Information Technology (Taiwan) Technical Analysis
| 6697 Stock | 45.50 0.85 1.83% |
As of the 22nd of November, Information Technology retains the Downside Deviation of 1.99, risk adjusted performance of 0.0455, and Market Risk Adjusted Performance of (0.58). Information Technology technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Information Technology semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation to decide if Information Technology is priced fairly, providing market reflects its last-minute price of 45.5 per share.
Information Technology Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Information, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to InformationInformation |
Information Technology technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Information Technology Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Trend Analysis
Use this graph to draw trend lines for Information Technology Total. You can use it to identify possible trend reversals for Information Technology as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Information Technology price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Information Technology Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Information Technology Total applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Information Technology Total will continue generating value for investors. It has 122 observation points and a regression sum of squares at 159.19, which is the sum of squared deviations for the predicted Information Technology price change compared to its average price change.About Information Technology Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Information Technology Total on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Information Technology Total based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Information Technology price pattern first instead of the macroeconomic environment surrounding Information Technology. By analyzing Information Technology's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Information Technology's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Information Technology specific price patterns or momentum indicators. Please read more on our technical analysis page.
Information Technology November 22, 2024 Technical Indicators
Most technical analysis of Information 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0455 | |||
| Market Risk Adjusted Performance | (0.58) | |||
| Mean Deviation | 1.28 | |||
| Semi Deviation | 1.6 | |||
| Downside Deviation | 1.99 | |||
| Coefficient Of Variation | 1948.47 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.31 | |||
| Information Ratio | (0) | |||
| Jensen Alpha | 0.1127 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.59) | |||
| Maximum Drawdown | 15.29 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 2.33 | |||
| Downside Variance | 3.95 | |||
| Semi Variance | 2.56 | |||
| Expected Short fall | (1.67) | |||
| Skewness | 1.25 | |||
| Kurtosis | 7.75 |
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.