XLON:SGI
Delisted
Silicon Graphics International Corp Stock Price (Quote)
£1.60
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.60 | £1.60 | Friday, 27th Jan 2023 SGI.L stock ended at £1.60. During the day the stock fluctuated 0% from a day low at £1.60 to a day high of £1.60. |
90 days | £1.60 | £1.60 | |
52 weeks | £0.0150 | £2.45 |
Date | Open | High | Low | Close | Volume |
Nov 24, 2016 | £11.25 | £11.25 | £10.88 | £10.88 | 266 775 |
Nov 23, 2016 | £11.00 | £11.25 | £11.00 | £11.25 | 345 358 |
Nov 22, 2016 | £10.75 | £11.75 | £10.75 | £11.00 | 923 421 |
Nov 21, 2016 | £10.75 | £11.38 | £10.63 | £10.75 | 753 688 |
Nov 18, 2016 | £10.63 | £10.75 | £10.63 | £10.75 | 341 189 |
Nov 17, 2016 | £10.88 | £10.88 | £10.25 | £10.63 | 463 462 |
Nov 16, 2016 | £9.38 | £11.13 | £9.38 | £10.88 | 1 647 593 |
Nov 15, 2016 | £9.38 | £9.88 | £9.38 | £9.38 | 796 371 |
Nov 14, 2016 | £8.88 | £9.63 | £8.88 | £9.25 | 679 605 |
Nov 11, 2016 | £8.88 | £8.88 | £8.50 | £8.88 | 1 158 749 |
Nov 10, 2016 | £9.63 | £9.63 | £8.25 | £8.88 | 1 711 398 |
Nov 09, 2016 | £9.88 | £9.88 | £9.63 | £9.63 | 499 723 |
Nov 08, 2016 | £9.88 | £9.88 | £9.88 | £9.88 | 276 529 |
Nov 07, 2016 | £9.63 | £9.88 | £9.63 | £9.88 | 319 449 |
Nov 04, 2016 | £10.13 | £10.13 | £9.63 | £9.63 | 881 677 |
Nov 03, 2016 | £10.25 | £10.25 | £10.13 | £10.13 | 140 874 |
Nov 02, 2016 | £10.13 | £10.25 | £10.13 | £10.25 | 258 951 |
Nov 01, 2016 | £9.88 | £10.13 | £9.88 | £10.13 | 1 481 199 |
Oct 31, 2016 | £9.88 | £10.00 | £9.75 | £9.88 | 1 077 314 |
Oct 28, 2016 | £10.13 | £10.13 | £9.63 | £9.88 | 1 551 153 |
Oct 27, 2016 | £10.13 | £10.50 | £10.13 | £10.13 | 809 824 |
Oct 26, 2016 | £10.13 | £10.63 | £10.13 | £10.25 | 213 673 |
Oct 25, 2016 | £10.13 | £10.38 | £10.13 | £10.13 | 706 247 |
Oct 24, 2016 | £10.75 | £10.75 | £10.75 | £10.75 | 551 731 |
Oct 21, 2016 | £10.75 | £10.75 | £10.75 | £10.75 | 70 389 |
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 SGI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SGI.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 SGI.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.