribution Line from a 3-period exponential moving average of the Accumulation/Distribution Line.

San Fang Technical Analysis Modules

Most technical analysis of San Fang 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 San from various momentum indicators to cycle indicators. When you analyze San 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 San Fang 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 San Fang Chemical. We use our internally-developed statistical techniques to arrive at the intrinsic value of San Fang Chemical based on widely used predictive technical indicators. In general, we focus on analyzing San Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build San Fang'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 San Fang's intrinsic value. In addition to deriving basic predictive indicators for San Fang, we also check how macroeconomic factors affect San Fang price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
36.7540.2043.65
Details
Intrinsic
Valuation
LowRealHigh
32.8136.2644.22
Details
Naive
Forecast
LowNextHigh
36.7240.1743.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
38.6541.3944.13
Details

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Additional Tools for San Stock Analysis

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