K Way (Taiwan) Technical Analysis
| 5201 Stock | TWD 27.00 0.15 0.55% |
As of the 25th of November, K Way secures the mean deviation of 0.693, and Standard Deviation of 1.23. K Way Information technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the entity's future prices. Please verify K Way Information value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if K Way Information is priced adequately, providing market reflects its recent price of 27.0 per share.
K Way Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 5201, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 52015201 |
K Way 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.
K Way Information Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 K Way Information volatility. High ATR values indicate high volatility, and low values indicate low volatility.
K Way Information Trend Analysis
Use this graph to draw trend lines for K Way Information. You can use it to identify possible trend reversals for K Way 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 K Way price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.K Way Best Fit Change Line
The following chart estimates an ordinary least squares regression model for K Way Information applied against its price change over selected period. The best fit line has a slop of 0.03 , which may suggest that K Way Information market price will keep on failing further. It has 122 observation points and a regression sum of squares at 28.11, which is the sum of squared deviations for the predicted K Way price change compared to its average price change.About K Way 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 K Way Information 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 K Way Information based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on K Way Information price pattern first instead of the macroeconomic environment surrounding K Way Information. By analyzing K Way'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 K Way'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 K Way specific price patterns or momentum indicators. Please read more on our technical analysis page.
K Way November 25, 2024 Technical Indicators
Most technical analysis of 5201 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 5201 from various momentum indicators to cycle indicators. When you analyze 5201 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.60) | |||
| Mean Deviation | 0.693 | |||
| Coefficient Of Variation | (1,647) | |||
| Standard Deviation | 1.23 | |||
| Variance | 1.5 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.61) | |||
| Maximum Drawdown | 8.13 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 1.75 | |||
| Skewness | (1.26) | |||
| Kurtosis | 7.01 |
Additional Tools for 5201 Stock Analysis
When running K Way's price analysis, check to measure K Way'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 K Way is operating at the current time. Most of K Way's value examination focuses on studying past and present price action to predict the probability of K Way's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move K Way's price. Additionally, you may evaluate how the addition of K Way to your portfolios can decrease your overall portfolio volatility.