XLON:HNT
Delisted
Health Net, Inc Stock Price (Quote)
£1.07
+0 (+0%)
At Close: May 05, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.06 | £1.08 | Tuesday, 5th May 2020 HNT.L stock ended at £1.07. During the day the stock fluctuated 0% from a day low at £1.07 to a day high of £1.07. |
90 days | £0.630 | £1.11 | |
52 weeks | £0.582 | £1.11 |
Date | Open | High | Low | Close | Volume |
Jan 21, 2020 | £0.702 | £0.720 | £0.682 | £0.702 | 191 856 |
Jan 20, 2020 | £0.726 | £0.736 | £0.704 | £0.716 | 137 451 |
Jan 17, 2020 | £0.700 | £0.738 | £0.700 | £0.724 | 88 487 |
Jan 16, 2020 | £0.718 | £0.725 | £0.700 | £0.708 | 130 423 |
Jan 15, 2020 | £0.740 | £0.746 | £0.706 | £0.720 | 523 237 |
Jan 14, 2020 | £0.700 | £0.742 | £0.700 | £0.734 | 3 053 717 |
Jan 13, 2020 | £0.700 | £0.720 | £0.700 | £0.704 | 573 362 |
Jan 10, 2020 | £0.700 | £0.706 | £0.682 | £0.702 | 568 054 |
Jan 09, 2020 | £0.714 | £0.717 | £0.698 | £0.700 | 1 778 537 |
Jan 08, 2020 | £0.740 | £0.740 | £0.700 | £0.720 | 2 608 234 |
Jan 07, 2020 | £0.760 | £0.760 | £0.738 | £0.740 | 1 111 084 |
Jan 06, 2020 | £0.756 | £0.82 | £0.747 | £0.748 | 330 006 |
Jan 03, 2020 | £0.780 | £0.81 | £0.776 | £0.776 | 30 539 |
Jan 02, 2020 | £0.83 | £0.83 | £0.770 | £0.80 | 93 010 |
Dec 31, 2019 | £0.82 | £0.82 | £0.81 | £0.81 | 49 495 |
Dec 30, 2019 | £0.81 | £0.83 | £0.80 | £0.82 | 56 098 |
Dec 27, 2019 | £0.760 | £0.82 | £0.760 | £0.81 | 52 208 |
Dec 24, 2019 | £0.82 | £0.82 | £0.82 | £0.82 | 0 |
Dec 23, 2019 | £0.756 | £0.85 | £0.752 | £0.82 | 79 836 |
Dec 20, 2019 | £0.746 | £0.754 | £0.727 | £0.754 | 2 565 913 |
Dec 19, 2019 | £0.710 | £0.796 | £0.694 | £0.750 | 4 174 858 |
Dec 18, 2019 | £0.710 | £0.712 | £0.582 | £0.690 | 1 204 983 |
Dec 17, 2019 | £0.83 | £0.87 | £0.692 | £0.710 | 2 332 369 |
Dec 16, 2019 | £0.81 | £0.85 | £0.80 | £0.83 | 563 452 |
Dec 13, 2019 | £0.83 | £0.87 | £0.82 | £0.82 | 1 899 936 |
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 HNT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the HNT.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 HNT.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.