OSE:NOD
Nordic Semiconductor ASA Stock Price (Quote)
kr135.00
-1.05 (-0.772%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr111.10 | kr139.40 | Friday, 24th May 2024 NOD.OL stock ended at kr135.00. This is 0.772% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.86% from a day low at kr134.35 to a day high of kr136.85. |
90 days | kr76.96 | kr139.40 | |
52 weeks | kr76.96 | kr150.75 |
Date | Open | High | Low | Close | Volume |
Sep 08, 2023 | kr120.00 | kr121.40 | kr119.05 | kr120.50 | 475 158 |
Sep 07, 2023 | kr125.90 | kr125.90 | kr119.00 | kr119.00 | 738 335 |
Sep 06, 2023 | kr122.65 | kr128.25 | kr122.50 | kr126.95 | 485 012 |
Sep 05, 2023 | kr128.35 | kr129.50 | kr123.30 | kr123.30 | 471 843 |
Sep 04, 2023 | kr129.00 | kr130.90 | kr128.35 | kr128.35 | 321 193 |
Sep 01, 2023 | kr128.85 | kr130.80 | kr126.80 | kr129.25 | 248 509 |
Aug 31, 2023 | kr127.25 | kr130.20 | kr124.45 | kr130.15 | 281 306 |
Aug 30, 2023 | kr129.65 | kr131.95 | kr129.50 | kr130.45 | 315 349 |
Aug 29, 2023 | kr130.55 | kr132.00 | kr126.35 | kr128.90 | 392 001 |
Aug 28, 2023 | kr129.50 | kr130.60 | kr128.00 | kr130.40 | 179 030 |
Aug 25, 2023 | kr123.50 | kr129.30 | kr123.50 | kr128.65 | 387 364 |
Aug 24, 2023 | kr133.20 | kr134.05 | kr128.20 | kr128.30 | 403 543 |
Aug 23, 2023 | kr129.70 | kr129.70 | kr126.70 | kr129.00 | 257 832 |
Aug 22, 2023 | kr131.00 | kr132.50 | kr130.05 | kr130.05 | 281 607 |
Aug 21, 2023 | kr130.40 | kr132.00 | kr129.00 | kr129.00 | 862 071 |
Aug 18, 2023 | kr133.00 | kr134.20 | kr129.80 | kr131.00 | 486 790 |
Aug 17, 2023 | kr138.50 | kr139.70 | kr134.00 | kr134.00 | 573 202 |
Aug 16, 2023 | kr138.55 | kr140.95 | kr137.55 | kr140.55 | 144 838 |
Aug 15, 2023 | kr144.00 | kr145.00 | kr139.15 | kr139.65 | 339 661 |
Aug 14, 2023 | kr140.10 | kr143.60 | kr139.55 | kr143.35 | 308 305 |
Aug 11, 2023 | kr141.65 | kr142.25 | kr139.30 | kr140.95 | 283 690 |
Aug 10, 2023 | kr140.00 | kr143.95 | kr138.65 | kr143.40 | 190 899 |
Aug 09, 2023 | kr141.95 | kr145.25 | kr141.10 | kr141.45 | 201 662 |
Aug 08, 2023 | kr143.40 | kr143.70 | kr140.05 | kr140.15 | 274 880 |
Aug 07, 2023 | kr146.00 | kr146.00 | kr142.75 | kr143.55 | 226 425 |
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.