PINK:KKPNY
Koninklijke KPN N.V. Stock Price (Quote)
$3.73
-0.0900 (-2.36%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.50 | $3.84 | Tuesday, 21st May 2024 KKPNY stock ended at $3.73. This is 2.36% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 2.43% from a day low at $3.71 to a day high of $3.80. |
90 days | $3.45 | $3.87 | |
52 weeks | $3.20 | $3.87 |
Date | Open | High | Low | Close | Volume |
May 21, 2024 | $3.80 | $3.80 | $3.71 | $3.73 | 161 607 |
May 20, 2024 | $3.79 | $3.82 | $3.75 | $3.82 | 142 477 |
May 17, 2024 | $3.79 | $3.82 | $3.77 | $3.79 | 140 076 |
May 16, 2024 | $3.83 | $3.83 | $3.76 | $3.76 | 1 123 691 |
May 15, 2024 | $3.84 | $3.84 | $3.74 | $3.78 | 275 787 |
May 14, 2024 | $3.74 | $3.77 | $3.74 | $3.75 | 8 159 141 |
May 13, 2024 | $3.72 | $3.75 | $3.70 | $3.75 | 1 379 569 |
May 10, 2024 | $3.62 | $3.72 | $3.62 | $3.71 | 7 492 438 |
May 09, 2024 | $3.75 | $3.75 | $3.63 | $3.64 | 116 353 |
May 08, 2024 | $3.57 | $3.61 | $3.57 | $3.58 | 166 037 |
May 07, 2024 | $3.60 | $3.64 | $3.58 | $3.61 | 122 759 |
May 06, 2024 | $3.59 | $3.62 | $3.57 | $3.60 | 239 606 |
May 03, 2024 | $3.69 | $3.69 | $3.56 | $3.59 | 128 267 |
May 02, 2024 | $3.62 | $3.62 | $3.56 | $3.58 | 124 951 |
May 01, 2024 | $3.69 | $3.69 | $3.55 | $3.60 | 88 542 |
Apr 30, 2024 | $3.56 | $3.69 | $3.56 | $3.56 | 115 641 |
Apr 29, 2024 | $3.64 | $3.67 | $3.63 | $3.65 | 112 215 |
Apr 26, 2024 | $3.65 | $3.66 | $3.61 | $3.65 | 159 486 |
Apr 25, 2024 | $3.59 | $3.67 | $3.59 | $3.62 | 139 055 |
Apr 24, 2024 | $3.61 | $3.63 | $3.57 | $3.62 | 138 960 |
Apr 23, 2024 | $3.55 | $3.64 | $3.55 | $3.57 | 146 157 |
Apr 22, 2024 | $3.54 | $3.57 | $3.50 | $3.54 | 189 024 |
Apr 19, 2024 | $3.45 | $3.54 | $3.45 | $3.51 | 119 579 |
Apr 18, 2024 | $3.52 | $3.70 | $3.52 | $3.54 | 158 200 |
Apr 17, 2024 | $3.57 | $3.57 | $3.52 | $3.54 | 164 810 |
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.