OMXC:DANSKE
Danske Bank A/S Stock Price (Quote)
kr204.90
-0.90 (-0.437%)
At Close: Jun 18, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr198.85 | kr213.70 | Tuesday, 18th Jun 2024 DANSKE.CO stock ended at kr204.90. This is 0.437% less than the trading day before Monday, 17th Jun 2024. During the day the stock fluctuated 1.32% from a day low at kr204.90 to a day high of kr207.60. |
90 days | kr189.50 | kr213.70 | |
52 weeks | kr152.00 | kr213.70 |
Historical Danske Bank A/S prices
Date | Open | High | Low | Close | Volume |
Jan 19, 2024 | kr185.95 | kr186.30 | kr183.80 | kr183.80 | 556 865 |
Jan 18, 2024 | kr186.55 | kr186.80 | kr184.70 | kr184.95 | 1 012 674 |
Jan 17, 2024 | kr185.00 | kr186.45 | kr183.50 | kr186.10 | 1 232 749 |
Jan 16, 2024 | kr188.25 | kr188.25 | kr184.35 | kr187.40 | 1 169 128 |
Jan 15, 2024 | kr191.70 | kr192.20 | kr188.75 | kr189.55 | 650 028 |
Jan 12, 2024 | kr190.00 | kr192.45 | kr189.80 | kr191.00 | 1 447 156 |
Jan 11, 2024 | kr191.20 | kr192.65 | kr188.20 | kr188.35 | 1 455 553 |
Jan 10, 2024 | kr188.25 | kr191.00 | kr187.80 | kr190.60 | 1 126 019 |
Jan 09, 2024 | kr190.95 | kr191.40 | kr188.35 | kr189.25 | 965 984 |
Jan 08, 2024 | kr191.00 | kr191.50 | kr189.65 | kr190.95 | 662 943 |
Jan 05, 2024 | kr187.20 | kr190.90 | kr187.00 | kr190.45 | 788 794 |
Jan 04, 2024 | kr181.60 | kr188.45 | kr181.60 | kr188.15 | 1 454 255 |
Jan 03, 2024 | kr183.25 | kr183.80 | kr180.60 | kr181.60 | 820 214 |
Jan 02, 2024 | kr180.50 | kr183.20 | kr180.50 | kr182.60 | 1 196 873 |
Dec 29, 2023 | kr179.40 | kr180.40 | kr179.25 | kr180.40 | 816 588 |
Dec 28, 2023 | kr180.00 | kr180.60 | kr179.25 | kr179.45 | 626 280 |
Dec 27, 2023 | kr177.00 | kr180.00 | kr176.30 | kr180.00 | 1 164 439 |
Dec 22, 2023 | kr176.25 | kr177.45 | kr176.05 | kr177.15 | 607 501 |
Dec 21, 2023 | kr177.40 | kr177.40 | kr175.90 | kr176.25 | 644 929 |
Dec 20, 2023 | kr178.95 | kr180.10 | kr176.90 | kr177.70 | 1 243 405 |
Dec 19, 2023 | kr176.90 | kr179.25 | kr175.05 | kr178.85 | 1 391 365 |
Dec 18, 2023 | kr179.00 | kr179.75 | kr176.40 | kr177.00 | 1 376 322 |
Dec 15, 2023 | kr179.00 | kr181.10 | kr178.15 | kr179.70 | 2 264 558 |
Dec 14, 2023 | kr179.15 | kr179.85 | kr177.25 | kr178.05 | 1 467 391 |
Dec 13, 2023 | kr177.70 | kr179.20 | kr176.75 | kr178.30 | 1 048 874 |
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 DANSKE.CO stock historical prices to predict future price movements?
Trend Analysis: Examine the DANSKE.CO 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 DANSKE.CO 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.