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Range Low Price High Price Comment
30 days £2.81 £3.16 Monday, 2nd Dec 2019 STHR.L stock ended at £3.08. During the day the stock fluctuated 0% from a day low at £3.08 to a day high of £3.08.
90 days £2.55 £3.16
52 weeks £2.45 £311.00

Historical Sthree prices

Date Open High Low Close Volume
Jun 10, 2019 £2.94 £2.96 £2.93 £2.95 46 866
Jun 07, 2019 £2.90 £2.94 £2.87 £2.94 85 876
Jun 06, 2019 £2.85 £2.94 £2.85 £2.87 37 852
Jun 05, 2019 £2.91 £2.97 £2.84 £2.84 126 632
Jun 04, 2019 £2.96 £3.04 £2.94 £2.94 21 098
Jun 03, 2019 £3.00 £3.10 £3.00 £3.02 101 826
May 31, 2019 £2.97 £3.05 £2.96 £3.04 49 186
May 30, 2019 £3.00 £3.05 £2.97 £3.00 218 584
May 29, 2019 £2.99 £3.02 £2.95 £3.00 38 228
May 28, 2019 £2.95 £3.00 £2.93 £2.99 68 136
May 24, 2019 £2.98 £3.00 £2.90 £3.00 34 175
May 23, 2019 £2.91 £3.00 £2.91 £3.00 30 025
May 22, 2019 £2.85 £2.94 £2.85 £2.92 327 465
May 21, 2019 £2.90 £2.95 £2.85 £2.91 252 885
May 20, 2019 £2.96 £2.96 £2.90 £2.90 33 870
May 17, 2019 £2.92 £3.00 £2.92 £2.92 25 411
May 16, 2019 £2.93 £2.95 £2.92 £2.92 9 282
May 15, 2019 £2.97 £3.00 £2.93 £3.00 22 861
May 14, 2019 £3.03 £3.03 £2.95 £2.95 16 712
May 13, 2019 £3.07 £3.07 £3.00 £3.01 28 478
May 10, 2019 £3.03 £3.04 £3.00 £3.04 17 401
May 09, 2019 £3.14 £3.14 £3.04 £3.04 142 521
May 08, 2019 £3.06 £3.14 £3.06 £3.14 61 874
May 07, 2019 £3.05 £3.10 £3.04 £3.08 58 153
May 06, 2019 £3.11 £3.11 £3.11 £3.11 0

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 STHR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the STHR.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 STHR.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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