XLON:LMI
Delisted
Lonmin Stock Price (Quote)
£75.60
+0 (+0%)
At Close: Sep 13, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £75.60 | £75.60 | Friday, 13th Sep 2019 LMI.L stock ended at £75.60. During the day the stock fluctuated 0% from a day low at £75.60 to a day high of £75.60. |
90 days | £0.756 | £75.60 | |
52 weeks | £0.436 | £85.60 |
Date | Open | High | Low | Close | Volume |
Mar 03, 2016 | £105.00 | £129.25 | £104.75 | £122.00 | 6 420 302 |
Mar 02, 2016 | £97.00 | £104.50 | £97.00 | £104.25 | 1 832 196 |
Mar 01, 2016 | £95.00 | £97.50 | £94.00 | £95.50 | 1 710 978 |
Feb 29, 2016 | £88.00 | £94.50 | £88.00 | £93.50 | 1 906 126 |
Feb 26, 2016 | £84.00 | £91.50 | £83.50 | £91.00 | 1 881 056 |
Feb 25, 2016 | £85.00 | £88.25 | £81.25 | £81.75 | 1 319 728 |
Feb 24, 2016 | £90.00 | £91.00 | £81.25 | £85.25 | 1 625 876 |
Feb 23, 2016 | £85.00 | £94.00 | £83.00 | £89.50 | 2 139 780 |
Feb 22, 2016 | £76.25 | £84.25 | £76.25 | £84.00 | 2 391 565 |
Feb 19, 2016 | £81.75 | £81.75 | £76.00 | £79.00 | 993 872 |
Feb 18, 2016 | £81.50 | £82.50 | £77.25 | £79.50 | 2 220 824 |
Feb 17, 2016 | £80.00 | £83.75 | £77.00 | £80.75 | 2 109 662 |
Feb 16, 2016 | £81.25 | £84.00 | £76.75 | £79.00 | 2 515 633 |
Feb 15, 2016 | £82.00 | £84.75 | £79.25 | £84.00 | 1 507 960 |
Feb 12, 2016 | £79.75 | £83.50 | £77.00 | £83.50 | 3 319 763 |
Feb 11, 2016 | £77.00 | £79.50 | £70.50 | £76.75 | 3 152 085 |
Feb 10, 2016 | £73.50 | £77.00 | £68.00 | £75.00 | 2 354 345 |
Feb 09, 2016 | £74.50 | £74.50 | £67.00 | £72.00 | 3 126 537 |
Feb 08, 2016 | £62.75 | £74.00 | £61.25 | £74.00 | 6 207 167 |
Feb 05, 2016 | £58.00 | £65.00 | £54.50 | £61.25 | 4 813 234 |
Feb 04, 2016 | £47.00 | £58.50 | £47.00 | £56.50 | 3 927 779 |
Feb 03, 2016 | £49.00 | £49.00 | £44.50 | £46.75 | 1 429 999 |
Feb 02, 2016 | £49.00 | £49.75 | £45.75 | £46.75 | 1 513 465 |
Feb 01, 2016 | £56.75 | £56.75 | £46.50 | £47.75 | 3 026 218 |
Jan 29, 2016 | £56.00 | £60.00 | £49.50 | £54.75 | 5 325 964 |
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 LMI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the LMI.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 LMI.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.