XLON:MGP
Delisted
MGM Growth Properties LLC Stock Price (Quote)
£211.00
+0 (+0%)
At Close: Oct 03, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £211.00 | £211.00 | Tuesday, 3rd Oct 2023 MGP.L stock ended at £211.00. During the day the stock fluctuated 0% from a day low at £211.00 to a day high of £211.00. |
90 days | £211.00 | £212.00 | |
52 weeks | £118.25 | £215.00 |
Date | Open | High | Low | Close | Volume |
Sep 05, 2017 | £2.20 | £2.22 | £2.16 | £2.19 | 94 097 |
Sep 04, 2017 | £221.00 | £221.00 | £216.25 | £217.00 | 175 639 |
Sep 01, 2017 | £2.22 | £2.22 | £2.13 | £2.17 | 130 539 |
Aug 31, 2017 | £2.20 | £2.23 | £2.16 | £2.18 | 65 635 |
Aug 30, 2017 | £2.15 | £2.27 | £2.12 | £2.24 | 220 111 |
Aug 29, 2017 | £2.04 | £2.14 | £2.04 | £2.11 | 77 356 |
Aug 28, 2017 | £2.13 | £2.13 | £2.13 | £2.13 | 0 |
Aug 25, 2017 | £2.05 | £2.13 | £1.95 | £2.13 | 703 978 |
Aug 24, 2017 | £2.08 | £2.13 | £1.96 | £2.07 | 201 246 |
Aug 23, 2017 | £2.10 | £2.15 | £2.08 | £2.11 | 71 800 |
Aug 22, 2017 | £2.12 | £2.14 | £2.09 | £2.11 | 219 039 |
Aug 21, 2017 | £2.15 | £2.15 | £2.08 | £2.14 | 737 924 |
Aug 18, 2017 | £2.12 | £2.20 | £2.10 | £2.20 | 797 321 |
Aug 17, 2017 | £2.12 | £2.15 | £2.12 | £2.12 | 25 574 |
Aug 16, 2017 | £2.10 | £2.16 | £2.10 | £2.15 | 738 652 |
Aug 15, 2017 | £2.14 | £2.14 | £2.10 | £2.14 | 42 071 |
Aug 14, 2017 | £2.09 | £2.13 | £2.08 | £2.13 | 235 805 |
Aug 11, 2017 | £2.12 | £2.15 | £2.08 | £2.08 | 473 314 |
Aug 10, 2017 | £2.15 | £2.19 | £2.13 | £2.13 | 1 083 911 |
Aug 09, 2017 | £2.15 | £2.20 | £2.12 | £2.15 | 172 045 |
Aug 08, 2017 | £2.14 | £2.18 | £2.14 | £2.14 | 31 276 |
Aug 07, 2017 | £2.13 | £2.17 | £2.12 | £2.14 | 112 349 |
Aug 04, 2017 | £2.13 | £2.19 | £2.13 | £2.13 | 131 830 |
Aug 03, 2017 | £2.17 | £2.17 | £2.13 | £2.13 | 323 167 |
Aug 02, 2017 | £2.17 | £2.17 | £2.12 | £2.17 | 12 135 |
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 MGP.L stock historical prices to predict future price movements?
Trend Analysis: Examine the MGP.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 MGP.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.