OMXH:ORNBV
Orion Oyj Stock Price (Quote)
37.69€
-0.0200 (-0.0530%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 31.86€ | 37.97€ | Friday, 17th May 2024 ORNBV.HE stock ended at 37.69€. This is 0.0530% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.28% from a day low at 37.47€ to a day high of 37.95€. |
90 days | 31.86€ | 40.26€ | |
52 weeks | 31.86€ | 45.29€ |
Date | Open | High | Low | Close | Volume |
Aug 01, 2023 | 34.95€ | 35.30€ | 34.95€ | 34.95€ | 148 859 |
Jul 31, 2023 | 35.01€ | 35.17€ | 34.84€ | 34.94€ | 262 214 |
Jul 28, 2023 | 35.20€ | 35.38€ | 34.84€ | 35.01€ | 156 397 |
Jul 27, 2023 | 35.20€ | 35.59€ | 35.14€ | 35.27€ | 190 136 |
Jul 26, 2023 | 35.30€ | 35.60€ | 34.92€ | 35.13€ | 234 165 |
Jul 25, 2023 | 34.87€ | 35.42€ | 34.76€ | 35.30€ | 227 277 |
Jul 24, 2023 | 35.07€ | 35.35€ | 34.83€ | 34.96€ | 145 465 |
Jul 21, 2023 | 34.95€ | 35.13€ | 34.46€ | 35.07€ | 286 841 |
Jul 20, 2023 | 34.35€ | 34.94€ | 34.31€ | 34.86€ | 355 662 |
Jul 19, 2023 | 33.91€ | 34.47€ | 33.64€ | 34.35€ | 326 029 |
Jul 18, 2023 | 33.47€ | 34.24€ | 33.08€ | 34.03€ | 602 206 |
Jul 17, 2023 | 36.40€ | 36.83€ | 32.89€ | 33.00€ | 764 338 |
Jul 14, 2023 | 36.61€ | 36.69€ | 36.25€ | 36.31€ | 142 302 |
Jul 13, 2023 | 36.92€ | 37.05€ | 36.55€ | 36.61€ | 118 900 |
Jul 12, 2023 | 36.89€ | 37.08€ | 36.54€ | 36.81€ | 183 030 |
Jul 11, 2023 | 36.60€ | 36.95€ | 36.27€ | 36.89€ | 226 573 |
Jul 10, 2023 | 36.25€ | 36.65€ | 35.97€ | 36.58€ | 184 389 |
Jul 07, 2023 | 37.43€ | 37.44€ | 36.21€ | 36.21€ | 240 486 |
Jul 06, 2023 | 37.72€ | 37.86€ | 37.22€ | 37.43€ | 272 286 |
Jul 05, 2023 | 37.64€ | 37.81€ | 37.41€ | 37.71€ | 248 656 |
Jul 04, 2023 | 37.66€ | 38.06€ | 37.59€ | 37.64€ | 73 045 |
Jul 03, 2023 | 38.02€ | 38.14€ | 37.66€ | 37.66€ | 166 129 |
Jun 30, 2023 | 38.24€ | 38.42€ | 38.02€ | 38.02€ | 326 701 |
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 |
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.