XLON:NASA
Delisted
Nasstar Stock Price (Quote)
£0.128
+0 (+0%)
At Close: Jan 27, 2020
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | £0.126 | £0.130 | Monday, 27th Jan 2020 NASA.L stock ended at £0.128. During the day the stock fluctuated 0% from a day low at £0.128 to a day high of £0.128. |
| 90 days | £0.109 | £0.130 | |
| 52 weeks | £0.105 | £11.80 |
| Date | Open | High | Low | Close | Volume |
| Nov 13, 2019 | £0.116 | £0.113 | £0.113 | £0.116 | 2 115 |
| Nov 12, 2019 | £0.116 | £0.118 | £0.114 | £0.116 | 1 720 114 |
| Nov 11, 2019 | £0.116 | £0.118 | £0.115 | £0.116 | 6 465 |
| Nov 08, 2019 | £0.116 | £0.115 | £0.115 | £0.116 | 98 |
| Nov 07, 2019 | £0.114 | £0.116 | £0.116 | £0.116 | 50 000 |
| Nov 06, 2019 | £0.113 | £0.115 | £0.113 | £0.114 | 22 878 |
| Nov 05, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 0 |
| Nov 04, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 22 334 |
| Nov 01, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 96 878 |
| Oct 31, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 300 000 |
| Oct 30, 2019 | £0.113 | £0.114 | £0.113 | £0.113 | 18 566 |
| Oct 29, 2019 | £0.113 | £0.115 | £0.113 | £0.113 | 60 922 |
| Oct 28, 2019 | £0.113 | £0.112 | £0.112 | £0.113 | 12 829 |
| Oct 25, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 0 |
| Oct 24, 2019 | £0.113 | £0.114 | £0.111 | £0.113 | 162 170 |
| Oct 23, 2019 | £0.113 | £0.114 | £0.113 | £0.113 | 297 633 |
| Oct 22, 2019 | £0.113 | £0.114 | £0.113 | £0.113 | 252 784 |
| Oct 21, 2019 | £0.113 | £0.113 | £0.111 | £0.113 | 859 583 |
| Oct 18, 2019 | £0.113 | £0.113 | £0.113 | £0.113 | 0 |
| Oct 17, 2019 | £0.113 | £0.111 | £0.111 | £0.113 | 1 500 |
| Oct 16, 2019 | £0.111 | £0.115 | £0.111 | £0.113 | 79 538 |
| Oct 15, 2019 | £0.108 | £0.115 | £0.110 | £0.109 | 90 949 |
| Oct 14, 2019 | £0.108 | £0.110 | £0.106 | £0.108 | 535 479 |
| Oct 11, 2019 | £0.107 | £0.110 | £0.105 | £0.108 | 356 177 |
| Oct 10, 2019 | £0.109 | £0.110 | £0.107 | £0.107 | 58 739 |
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 NASA.L stock historical prices to predict future price movements?
Trend Analysis: Examine the NASA.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 NASA.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.
