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 |
Jun 19, 2019 | £0.95 | £0.97 | £0.95 | £0.97 | 785 368 |
Jun 18, 2019 | £0.96 | £0.98 | £0.96 | £0.97 | 419 090 |
Jun 17, 2019 | £0.95 | £0.97 | £0.95 | £0.97 | 583 703 |
Jun 14, 2019 | £0.97 | £0.97 | £0.97 | £0.97 | 258 941 |
Jun 13, 2019 | £0.96 | £0.98 | £0.96 | £0.97 | 650 642 |
Jun 12, 2019 | £0.98 | £0.98 | £0.96 | £0.98 | 247 431 |
Jun 11, 2019 | £0.99 | £0.99 | £0.96 | £0.97 | 707 527 |
Jun 10, 2019 | £0.96 | £0.97 | £0.96 | £0.96 | 757 026 |
Jun 07, 2019 | £0.95 | £0.97 | £0.94 | £0.97 | 538 768 |
Jun 06, 2019 | £0.97 | £0.97 | £0.95 | £0.96 | 471 181 |
Jun 05, 2019 | £0.95 | £0.97 | £0.94 | £0.96 | 353 841 |
Jun 04, 2019 | £0.96 | £0.96 | £0.94 | £0.95 | 570 524 |
Jun 03, 2019 | £0.95 | £0.96 | £0.93 | £0.95 | 487 193 |
May 31, 2019 | £0.95 | £0.96 | £0.93 | £0.93 | 363 400 |
May 30, 2019 | £0.95 | £0.95 | £0.94 | £0.94 | 420 317 |
May 29, 2019 | £0.96 | £0.96 | £0.93 | £0.95 | 404 743 |
May 28, 2019 | £0.96 | £0.96 | £0.93 | £0.94 | 772 486 |
May 24, 2019 | £0.93 | £0.96 | £0.92 | £0.94 | 854 354 |
May 23, 2019 | £0.93 | £0.96 | £0.93 | £0.93 | 408 241 |
May 22, 2019 | £0.89 | £0.94 | £0.89 | £0.93 | 330 709 |
May 21, 2019 | £0.97 | £0.97 | £0.93 | £0.93 | 427 889 |
May 20, 2019 | £0.93 | £0.95 | £0.93 | £0.93 | 334 623 |
May 17, 2019 | £0.93 | £0.95 | £0.93 | £0.93 | 774 009 |
May 16, 2019 | £0.96 | £0.96 | £0.93 | £0.94 | 575 059 |
May 15, 2019 | £0.93 | £0.95 | £0.93 | £0.93 | 361 158 |
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.