San Fu (Taiwan) Math Operators Price Series Division

4755 Stock  TWD 122.50  1.50  1.24%   
San Fu math operators tool provides the execution environment for running the Price Series Division operator and other technical functions against San Fu. San Fu 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 math operators indicators. As with most other technical indicators, the Price Series Division operator function is designed to identify and follow existing trends and Delta Electronics. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as Delta Electronics and San Fu.

Operator
The output start index for this execution was zero with a total number of output elements of sixty-one. San Fu Chemical Price Series Division is a division of San Fu price series and its benchmark/peer.

San Fu Technical Analysis Modules

Most technical analysis of San Fu 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 Fu 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 Fu Chemical. We use our internally-developed statistical techniques to arrive at the intrinsic value of San Fu 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 Fu's daily price indicators and compare them against related drivers, such as math operators 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 Fu's intrinsic value. In addition to deriving basic predictive indicators for San Fu, we also check how macroeconomic factors affect San Fu price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
120.39122.50124.61
Details
Intrinsic
Valuation
LowRealHigh
104.36106.47134.75
Details
Naive
Forecast
LowNextHigh
112.71114.82116.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
119.63121.33123.03
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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San Fu Chemical pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if San Fu position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in San Fu will appreciate offsetting losses from the drop in the long position's value.

San Fu Pair Trading

San Fu Chemical Pair Trading Analysis

The ability to find closely correlated positions to San Fu could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace San Fu when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back San Fu - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling San Fu Chemical to buy it.
The correlation of San Fu is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as San Fu moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if San Fu Chemical moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for San Fu can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for San Stock Analysis

When running San Fu's price analysis, check to measure San Fu'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 Fu is operating at the current time. Most of San Fu's value examination focuses on studying past and present price action to predict the probability of San Fu'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 Fu's price. Additionally, you may evaluate how the addition of San Fu to your portfolios can decrease your overall portfolio volatility.