AMS:KPN
Delisted
Royal KPN NV Stock Price (Quote)
2.08€
-0.0200 (-0.95%)
At Close: Apr 20, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 2.06€ | 2.27€ | Monday, 20th Apr 2020 KPN.AS stock ended at 2.08€. This is 0.95% less than the trading day before Friday, 17th Apr 2020. During the day the stock fluctuated 2.91% from a day low at 2.06€ to a day high of 2.12€. |
90 days | 1.70€ | 2.79€ | |
52 weeks | 1.70€ | 2.98€ |
Date | Open | High | Low | Close | Volume |
Aug 16, 2019 | 2.72€ | 2.77€ | 2.72€ | 2.77€ | 15 634 893 |
Aug 15, 2019 | 2.71€ | 2.73€ | 2.69€ | 2.72€ | 15 115 062 |
Aug 14, 2019 | 2.71€ | 2.74€ | 2.68€ | 2.70€ | 14 068 821 |
Aug 13, 2019 | 2.68€ | 2.72€ | 2.67€ | 2.72€ | 18 450 944 |
Aug 12, 2019 | 2.68€ | 2.71€ | 2.67€ | 2.69€ | 12 009 962 |
Aug 09, 2019 | 2.68€ | 2.69€ | 2.67€ | 2.68€ | 12 504 066 |
Aug 08, 2019 | 2.70€ | 2.71€ | 2.68€ | 2.69€ | 17 549 115 |
Aug 07, 2019 | 2.71€ | 2.71€ | 2.68€ | 2.68€ | 17 429 634 |
Aug 06, 2019 | 2.66€ | 2.71€ | 2.65€ | 2.69€ | 22 091 133 |
Aug 05, 2019 | 2.64€ | 2.70€ | 2.64€ | 2.65€ | 22 310 679 |
Aug 02, 2019 | 2.60€ | 2.67€ | 2.59€ | 2.66€ | 24 924 111 |
Aug 01, 2019 | 2.58€ | 2.63€ | 2.57€ | 2.62€ | 18 345 176 |
Jul 31, 2019 | 2.59€ | 2.60€ | 2.56€ | 2.58€ | 15 016 307 |
Jul 30, 2019 | 2.64€ | 2.64€ | 2.58€ | 2.58€ | 13 245 590 |
Jul 29, 2019 | 2.57€ | 2.65€ | 2.57€ | 2.63€ | 25 720 736 |
Jul 26, 2019 | 2.59€ | 2.59€ | 2.52€ | 2.56€ | 24 804 000 |
Jul 25, 2019 | 2.67€ | 2.69€ | 2.61€ | 2.62€ | 23 527 317 |
Jul 24, 2019 | 2.65€ | 2.67€ | 2.62€ | 2.65€ | 34 706 264 |
Jul 23, 2019 | 2.60€ | 2.61€ | 2.58€ | 2.58€ | 16 639 865 |
Jul 22, 2019 | 2.62€ | 2.62€ | 2.57€ | 2.59€ | 14 246 347 |
Jul 19, 2019 | 2.64€ | 2.66€ | 2.61€ | 2.62€ | 15 437 955 |
Jul 18, 2019 | 2.60€ | 2.66€ | 2.60€ | 2.64€ | 15 738 218 |
Jul 17, 2019 | 2.61€ | 2.69€ | 2.59€ | 2.62€ | 18 200 590 |
Jul 16, 2019 | 2.63€ | 2.64€ | 2.59€ | 2.62€ | 14 650 645 |
Jul 15, 2019 | 2.66€ | 2.66€ | 2.63€ | 2.63€ | 14 037 968 |
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 KPN.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the KPN.AS 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 KPN.AS 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.