XLON:0QP5
Delisted
Tecan Group AG Stock Price (Quote)
£11.52
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £11.52 | £11.52 | Thursday, 8th Aug 2019 0QP5.L stock ended at £11.52. During the day the stock fluctuated 0% from a day low at £11.52 to a day high of £11.52. |
90 days | £11.52 | £11.52 | |
52 weeks | £9.93 | £15.74 |
Date | Open | High | Low | Close | Volume |
Nov 28, 2018 | £11.98 | £11.99 | £11.68 | £11.82 | 300 695 |
Nov 27, 2018 | £11.99 | £12.07 | £11.75 | £11.89 | 713 619 |
Nov 26, 2018 | £11.94 | £12.06 | £11.64 | £12.06 | 833 532 |
Nov 23, 2018 | £11.72 | £11.79 | £11.43 | £11.79 | 1 484 287 |
Nov 22, 2018 | £12.02 | £12.02 | £11.56 | £11.73 | 1 533 494 |
Nov 21, 2018 | £11.98 | £11.98 | £11.55 | £11.85 | 501 454 |
Nov 20, 2018 | £12.06 | £12.16 | £11.56 | £11.85 | 919 834 |
Nov 19, 2018 | £12.30 | £12.57 | £12.08 | £12.38 | 620 829 |
Nov 16, 2018 | £12.55 | £12.55 | £11.93 | £12.36 | 689 848 |
Nov 15, 2018 | £12.70 | £12.70 | £12.31 | £12.40 | 1 695 972 |
Nov 14, 2018 | £12.72 | £12.72 | £12.30 | £12.61 | 469 932 |
Nov 13, 2018 | £12.56 | £12.75 | £12.43 | £12.73 | 65 240 |
Nov 12, 2018 | £13.10 | £13.10 | £12.73 | £12.87 | 4 264 666 |
Nov 09, 2018 | £13.00 | £13.07 | £12.68 | £12.87 | 1 752 066 |
Nov 08, 2018 | £13.12 | £13.12 | £12.77 | £13.10 | 424 238 |
Nov 07, 2018 | £12.88 | £12.94 | £12.56 | £12.94 | 258 989 |
Nov 06, 2018 | £12.89 | £12.92 | £12.57 | £12.92 | 898 638 |
Nov 05, 2018 | £13.00 | £13.00 | £12.68 | £12.92 | 805 303 |
Nov 02, 2018 | £13.10 | £13.10 | £12.71 | £13.06 | 551 346 |
Nov 01, 2018 | £12.90 | £12.97 | £12.58 | £12.97 | 6 634 907 |
Oct 31, 2018 | £12.98 | £13.18 | £12.66 | £13.18 | 9 504 351 |
Oct 30, 2018 | £12.81 | £12.82 | £12.49 | £12.81 | 447 153 |
Oct 29, 2018 | £12.50 | £12.81 | £12.26 | £12.81 | 720 619 |
Oct 26, 2018 | £12.45 | £12.57 | £12.09 | £12.38 | 1 474 692 |
Oct 25, 2018 | £12.34 | £12.65 | £12.18 | £12.65 | 1 209 104 |
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 0QP5.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0QP5.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 0QP5.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.