kr138.20
+0.700 (+0.509%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | kr121.70 | kr151.70 | Wednesday, 3rd Jun 2026 HAUTO.OL stock ended at kr138.20. This is 0.509% more than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 3.13% from a day low at kr134.30 to a day high of kr138.50. |
| 90 days | kr120.50 | kr151.70 | |
| 52 weeks | kr84.00 | kr151.70 |
Historical Höegh Autoliners Asa prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | kr138.50 | kr138.50 | kr134.30 | kr138.20 | 482 130 |
| Jun 02, 2026 | kr137.00 | kr139.40 | kr136.90 | kr137.50 | 253 270 |
| Jun 01, 2026 | kr137.00 | kr138.50 | kr136.50 | kr137.70 | 0 |
| May 29, 2026 | kr139.50 | kr140.60 | kr136.20 | kr137.00 | 607 229 |
| May 28, 2026 | kr142.90 | kr142.90 | kr136.60 | kr139.20 | 425 536 |
| May 27, 2026 | kr142.90 | kr145.90 | kr140.70 | kr141.60 | 348 358 |
| May 26, 2026 | kr140.70 | kr142.90 | kr139.60 | kr142.90 | 252 075 |
| May 22, 2026 | kr150.00 | kr150.00 | kr139.40 | kr141.00 | 0 |
| May 21, 2026 | kr147.60 | kr151.70 | kr147.50 | kr150.00 | 339 006 |
| May 20, 2026 | kr145.00 | kr148.50 | kr144.70 | kr148.20 | 390 368 |
| May 19, 2026 | kr142.90 | kr145.80 | kr142.90 | kr144.70 | 569 656 |
| May 18, 2026 | kr139.20 | kr144.00 | kr137.50 | kr143.00 | 518 248 |
| May 15, 2026 | kr143.00 | kr144.60 | kr141.20 | kr143.90 | 535 449 |
| May 13, 2026 | kr141.60 | kr143.70 | kr140.00 | kr142.10 | 511 351 |
| May 12, 2026 | kr139.00 | kr141.80 | kr138.60 | kr141.50 | 489 476 |
| May 11, 2026 | kr135.90 | kr139.00 | kr134.70 | kr137.20 | 0 |
| May 08, 2026 | kr124.50 | kr132.80 | kr121.70 | kr132.00 | 1 058 136 |
| May 07, 2026 | kr129.00 | kr129.40 | kr125.30 | kr126.20 | 0 |
| May 06, 2026 | kr128.50 | kr131.70 | kr126.70 | kr128.00 | 447 764 |
| May 05, 2026 | kr127.60 | kr130.70 | kr123.80 | kr130.70 | 804 487 |
| May 04, 2026 | kr134.40 | kr136.60 | kr131.50 | kr132.30 | 430 350 |
| Apr 30, 2026 | kr133.30 | kr134.90 | kr131.40 | kr132.50 | 298 594 |
| Apr 29, 2026 | kr131.60 | kr133.80 | kr130.60 | kr132.20 | 332 199 |
| Apr 28, 2026 | kr129.40 | kr132.90 | kr128.80 | kr130.90 | 515 788 |
| Apr 27, 2026 | kr133.00 | kr133.90 | kr131.00 | kr131.40 | 184 508 |
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 HAUTO.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the HAUTO.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 HAUTO.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.
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