Digital Transformation Opportunities Stock Technical Analysis
| DTOCUDelisted Stock | USD 10.36 0.00 0.00% |
As of the 30th of November, Digital Transformation shows the Mean Deviation of 0.4096, standard deviation of 1.37, and Variance of 1.89. Digital Transformation 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 Transformation 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 Transformation 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, delisted stock market cycles, or different charting patterns.
Digital Transformation Technical Analysis
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Digital Transformation Trend Analysis
Use this graph to draw trend lines for Digital Transformation Opportunities. You can use it to identify possible trend reversals for Digital Transformation 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 Transformation price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Digital Transformation Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Digital Transformation Opportunities applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Digital Transformation Opportunities will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.6, which is the sum of squared deviations for the predicted Digital Transformation price change compared to its average price change.About Digital Transformation 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 Transformation Opportunities 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 Transformation Opportunities based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Transformation price pattern first instead of the macroeconomic environment surrounding Digital Transformation. By analyzing Digital Transformation'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 Transformation'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 Transformation specific price patterns or momentum indicators. Please read more on our technical analysis page.
Digital Transformation November 30, 2024 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.5295 | |||
| Mean Deviation | 0.4096 | |||
| Coefficient Of Variation | (2,001) | |||
| Standard Deviation | 1.37 | |||
| Variance | 1.89 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | 0.5195 | |||
| Maximum Drawdown | 8.89 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.6048 | |||
| Skewness | (3.62) | |||
| Kurtosis | 28.42 |
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Consideration for investing in Digital Stock
If you are still planning to invest in Digital Transformation check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Digital Transformation's history and understand the potential risks before investing.
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