OSE:ORK
Orkla ASA Stock Price (Quote)
kr83.55
-0.450 (-0.536%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr74.60 | kr84.95 | Friday, 31st May 2024 ORK.OL stock ended at kr83.55. This is 0.536% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.68% from a day low at kr83.55 to a day high of kr84.95. |
90 days | kr71.35 | kr84.95 | |
52 weeks | kr71.35 | kr84.95 |
Historical Orkla ASA prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | kr84.00 | kr84.95 | kr83.55 | kr83.55 | 4 266 400 |
May 30, 2024 | kr83.95 | kr84.60 | kr83.75 | kr84.00 | 1 235 692 |
May 29, 2024 | kr82.35 | kr84.00 | kr82.35 | kr84.00 | 1 851 537 |
May 28, 2024 | kr82.50 | kr82.70 | kr82.10 | kr82.30 | 906 934 |
May 24, 2024 | kr82.15 | kr82.65 | kr81.95 | kr82.55 | 772 903 |
May 23, 2024 | kr83.20 | kr83.30 | kr82.25 | kr82.25 | 1 251 330 |
May 22, 2024 | kr82.90 | kr83.45 | kr82.55 | kr83.20 | 1 075 309 |
May 21, 2024 | kr83.20 | kr83.25 | kr82.50 | kr83.00 | 1 613 340 |
May 16, 2024 | kr82.10 | kr82.60 | kr81.95 | kr82.30 | 1 722 148 |
May 15, 2024 | kr82.20 | kr82.80 | kr82.00 | kr82.10 | 1 660 169 |
May 14, 2024 | kr82.10 | kr82.65 | kr81.90 | kr82.25 | 1 091 229 |
May 13, 2024 | kr82.75 | kr82.80 | kr81.95 | kr82.30 | 1 037 692 |
May 10, 2024 | kr82.55 | kr83.15 | kr82.10 | kr82.55 | 919 511 |
May 08, 2024 | kr80.95 | kr82.55 | kr80.95 | kr82.25 | 1 814 431 |
May 07, 2024 | kr80.45 | kr80.95 | kr80.10 | kr80.70 | 1 749 826 |
May 06, 2024 | kr79.50 | kr81.10 | kr79.50 | kr80.45 | 1 496 606 |
May 03, 2024 | kr76.70 | kr80.65 | kr76.70 | kr79.80 | 4 146 796 |
May 02, 2024 | kr75.25 | kr75.70 | kr74.60 | kr75.60 | 1 978 463 |
Apr 30, 2024 | kr75.00 | kr75.90 | kr74.80 | kr75.80 | 1 662 438 |
Apr 29, 2024 | kr74.60 | kr75.15 | kr74.30 | kr74.85 | 480 234 |
Apr 26, 2024 | kr73.90 | kr74.60 | kr73.85 | kr74.50 | 1 076 510 |
Apr 25, 2024 | kr73.20 | kr73.90 | kr72.35 | kr73.65 | 1 479 394 |
Apr 24, 2024 | kr73.30 | kr73.40 | kr72.85 | kr73.20 | 948 745 |
Apr 23, 2024 | kr73.90 | kr73.95 | kr73.30 | kr73.30 | 833 100 |
Apr 22, 2024 | kr72.20 | kr74.05 | kr72.20 | kr73.50 | 1 547 480 |
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 ORK.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the ORK.OL 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 ORK.OL 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.