XLON:0LNC
Delisted
Koninklijke KPN NV Stock Price (Quote)
£2.69
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £2.69 | £2.69 | Thursday, 8th Aug 2019 0LNC.L stock ended at £2.69. During the day the stock fluctuated 0% from a day low at £2.69 to a day high of £2.69. |
90 days | £2.51 | £2.90 | |
52 weeks | £2.07 | £2.95 |
Date | Open | High | Low | Close | Volume |
Aug 22, 2016 | £2.95 | £3.00 | £2.95 | £2.97 | 1 405 079 |
Aug 19, 2016 | £2.98 | £2.99 | £2.95 | £2.96 | 1 612 551 |
Aug 18, 2016 | £2.99 | £3.00 | £2.96 | £2.98 | 3 614 701 |
Aug 17, 2016 | £3.07 | £3.07 | £2.98 | £3.01 | 4 164 666 |
Aug 16, 2016 | £3.04 | £3.07 | £3.02 | £3.05 | 6 320 759 |
Aug 15, 2016 | £3.06 | £3.06 | £3.03 | £3.05 | 2 116 888 |
Aug 12, 2016 | £3.06 | £3.06 | £3.03 | £3.05 | 2 659 062 |
Aug 11, 2016 | £3.04 | £3.06 | £3.02 | £3.06 | 4 368 080 |
Aug 10, 2016 | £3.01 | £3.03 | £3.00 | £3.02 | 5 809 780 |
Aug 09, 2016 | £2.98 | £3.03 | £2.97 | £3.02 | 2 347 314 |
Aug 08, 2016 | £2.98 | £2.99 | £2.96 | £2.97 | 9 075 343 |
Aug 05, 2016 | £2.92 | £2.99 | £2.92 | £2.97 | 620 788 |
Aug 04, 2016 | £2.97 | £2.97 | £2.89 | £2.93 | 2 966 064 |
Aug 03, 2016 | £2.96 | £2.96 | £2.93 | £2.95 | 438 407 |
Aug 02, 2016 | £2.99 | £3.00 | £2.94 | £2.95 | 586 508 |
Aug 01, 2016 | £2.95 | £2.99 | £2.92 | £2.99 | 2 555 255 |
Jul 29, 2016 | £2.90 | £2.94 | £2.87 | £2.91 | 1 688 201 |
Jul 28, 2016 | £2.95 | £3.02 | £2.90 | £2.95 | 5 313 412 |
Jul 27, 2016 | £3.09 | £3.09 | £2.96 | £2.94 | 1 196 152 |
Jul 26, 2016 | £3.11 | £3.13 | £3.08 | £3.08 | 694 635 |
Jul 25, 2016 | £3.16 | £3.16 | £3.08 | £3.10 | 682 720 |
Jul 22, 2016 | £3.07 | £3.15 | £3.07 | £3.15 | 1 078 175 |
Jul 21, 2016 | £3.12 | £3.12 | £3.00 | £3.03 | 1 668 576 |
Jul 20, 2016 | £3.18 | £3.18 | £3.11 | £3.12 | 998 461 |
Jul 19, 2016 | £3.16 | £3.18 | £3.15 | £3.16 | 1 133 694 |
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 0LNC.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0LNC.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 0LNC.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.