XLON:KNOS
Kronos Advanced Techs Inc Stock Price (Quote)
£1,222.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £965.00 | £1,288.00 | Thursday, 30th May 2024 KNOS.L stock ended at £1,222.00. During the day the stock fluctuated 0% from a day low at £1,222.00 to a day high of £1,222.00. |
90 days | £905.00 | £1,288.00 | |
52 weeks | £900.50 | £1,421.00 |
Historical Kronos Advanced Techs Inc prices
Date | Open | High | Low | Close | Volume |
Apr 26, 2023 | £1,212.53 | £1,230.00 | £1,193.00 | £1,225.00 | 147 621 |
Apr 25, 2023 | £1,241.00 | £1,253.00 | £1,220.00 | £1,223.00 | 116 895 |
Apr 24, 2023 | £1,243.00 | £1,243.00 | £1,243.00 | £1,243.00 | 0 |
Apr 21, 2023 | £1,210.00 | £1,243.00 | £1,202.00 | £1,243.00 | 420 375 |
Apr 20, 2023 | £1,249.00 | £1,251.00 | £1,179.00 | £1,213.00 | 368 329 |
Apr 19, 2023 | £1,383.00 | £1,387.00 | £1,257.00 | £1,274.00 | 343 708 |
Apr 18, 2023 | £1,412.00 | £1,412.00 | £1,376.00 | £1,385.00 | 94 841 |
Apr 17, 2023 | £1,392.00 | £1,402.00 | £1,378.00 | £1,382.00 | 54 282 |
Apr 14, 2023 | £1,375.00 | £1,408.00 | £1,375.00 | £1,391.00 | 82 321 |
Apr 13, 2023 | £1,350.00 | £1,377.00 | £1,346.80 | £1,377.00 | 119 038 |
Apr 12, 2023 | £1,348.00 | £1,375.00 | £1,337.90 | £1,359.00 | 120 060 |
Apr 11, 2023 | £1,350.00 | £1,369.00 | £1,330.00 | £1,348.00 | 73 283 |
Apr 06, 2023 | £1,349.00 | £1,349.00 | £1,317.00 | £1,343.00 | 79 885 |
Apr 05, 2023 | £1,365.00 | £1,365.00 | £1,303.00 | £1,324.00 | 215 787 |
Apr 04, 2023 | £1,370.00 | £1,370.00 | £1,339.60 | £1,359.00 | 123 201 |
Apr 03, 2023 | £1,394.87 | £1,394.87 | £1,333.00 | £1,333.00 | 120 824 |
Mar 31, 2023 | £1,412.00 | £1,412.00 | £1,376.00 | £1,382.00 | 101 210 |
Mar 30, 2023 | £1,401.00 | £1,410.00 | £1,392.00 | £1,409.00 | 145 581 |
Mar 29, 2023 | £1,360.00 | £1,360.00 | £1,360.00 | £1,360.00 | 0 |
Mar 28, 2023 | £1,388.00 | £1,403.00 | £1,343.00 | £1,360.00 | 329 718 |
Mar 27, 2023 | £1,406.00 | £1,406.00 | £1,375.00 | £1,387.00 | 505 807 |
Mar 24, 2023 | £1,360.00 | £1,375.00 | £1,340.00 | £1,371.00 | 442 804 |
Mar 23, 2023 | £1,336.00 | £1,358.00 | £1,336.00 | £1,354.00 | 107 270 |
Mar 22, 2023 | £1,346.00 | £1,347.00 | £1,330.00 | £1,341.00 | 126 971 |
Mar 21, 2023 | £1,339.00 | £1,351.00 | £1,328.00 | £1,346.00 | 88 492 |
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 KNOS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the KNOS.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 KNOS.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.