XLON:EXPN
Experian Plc Stock Price (Quote)
£3,711.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £3,200.00 | £3,796.00 | Thursday, 30th May 2024 EXPN.L stock ended at £3,711.00. During the day the stock fluctuated 0% from a day low at £3,711.00 to a day high of £3,711.00. |
90 days | £3,150.00 | £3,796.00 | |
52 weeks | £2,366.00 | £3,796.00 |
Historical Experian Plc prices
Date | Open | High | Low | Close | Volume |
Jan 09, 2023 | £2,862.00 | £2,879.00 | £2,844.00 | £2,867.00 | 958 993 |
Jan 06, 2023 | £2,850.00 | £2,868.00 | £2,796.00 | £2,854.00 | 1 168 714 |
Jan 05, 2023 | £2,866.00 | £2,885.00 | £2,843.56 | £2,845.00 | 633 846 |
Jan 04, 2023 | £2,842.00 | £2,901.00 | £2,831.00 | £2,890.00 | 599 749 |
Jan 03, 2023 | £2,850.00 | £2,878.00 | £2,802.00 | £2,824.00 | 1 476 709 |
Dec 30, 2022 | £2,849.00 | £2,863.00 | £2,813.00 | £2,813.00 | 703 742 |
Dec 29, 2022 | £2,832.00 | £2,857.00 | £2,815.00 | £2,857.00 | 563 460 |
Dec 28, 2022 | £2,797.00 | £2,856.00 | £2,797.00 | £2,848.00 | 812 528 |
Dec 23, 2022 | £2,817.00 | £2,835.00 | £2,807.00 | £2,807.00 | 249 529 |
Dec 22, 2022 | £2,836.00 | £2,863.22 | £2,815.00 | £2,815.00 | 557 946 |
Dec 21, 2022 | £2,819.00 | £2,840.00 | £2,809.00 | £2,834.00 | 770 431 |
Dec 20, 2022 | £2,802.00 | £2,832.00 | £2,793.10 | £2,802.00 | 2 420 216 |
Dec 19, 2022 | £2,866.00 | £2,866.00 | £2,830.00 | £2,833.00 | 548 680 |
Dec 16, 2022 | £2,903.00 | £2,911.00 | £2,824.00 | £2,859.00 | 2 581 097 |
Dec 15, 2022 | £2,935.00 | £2,950.00 | £2,905.00 | £2,906.00 | 1 276 681 |
Dec 14, 2022 | £2,936.00 | £2,984.00 | £2,924.93 | £2,984.00 | 1 566 607 |
Dec 13, 2022 | £2,929.00 | £2,995.00 | £2,880.00 | £2,950.00 | 1 448 100 |
Dec 12, 2022 | £2,883.00 | £2,932.00 | £2,881.00 | £2,924.00 | 1 373 013 |
Dec 09, 2022 | £2,899.00 | £2,926.00 | £2,881.00 | £2,895.00 | 1 332 041 |
Dec 08, 2022 | £2,917.00 | £2,926.00 | £2,866.00 | £2,880.00 | 713 390 |
Dec 07, 2022 | £2,899.00 | £2,943.00 | £2,899.00 | £2,914.00 | 1 303 018 |
Dec 06, 2022 | £2,943.00 | £2,971.00 | £2,910.00 | £2,910.00 | 1 029 034 |
Dec 05, 2022 | £2,961.00 | £2,969.00 | £2,939.00 | £2,957.00 | 1 495 515 |
Dec 02, 2022 | £2,957.00 | £3,006.80 | £2,935.00 | £2,967.00 | 1 779 757 |
Dec 01, 2022 | £2,953.00 | £2,977.00 | £2,923.00 | £2,954.00 | 986 349 |
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 EXPN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the EXPN.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 EXPN.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.