S Tech (Taiwan) Momentum Indicators Williams R percentage

1584 Stock  TWD 31.90  0.25  0.79%   
S Tech momentum indicators tool provides the execution environment for running the Williams R percentage indicator and other technical functions against S Tech. S Tech 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 momentum indicators indicators. As with most other technical indicators, the Williams R percentage indicator function is designed to identify and follow existing trends. Momentum indicators of S Tech are pattern recognition functions that provide distinct formation on S Tech potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

The output start index for this execution was two with a total number of output elements of fifty-nine. The Williams %R value was developed by Larry Williams and ranges from zero to 100. The values are charted on an inverted scale. Values below 20 indicate an overbought condition for S Tech Corp and a sell signal is generated when it crosses the 20 line. Values over 80 indicate an oversold condition for S Tech and a buy signal is generated when it crosses the 80 line.

S Tech Technical Analysis Modules

Most technical analysis of S Tech 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 1584 from various momentum indicators to cycle indicators. When you analyze 1584 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 S Tech 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 S Tech Corp. We use our internally-developed statistical techniques to arrive at the intrinsic value of S Tech Corp based on widely used predictive technical indicators. In general, we focus on analyzing 1584 Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build S Tech's daily price indicators and compare them against related drivers, such as momentum 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 S Tech's intrinsic value. In addition to deriving basic predictive indicators for S Tech, we also check how macroeconomic factors affect S Tech price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
29.9131.9033.89
Details
Intrinsic
Valuation
LowRealHigh
26.4428.4335.09
Details
Naive
Forecast
LowNextHigh
28.8230.8132.80
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
31.5831.8232.05
Details

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S Tech Corp 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 S Tech 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 S Tech will appreciate offsetting losses from the drop in the long position's value.

S Tech Pair Trading

S Tech Corp Pair Trading Analysis

The ability to find closely correlated positions to S Tech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace S Tech 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 S Tech - 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 S Tech Corp to buy it.
The correlation of S Tech 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 S Tech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if S Tech Corp 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 S Tech 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 1584 Stock Analysis

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