XLON:IWG
IWG plc Stock Price (Quote)
£205.20
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £185.00 | £211.00 | Thursday, 30th May 2024 IWG.L stock ended at £205.20. During the day the stock fluctuated 0% from a day low at £205.20 to a day high of £205.20. |
90 days | £171.60 | £211.00 | |
52 weeks | £122.50 | £211.00 |
Historical IWG plc prices
Date | Open | High | Low | Close | Volume |
Jan 12, 2018 | £2.61 | £2.70 | £2.61 | £2.64 | 3 802 727 |
Jan 11, 2018 | £2.59 | £2.62 | £2.54 | £2.62 | 4 002 227 |
Jan 10, 2018 | £2.62 | £2.62 | £2.56 | £2.57 | 3 788 398 |
Jan 09, 2018 | £2.61 | £2.65 | £2.58 | £2.63 | 2 504 185 |
Jan 08, 2018 | £2.63 | £2.65 | £2.59 | £2.61 | 2 694 947 |
Jan 05, 2018 | £2.58 | £2.63 | £2.58 | £2.61 | 3 523 375 |
Jan 04, 2018 | £2.56 | £2.60 | £2.55 | £2.60 | 2 941 248 |
Jan 03, 2018 | £2.57 | £2.59 | £2.52 | £2.59 | 3 164 314 |
Jan 02, 2018 | £2.56 | £2.60 | £2.53 | £2.55 | 3 875 691 |
Dec 29, 2017 | £2.52 | £2.58 | £2.51 | £2.57 | 3 005 162 |
Dec 28, 2017 | £2.53 | £2.56 | £2.43 | £2.51 | 8 550 850 |
Dec 27, 2017 | £2.40 | £2.71 | £2.35 | £2.54 | 16 065 411 |
Dec 26, 2017 | £2.00 | £2.00 | £2.00 | £2.00 | 0 |
Dec 22, 2017 | £1.99 | £2.02 | £1.99 | £2.00 | 767 411 |
Dec 21, 2017 | £1.99 | £2.01 | £1.97 | £2.00 | 4 544 392 |
Dec 20, 2017 | £2.00 | £2.04 | £1.97 | £1.99 | 1 647 047 |
Dec 19, 2017 | £2.05 | £2.06 | £1.99 | £2.00 | 14 228 378 |
Dec 18, 2017 | £1.98 | £2.04 | £1.98 | £2.04 | 9 825 997 |
Dec 15, 2017 | £1.92 | £1.97 | £1.91 | £1.96 | 12 051 548 |
Dec 14, 2017 | £1.96 | £1.96 | £1.91 | £1.92 | 11 441 444 |
Dec 13, 2017 | £2.01 | £2.02 | £1.97 | £1.97 | 4 240 424 |
Dec 12, 2017 | £1.99 | £2.03 | £1.98 | £2.01 | 1 690 071 |
Dec 11, 2017 | £1.97 | £2.01 | £1.96 | £2.00 | 1 926 265 |
Dec 08, 2017 | £1.92 | £1.97 | £1.92 | £1.96 | 2 904 212 |
Dec 07, 2017 | £1.90 | £1.93 | £1.89 | £1.92 | 2 962 261 |
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 IWG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the IWG.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 IWG.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.