NASDAQ:DBVT
DBV Technologies S.A. Stock Price (Quote)
$0.610
-0.0040 (-0.652%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.420 | $0.730 | Friday, 24th May 2024 DBVT stock ended at $0.610. This is 0.652% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 6.26% from a day low at $0.584 to a day high of $0.620. |
90 days | $0.420 | $0.90 | |
52 weeks | $0.420 | $2.26 |
Date | Open | High | Low | Close | Volume |
Jul 10, 2020 | $4.29 | $4.30 | $4.15 | $4.20 | 103 700 |
Jul 09, 2020 | $4.36 | $4.37 | $4.24 | $4.30 | 131 000 |
Jul 08, 2020 | $4.54 | $4.58 | $4.43 | $4.50 | 99 600 |
Jul 07, 2020 | $4.50 | $4.66 | $4.47 | $4.57 | 163 900 |
Jul 06, 2020 | $4.57 | $4.59 | $4.43 | $4.51 | 95 200 |
Jul 02, 2020 | $4.59 | $4.59 | $4.43 | $4.47 | 114 289 |
Jul 01, 2020 | $4.51 | $4.61 | $4.38 | $4.49 | 206 792 |
Jun 30, 2020 | $4.44 | $4.46 | $4.25 | $4.39 | 347 352 |
Jun 29, 2020 | $4.66 | $4.66 | $4.48 | $4.63 | 209 714 |
Jun 26, 2020 | $4.61 | $4.68 | $4.52 | $4.66 | 553 137 |
Jun 25, 2020 | $5.35 | $5.50 | $5.28 | $5.40 | 148 330 |
Jun 24, 2020 | $5.50 | $5.54 | $5.37 | $5.45 | 100 471 |
Jun 23, 2020 | $5.86 | $5.93 | $5.60 | $5.60 | 187 428 |
Jun 22, 2020 | $5.42 | $5.71 | $5.32 | $5.64 | 179 167 |
Jun 19, 2020 | $5.52 | $5.56 | $5.28 | $5.37 | 136 510 |
Jun 18, 2020 | $5.43 | $5.55 | $5.34 | $5.47 | 176 731 |
Jun 17, 2020 | $5.55 | $5.67 | $5.37 | $5.39 | 99 693 |
Jun 16, 2020 | $5.67 | $5.70 | $5.45 | $5.49 | 143 450 |
Jun 15, 2020 | $5.22 | $5.63 | $5.16 | $5.49 | 131 707 |
Jun 12, 2020 | $5.49 | $5.58 | $5.19 | $5.31 | 182 705 |
Jun 11, 2020 | $5.40 | $5.41 | $5.07 | $5.16 | 143 268 |
Jun 10, 2020 | $5.62 | $5.79 | $5.57 | $5.61 | 185 103 |
Jun 09, 2020 | $5.58 | $6.04 | $5.56 | $5.93 | 341 164 |
Jun 08, 2020 | $5.83 | $5.98 | $5.68 | $5.85 | 284 693 |
Jun 05, 2020 | $5.76 | $5.76 | $5.36 | $5.46 | 536 921 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use DBVT stock historical prices to predict future price movements?
Trend Analysis: Examine the DBVT stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the DBVT stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.