OMXH:OKDBV
Oriola Oyj Stock Price (Quote)
0.93€
+0.0110 (+1.20%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.85€ | 1.07€ | Friday, 17th May 2024 OKDBV.HE stock ended at 0.93€. This is 1.20% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.63% from a day low at 0.92€ to a day high of 0.94€. |
90 days | 0.85€ | 1.14€ | |
52 weeks | 0.85€ | 1.42€ |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | 1.11€ | 1.13€ | 1.10€ | 1.10€ | 151 940 |
Mar 01, 2024 | 1.11€ | 1.12€ | 1.10€ | 1.11€ | 167 987 |
Feb 29, 2024 | 1.10€ | 1.11€ | 1.10€ | 1.11€ | 59 905 |
Feb 28, 2024 | 1.11€ | 1.11€ | 1.10€ | 1.10€ | 77 125 |
Feb 27, 2024 | 1.08€ | 1.11€ | 1.08€ | 1.10€ | 93 814 |
Feb 26, 2024 | 1.10€ | 1.10€ | 1.08€ | 1.09€ | 131 247 |
Feb 23, 2024 | 1.12€ | 1.12€ | 1.09€ | 1.10€ | 107 028 |
Feb 22, 2024 | 1.11€ | 1.11€ | 1.09€ | 1.11€ | 109 217 |
Feb 21, 2024 | 1.13€ | 1.14€ | 1.10€ | 1.10€ | 128 223 |
Feb 20, 2024 | 1.08€ | 1.13€ | 1.07€ | 1.13€ | 360 389 |
Feb 19, 2024 | 1.06€ | 1.08€ | 1.05€ | 1.08€ | 244 176 |
Feb 16, 2024 | 1.09€ | 1.10€ | 1.04€ | 1.05€ | 429 398 |
Feb 15, 2024 | 1.03€ | 1.06€ | 1.03€ | 1.05€ | 206 131 |
Feb 14, 2024 | 1.03€ | 1.06€ | 1.02€ | 1.03€ | 228 743 |
Feb 13, 2024 | 1.07€ | 1.07€ | 1.02€ | 1.03€ | 621 040 |
Feb 12, 2024 | 1.08€ | 1.09€ | 1.08€ | 1.08€ | 29 873 |
Feb 09, 2024 | 1.11€ | 1.11€ | 1.08€ | 1.08€ | 149 160 |
Feb 08, 2024 | 1.08€ | 1.09€ | 1.08€ | 1.09€ | 196 707 |
Feb 07, 2024 | 1.08€ | 1.10€ | 1.07€ | 1.08€ | 153 903 |
Feb 06, 2024 | 1.06€ | 1.08€ | 1.06€ | 1.08€ | 122 515 |
Feb 05, 2024 | 1.07€ | 1.08€ | 1.06€ | 1.06€ | 157 196 |
Feb 02, 2024 | 1.09€ | 1.09€ | 1.07€ | 1.07€ | 145 648 |
Feb 01, 2024 | 1.08€ | 1.09€ | 1.07€ | 1.08€ | 119 279 |
Jan 31, 2024 | 1.10€ | 1.10€ | 1.08€ | 1.09€ | 189 114 |
Jan 30, 2024 | 1.10€ | 1.12€ | 1.10€ | 1.10€ | 167 107 |
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 OKDBV.HE stock historical prices to predict future price movements?
Trend Analysis: Examine the OKDBV.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 OKDBV.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.