OMXH:ORNBV
Orion Oyj Stock Price (Quote)
37.30€
-0.450 (-1.19%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 32.25€ | 38.20€ | Tuesday, 21st May 2024 ORNBV.HE stock ended at 37.30€. This is 1.19% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.56% from a day low at 37.17€ to a day high of 37.75€. |
90 days | 31.86€ | 39.04€ | |
52 weeks | 31.86€ | 45.29€ |
Date | Open | High | Low | Close | Volume |
Jun 29, 2023 | 38.05€ | 38.44€ | 37.99€ | 38.24€ | 194 251 |
Jun 28, 2023 | 37.64€ | 38.26€ | 37.64€ | 38.05€ | 204 350 |
Jun 27, 2023 | 37.78€ | 37.81€ | 37.30€ | 37.55€ | 264 389 |
Jun 26, 2023 | 38.22€ | 38.38€ | 37.58€ | 37.78€ | 281 492 |
Jun 22, 2023 | 38.16€ | 38.29€ | 37.74€ | 38.22€ | 153 577 |
Jun 21, 2023 | 38.70€ | 38.80€ | 38.18€ | 38.27€ | 172 278 |
Jun 20, 2023 | 38.60€ | 39.17€ | 38.60€ | 38.74€ | 244 730 |
Jun 19, 2023 | 39.15€ | 39.48€ | 38.65€ | 38.66€ | 175 659 |
Jun 16, 2023 | 39.47€ | 39.72€ | 38.99€ | 39.00€ | 562 376 |
Jun 15, 2023 | 39.48€ | 39.58€ | 39.25€ | 39.47€ | 213 373 |
Jun 14, 2023 | 39.95€ | 40.20€ | 39.44€ | 39.48€ | 332 547 |
Jun 13, 2023 | 40.25€ | 40.52€ | 39.84€ | 40.01€ | 195 863 |
Jun 12, 2023 | 40.00€ | 40.56€ | 40.00€ | 40.27€ | 213 367 |
Jun 09, 2023 | 39.68€ | 39.96€ | 39.35€ | 39.96€ | 186 018 |
Jun 08, 2023 | 39.70€ | 39.88€ | 39.23€ | 39.52€ | 265 202 |
Jun 07, 2023 | 40.25€ | 40.38€ | 39.65€ | 39.65€ | 190 235 |
Jun 06, 2023 | 40.40€ | 40.58€ | 40.21€ | 40.26€ | 172 793 |
Jun 05, 2023 | 40.35€ | 40.62€ | 40.00€ | 40.32€ | 168 736 |
Jun 02, 2023 | 40.29€ | 40.49€ | 40.08€ | 40.32€ | 171 051 |
Jun 01, 2023 | 39.84€ | 40.57€ | 39.84€ | 40.29€ | 180 910 |
May 31, 2023 | 40.19€ | 40.23€ | 39.59€ | 39.59€ | 2 388 037 |
May 30, 2023 | 40.36€ | 40.74€ | 40.03€ | 40.19€ | 230 584 |
May 29, 2023 | 40.98€ | 41.52€ | 40.24€ | 40.36€ | 140 473 |
May 26, 2023 | 40.55€ | 40.94€ | 39.51€ | 40.82€ | 350 433 |
May 25, 2023 | 42.59€ | 42.92€ | 41.03€ | 41.03€ | 295 999 |
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 ORNBV.HE stock historical prices to predict future price movements?
Trend Analysis: Examine the ORNBV.HE 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 ORNBV.HE 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.