PINK:KKPNY
Koninklijke KPN N.V. Stock Price (Quote)
$3.79
+0.0300 (+0.798%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.45 | $3.84 | Friday, 17th May 2024 KKPNY stock ended at $3.79. This is 0.798% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.33% from a day low at $3.77 to a day high of $3.82. |
90 days | $3.45 | $3.87 | |
52 weeks | $3.20 | $3.87 |
Date | Open | High | Low | Close | Volume |
May 02, 2016 | $3.93 | $3.96 | $3.90 | $3.94 | 193 344 |
Apr 29, 2016 | $3.96 | $3.98 | $3.88 | $3.97 | 155 480 |
Apr 28, 2016 | $3.79 | $3.82 | $3.77 | $3.81 | 293 574 |
Apr 27, 2016 | $3.90 | $3.90 | $3.83 | $3.87 | 186 078 |
Apr 26, 2016 | $3.84 | $3.86 | $3.78 | $3.82 | 861 777 |
Apr 25, 2016 | $3.84 | $3.85 | $3.81 | $3.84 | 301 151 |
Apr 22, 2016 | $3.89 | $3.90 | $3.81 | $3.90 | 334 795 |
Apr 21, 2016 | $3.99 | $3.99 | $3.86 | $3.92 | 249 616 |
Apr 20, 2016 | $4.04 | $4.05 | $3.99 | $4.00 | 445 383 |
Apr 19, 2016 | $4.10 | $4.10 | $4.02 | $4.06 | 346 491 |
Apr 18, 2016 | $4.00 | $4.04 | $3.99 | $4.01 | 197 943 |
Apr 15, 2016 | $3.91 | $3.95 | $3.91 | $3.93 | 198 774 |
Apr 14, 2016 | $3.84 | $3.86 | $3.81 | $3.85 | 310 632 |
Apr 13, 2016 | $3.98 | $3.99 | $3.87 | $3.91 | 477 414 |
Apr 12, 2016 | $4.02 | $4.06 | $3.99 | $4.06 | 176 455 |
Apr 11, 2016 | $4.01 | $4.03 | $3.99 | $3.99 | 136 898 |
Apr 08, 2016 | $4.00 | $4.01 | $3.96 | $3.96 | 176 802 |
Apr 07, 2016 | $4.11 | $4.13 | $4.05 | $4.07 | 246 925 |
Apr 06, 2016 | $4.10 | $4.17 | $4.10 | $4.14 | 211 708 |
Apr 05, 2016 | $4.06 | $4.10 | $4.06 | $4.09 | 130 465 |
Apr 04, 2016 | $4.18 | $4.23 | $4.17 | $4.20 | 108 143 |
Apr 01, 2016 | $4.14 | $4.20 | $4.14 | $4.18 | 175 796 |
Mar 31, 2016 | $4.24 | $4.26 | $4.23 | $4.25 | 200 809 |
Mar 30, 2016 | $4.20 | $4.24 | $4.20 | $4.23 | 163 201 |
Mar 29, 2016 | $4.07 | $4.18 | $4.07 | $4.16 | 257 044 |
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 KKPNY stock historical prices to predict future price movements?
Trend Analysis: Examine the KKPNY 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 KKPNY 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.