XLON:KIE
Kier Group plc Stock Price (Quote)
£147.40
+0.200 (+0.136%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £126.20 | £151.60 | Thursday, 23rd May 2024 KIE.L stock ended at £147.40. This is 0.136% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.57% from a day low at £144.80 to a day high of £148.53. |
90 days | £122.60 | £151.60 | |
52 weeks | £72.20 | £151.60 |
Date | Open | High | Low | Close | Volume |
Nov 01, 2016 | £1,379.00 | £1,386.00 | £1,348.00 | £1,353.00 | 165 682 |
Oct 31, 2016 | £1,354.00 | £1,363.00 | £1,336.00 | £1,359.00 | 159 210 |
Oct 28, 2016 | £1,351.00 | £1,361.00 | £1,330.00 | £1,355.00 | 196 175 |
Oct 27, 2016 | £1,350.00 | £1,370.00 | £1,316.00 | £1,352.00 | 254 999 |
Oct 26, 2016 | £1,375.00 | £1,375.00 | £1,329.00 | £1,347.00 | 178 302 |
Oct 25, 2016 | £1,372.00 | £1,374.00 | £1,346.00 | £1,346.00 | 134 234 |
Oct 24, 2016 | £1,370.00 | £1,390.00 | £1,363.00 | £1,366.00 | 159 290 |
Oct 21, 2016 | £1,364.00 | £1,374.00 | £1,357.00 | £1,360.00 | 158 162 |
Oct 20, 2016 | £1,372.00 | £1,380.00 | £1,354.00 | £1,368.00 | 505 761 |
Oct 19, 2016 | £1,368.00 | £1,371.00 | £1,338.00 | £1,371.00 | 227 711 |
Oct 18, 2016 | £1,350.00 | £1,378.00 | £1,350.00 | £1,370.00 | 612 450 |
Oct 17, 2016 | £1,348.00 | £1,363.00 | £1,339.00 | £1,349.00 | 253 147 |
Oct 14, 2016 | £1,344.00 | £1,359.00 | £1,323.00 | £1,359.00 | 215 365 |
Oct 13, 2016 | £1,337.00 | £1,351.00 | £1,326.00 | £1,334.00 | 265 070 |
Oct 12, 2016 | £1,358.00 | £1,377.00 | £1,341.00 | £1,349.00 | 181 599 |
Oct 11, 2016 | £1,340.00 | £1,362.00 | £1,330.00 | £1,358.00 | 232 551 |
Oct 10, 2016 | £1,355.00 | £1,355.00 | £1,328.00 | £1,336.00 | 387 892 |
Oct 07, 2016 | £1,381.00 | £1,386.00 | £1,333.00 | £1,343.00 | 467 942 |
Oct 06, 2016 | £1,379.00 | £1,379.00 | £1,355.00 | £1,360.00 | 311 018 |
Oct 05, 2016 | £1,363.00 | £1,374.00 | £1,347.00 | £1,372.00 | 396 125 |
Oct 04, 2016 | £1,351.00 | £1,403.00 | £1,351.00 | £1,371.00 | 614 191 |
Oct 03, 2016 | £1,313.00 | £1,359.00 | £1,308.00 | £1,355.00 | 514 078 |
Sep 30, 2016 | £1,301.00 | £1,322.00 | £1,287.00 | £1,313.00 | 408 276 |
Sep 29, 2016 | £1,324.00 | £1,332.00 | £1,307.00 | £1,311.00 | 567 802 |
Sep 28, 2016 | £1,324.00 | £1,358.00 | £1,318.00 | £1,355.00 | 582 676 |
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 KIE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the KIE.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 KIE.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.