PAR:GET
Getlink SE Stock Price (Quote)
16.73€
+0.0550 (+0.330%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 15.22€ | 16.86€ | Friday, 17th May 2024 GET.PA stock ended at 16.73€. This is 0.330% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.15% from a day low at 16.58€ to a day high of 16.77€. |
90 days | 14.92€ | 16.86€ | |
52 weeks | 14.20€ | 17.35€ |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | 16.63€ | 16.77€ | 16.58€ | 16.73€ | 627 150 |
May 16, 2024 | 16.57€ | 16.78€ | 16.52€ | 16.68€ | 542 891 |
May 15, 2024 | 16.60€ | 16.76€ | 16.53€ | 16.58€ | 653 205 |
May 14, 2024 | 16.69€ | 16.80€ | 16.54€ | 16.58€ | 576 410 |
May 13, 2024 | 16.59€ | 16.75€ | 16.59€ | 16.70€ | 593 146 |
May 10, 2024 | 16.79€ | 16.86€ | 16.55€ | 16.59€ | 632 558 |
May 09, 2024 | 16.74€ | 16.85€ | 16.70€ | 16.76€ | 343 686 |
May 08, 2024 | 16.66€ | 16.82€ | 16.66€ | 16.71€ | 455 978 |
May 07, 2024 | 16.54€ | 16.76€ | 16.54€ | 16.64€ | 577 094 |
May 06, 2024 | 16.58€ | 16.61€ | 16.46€ | 16.54€ | 478 773 |
May 03, 2024 | 16.42€ | 16.67€ | 16.41€ | 16.56€ | 634 496 |
May 02, 2024 | 16.20€ | 16.65€ | 16.20€ | 16.31€ | 977 808 |
Apr 30, 2024 | 16.46€ | 16.48€ | 15.91€ | 16.00€ | 1 332 679 |
Apr 29, 2024 | 15.81€ | 16.03€ | 15.72€ | 15.72€ | 594 976 |
Apr 26, 2024 | 15.74€ | 15.86€ | 15.69€ | 15.81€ | 759 043 |
Apr 25, 2024 | 15.65€ | 15.81€ | 15.53€ | 15.64€ | 844 504 |
Apr 24, 2024 | 15.68€ | 15.68€ | 15.38€ | 15.42€ | 927 895 |
Apr 23, 2024 | 15.43€ | 15.77€ | 15.35€ | 15.70€ | 764 954 |
Apr 22, 2024 | 15.56€ | 15.64€ | 15.40€ | 15.44€ | 564 603 |
Apr 19, 2024 | 15.44€ | 15.59€ | 15.42€ | 15.55€ | 405 945 |
Apr 18, 2024 | 15.35€ | 15.60€ | 15.28€ | 15.53€ | 559 149 |
Apr 17, 2024 | 15.23€ | 15.50€ | 15.22€ | 15.30€ | 739 481 |
Apr 16, 2024 | 15.05€ | 15.25€ | 14.92€ | 15.23€ | 553 721 |
Apr 15, 2024 | 15.42€ | 15.50€ | 15.25€ | 15.25€ | 506 865 |
Apr 12, 2024 | 15.43€ | 15.59€ | 15.34€ | 15.39€ | 422 329 |
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 GET.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the GET.PA 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 GET.PA 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.