OSE:DOF
Delisted
DOF ASA Stock Price (Quote)
kr0.676
+0 (+0%)
At Close: Apr 28, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr0.676 | kr0.676 | Friday, 28th Apr 2023 DOF.OL stock ended at kr0.676. During the day the stock fluctuated 0% from a day low at kr0.676 to a day high of kr0.676. |
90 days | kr0.541 | kr0.88 | |
52 weeks | kr0.501 | kr4.87 |
Date | Open | High | Low | Close | Volume |
Jan 09, 2023 | kr1.22 | kr1.22 | kr1.15 | kr1.16 | 2 659 327 |
Jan 06, 2023 | kr1.15 | kr1.23 | kr1.15 | kr1.19 | 2 576 152 |
Jan 05, 2023 | kr1.10 | kr1.18 | kr1.10 | kr1.16 | 1 877 905 |
Jan 04, 2023 | kr1.13 | kr1.15 | kr1.10 | kr1.10 | 817 650 |
Jan 03, 2023 | kr1.16 | kr1.18 | kr1.13 | kr1.13 | 1 531 094 |
Jan 02, 2023 | kr1.12 | kr1.16 | kr1.12 | kr1.15 | 1 578 729 |
Dec 30, 2022 | kr1.13 | kr1.14 | kr1.09 | kr1.14 | 1 350 892 |
Dec 29, 2022 | kr1.13 | kr1.13 | kr1.08 | kr1.12 | 812 222 |
Dec 28, 2022 | kr1.15 | kr1.15 | kr1.10 | kr1.12 | 976 007 |
Dec 27, 2022 | kr1.10 | kr1.16 | kr1.10 | kr1.14 | 1 353 748 |
Dec 23, 2022 | kr1.17 | kr1.17 | kr1.10 | kr1.10 | 2 589 160 |
Dec 22, 2022 | kr1.22 | kr1.22 | kr1.16 | kr1.18 | 1 187 662 |
Dec 21, 2022 | kr1.12 | kr1.22 | kr1.10 | kr1.18 | 3 042 575 |
Dec 20, 2022 | kr1.18 | kr1.24 | kr1.12 | kr1.15 | 1 811 630 |
Dec 19, 2022 | kr1.07 | kr1.17 | kr1.07 | kr1.17 | 3 209 765 |
Dec 16, 2022 | kr1.20 | kr1.20 | kr1.00 | kr1.06 | 6 932 783 |
Dec 15, 2022 | kr1.45 | kr1.45 | kr1.11 | kr1.17 | 11 021 119 |
Dec 14, 2022 | kr1.28 | kr1.55 | kr1.20 | kr1.47 | 9 465 953 |
Dec 13, 2022 | kr1.40 | kr1.41 | kr1.25 | kr1.28 | 3 798 180 |
Dec 12, 2022 | kr1.36 | kr1.48 | kr1.25 | kr1.34 | 7 195 689 |
Dec 09, 2022 | kr1.12 | kr1.39 | kr1.12 | kr1.35 | 11 673 697 |
Dec 08, 2022 | kr0.95 | kr1.10 | kr0.95 | kr1.10 | 5 170 073 |
Dec 07, 2022 | kr0.90 | kr1.00 | kr0.86 | kr0.95 | 4 156 138 |
Dec 06, 2022 | kr0.97 | kr0.97 | kr0.81 | kr0.90 | 6 535 565 |
Dec 05, 2022 | kr1.00 | kr1.19 | kr0.87 | kr0.92 | 12 751 334 |
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 DOF.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the DOF.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 DOF.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.