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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

Historical Hansteen Hldgs prices

Date Open High Low Close Volume
Dec 11, 2019 £1.06 £1.06 £1.06 £1.06 0
Dec 10, 2019 £1.07 £1.07 £1.02 £1.06 347 762
Dec 09, 2019 £1.00 £1.06 £1.00 £1.06 316 559
Dec 06, 2019 £1.05 £1.05 £1.02 £1.04 212 213
Dec 05, 2019 £1.04 £1.04 £1.01 £1.03 614 761
Dec 04, 2019 £1.01 £1.03 £1.00 £1.03 542 614
Dec 03, 2019 £1.02 £1.03 £1.01 £1.02 212 713
Dec 02, 2019 £1.00 £1.04 £1.00 £1.02 359 138
Nov 29, 2019 £1.04 £1.05 £1.02 £1.03 380 529
Nov 28, 2019 £1.01 £1.01 £1.01 £1.01 0
Nov 27, 2019 £1.01 £1.01 £1.01 £1.01 0
Nov 26, 2019 £1.01 £1.05 £1.01 £1.01 686 199
Nov 25, 2019 £1.01 £1.04 £1.00 £1.02 378 568
Nov 22, 2019 £1.01 £1.02 £1.00 £1.02 358 035
Nov 21, 2019 £1.00 £1.04 £1.00 £1.01 122 476
Nov 20, 2019 £1.02 £1.03 £1.00 £1.03 231 094
Nov 19, 2019 £1.01 £1.03 £1.01 £1.02 325 722
Nov 18, 2019 £1.02 £1.04 £1.01 £1.02 222 039
Nov 15, 2019 £1.00 £1.03 £1.00 £1.02 157 761
Nov 14, 2019 £1.01 £1.02 £1.00 £1.01 231 171
Nov 13, 2019 £1.05 £1.05 £1.00 £1.01 234 672
Nov 12, 2019 £1.05 £1.05 £1.01 £1.02 223 980
Nov 11, 2019 £1.04 £1.04 £1.00 £1.02 221 280
Nov 08, 2019 £1.02 £1.04 £1.01 £1.01 181 492
Nov 07, 2019 £1.05 £1.05 £1.02 £1.02 748 767

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.

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.

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.

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.
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