OSE:NANOV
Delisted
Nordic Nanovector ASA Stock Price (Quote)
kr1.94
+0 (+0%)
At Close: Dec 05, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr1.94 | kr1.94 | Tuesday, 5th Dec 2023 NANOV.OL stock ended at kr1.94. During the day the stock fluctuated 0% from a day low at kr1.94 to a day high of kr1.94. |
90 days | kr1.15 | kr1.94 | |
52 weeks | kr0.652 | kr3.02 |
Historical Nordic Nanovector ASA prices
Date | Open | High | Low | Close | Volume |
Feb 25, 2022 | kr13.70 | kr13.95 | kr13.15 | kr13.50 | 575 672 |
Feb 24, 2022 | kr12.03 | kr13.49 | kr11.59 | kr13.39 | 1 251 591 |
Feb 23, 2022 | kr12.50 | kr12.89 | kr12.44 | kr12.47 | 196 355 |
Feb 22, 2022 | kr12.19 | kr12.81 | kr11.80 | kr12.63 | 617 813 |
Feb 21, 2022 | kr13.04 | kr13.18 | kr12.18 | kr12.23 | 626 337 |
Feb 18, 2022 | kr13.40 | kr13.47 | kr12.89 | kr12.95 | 785 920 |
Feb 17, 2022 | kr13.46 | kr13.46 | kr13.00 | kr13.23 | 282 528 |
Feb 16, 2022 | kr13.75 | kr13.75 | kr13.09 | kr13.15 | 409 990 |
Feb 15, 2022 | kr13.20 | kr13.20 | kr12.85 | kr13.08 | 324 458 |
Feb 14, 2022 | kr13.70 | kr13.72 | kr12.83 | kr12.95 | 891 165 |
Feb 11, 2022 | kr13.85 | kr13.90 | kr13.64 | kr13.72 | 449 419 |
Feb 10, 2022 | kr14.19 | kr14.20 | kr13.68 | kr13.85 | 378 936 |
Feb 09, 2022 | kr14.00 | kr14.19 | kr13.83 | kr14.01 | 236 576 |
Feb 08, 2022 | kr13.94 | kr14.14 | kr13.56 | kr13.71 | 403 583 |
Feb 07, 2022 | kr13.75 | kr13.80 | kr13.54 | kr13.80 | 253 936 |
Feb 04, 2022 | kr13.70 | kr13.92 | kr13.33 | kr13.74 | 414 923 |
Feb 03, 2022 | kr13.99 | kr13.99 | kr13.36 | kr13.46 | 651 687 |
Feb 02, 2022 | kr14.10 | kr14.46 | kr13.86 | kr14.06 | 1 039 538 |
Feb 01, 2022 | kr13.80 | kr14.20 | kr13.65 | kr14.03 | 810 543 |
Jan 31, 2022 | kr13.87 | kr13.95 | kr13.40 | kr13.55 | 618 290 |
Jan 28, 2022 | kr13.88 | kr13.88 | kr13.13 | kr13.42 | 660 793 |
Jan 27, 2022 | kr13.10 | kr13.90 | kr13.03 | kr13.77 | 833 524 |
Jan 26, 2022 | kr13.64 | kr13.64 | kr13.00 | kr13.16 | 598 199 |
Jan 25, 2022 | kr13.26 | kr13.69 | kr12.95 | kr13.27 | 1 287 570 |
Jan 24, 2022 | kr13.90 | kr13.90 | kr12.72 | kr12.91 | 1 469 226 |
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 NANOV.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the NANOV.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 NANOV.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.