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 |
Nov 16, 2023 | 37.25€ | 37.31€ | 36.71€ | 37.01€ | 263 486 |
Nov 15, 2023 | 37.85€ | 37.96€ | 37.29€ | 37.32€ | 180 211 |
Nov 14, 2023 | 37.79€ | 37.93€ | 37.20€ | 37.84€ | 324 924 |
Nov 13, 2023 | 36.71€ | 37.12€ | 36.51€ | 36.95€ | 221 863 |
Nov 10, 2023 | 37.46€ | 37.48€ | 36.44€ | 36.71€ | 187 593 |
Nov 09, 2023 | 37.05€ | 37.52€ | 36.55€ | 37.46€ | 205 000 |
Nov 08, 2023 | 37.19€ | 37.40€ | 36.83€ | 36.97€ | 202 790 |
Nov 07, 2023 | 36.77€ | 37.34€ | 36.63€ | 37.16€ | 157 774 |
Nov 06, 2023 | 36.69€ | 36.85€ | 36.34€ | 36.85€ | 141 593 |
Nov 03, 2023 | 36.93€ | 37.10€ | 36.41€ | 36.69€ | 137 259 |
Nov 02, 2023 | 35.94€ | 36.88€ | 35.89€ | 36.88€ | 275 262 |
Nov 01, 2023 | 37.65€ | 37.82€ | 35.78€ | 35.88€ | 227 331 |
Oct 31, 2023 | 37.39€ | 37.63€ | 36.84€ | 37.54€ | 297 067 |
Oct 30, 2023 | 36.78€ | 37.49€ | 36.78€ | 37.36€ | 204 589 |
Oct 27, 2023 | 35.50€ | 36.92€ | 35.19€ | 36.26€ | 326 435 |
Oct 26, 2023 | 36.20€ | 38.02€ | 35.65€ | 36.44€ | 324 427 |
Oct 25, 2023 | 36.99€ | 37.16€ | 35.86€ | 36.33€ | 154 467 |
Oct 24, 2023 | 36.60€ | 36.82€ | 36.34€ | 36.71€ | 137 042 |
Oct 23, 2023 | 37.01€ | 37.52€ | 36.45€ | 36.60€ | 112 202 |
Oct 20, 2023 | 36.61€ | 37.44€ | 36.41€ | 36.99€ | 143 160 |
Oct 19, 2023 | 37.41€ | 37.44€ | 36.57€ | 36.67€ | 206 924 |
Oct 18, 2023 | 38.50€ | 38.50€ | 37.38€ | 37.50€ | 196 217 |
Oct 17, 2023 | 38.48€ | 39.00€ | 38.40€ | 38.60€ | 219 121 |
Oct 16, 2023 | 39.40€ | 39.53€ | 37.84€ | 38.52€ | 192 489 |
Oct 13, 2023 | 39.45€ | 39.68€ | 39.25€ | 39.40€ | 280 515 |
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.