OMXH:ORNBV
Orion Oyj Stock Price (Quote)
37.58€
+0.490 (+1.32%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 36.15€ | 39.20€ | Friday, 14th Jun 2024 ORNBV.HE stock ended at 37.58€. This is 1.32% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.67% from a day low at 37.09€ to a day high of 37.71€. |
90 days | 31.86€ | 39.20€ | |
52 weeks | 31.86€ | 45.29€ |
Historical Orion Oyj prices
Date | Open | High | Low | Close | Volume |
Jun 22, 2022 | 38.04€ | 38.18€ | 37.50€ | 38.18€ | 440 617 |
Jun 21, 2022 | 38.61€ | 38.80€ | 38.05€ | 38.05€ | 204 089 |
Jun 20, 2022 | 38.35€ | 38.87€ | 37.84€ | 38.47€ | 170 024 |
Jun 17, 2022 | 36.02€ | 38.35€ | 36.02€ | 38.35€ | 1 818 746 |
Jun 16, 2022 | 35.79€ | 36.54€ | 35.69€ | 36.07€ | 315 362 |
Jun 15, 2022 | 36.58€ | 36.66€ | 35.23€ | 35.73€ | 766 834 |
Jun 14, 2022 | 36.50€ | 37.42€ | 36.26€ | 36.53€ | 527 724 |
Jun 13, 2022 | 36.54€ | 36.61€ | 36.07€ | 36.13€ | 295 503 |
Jun 10, 2022 | 36.63€ | 36.75€ | 36.20€ | 36.55€ | 0 |
Jun 09, 2022 | 37.05€ | 37.46€ | 36.65€ | 36.65€ | 0 |
Jun 08, 2022 | 37.33€ | 37.53€ | 37.07€ | 37.53€ | 0 |
Jun 07, 2022 | 37.20€ | 37.65€ | 37.17€ | 37.31€ | 0 |
Jun 06, 2022 | 37.67€ | 37.95€ | 37.32€ | 37.88€ | 138 945 |
Jun 03, 2022 | 38.01€ | 38.01€ | 37.48€ | 37.60€ | 84 283 |
Jun 02, 2022 | 38.00€ | 38.16€ | 37.51€ | 37.77€ | 165 505 |
Jun 01, 2022 | 38.15€ | 38.71€ | 37.79€ | 37.89€ | 387 464 |
May 31, 2022 | 37.89€ | 38.22€ | 37.57€ | 38.20€ | 965 043 |
May 30, 2022 | 37.76€ | 38.40€ | 37.76€ | 37.89€ | 439 180 |
May 27, 2022 | 38.11€ | 38.21€ | 37.65€ | 37.76€ | 0 |
May 25, 2022 | 37.82€ | 38.01€ | 37.59€ | 37.99€ | 0 |
May 24, 2022 | 37.87€ | 38.05€ | 37.56€ | 37.88€ | 150 131 |
May 23, 2022 | 37.81€ | 37.99€ | 37.46€ | 37.99€ | 0 |
May 20, 2022 | 37.22€ | 37.98€ | 36.92€ | 37.68€ | 289 985 |
May 19, 2022 | 36.09€ | 37.12€ | 35.95€ | 37.02€ | 172 132 |
May 18, 2022 | 36.84€ | 36.94€ | 36.22€ | 36.32€ | 170 682 |
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.