kr182.00
-2.05 (-1.11%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | kr172.15 | kr243.70 | Tuesday, 18th Nov 2025 BAVA.CO stock ended at kr182.00. This is 1.11% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 1.69% from a day low at kr180.55 to a day high of kr183.60. |
| 90 days | kr172.15 | kr244.80 | |
| 52 weeks | kr123.30 | kr244.80 |
Historical Bavarian Nordic A/S prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | kr182.60 | kr183.60 | kr180.55 | kr182.00 | 306 396 |
| Nov 17, 2025 | kr180.00 | kr184.25 | kr177.65 | kr184.05 | 791 805 |
| Nov 14, 2025 | kr185.00 | kr185.15 | kr172.15 | kr176.40 | 2 664 377 |
| Nov 13, 2025 | kr188.50 | kr188.90 | kr186.50 | kr187.10 | 598 665 |
| Nov 12, 2025 | kr191.90 | kr191.90 | kr188.10 | kr188.95 | 389 839 |
| Nov 11, 2025 | kr190.90 | kr191.00 | kr187.95 | kr189.90 | 572 472 |
| Nov 10, 2025 | kr193.35 | kr193.35 | kr189.75 | kr189.90 | 618 075 |
| Nov 07, 2025 | kr191.55 | kr191.55 | kr187.20 | kr189.35 | 1 071 925 |
| Nov 06, 2025 | kr235.90 | kr236.60 | kr184.80 | kr187.00 | 3 885 984 |
| Nov 05, 2025 | kr236.00 | kr238.40 | kr235.30 | kr236.00 | 448 022 |
| Nov 04, 2025 | kr235.00 | kr236.70 | kr233.00 | kr235.10 | 415 075 |
| Nov 03, 2025 | kr238.00 | kr238.50 | kr235.00 | kr235.00 | 448 152 |
| Oct 31, 2025 | kr239.60 | kr240.40 | kr238.70 | kr239.00 | 302 303 |
| Oct 30, 2025 | kr240.00 | kr240.60 | kr239.20 | kr239.70 | 187 500 |
| Oct 29, 2025 | kr237.00 | kr241.10 | kr237.00 | kr240.50 | 483 841 |
| Oct 28, 2025 | kr240.00 | kr240.20 | kr236.50 | kr236.50 | 239 875 |
| Oct 27, 2025 | kr241.00 | kr241.80 | kr240.00 | kr240.10 | 509 414 |
| Oct 24, 2025 | kr241.70 | kr241.90 | kr241.50 | kr241.60 | 265 929 |
| Oct 23, 2025 | kr241.60 | kr242.40 | kr241.50 | kr241.70 | 423 163 |
| Oct 22, 2025 | kr241.60 | kr242.20 | kr241.50 | kr241.80 | 271 620 |
| Oct 21, 2025 | kr238.10 | kr243.70 | kr238.10 | kr242.10 | 869 157 |
| Oct 20, 2025 | kr238.00 | kr239.30 | kr235.80 | kr239.00 | 358 934 |
| Oct 17, 2025 | kr240.00 | kr240.00 | kr237.30 | kr238.00 | 488 077 |
| Oct 16, 2025 | kr240.20 | kr242.00 | kr235.90 | kr240.30 | 881 277 |
| Oct 15, 2025 | kr229.80 | kr231.70 | kr228.40 | kr230.50 | 190 463 |
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 BAVA.CO stock historical prices to predict future price movements?
Trend Analysis: Examine the BAVA.CO 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 BAVA.CO 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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