XLON:AUTO
AUTOINFO, INC Stock Price (Quote)
£730.00
-25.00 (-3.31%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £667.00 | £764.00 | Friday, 17th May 2024 AUTO.L stock ended at £730.00. This is 3.31% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.30% from a day low at £715.00 to a day high of £738.60. |
90 days | £666.00 | £768.40 | |
52 weeks | £580.20 | £768.40 |
Date | Open | High | Low | Close | Volume |
Nov 30, 2016 | £397.00 | £400.70 | £394.30 | £399.70 | 5 847 786 |
Nov 29, 2016 | £402.30 | £403.00 | £394.30 | £403.00 | 1 939 203 |
Nov 28, 2016 | £401.20 | £404.70 | £397.40 | £403.50 | 2 608 730 |
Nov 25, 2016 | £400.70 | £403.00 | £397.40 | £400.50 | 1 481 177 |
Nov 24, 2016 | £402.70 | £405.40 | £396.80 | £403.40 | 1 601 452 |
Nov 23, 2016 | £404.00 | £410.00 | £402.10 | £403.00 | 4 514 996 |
Nov 22, 2016 | £394.40 | £405.20 | £394.40 | £404.10 | 5 113 048 |
Nov 21, 2016 | £393.30 | £393.30 | £378.50 | £392.40 | 6 828 204 |
Nov 18, 2016 | £392.30 | £396.90 | £386.80 | £391.90 | 3 453 537 |
Nov 17, 2016 | £386.30 | £396.10 | £385.00 | £393.90 | 3 390 367 |
Nov 16, 2016 | £384.80 | £389.50 | £380.80 | £384.00 | 3 797 421 |
Nov 15, 2016 | £393.60 | £393.90 | £382.90 | £384.70 | 3 061 372 |
Nov 14, 2016 | £391.50 | £400.60 | £390.60 | £390.80 | 2 832 100 |
Nov 11, 2016 | £399.80 | £403.00 | £384.90 | £387.70 | 4 378 073 |
Nov 10, 2016 | £400.00 | £410.40 | £390.70 | £398.90 | 11 056 412 |
Nov 09, 2016 | £373.70 | £386.00 | £361.20 | £386.00 | 4 212 916 |
Nov 08, 2016 | £367.70 | £371.20 | £365.40 | £370.40 | 2 401 573 |
Nov 07, 2016 | £375.30 | £375.30 | £366.80 | £367.50 | 2 396 454 |
Nov 04, 2016 | £377.10 | £380.10 | £365.50 | £367.10 | 2 593 107 |
Nov 03, 2016 | £373.60 | £384.40 | £371.90 | £377.30 | 3 294 918 |
Nov 02, 2016 | £377.40 | £379.40 | £374.00 | £375.20 | 1 813 084 |
Nov 01, 2016 | £376.50 | £380.60 | £372.30 | £379.60 | 2 363 441 |
Oct 31, 2016 | £376.50 | £376.50 | £372.00 | £374.70 | 2 316 353 |
Oct 28, 2016 | £368.40 | £377.00 | £365.30 | £376.50 | 2 420 215 |
Oct 27, 2016 | £366.40 | £376.00 | £364.70 | £370.40 | 3 283 000 |
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 AUTO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the AUTO.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 AUTO.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.