XLON:HSTN
Delisted
Hansteen Hldgs Stock Price (Quote)
£1.16
+0 (+0%)
At Close: Feb 24, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.16 | £1.17 | Monday, 24th Feb 2020 HSTN.L stock ended at £1.16. During the day the stock fluctuated 0% from a day low at £1.16 to a day high of £1.16. |
90 days | £1.00 | £1.18 | |
52 weeks | £0.85 | £1.18 |
Date | Open | High | Low | Close | Volume |
Aug 28, 2019 | £0.90 | £0.92 | £0.90 | £0.92 | 358 417 |
Aug 27, 2019 | £0.88 | £0.92 | £0.88 | £0.91 | 935 971 |
Aug 26, 2019 | £0.90 | £0.90 | £0.90 | £0.90 | 0 |
Aug 23, 2019 | £0.89 | £0.91 | £0.88 | £0.90 | 215 952 |
Aug 22, 2019 | £0.88 | £0.90 | £0.88 | £0.89 | 524 409 |
Aug 21, 2019 | £0.90 | £0.91 | £0.88 | £0.89 | 739 619 |
Aug 20, 2019 | £0.91 | £0.92 | £0.90 | £0.91 | 493 175 |
Aug 19, 2019 | £0.86 | £0.91 | £0.86 | £0.91 | 511 259 |
Aug 16, 2019 | £0.91 | £0.91 | £0.89 | £0.89 | 199 411 |
Aug 15, 2019 | £0.90 | £0.91 | £0.89 | £0.89 | 303 649 |
Aug 14, 2019 | £0.85 | £0.90 | £0.85 | £0.89 | 410 912 |
Aug 13, 2019 | £0.87 | £0.90 | £0.87 | £0.89 | 190 016 |
Aug 12, 2019 | £0.86 | £0.90 | £0.86 | £0.89 | 461 547 |
Aug 09, 2019 | £0.88 | £0.89 | £0.88 | £0.89 | 218 311 |
Aug 08, 2019 | £0.88 | £0.89 | £0.87 | £0.88 | 319 424 |
Aug 07, 2019 | £0.85 | £0.88 | £0.85 | £0.87 | 612 398 |
Aug 06, 2019 | £0.85 | £0.88 | £0.85 | £0.87 | 476 692 |
Aug 05, 2019 | £0.87 | £0.88 | £0.86 | £0.86 | 761 166 |
Aug 02, 2019 | £0.90 | £0.90 | £0.87 | £0.87 | 527 534 |
Aug 01, 2019 | £0.87 | £0.89 | £0.86 | £0.89 | 522 968 |
Jul 31, 2019 | £0.91 | £0.92 | £0.88 | £0.88 | 4 408 917 |
Jul 30, 2019 | £0.94 | £0.94 | £0.90 | £0.91 | 477 722 |
Jul 29, 2019 | £0.92 | £0.93 | £0.92 | £0.92 | 367 614 |
Jul 26, 2019 | £0.94 | £0.94 | £0.91 | £0.92 | 1 053 968 |
Jul 25, 2019 | £0.94 | £0.94 | £0.93 | £0.94 | 478 845 |
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 HSTN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the HSTN.L 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 HSTN.L 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.