XLON:MXCP
Delisted
MXC Capital Limited Stock Price (Quote)
£0.480
+0 (+0%)
At Close: Apr 06, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.412 | £0.560 | Monday, 6th Apr 2020 MXCP.L stock ended at £0.480. During the day the stock fluctuated 0% from a day low at £0.480 to a day high of £0.480. |
90 days | £0.412 | £0.782 | |
52 weeks | £0.412 | £1.15 |
Historical MXC Capital Limited prices
Date | Open | High | Low | Close | Volume |
Sep 28, 2016 | £3.15 | £3.23 | £3.15 | £3.23 | 3 188 047 |
Sep 27, 2016 | £3.25 | £3.25 | £3.13 | £3.15 | 954 119 |
Sep 26, 2016 | £3.25 | £3.25 | £3.25 | £3.25 | 362 156 |
Sep 23, 2016 | £3.23 | £3.30 | £3.23 | £3.25 | 1 340 249 |
Sep 22, 2016 | £3.23 | £3.23 | £3.23 | £3.23 | 0 |
Sep 21, 2016 | £3.23 | £3.23 | £3.23 | £3.23 | 13 414 |
Sep 20, 2016 | £3.18 | £3.23 | £3.18 | £3.23 | 3 450 286 |
Sep 19, 2016 | £3.18 | £3.18 | £3.18 | £3.18 | 2 615 655 |
Sep 16, 2016 | £3.18 | £3.18 | £3.18 | £3.18 | 3 021 240 |
Sep 15, 2016 | £3.23 | £3.23 | £3.18 | £3.18 | 149 084 |
Sep 14, 2016 | £3.25 | £3.30 | £3.25 | £3.25 | 909 172 |
Sep 13, 2016 | £3.25 | £3.30 | £3.25 | £3.25 | 999 158 |
Sep 12, 2016 | £3.25 | £3.25 | £3.25 | £3.25 | 230 118 |
Sep 09, 2016 | £3.20 | £3.20 | £3.18 | £3.18 | 584 553 |
Sep 08, 2016 | £3.25 | £3.25 | £3.15 | £3.20 | 1 264 801 |
Sep 07, 2016 | £3.18 | £3.20 | £3.15 | £3.20 | 1 627 183 |
Sep 06, 2016 | £3.25 | £3.30 | £3.18 | £3.18 | 2 626 689 |
Sep 05, 2016 | £3.20 | £3.25 | £3.20 | £3.25 | 2 434 949 |
Sep 02, 2016 | £3.15 | £3.20 | £3.15 | £3.20 | 864 676 |
Sep 01, 2016 | £3.20 | £3.20 | £3.15 | £3.15 | 241 152 |
Aug 31, 2016 | £3.35 | £3.35 | £3.23 | £3.23 | 710 109 |
Aug 30, 2016 | £3.20 | £3.35 | £3.20 | £3.35 | 1 235 550 |
Aug 26, 2016 | £3.20 | £3.20 | £3.20 | £3.20 | 0 |
Aug 25, 2016 | £3.15 | £3.23 | £3.10 | £3.23 | 2 417 108 |
Aug 24, 2016 | £2.90 | £2.90 | £2.90 | £2.90 | 403 794 |
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 MXCP.L stock historical prices to predict future price movements?
Trend Analysis: Examine the MXCP.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 MXCP.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.