XLON:OPTI
Optec International Inc Stock Price (Quote)
£18.00
+0 (+0%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £17.00 | £19.50 | Tuesday, 14th May 2024 OPTI.L stock ended at £18.00. During the day the stock fluctuated 3.71% from a day low at £17.50 to a day high of £18.15. |
90 days | £17.00 | £29.33 | |
52 weeks | £5.57 | £43.49 |
Date | Open | High | Low | Close | Volume |
Feb 12, 2016 | £78.50 | £81.00 | £78.50 | £80.50 | 260 881 |
Feb 11, 2016 | £79.50 | £79.50 | £78.00 | £78.50 | 86 866 |
Feb 10, 2016 | £79.00 | £80.50 | £78.50 | £79.50 | 235 410 |
Feb 09, 2016 | £82.00 | £82.00 | £79.00 | £79.00 | 270 552 |
Feb 08, 2016 | £82.50 | £85.00 | £81.50 | £82.00 | 162 156 |
Feb 05, 2016 | £84.00 | £84.50 | £81.00 | £81.50 | 470 379 |
Feb 04, 2016 | £82.00 | £87.50 | £82.00 | £83.50 | 343 417 |
Feb 03, 2016 | £84.00 | £84.00 | £81.00 | £82.00 | 106 193 |
Feb 02, 2016 | £84.50 | £86.00 | £83.50 | £84.00 | 253 648 |
Feb 01, 2016 | £83.50 | £86.00 | £83.50 | £84.50 | 439 189 |
Jan 29, 2016 | £81.00 | £84.00 | £81.00 | £83.50 | 232 458 |
Jan 28, 2016 | £81.00 | £81.50 | £78.50 | £80.00 | 139 391 |
Jan 27, 2016 | £80.00 | £81.50 | £79.50 | £80.50 | 163 231 |
Jan 26, 2016 | £82.50 | £82.50 | £78.00 | £80.00 | 212 575 |
Jan 25, 2016 | £83.00 | £86.00 | £82.50 | £82.50 | 418 334 |
Jan 22, 2016 | £81.50 | £85.50 | £81.50 | £83.00 | 551 447 |
Jan 21, 2016 | £72.50 | £82.00 | £72.50 | £81.50 | 352 954 |
Jan 20, 2016 | £77.00 | £77.00 | £72.50 | £72.50 | 249 439 |
Jan 19, 2016 | £75.00 | £78.50 | £75.00 | £78.00 | 216 834 |
Jan 18, 2016 | £76.50 | £78.00 | £71.00 | £74.00 | 438 501 |
Jan 15, 2016 | £79.00 | £79.00 | £76.50 | £76.50 | 191 892 |
Jan 14, 2016 | £82.50 | £82.50 | £77.50 | £79.00 | 217 155 |
Jan 13, 2016 | £84.00 | £84.50 | £81.00 | £82.50 | 321 317 |
Jan 12, 2016 | £81.00 | £81.50 | £79.00 | £81.50 | 181 393 |
Jan 11, 2016 | £81.00 | £81.00 | £80.50 | £81.00 | 220 839 |
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 OPTI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the OPTI.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 OPTI.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.