OSE:NOD
Nordic Semiconductor ASA Stock Price (Quote)
kr132.95
-0.0500 (-0.0376%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr85.66 | kr135.45 | Thursday, 16th May 2024 NOD.OL stock ended at kr132.95. This is 0.0376% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.88% from a day low at kr132.95 to a day high of kr135.45. |
90 days | kr76.96 | kr135.45 | |
52 weeks | kr76.96 | kr150.75 |
Date | Open | High | Low | Close | Volume |
Feb 03, 2022 | kr263.00 | kr271.80 | kr255.80 | kr256.60 | 1 088 888 |
Feb 02, 2022 | kr272.20 | kr273.60 | kr267.00 | kr270.40 | 685 527 |
Feb 01, 2022 | kr265.00 | kr272.00 | kr264.40 | kr266.00 | 844 784 |
Jan 31, 2022 | kr251.00 | kr260.40 | kr250.00 | kr260.00 | 692 498 |
Jan 28, 2022 | kr252.00 | kr253.60 | kr239.60 | kr243.40 | 849 200 |
Jan 27, 2022 | kr243.00 | kr257.00 | kr242.00 | kr251.80 | 760 547 |
Jan 26, 2022 | kr244.20 | kr253.00 | kr239.40 | kr251.00 | 730 209 |
Jan 25, 2022 | kr246.80 | kr253.00 | kr238.00 | kr241.20 | 994 735 |
Jan 24, 2022 | kr259.40 | kr264.20 | kr241.60 | kr242.80 | 1 160 627 |
Jan 21, 2022 | kr259.00 | kr266.40 | kr257.20 | kr260.20 | 981 514 |
Jan 20, 2022 | kr269.20 | kr275.40 | kr262.40 | kr267.40 | 708 501 |
Jan 19, 2022 | kr261.80 | kr276.80 | kr256.60 | kr273.40 | 1 000 107 |
Jan 18, 2022 | kr280.00 | kr280.00 | kr265.60 | kr267.00 | 654 729 |
Jan 17, 2022 | kr276.00 | kr284.20 | kr268.20 | kr278.60 | 896 249 |
Jan 14, 2022 | kr284.80 | kr286.00 | kr266.20 | kr269.00 | 1 204 457 |
Jan 13, 2022 | kr273.40 | kr281.80 | kr271.60 | kr277.60 | 633 236 |
Jan 12, 2022 | kr272.00 | kr276.80 | kr267.00 | kr274.20 | 599 138 |
Jan 11, 2022 | kr264.80 | kr271.20 | kr261.60 | kr265.80 | 511 404 |
Jan 10, 2022 | kr279.20 | kr279.40 | kr258.20 | kr258.20 | 876 992 |
Jan 07, 2022 | kr279.00 | kr284.20 | kr275.60 | kr276.20 | 563 398 |
Jan 06, 2022 | kr276.40 | kr284.60 | kr270.20 | kr273.40 | 1 000 521 |
Jan 05, 2022 | kr286.60 | kr288.60 | kr281.20 | kr287.40 | 470 592 |
Jan 04, 2022 | kr297.80 | kr300.00 | kr283.40 | kr287.20 | 475 645 |
Jan 03, 2022 | kr296.40 | kr305.00 | kr293.00 | kr296.20 | 342 212 |
Dec 30, 2021 | kr291.80 | kr299.00 | kr291.60 | kr297.60 | 309 563 |
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 NOD.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the NOD.OL 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 NOD.OL 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.