Information Technology (Taiwan) Volatility Indicators Average True Range

6697 Stock   44.80  0.20  0.45%   
Information Technology volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Information Technology. Information Technology 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Information Technology volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Information Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Information Technology Technical Analysis Modules

Most technical analysis of Information Technology 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 Information from various momentum indicators to cycle indicators. When you analyze Information 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 Information Technology 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 Information Technology Total. We use our internally-developed statistical techniques to arrive at the intrinsic value of Information Technology Total based on widely used predictive technical indicators. In general, we focus on analyzing Information Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Information Technology's daily price indicators and compare them against related drivers, such as volatility 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 Information Technology's intrinsic value. In addition to deriving basic predictive indicators for Information Technology, we also check how macroeconomic factors affect Information Technology price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
42.7444.8046.86
Details
Intrinsic
Valuation
LowRealHigh
43.8345.8947.95
Details
Naive
Forecast
LowNextHigh
44.1646.2248.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
43.9345.5747.21
Details

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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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Information Technology 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 Information Technology 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 Information Technology will appreciate offsetting losses from the drop in the long position's value.

Information Technology Pair Trading

Information Technology Total Pair Trading Analysis

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

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