XLON:NSF
Delisted
Non-Standard Finance Plc Stock Price (Quote)
£0.0600
+0.0100 (+20.00%)
At Close: Sep 02, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0500 | £0.0700 | Wednesday, 2nd Sep 2020 NSF.L stock ended at £0.0600. This is 20.00% more than the trading day before Tuesday, 1st Sep 2020. During the day the stock fluctuated 20.00% from a day low at £0.0500 to a day high of £0.0600. |
90 days | £0.0500 | £0.0700 | |
52 weeks | £0.0500 | £0.454 |
Date | Open | High | Low | Close | Volume |
Sep 02, 2019 | £0.362 | £0.362 | £0.362 | £0.362 | 0 |
Aug 30, 2019 | £0.360 | £0.400 | £0.355 | £0.370 | 61 939 153 |
Aug 29, 2019 | £0.378 | £0.382 | £0.360 | £0.360 | 151 977 |
Aug 28, 2019 | £0.376 | £0.384 | £0.375 | £0.380 | 268 930 |
Aug 27, 2019 | £0.370 | £0.374 | £0.362 | £0.370 | 62 825 |
Aug 26, 2019 | £0.362 | £0.362 | £0.362 | £0.362 | 0 |
Aug 23, 2019 | £0.359 | £0.365 | £0.359 | £0.362 | 61 750 |
Aug 22, 2019 | £0.366 | £0.366 | £0.360 | £0.364 | 126 878 |
Aug 21, 2019 | £0.354 | £0.368 | £0.349 | £0.367 | 136 818 |
Aug 20, 2019 | £0.339 | £0.350 | £0.336 | £0.349 | 237 863 |
Aug 19, 2019 | £0.333 | £0.338 | £0.332 | £0.336 | 191 856 |
Aug 16, 2019 | £0.330 | £0.332 | £0.328 | £0.330 | 51 107 |
Aug 15, 2019 | £0.331 | £0.333 | £0.329 | £0.330 | 118 591 |
Aug 14, 2019 | £0.329 | £0.332 | £0.325 | £0.331 | 95 990 |
Aug 13, 2019 | £0.325 | £0.334 | £0.322 | £0.325 | 129 405 |
Aug 12, 2019 | £0.342 | £0.343 | £0.321 | £0.332 | 82 874 |
Aug 09, 2019 | £0.345 | £0.352 | £0.343 | £0.347 | 60 834 |
Aug 08, 2019 | £0.351 | £0.353 | £0.345 | £0.351 | 162 967 |
Aug 07, 2019 | £0.360 | £0.360 | £0.352 | £0.356 | 108 192 |
Aug 06, 2019 | £0.363 | £0.363 | £0.356 | £0.358 | 20 106 |
Aug 05, 2019 | £0.358 | £0.363 | £0.354 | £0.358 | 1 455 |
Aug 02, 2019 | £0.367 | £0.373 | £0.359 | £0.362 | 46 656 |
Aug 01, 2019 | £0.371 | £0.382 | £0.370 | £0.371 | 6 704 |
Jul 31, 2019 | £0.393 | £0.393 | £0.373 | £0.379 | 96 052 |
Jul 30, 2019 | £0.385 | £0.393 | £0.385 | £0.390 | 47 389 |
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 NSF.L stock historical prices to predict future price movements?
Trend Analysis: Examine the NSF.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 NSF.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.