XLON:MNDI
Mondi Stock Price (Quote)
£1,463.00
-8.00 (-0.544%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1,454.50 | £1,613.00 | Friday, 14th Jun 2024 MNDI.L stock ended at £1,463.00. This is 0.544% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.51% from a day low at £1,454.50 to a day high of £1,476.50. |
90 days | £1,304.00 | £1,618.00 | |
52 weeks | £1,173.59 | £1,643.40 |
Historical Mondi prices
Date | Open | High | Low | Close | Volume |
Feb 09, 2016 | £1,147.00 | £1,160.00 | £1,122.00 | £1,143.00 | 2 096 135 |
Feb 08, 2016 | £1,166.00 | £1,174.00 | £1,132.00 | £1,137.00 | 2 309 112 |
Feb 05, 2016 | £1,146.00 | £1,187.00 | £1,146.00 | £1,166.00 | 2 279 650 |
Feb 04, 2016 | £1,156.00 | £1,167.00 | £1,138.00 | £1,150.00 | 2 212 422 |
Feb 03, 2016 | £1,123.00 | £1,143.00 | £1,108.00 | £1,128.00 | 2 017 562 |
Feb 02, 2016 | £1,150.00 | £1,156.00 | £1,125.00 | £1,130.00 | 1 815 313 |
Feb 01, 2016 | £1,151.00 | £1,161.00 | £1,137.00 | £1,155.00 | 2 049 990 |
Jan 29, 2016 | £1,136.00 | £1,138.00 | £1,112.00 | £1,136.00 | 2 497 750 |
Jan 28, 2016 | £1,157.00 | £1,173.00 | £1,117.00 | £1,124.00 | 1 621 280 |
Jan 27, 2016 | £1,166.00 | £1,169.00 | £1,145.00 | £1,169.00 | 1 377 878 |
Jan 26, 2016 | £1,170.00 | £1,170.00 | £1,139.00 | £1,160.00 | 2 569 477 |
Jan 25, 2016 | £1,236.00 | £1,236.00 | £1,187.00 | £1,192.00 | 1 372 319 |
Jan 22, 2016 | £1,226.00 | £1,238.00 | £1,219.00 | £1,222.00 | 1 345 249 |
Jan 21, 2016 | £1,175.00 | £1,205.00 | £1,172.00 | £1,199.00 | 1 252 106 |
Jan 20, 2016 | £1,192.00 | £1,196.00 | £1,161.00 | £1,169.00 | 1 575 620 |
Jan 19, 2016 | £1,224.00 | £1,235.00 | £1,207.00 | £1,213.00 | 1 736 119 |
Jan 18, 2016 | £1,186.00 | £1,210.00 | £1,181.00 | £1,197.00 | 1 249 763 |
Jan 15, 2016 | £1,223.00 | £1,229.00 | £1,180.00 | £1,186.00 | 2 059 823 |
Jan 14, 2016 | £1,250.00 | £1,258.00 | £1,224.00 | £1,231.00 | 1 581 619 |
Jan 13, 2016 | £1,255.00 | £1,283.00 | £1,250.00 | £1,271.00 | 1 434 369 |
Jan 12, 2016 | £1,212.00 | £1,268.00 | £1,198.00 | £1,256.00 | 1 526 237 |
Jan 11, 2016 | £1,199.00 | £1,235.00 | £1,185.00 | £1,217.00 | 1 614 236 |
Jan 08, 2016 | £1,246.00 | £1,263.00 | £1,223.00 | £1,223.00 | 1 498 948 |
Jan 07, 2016 | £1,249.00 | £1,255.00 | £1,218.00 | £1,246.00 | 1 599 888 |
Jan 06, 2016 | £1,282.00 | £1,289.00 | £1,262.00 | £1,283.00 | 1 069 607 |
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 MNDI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the MNDI.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 MNDI.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.