XLON:SEE
Seeing Machines Limited Stock Price (Quote)
£5.11
+0.150 (+3.02%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £3.87 | £5.69 | Friday, 17th May 2024 SEE.L stock ended at £5.11. This is 3.02% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.85% from a day low at £4.82 to a day high of £5.15. |
90 days | £3.87 | £5.69 | |
52 weeks | £3.87 | £6.15 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | £5.75 | £5.75 | £5.50 | £5.60 | 1 440 803 |
Nov 15, 2023 | £5.77 | £5.84 | £5.66 | £5.72 | 1 204 741 |
Nov 14, 2023 | £5.61 | £5.90 | £5.61 | £5.78 | 3 928 745 |
Nov 13, 2023 | £5.75 | £5.89 | £5.61 | £5.76 | 1 853 698 |
Nov 10, 2023 | £5.86 | £5.90 | £5.78 | £5.82 | 1 913 765 |
Nov 09, 2023 | £5.85 | £5.95 | £5.81 | £5.84 | 4 721 719 |
Nov 08, 2023 | £5.73 | £5.87 | £5.56 | £5.80 | 4 227 022 |
Nov 07, 2023 | £5.67 | £5.90 | £5.66 | £5.72 | 3 993 477 |
Nov 06, 2023 | £5.44 | £5.79 | £5.41 | £5.75 | 7 872 888 |
Nov 03, 2023 | £5.18 | £5.42 | £5.18 | £5.41 | 4 220 417 |
Nov 02, 2023 | £5.20 | £5.25 | £5.07 | £5.16 | 2 031 874 |
Nov 01, 2023 | £5.23 | £5.24 | £5.15 | £5.16 | 1 591 798 |
Oct 31, 2023 | £5.05 | £5.33 | £5.00 | £5.19 | 5 622 346 |
Oct 30, 2023 | £5.00 | £5.04 | £4.98 | £5.00 | 20 318 395 |
Oct 27, 2023 | £4.93 | £5.10 | £4.93 | £5.00 | 13 896 214 |
Oct 26, 2023 | £4.95 | £5.00 | £4.90 | £4.98 | 4 182 112 |
Oct 25, 2023 | £5.03 | £5.04 | £4.89 | £4.91 | 8 643 276 |
Oct 24, 2023 | £5.09 | £5.09 | £4.96 | £4.99 | 13 424 576 |
Oct 23, 2023 | £5.21 | £5.30 | £5.01 | £5.06 | 5 427 285 |
Oct 20, 2023 | £5.11 | £5.27 | £5.02 | £5.20 | 8 700 889 |
Oct 19, 2023 | £5.16 | £5.28 | £5.08 | £5.11 | 4 455 081 |
Oct 18, 2023 | £5.31 | £5.39 | £5.10 | £5.18 | 4 587 832 |
Oct 17, 2023 | £5.25 | £5.38 | £5.11 | £5.17 | 6 901 869 |
Oct 16, 2023 | £5.61 | £5.89 | £5.14 | £5.23 | 6 917 959 |
Oct 13, 2023 | £5.45 | £5.59 | £5.33 | £5.45 | 3 498 880 |
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 SEE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SEE.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 SEE.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.