OMXH:NDA-FI
Nordea Bank Abp Stock Price (Quote)
11.31€
-0.0500 (-0.440%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 10.40€ | 11.47€ | Wednesday, 15th May 2024 NDA-FI.HE stock ended at 11.31€. This is 0.440% less than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 1.02% from a day low at 11.30€ to a day high of 11.41€. |
90 days | 10.28€ | 11.54€ | |
52 weeks | 9.16€ | 11.75€ |
Date | Open | High | Low | Close | Volume |
May 17, 2023 | 9.53€ | 9.65€ | 9.53€ | 9.57€ | 3 391 197 |
May 16, 2023 | 9.63€ | 9.70€ | 9.57€ | 9.61€ | 3 391 694 |
May 15, 2023 | 9.53€ | 9.64€ | 9.46€ | 9.64€ | 3 513 731 |
May 12, 2023 | 9.53€ | 9.63€ | 9.46€ | 9.49€ | 4 684 737 |
May 11, 2023 | 9.46€ | 9.60€ | 9.40€ | 9.48€ | 5 086 415 |
May 10, 2023 | 9.55€ | 9.67€ | 9.35€ | 9.41€ | 5 146 312 |
May 09, 2023 | 9.77€ | 9.78€ | 9.52€ | 9.55€ | 4 997 589 |
May 08, 2023 | 9.76€ | 9.84€ | 9.72€ | 9.79€ | 3 839 557 |
May 05, 2023 | 9.66€ | 9.76€ | 9.62€ | 9.75€ | 4 228 269 |
May 04, 2023 | 9.60€ | 9.70€ | 9.55€ | 9.60€ | 5 191 093 |
May 03, 2023 | 9.80€ | 9.83€ | 9.69€ | 9.69€ | 6 070 819 |
May 02, 2023 | 10.08€ | 10.15€ | 9.80€ | 9.80€ | 6 185 487 |
Apr 28, 2023 | 10.18€ | 10.25€ | 9.94€ | 10.05€ | 6 474 291 |
Apr 27, 2023 | 10.34€ | 10.42€ | 10.11€ | 10.14€ | 6 681 218 |
Apr 26, 2023 | 10.32€ | 10.46€ | 10.11€ | 10.32€ | 7 129 447 |
Apr 25, 2023 | 10.43€ | 10.46€ | 10.28€ | 10.31€ | 4 023 308 |
Apr 24, 2023 | 10.40€ | 10.50€ | 10.36€ | 10.47€ | 2 352 885 |
Apr 21, 2023 | 10.46€ | 10.47€ | 10.33€ | 10.41€ | 4 138 097 |
Apr 20, 2023 | 10.49€ | 10.56€ | 10.40€ | 10.45€ | 4 138 487 |
Apr 19, 2023 | 10.40€ | 10.44€ | 10.29€ | 10.41€ | 3 458 784 |
Apr 18, 2023 | 10.28€ | 10.42€ | 10.26€ | 10.38€ | 4 742 557 |
Apr 17, 2023 | 10.41€ | 10.44€ | 10.16€ | 10.21€ | 4 765 453 |
Apr 14, 2023 | 10.07€ | 10.39€ | 10.05€ | 10.38€ | 6 157 740 |
Apr 13, 2023 | 10.00€ | 10.08€ | 9.97€ | 10.08€ | 3 173 566 |
Apr 12, 2023 | 10.04€ | 10.10€ | 9.91€ | 10.00€ | 3 972 551 |
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 NDA-FI.HE stock historical prices to predict future price movements?
Trend Analysis: Examine the NDA-FI.HE 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 NDA-FI.HE 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.