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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

Historical Nasstar prices

Date Open High Low Close Volume
Feb 04, 2019 £0.118 £0.118 £0.116 £0.118 167 729
Feb 01, 2019 £0.118 £0.120 £0.116 £0.118 3 722 629
Jan 31, 2019 £0.117 £0.117 £0.116 £0.117 142 143
Jan 30, 2019 £0.117 £0.116 £0.116 £0.117 14 599
Jan 29, 2019 £0.117 £0.117 £0.116 £0.117 1 335 356
Jan 28, 2019 £0.117 £0.117 £0.117 £0.117 0
Jan 25, 2019 £0.117 £0.116 £0.116 £0.117 4 680
Jan 24, 2019 £0.117 £0.115 £0.114 £0.117 80 000
Jan 23, 2019 £0.117 £0.116 £0.116 £0.117 140 000
Jan 22, 2019 £0.117 £0.117 £0.117 £0.117 0
Jan 21, 2019 £11.70 £11.70 £11.70 £11.70 30 000
Jan 18, 2019 £0.117 £0.117 £0.117 £0.117 3 583
Jan 17, 2019 £0.117 £0.116 £0.116 £0.117 495
Jan 16, 2019 £0.117 £0.116 £0.116 £0.117 36 762
Jan 15, 2019 £0.117 £0.116 £0.116 £0.117 39 099
Jan 14, 2019 £0.117 £0.116 £0.116 £0.117 28 964
Jan 11, 2019 £0.117 £0.116 £0.116 £0.117 20 001
Jan 10, 2019 £0.117 £0.116 £0.115 £0.117 77 711
Jan 09, 2019 £0.117 £0.117 £0.117 £0.117 0
Jan 08, 2019 £0.117 £0.116 £0.116 £0.117 15 000
Jan 07, 2019 £0.117 £0.117 £0.116 £0.117 8 468
Jan 04, 2019 £0.117 £0.117 £0.117 £0.117 42 842
Jan 03, 2019 £0.117 £0.117 £0.116 £0.117 9 549
Jan 02, 2019 £0.117 £0.116 £0.116 £0.117 7 454
Dec 31, 2018 £0.117 £0.117 £0.116 £0.117 7 622

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.

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.

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.

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.
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