XLON:HUM
Humana Inc Stock Price (Quote)
£10.20
+0.800 (+8.51%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £6.50 | £11.20 | Friday, 17th May 2024 HUM.L stock ended at £10.20. This is 8.51% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 15.46% from a day low at £9.70 to a day high of £11.20. |
90 days | £4.06 | £12.00 | |
52 weeks | £4.06 | £18.50 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | £9.00 | £9.50 | £8.50 | £8.75 | 1 054 074 |
Nov 15, 2023 | £8.75 | £9.50 | £8.50 | £9.00 | 1 465 787 |
Nov 14, 2023 | £9.50 | £9.50 | £8.50 | £9.24 | 753 210 |
Nov 13, 2023 | £8.34 | £9.50 | £8.32 | £9.02 | 384 837 |
Nov 10, 2023 | £9.26 | £9.50 | £9.20 | £9.22 | 430 674 |
Nov 09, 2023 | £9.66 | £9.90 | £9.00 | £9.47 | 669 429 |
Nov 08, 2023 | £10.00 | £10.00 | £9.50 | £9.75 | 109 334 |
Nov 07, 2023 | £9.76 | £9.84 | £9.25 | £9.30 | 465 858 |
Nov 06, 2023 | £10.25 | £10.25 | £9.50 | £9.75 | 455 705 |
Nov 03, 2023 | £9.58 | £10.40 | £9.40 | £9.76 | 883 983 |
Nov 02, 2023 | £9.70 | £10.00 | £9.00 | £9.50 | 802 690 |
Nov 01, 2023 | £10.00 | £10.25 | £9.25 | £9.75 | 751 985 |
Oct 31, 2023 | £10.00 | £10.47 | £9.95 | £10.00 | 593 076 |
Oct 30, 2023 | £9.83 | £11.00 | £9.00 | £9.50 | 888 464 |
Oct 27, 2023 | £9.78 | £10.00 | £9.30 | £9.50 | 1 125 460 |
Oct 26, 2023 | £10.15 | £10.15 | £8.23 | £9.50 | 4 832 710 |
Oct 25, 2023 | £10.40 | £11.00 | £10.00 | £10.40 | 621 908 |
Oct 24, 2023 | £10.35 | £10.97 | £10.00 | £10.40 | 891 976 |
Oct 23, 2023 | £10.50 | £10.90 | £10.00 | £10.25 | 686 618 |
Oct 20, 2023 | £10.50 | £11.50 | £10.00 | £10.50 | 982 335 |
Oct 19, 2023 | £9.43 | £11.40 | £9.43 | £10.50 | 2 090 279 |
Oct 18, 2023 | £9.25 | £9.50 | £9.00 | £9.25 | 253 460 |
Oct 17, 2023 | £9.77 | £9.77 | £9.03 | £9.25 | 1 100 165 |
Oct 16, 2023 | £10.04 | £10.50 | £9.50 | £9.75 | 1 182 157 |
Oct 13, 2023 | £8.69 | £10.00 | £8.63 | £10.00 | 1 788 446 |
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 HUM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the HUM.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 HUM.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.