XLON:RGM
Delisted
Regency Mines Stock Price (Quote)
£0.0100
+0 (+0%)
At Close: Sep 07, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0100 | £0.0100 | Monday, 7th Sep 2020 RGM.L stock ended at £0.0100. During the day the stock fluctuated 0% from a day low at £0.0100 to a day high of £0.0100. |
90 days | £0.0100 | £0.0100 | |
52 weeks | £0.0003 | £0.0384 |
Date | Open | High | Low | Close | Volume |
Nov 14, 2016 | £0.525 | £0.525 | £0.500 | £0.500 | 3 448 804 |
Nov 11, 2016 | £0.500 | £0.525 | £0.500 | £0.525 | 2 200 236 |
Nov 10, 2016 | £0.500 | £0.550 | £0.500 | £0.500 | 7 236 145 |
Nov 09, 2016 | £0.450 | £0.500 | £0.425 | £0.500 | 5 491 544 |
Nov 08, 2016 | £0.450 | £0.450 | £0.450 | £0.450 | 1 198 802 |
Nov 07, 2016 | £0.450 | £0.450 | £0.425 | £0.450 | 7 008 789 |
Nov 04, 2016 | £0.450 | £0.450 | £0.425 | £0.450 | 5 006 602 |
Nov 03, 2016 | £0.475 | £0.475 | £0.450 | £0.450 | 1 980 748 |
Nov 02, 2016 | £0.475 | £0.475 | £0.475 | £0.475 | 2 767 419 |
Nov 01, 2016 | £0.475 | £0.475 | £0.475 | £0.475 | 1 000 663 |
Oct 31, 2016 | £0.525 | £0.525 | £0.475 | £0.475 | 5 955 819 |
Oct 28, 2016 | £0.525 | £0.525 | £0.525 | £0.525 | 673 080 |
Oct 27, 2016 | £0.525 | £0.525 | £0.525 | £0.525 | 1 019 223 |
Oct 26, 2016 | £0.525 | £0.525 | £0.475 | £0.525 | 4 098 496 |
Oct 25, 2016 | £0.525 | £0.525 | £0.525 | £0.525 | 960 680 |
Oct 24, 2016 | £0.575 | £0.575 | £0.525 | £0.525 | 488 671 |
Oct 21, 2016 | £0.575 | £0.575 | £0.575 | £0.575 | 550 000 |
Oct 20, 2016 | £0.575 | £0.575 | £0.575 | £0.575 | 2 956 805 |
Oct 19, 2016 | £0.575 | £0.625 | £0.575 | £0.575 | 12 278 627 |
Oct 18, 2016 | £0.525 | £0.575 | £0.510 | £0.575 | 8 954 784 |
Oct 17, 2016 | £0.575 | £0.575 | £0.525 | £0.525 | 4 432 896 |
Oct 14, 2016 | £0.500 | £0.525 | £0.500 | £0.525 | 6 365 632 |
Oct 13, 2016 | £0.525 | £0.525 | £0.500 | £0.500 | 2 766 521 |
Oct 12, 2016 | £0.500 | £0.550 | £0.500 | £0.525 | 4 867 136 |
Oct 11, 2016 | £0.525 | £0.525 | £0.475 | £0.500 | 3 424 077 |
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 RGM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the RGM.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 RGM.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.