Dbv Technologies Stock Pattern Recognition Takuri Dragonfly Doji with very long lower shadow
| DBVT Stock | USD 3.90 3.29 539.34% |
| Symbol |
Recognition |
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of two valid pattern recognition events for the selected time horizon. Takuri (The Dragonfly Doji pattern signals indecision among DBV Technologies traders. The Dragonfly Doji with very long lower shadow pattern indicates that DBV Technologies direction of the trend may be nearing a major turning point.)
DBV Technologies Technical Analysis Modules
Most technical analysis of DBV Technologies 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 DBV from various momentum indicators to cycle indicators. When you analyze DBV 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About DBV Technologies 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 DBV Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of DBV Technologies based on widely used predictive technical indicators. In general, we focus on analyzing DBV Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build DBV Technologies'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 DBV Technologies's intrinsic value. In addition to deriving basic predictive indicators for DBV Technologies, we also check how macroeconomic factors affect DBV Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 798.0 | 718.2 | 682.29 | PTB Ratio | 1.34 | 1.39 | 1.32 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DBV Technologies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for DBV Stock Analysis
When running DBV Technologies' price analysis, check to measure DBV Technologies' 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 DBV Technologies is operating at the current time. Most of DBV Technologies' value examination focuses on studying past and present price action to predict the probability of DBV Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DBV Technologies' price. Additionally, you may evaluate how the addition of DBV Technologies to your portfolios can decrease your overall portfolio volatility.