Digital Brands Group Stock Pattern Recognition In Neck Pattern

DBGIW Stock  USD 16.60  0.38  2.24%   
Digital Brands pattern recognition tool provides the execution environment for running the In Neck Pattern recognition and other technical functions against Digital Brands. Digital Brands value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of pattern recognition indicators. As with most other technical indicators, the In Neck Pattern recognition function is designed to identify and follow existing trends. Digital Brands momentum indicators are usually used to generate trading rules based on assumptions that Digital Brands trends in prices tend to continue for long periods.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was eleven with a total number of output elements of fifty. The function did not return any valid pattern recognition events for the selected time horizon. The In-Neck Pattern describes Digital Brands Group trend with bearish continuation signal.

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.

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 pattern recognition 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 Turnover0.710.991.111.06
Days Of Inventory On Hand214.47237.49211.42138.57
Hype
Prediction
LowEstimatedHigh
0.6118.9537.29
Details
Intrinsic
Valuation
LowRealHigh
0.5911.8830.22
Details
Naive
Forecast
LowNextHigh
0.9919.3337.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.8313.4219.00
Details

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Digital Brands in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Digital Brands' short interest history, or implied volatility extrapolated from Digital Brands options trading.

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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.