OSE:SIOFF
Siem Offshore Inc Stock Price (Quote)
kr36.10
+0 (+0%)
At Close: Jun 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr36.10 | kr36.10 | Thursday, 13th Jun 2024 SIOFF.OL stock ended at kr36.10. During the day the stock fluctuated 0% from a day low at kr36.10 to a day high of kr36.10. |
90 days | kr31.50 | kr37.95 | |
52 weeks | kr19.34 | kr37.95 |
Historical Siem Offshore Inc prices
Date | Open | High | Low | Close | Volume |
Sep 27, 2023 | kr27.05 | kr29.10 | kr27.05 | kr29.10 | 168 917 |
Sep 26, 2023 | kr28.65 | kr28.95 | kr27.50 | kr27.85 | 398 101 |
Sep 25, 2023 | kr29.00 | kr29.25 | kr28.50 | kr29.00 | 184 996 |
Sep 22, 2023 | kr29.45 | kr29.45 | kr28.30 | kr29.10 | 221 770 |
Sep 21, 2023 | kr29.35 | kr29.85 | kr28.60 | kr29.45 | 360 266 |
Sep 20, 2023 | kr28.25 | kr29.55 | kr27.90 | kr29.35 | 455 916 |
Sep 19, 2023 | kr27.20 | kr28.20 | kr26.90 | kr28.20 | 321 970 |
Sep 18, 2023 | kr26.55 | kr27.40 | kr26.55 | kr27.25 | 326 118 |
Sep 15, 2023 | kr27.25 | kr27.40 | kr26.40 | kr26.60 | 177 729 |
Sep 14, 2023 | kr26.30 | kr27.25 | kr26.15 | kr27.15 | 405 776 |
Sep 13, 2023 | kr26.50 | kr27.40 | kr25.95 | kr25.95 | 529 190 |
Sep 12, 2023 | kr26.10 | kr26.55 | kr25.65 | kr26.40 | 524 812 |
Sep 11, 2023 | kr24.55 | kr25.90 | kr23.95 | kr25.90 | 1 068 507 |
Sep 08, 2023 | kr23.35 | kr24.50 | kr22.95 | kr24.45 | 747 762 |
Sep 07, 2023 | kr22.65 | kr23.60 | kr22.00 | kr23.20 | 370 485 |
Sep 06, 2023 | kr23.20 | kr23.55 | kr22.65 | kr22.70 | 161 222 |
Sep 05, 2023 | kr23.45 | kr23.65 | kr23.00 | kr23.10 | 190 117 |
Sep 04, 2023 | kr23.35 | kr23.55 | kr23.05 | kr23.10 | 108 556 |
Sep 01, 2023 | kr22.80 | kr23.35 | kr22.50 | kr23.15 | 2 010 976 |
Aug 31, 2023 | kr23.20 | kr23.20 | kr22.50 | kr22.70 | 195 447 |
Aug 30, 2023 | kr23.05 | kr23.80 | kr22.90 | kr23.00 | 350 602 |
Aug 29, 2023 | kr22.00 | kr23.20 | kr22.00 | kr22.80 | 499 728 |
Aug 28, 2023 | kr21.95 | kr22.65 | kr21.50 | kr21.85 | 407 902 |
Aug 25, 2023 | kr21.15 | kr22.05 | kr20.35 | kr21.75 | 822 893 |
Aug 24, 2023 | kr19.90 | kr20.55 | kr19.90 | kr20.30 | 220 840 |
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 SIOFF.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the SIOFF.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 SIOFF.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.