Digital Power (Korea) Technical Analysis
| 026890 Stock | 9,130 310.00 3.28% |
As of the 31st of March, Digital Power shows the Downside Deviation of 2.05, coefficient of variation of 1839.23, and Mean Deviation of 1.68. Digital Power Commun technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Digital Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Digital, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DigitalDigital |
Digital Power 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.
Digital Power Commun Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Digital Power Commun volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Digital Power Commun Trend Analysis
Use this graph to draw trend lines for Digital Power Communications. You can use it to identify possible trend reversals for Digital Power 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 Digital Power price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Digital Power Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Digital Power Communications applied against its price change over selected period. The best fit line has a slop of 11.67 , which may suggest that Digital Power Communications market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5150211.41, which is the sum of squared deviations for the predicted Digital Power price change compared to its average price change.About Digital Power 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 Digital Power Communications 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 Digital Power Communications based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Power Commun price pattern first instead of the macroeconomic environment surrounding Digital Power Commun. By analyzing Digital Power'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 Digital Power'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 Digital Power specific price patterns or momentum indicators. Please read more on our technical analysis page.
Digital Power March 31, 2025 Technical Indicators
Most technical analysis of Digital 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 Digital from various momentum indicators to cycle indicators. When you analyze Digital 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 | 0.0529 | |||
| Market Risk Adjusted Performance | 0.2083 | |||
| Mean Deviation | 1.68 | |||
| Semi Deviation | 1.86 | |||
| Downside Deviation | 2.05 | |||
| Coefficient Of Variation | 1839.23 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.23 | |||
| Information Ratio | 0.0735 | |||
| Jensen Alpha | 0.1454 | |||
| Total Risk Alpha | 0.2577 | |||
| Sortino Ratio | 0.0822 | |||
| Treynor Ratio | 0.1983 | |||
| Maximum Drawdown | 8.46 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 3.46 | |||
| Downside Variance | 4.18 | |||
| Semi Variance | 3.46 | |||
| Expected Short fall | (1.91) | |||
| Skewness | 0.818 | |||
| Kurtosis | 2.12 |
Digital Power March 31, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Digital stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.06 | ||
| Daily Balance Of Power | (0.53) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 9,320 | ||
| Day Typical Price | 9,257 | ||
| Price Action Indicator | (345.00) | ||
| Market Facilitation Index | 580.00 |
Complementary Tools for Digital Stock analysis
When running Digital Power's price analysis, check to measure Digital Power'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 Digital Power is operating at the current time. Most of Digital Power's value examination focuses on studying past and present price action to predict the probability of Digital Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Power's price. Additionally, you may evaluate how the addition of Digital Power to your portfolios can decrease your overall portfolio volatility.
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