Alpha Networks (Taiwan) Technical Analysis
| 3380 Stock | TWD 36.00 0.10 0.28% |
As of the 24th of November, Alpha Networks shows the Mean Deviation of 1.52, downside deviation of 1.68, and Risk Adjusted Performance of 0.0588. Alpha Networks technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Alpha Networks downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Alpha Networks is priced correctly, providing market reflects its regular price of 36.0 per share.
Alpha Networks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Alpha, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlphaAlpha |
Alpha Networks 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.
Alpha Networks Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Alpha Networks volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Alpha Networks Trend Analysis
Use this graph to draw trend lines for Alpha Networks. You can use it to identify possible trend reversals for Alpha Networks 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 Alpha Networks price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Alpha Networks Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Alpha Networks applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Alpha Networks will continue generating value for investors. It has 122 observation points and a regression sum of squares at 30.7, which is the sum of squared deviations for the predicted Alpha Networks price change compared to its average price change.About Alpha Networks 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 Alpha Networks 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 Alpha Networks based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Alpha Networks price pattern first instead of the macroeconomic environment surrounding Alpha Networks. By analyzing Alpha Networks'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 Alpha Networks'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 Alpha Networks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Alpha Networks November 24, 2024 Technical Indicators
Most technical analysis of Alpha 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 Alpha from various momentum indicators to cycle indicators. When you analyze Alpha 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.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0588 | |||
| Market Risk Adjusted Performance | 0.5784 | |||
| Mean Deviation | 1.52 | |||
| Semi Deviation | 1.52 | |||
| Downside Deviation | 1.68 | |||
| Coefficient Of Variation | 1453.81 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.83 | |||
| Information Ratio | 0.002 | |||
| Jensen Alpha | 0.0982 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0023 | |||
| Treynor Ratio | 0.5684 | |||
| Maximum Drawdown | 8.29 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 3.69 | |||
| Downside Variance | 2.83 | |||
| Semi Variance | 2.31 | |||
| Expected Short fall | (1.93) | |||
| Skewness | 0.5289 | |||
| Kurtosis | 0.1708 |
Additional Tools for Alpha Stock Analysis
When running Alpha Networks' price analysis, check to measure Alpha Networks' 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 Alpha Networks is operating at the current time. Most of Alpha Networks' value examination focuses on studying past and present price action to predict the probability of Alpha Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Networks' price. Additionally, you may evaluate how the addition of Alpha Networks to your portfolios can decrease your overall portfolio volatility.