OSE:NOD
Nordic Semiconductor ASA Stock Price (Quote)
kr134.50
+4.00 (+3.07%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr120.20 | kr139.40 | Friday, 31st May 2024 NOD.OL stock ended at kr134.50. This is 3.07% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 5.15% from a day low at kr129.15 to a day high of kr135.80. |
90 days | kr76.96 | kr139.40 | |
52 weeks | kr76.96 | kr150.75 |
Historical Nordic Semiconductor ASA prices
Date | Open | High | Low | Close | Volume |
Apr 21, 2023 | kr119.95 | kr120.40 | kr113.90 | kr115.50 | 3 232 252 |
Apr 20, 2023 | kr127.00 | kr129.00 | kr118.05 | kr121.40 | 5 258 993 |
Apr 19, 2023 | kr151.05 | kr151.50 | kr146.50 | kr147.40 | 816 877 |
Apr 18, 2023 | kr150.80 | kr154.40 | kr149.70 | kr152.55 | 462 221 |
Apr 17, 2023 | kr150.00 | kr151.50 | kr147.40 | kr150.95 | 386 366 |
Apr 14, 2023 | kr151.35 | kr153.00 | kr149.60 | kr152.55 | 542 134 |
Apr 13, 2023 | kr145.30 | kr150.35 | kr144.90 | kr150.05 | 637 930 |
Apr 12, 2023 | kr143.50 | kr147.50 | kr142.25 | kr145.80 | 1 157 099 |
Apr 11, 2023 | kr150.95 | kr150.95 | kr142.15 | kr144.45 | 1 579 972 |
Apr 05, 2023 | kr158.20 | kr158.20 | kr151.35 | kr151.35 | 401 101 |
Apr 04, 2023 | kr160.00 | kr160.45 | kr157.05 | kr159.05 | 206 316 |
Apr 03, 2023 | kr160.50 | kr161.50 | kr158.40 | kr159.45 | 141 153 |
Mar 31, 2023 | kr164.35 | kr165.00 | kr158.10 | kr159.15 | 662 860 |
Mar 30, 2023 | kr159.00 | kr164.85 | kr158.90 | kr163.50 | 280 975 |
Mar 29, 2023 | kr155.90 | kr158.45 | kr154.05 | kr157.20 | 395 015 |
Mar 28, 2023 | kr163.65 | kr163.65 | kr151.75 | kr154.70 | 339 259 |
Mar 27, 2023 | kr159.80 | kr164.10 | kr157.05 | kr163.55 | 287 460 |
Mar 24, 2023 | kr161.25 | kr163.05 | kr156.45 | kr156.45 | 516 510 |
Mar 23, 2023 | kr159.80 | kr163.50 | kr157.80 | kr162.85 | 239 170 |
Mar 22, 2023 | kr160.80 | kr161.20 | kr156.45 | kr158.80 | 361 500 |
Mar 21, 2023 | kr161.05 | kr162.40 | kr159.20 | kr160.05 | 216 370 |
Mar 20, 2023 | kr158.60 | kr162.40 | kr155.75 | kr160.90 | 353 563 |
Mar 17, 2023 | kr162.35 | kr167.30 | kr161.35 | kr161.45 | 819 861 |
Mar 16, 2023 | kr156.80 | kr159.90 | kr154.50 | kr158.10 | 252 355 |
Mar 15, 2023 | kr164.00 | kr164.00 | kr154.05 | kr155.15 | 775 895 |
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.