Digital Brands Group Stock Technical Analysis
DBGI Stock | USD 0.11 0.01 8.33% |
As of the 26th of November, Digital Brands shows the Mean Deviation of 10.89, variance of 259.83, and Standard Deviation of 16.12. Digital Brands Group 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 Brands 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 Brands 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 Brands Group 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 Brands Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Digital Brands Group Trend Analysis
Use this graph to draw trend lines for Digital Brands Group. You can use it to identify possible trend reversals for Digital Brands 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 Brands price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Digital Brands Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Digital Brands Group applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Digital Brands Group market price will keep on failing further. It has 122 observation points and a regression sum of squares at 5.1, which is the sum of squared deviations for the predicted Digital Brands price change compared to its average price change.About Digital Brands 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 Brands Group 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 Brands Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Brands Group price pattern first instead of the macroeconomic environment surrounding Digital Brands Group. By analyzing Digital Brands'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 Brands'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 Brands specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 0.71 | 0.99 | 1.11 | 1.06 | Days Of Inventory On Hand | 214.47 | 237.49 | 211.42 | 138.57 |
Digital Brands November 26, 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 | (0.07) | |||
Market Risk Adjusted Performance | (2.55) | |||
Mean Deviation | 10.89 | |||
Coefficient Of Variation | (921.09) | |||
Standard Deviation | 16.12 | |||
Variance | 259.83 | |||
Information Ratio | (0.12) | |||
Jensen Alpha | (1.84) | |||
Total Risk Alpha | (4.30) | |||
Treynor Ratio | (2.56) | |||
Maximum Drawdown | 88.95 | |||
Value At Risk | (29.29) | |||
Potential Upside | 21.33 | |||
Skewness | 0.8164 | |||
Kurtosis | 2.44 |
Digital Brands November 26, 2024 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 | 836,974 | ||
Daily Balance Of Power | (1.00) | ||
Rate Of Daily Change | 0.92 | ||
Day Median Price | 0.12 | ||
Day Typical Price | 0.11 | ||
Price Action Indicator | (0.01) |
Complementary Tools for Digital Stock analysis
When running Digital Brands' price analysis, check to measure Digital Brands' 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 Brands is operating at the current time. Most of Digital Brands' value examination focuses on studying past and present price action to predict the probability of Digital Brands' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Brands' price. Additionally, you may evaluate how the addition of Digital Brands to your portfolios can decrease your overall portfolio volatility.
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |