XLON:NANO
Nanometrics Inc Stock Price (Quote)
£17.75
+0.140 (+0.795%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £17.02 | £21.00 | Friday, 24th May 2024 NANO.L stock ended at £17.75. This is 0.795% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 5.94% from a day low at £17.08 to a day high of £18.10. |
90 days | £17.02 | £24.00 | |
52 weeks | £15.19 | £24.00 |
Date | Open | High | Low | Close | Volume |
Oct 19, 2023 | £16.04 | £16.78 | £16.04 | £16.52 | 175 455 |
Oct 18, 2023 | £16.74 | £16.98 | £16.04 | £16.52 | 1 000 473 |
Oct 17, 2023 | £16.60 | £17.40 | £16.32 | £16.70 | 1 007 106 |
Oct 16, 2023 | £16.30 | £16.68 | £16.00 | £16.50 | 238 400 |
Oct 13, 2023 | £16.00 | £16.38 | £15.84 | £16.01 | 510 863 |
Oct 12, 2023 | £16.48 | £16.48 | £15.72 | £16.04 | 355 043 |
Oct 11, 2023 | £15.92 | £16.40 | £15.92 | £16.21 | 371 087 |
Oct 10, 2023 | £15.70 | £16.48 | £15.70 | £16.17 | 581 648 |
Oct 09, 2023 | £16.00 | £16.48 | £16.00 | £16.18 | 195 131 |
Oct 06, 2023 | £16.20 | £16.57 | £15.85 | £15.85 | 185 477 |
Oct 05, 2023 | £16.39 | £16.39 | £16.39 | £16.39 | 0 |
Oct 04, 2023 | £16.00 | £17.04 | £15.60 | £16.39 | 457 886 |
Oct 03, 2023 | £16.00 | £17.18 | £16.00 | £16.60 | 307 749 |
Oct 02, 2023 | £16.62 | £16.62 | £16.62 | £16.62 | 0 |
Sep 29, 2023 | £17.38 | £17.38 | £16.54 | £16.62 | 162 673 |
Sep 28, 2023 | £16.88 | £17.27 | £16.50 | £17.16 | 181 159 |
Sep 27, 2023 | £17.23 | £17.38 | £16.76 | £17.10 | 229 996 |
Sep 26, 2023 | £16.83 | £17.27 | £16.74 | £16.74 | 112 735 |
Sep 25, 2023 | £17.05 | £17.48 | £16.98 | £17.17 | 91 049 |
Sep 22, 2023 | £17.00 | £17.45 | £17.00 | £17.24 | 223 864 |
Sep 21, 2023 | £17.26 | £17.96 | £16.75 | £17.21 | 111 079 |
Sep 20, 2023 | £17.50 | £17.98 | £17.05 | £17.28 | 105 427 |
Sep 19, 2023 | £18.00 | £18.00 | £17.01 | £18.00 | 112 652 |
Sep 18, 2023 | £17.44 | £17.98 | £17.00 | £17.24 | 102 247 |
Sep 15, 2023 | £17.01 | £17.98 | £17.00 | £17.00 | 248 443 |
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 NANO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the NANO.L 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 NANO.L 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.