XLON:SLA
Delisted
Standard Life Aberdeen Plc Stock Price (Quote)
£2.78
+0 (+0%)
At Close: Aug 16, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.78 | £2.78 | Tuesday, 16th Aug 2022 SLA.L stock ended at £2.78. During the day the stock fluctuated 0% from a day low at £2.78 to a day high of £2.78. |
90 days | £2.78 | £2.78 | |
52 weeks | £2.78 | £2.78 |
Date | Open | High | Low | Close | Volume |
Dec 04, 2017 | £4.86 | £4.91 | £4.84 | £4.84 | 4 061 173 |
Dec 01, 2017 | £4.89 | £4.91 | £4.82 | £4.82 | 4 074 301 |
Nov 30, 2017 | £4.86 | £4.94 | £4.84 | £4.92 | 7 411 581 |
Nov 29, 2017 | £4.85 | £4.92 | £4.83 | £4.87 | 4 893 963 |
Nov 28, 2017 | £4.76 | £4.85 | £4.76 | £4.84 | 6 555 411 |
Nov 27, 2017 | £4.77 | £4.78 | £4.73 | £4.76 | 5 155 466 |
Nov 24, 2017 | £4.83 | £4.83 | £4.78 | £4.79 | 2 766 130 |
Nov 23, 2017 | £425.50 | £425.50 | £421.30 | £423.10 | 2 508 595 |
Nov 22, 2017 | £4.89 | £4.89 | £4.84 | £4.84 | 4 675 063 |
Nov 21, 2017 | £4.83 | £4.98 | £4.83 | £4.91 | 7 972 878 |
Nov 20, 2017 | £4.82 | £4.84 | £4.77 | £4.83 | 3 354 851 |
Nov 17, 2017 | £4.78 | £4.84 | £4.78 | £4.83 | 6 308 556 |
Nov 16, 2017 | £4.72 | £4.77 | £4.70 | £4.76 | 4 761 180 |
Nov 15, 2017 | £4.71 | £4.71 | £4.65 | £4.69 | 5 659 620 |
Nov 14, 2017 | £4.69 | £4.75 | £4.69 | £4.73 | 6 082 014 |
Nov 13, 2017 | £4.82 | £4.82 | £4.65 | £4.69 | 5 878 192 |
Nov 10, 2017 | £4.75 | £4.78 | £4.73 | £4.75 | 5 912 855 |
Nov 09, 2017 | £4.83 | £4.88 | £4.72 | £4.72 | 6 824 856 |
Nov 08, 2017 | £4.84 | £4.87 | £4.82 | £4.87 | 5 812 266 |
Nov 07, 2017 | £4.91 | £4.95 | £4.84 | £4.86 | 3 884 693 |
Nov 06, 2017 | £4.95 | £4.98 | £4.90 | £4.91 | 5 896 608 |
Nov 03, 2017 | £5.02 | £5.04 | £4.97 | £4.98 | 3 940 675 |
Nov 02, 2017 | £4.91 | £5.01 | £4.91 | £5.01 | 3 839 074 |
Nov 01, 2017 | £4.92 | £4.96 | £4.90 | £4.95 | 8 443 972 |
Oct 31, 2017 | £4.95 | £4.96 | £4.91 | £4.91 | 3 334 569 |
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 SLA.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SLA.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 SLA.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.