3.78€
-0.0480 (-1.25%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 3.65€ | 4.30€ | Tuesday, 18th Nov 2025 VLA.PA stock ended at 3.78€. This is 1.25% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.89% from a day low at 3.74€ to a day high of 3.85€. |
| 90 days | 3.46€ | 5.34€ | |
| 52 weeks | 1.73€ | 5.42€ |
Historical Valneva SE prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | 3.77€ | 3.85€ | 3.74€ | 3.78€ | 397 209 |
| Nov 17, 2025 | 3.94€ | 3.94€ | 3.81€ | 3.83€ | 389 542 |
| Nov 14, 2025 | 3.88€ | 3.92€ | 3.79€ | 3.87€ | 503 804 |
| Nov 13, 2025 | 3.90€ | 4.11€ | 3.90€ | 3.97€ | 950 905 |
| Nov 12, 2025 | 3.83€ | 3.97€ | 3.83€ | 3.91€ | 597 540 |
| Nov 11, 2025 | 3.73€ | 3.86€ | 3.67€ | 3.84€ | 488 066 |
| Nov 10, 2025 | 3.79€ | 3.87€ | 3.70€ | 3.72€ | 621 605 |
| Nov 07, 2025 | 3.84€ | 3.84€ | 3.65€ | 3.66€ | 572 263 |
| Nov 06, 2025 | 3.90€ | 3.90€ | 3.75€ | 3.79€ | 664 684 |
| Nov 05, 2025 | 3.94€ | 3.94€ | 3.84€ | 3.87€ | 394 754 |
| Nov 04, 2025 | 3.94€ | 4.03€ | 3.91€ | 3.98€ | 402 612 |
| Nov 03, 2025 | 4.05€ | 4.05€ | 3.88€ | 3.90€ | 678 671 |
| Oct 31, 2025 | 4.00€ | 4.13€ | 4.00€ | 4.04€ | 903 980 |
| Oct 30, 2025 | 3.96€ | 4.04€ | 3.92€ | 3.99€ | 433 305 |
| Oct 29, 2025 | 3.91€ | 4.04€ | 3.90€ | 3.96€ | 485 408 |
| Oct 28, 2025 | 3.93€ | 4.00€ | 3.87€ | 3.90€ | 523 736 |
| Oct 27, 2025 | 4.05€ | 4.07€ | 3.93€ | 3.96€ | 996 755 |
| Oct 24, 2025 | 4.15€ | 4.16€ | 4.02€ | 4.06€ | 489 197 |
| Oct 23, 2025 | 4.19€ | 4.24€ | 4.05€ | 4.13€ | 578 515 |
| Oct 22, 2025 | 4.21€ | 4.23€ | 4.13€ | 4.15€ | 330 266 |
| Oct 21, 2025 | 4.24€ | 4.26€ | 4.08€ | 4.19€ | 610 491 |
| Oct 20, 2025 | 4.30€ | 4.30€ | 4.16€ | 4.21€ | 810 865 |
| Oct 17, 2025 | 4.35€ | 4.37€ | 4.26€ | 4.35€ | 527 137 |
| Oct 16, 2025 | 4.51€ | 4.56€ | 4.43€ | 4.45€ | 451 423 |
| Oct 15, 2025 | 4.50€ | 4.51€ | 4.36€ | 4.47€ | 427 853 |
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 VLA.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the VLA.PA 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 VLA.PA 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.
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