Digital Brands Group Stock Price Transform Average Price
| DBGIW Stock | USD 15.05 2.84 23.26% |
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The output start index for this execution was zero with a total number of output elements of sixty-one. Digital Brands Group Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.
Digital Brands Technical Analysis Modules
Most technical analysis of Digital Brands 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 other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Digital Brands Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Digital Brands Group. We use our internally-developed statistical techniques to arrive at the intrinsic value of Digital Brands Group based on widely used predictive technical indicators. In general, we focus on analyzing Digital Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Digital Brands's daily price indicators and compare them against related drivers, such as price transform and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Digital Brands's intrinsic value. In addition to deriving basic predictive indicators for Digital Brands, we also check how macroeconomic factors affect Digital Brands price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 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 |
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Digital Brands Group pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Digital Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Digital Brands will appreciate offsetting losses from the drop in the long position's value.Digital Brands Pair Trading
Digital Brands Group Pair Trading Analysis
The ability to find closely correlated positions to Digital Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Digital Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Digital Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Digital Brands Group to buy it.
The correlation of Digital Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Digital Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Digital Brands Group moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Digital Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional 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.