XLON:0HT1
Delisted
A2A Spa Stock Price (Quote)
£1.54
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.54 | £1.54 | Thursday, 8th Aug 2019 0HT1.L stock ended at £1.54. During the day the stock fluctuated 0% from a day low at £1.54 to a day high of £1.54. |
90 days | £1.36 | £1.58 | |
52 weeks | £1.34 | £1.65 |
Date | Open | High | Low | Close | Volume |
Jul 18, 2016 | £1.21 | £1.22 | £1.20 | £1.20 | 803 989 |
Jul 15, 2016 | £1.20 | £1.21 | £1.19 | £1.20 | 326 343 |
Jul 14, 2016 | £1.19 | £1.20 | £1.18 | £1.20 | 658 901 |
Jul 13, 2016 | £1.20 | £1.20 | £1.18 | £1.19 | 407 812 |
Jul 12, 2016 | £1.18 | £1.20 | £1.18 | £1.20 | 249 892 |
Jul 11, 2016 | £1.17 | £1.18 | £1.16 | £1.18 | 717 692 |
Jul 08, 2016 | £1.14 | £1.17 | £1.13 | £1.17 | 555 576 |
Jul 07, 2016 | £1.16 | £1.17 | £1.14 | £1.16 | 931 627 |
Jul 06, 2016 | £1.17 | £1.18 | £1.14 | £1.15 | 1 084 307 |
Jul 05, 2016 | £1.19 | £1.19 | £1.16 | £1.19 | 998 370 |
Jul 04, 2016 | £1.19 | £1.19 | £1.18 | £1.19 | 660 957 |
Jul 01, 2016 | £1.19 | £1.19 | £1.17 | £1.18 | 1 015 560 |
Jun 30, 2016 | £1.13 | £1.17 | £1.12 | £1.16 | 1 763 604 |
Jun 29, 2016 | £1.11 | £1.13 | £1.10 | £1.12 | 1 579 045 |
Jun 28, 2016 | £1.09 | £1.12 | £1.09 | £1.09 | 902 261 |
Jun 27, 2016 | £1.08 | £1.11 | £1.07 | £1.07 | 784 454 |
Jun 24, 2016 | £1.05 | £1.13 | £1.03 | £1.09 | 875 550 |
Jun 23, 2016 | £1.17 | £1.20 | £1.17 | £1.19 | 754 599 |
Jun 22, 2016 | £1.17 | £1.17 | £1.16 | £1.16 | 819 533 |
Jun 21, 2016 | £1.18 | £1.18 | £1.16 | £1.17 | 800 239 |
Jun 20, 2016 | £1.18 | £1.20 | £1.18 | £1.18 | 2 676 203 |
Jun 17, 2016 | £1.16 | £1.19 | £1.15 | £1.18 | 1 276 814 |
Jun 16, 2016 | £1.16 | £1.17 | £1.14 | £1.16 | 817 172 |
Jun 15, 2016 | £1.18 | £1.21 | £1.17 | £1.19 | 641 504 |
Jun 14, 2016 | £1.19 | £1.20 | £1.17 | £1.18 | 4 321 731 |
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 0HT1.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0HT1.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 0HT1.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.