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 |
Nov 03, 2022 | kr1.33 | kr1.54 | kr1.33 | kr1.48 | 3 453 992 |
Nov 02, 2022 | kr1.35 | kr1.40 | kr1.33 | kr1.34 | 1 233 700 |
Nov 01, 2022 | kr1.31 | kr1.38 | kr1.31 | kr1.32 | 1 355 998 |
Oct 31, 2022 | kr1.25 | kr1.34 | kr1.24 | kr1.29 | 2 525 779 |
Oct 28, 2022 | kr1.23 | kr1.25 | kr1.21 | kr1.22 | 928 803 |
Oct 27, 2022 | kr1.30 | kr1.30 | kr1.22 | kr1.23 | 747 990 |
Oct 26, 2022 | kr1.30 | kr1.30 | kr1.24 | kr1.26 | 520 832 |
Oct 25, 2022 | kr1.24 | kr1.30 | kr1.21 | kr1.21 | 293 438 |
Oct 24, 2022 | kr1.26 | kr1.27 | kr1.23 | kr1.26 | 228 424 |
Oct 21, 2022 | kr1.33 | kr1.33 | kr1.25 | kr1.27 | 564 755 |
Oct 20, 2022 | kr1.39 | kr1.39 | kr1.26 | kr1.30 | 926 951 |
Oct 19, 2022 | kr1.30 | kr1.30 | kr1.25 | kr1.26 | 282 985 |
Oct 18, 2022 | kr1.38 | kr1.50 | kr1.28 | kr1.28 | 2 259 172 |
Oct 17, 2022 | kr1.22 | kr1.60 | kr1.22 | kr1.38 | 4 124 642 |
Oct 14, 2022 | kr1.15 | kr1.22 | kr1.15 | kr1.17 | 619 366 |
Oct 13, 2022 | kr1.16 | kr1.18 | kr1.11 | kr1.16 | 744 985 |
Oct 12, 2022 | kr1.14 | kr1.18 | kr1.13 | kr1.16 | 438 888 |
Oct 11, 2022 | kr1.23 | kr1.23 | kr1.12 | kr1.16 | 603 390 |
Oct 10, 2022 | kr1.12 | kr1.24 | kr1.12 | kr1.23 | 671 980 |
Oct 07, 2022 | kr1.19 | kr1.23 | kr1.17 | kr1.20 | 616 773 |
Oct 06, 2022 | kr1.20 | kr1.20 | kr1.15 | kr1.18 | 267 065 |
Oct 05, 2022 | kr1.20 | kr1.20 | kr1.15 | kr1.15 | 395 455 |
Oct 04, 2022 | kr1.14 | kr1.21 | kr1.14 | kr1.18 | 365 087 |
Oct 03, 2022 | kr1.12 | kr1.26 | kr1.06 | kr1.14 | 350 153 |
Sep 30, 2022 | kr1.08 | kr1.13 | kr1.08 | kr1.13 | 611 517 |
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.