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 |
Jul 31, 2023 | kr149.15 | kr150.00 | kr146.80 | kr149.20 | 320 153 |
Jul 28, 2023 | kr147.60 | kr149.75 | kr146.45 | kr149.30 | 490 789 |
Jul 27, 2023 | kr146.50 | kr150.60 | kr144.40 | kr146.65 | 506 881 |
Jul 26, 2023 | kr144.40 | kr147.15 | kr142.20 | kr144.70 | 472 902 |
Jul 25, 2023 | kr146.05 | kr150.75 | kr144.40 | kr149.95 | 430 922 |
Jul 24, 2023 | kr141.35 | kr146.00 | kr141.05 | kr144.80 | 284 338 |
Jul 21, 2023 | kr141.80 | kr142.65 | kr140.00 | kr142.35 | 368 540 |
Jul 20, 2023 | kr140.75 | kr145.25 | kr139.20 | kr141.30 | 292 698 |
Jul 19, 2023 | kr142.00 | kr143.05 | kr139.70 | kr143.05 | 281 313 |
Jul 18, 2023 | kr138.95 | kr141.75 | kr138.20 | kr141.30 | 273 183 |
Jul 17, 2023 | kr141.65 | kr142.95 | kr137.65 | kr139.00 | 389 636 |
Jul 14, 2023 | kr146.80 | kr148.40 | kr141.95 | kr144.05 | 432 634 |
Jul 13, 2023 | kr138.90 | kr143.45 | kr138.20 | kr142.30 | 699 387 |
Jul 12, 2023 | kr129.65 | kr143.00 | kr129.05 | kr140.25 | 1 506 668 |
Jul 11, 2023 | kr117.50 | kr135.25 | kr115.80 | kr133.20 | 1 777 406 |
Jul 10, 2023 | kr122.45 | kr124.60 | kr122.45 | kr124.10 | 457 673 |
Jul 07, 2023 | kr120.00 | kr123.55 | kr120.00 | kr123.05 | 371 720 |
Jul 06, 2023 | kr122.75 | kr126.00 | kr120.95 | kr120.95 | 270 765 |
Jul 05, 2023 | kr125.10 | kr126.40 | kr123.65 | kr124.45 | 293 771 |
Jul 04, 2023 | kr126.30 | kr128.50 | kr125.35 | kr127.80 | 384 541 |
Jul 03, 2023 | kr130.80 | kr130.80 | kr125.25 | kr127.40 | 353 792 |
Jun 30, 2023 | kr128.50 | kr131.50 | kr128.15 | kr130.45 | 428 649 |
Jun 29, 2023 | kr126.30 | kr129.05 | kr123.45 | kr128.30 | 315 228 |
Jun 28, 2023 | kr119.70 | kr126.20 | kr119.70 | kr126.20 | 548 170 |
Jun 27, 2023 | kr121.50 | kr121.50 | kr117.60 | kr118.60 | 570 726 |
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.