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 |
Sep 27, 2016 | £2.99 | £3.00 | £2.96 | £2.99 | 2 157 855 |
Sep 26, 2016 | £2.99 | £2.99 | £2.96 | £2.97 | 3 713 697 |
Sep 23, 2016 | £2.99 | £3.01 | £2.99 | £3.00 | 3 689 054 |
Sep 22, 2016 | £2.92 | £3.00 | £2.92 | £3.00 | 4 366 113 |
Sep 21, 2016 | £2.88 | £2.93 | £2.88 | £2.92 | 2 127 227 |
Sep 20, 2016 | £2.84 | £2.87 | £2.82 | £2.87 | 10 971 611 |
Sep 19, 2016 | £2.82 | £2.85 | £2.80 | £2.82 | 3 475 083 |
Sep 16, 2016 | £2.80 | £2.82 | £2.78 | £2.80 | 1 714 516 |
Sep 15, 2016 | £2.77 | £2.79 | £2.75 | £2.79 | 1 999 143 |
Sep 14, 2016 | £2.81 | £2.81 | £2.77 | £2.78 | 2 147 319 |
Sep 13, 2016 | £2.84 | £2.85 | £2.80 | £2.81 | 733 194 |
Sep 12, 2016 | £2.82 | £2.84 | £2.79 | £2.82 | 1 664 745 |
Sep 09, 2016 | £2.93 | £2.93 | £2.86 | £2.89 | 820 340 |
Sep 08, 2016 | £2.93 | £2.94 | £2.92 | £2.94 | 563 881 |
Sep 07, 2016 | £2.92 | £2.93 | £2.90 | £2.92 | 2 058 252 |
Sep 06, 2016 | £2.92 | £2.93 | £2.89 | £2.91 | 4 187 102 |
Sep 05, 2016 | £2.91 | £2.93 | £2.89 | £2.91 | 16 171 283 |
Sep 02, 2016 | £2.89 | £2.89 | £2.84 | £2.90 | 3 237 730 |
Sep 01, 2016 | £2.93 | £2.93 | £2.87 | £2.88 | 5 204 993 |
Aug 31, 2016 | £2.91 | £2.94 | £2.90 | £2.92 | 9 720 090 |
Aug 30, 2016 | £2.92 | £2.95 | £2.91 | £2.92 | 757 263 |
Aug 26, 2016 | £2.94 | £2.94 | £2.94 | £2.94 | 0 |
Aug 25, 2016 | £2.94 | £2.96 | £2.93 | £2.94 | 830 589 |
Aug 24, 2016 | £2.98 | £2.98 | £2.95 | £2.96 | 10 118 096 |
Aug 23, 2016 | £2.99 | £2.99 | £2.97 | £2.98 | 2 243 160 |
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.