XLON:0FS8
Delisted
REC Silicon ASA Stock Price (Quote)
£0.666
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.666 | £0.666 | Thursday, 8th Aug 2019 0FS8.L stock ended at £0.666. During the day the stock fluctuated 0% from a day low at £0.666 to a day high of £0.666. |
90 days | £0.666 | £0.666 | |
52 weeks | £0.502 | £0.89 |
Date | Open | High | Low | Close | Volume |
Nov 02, 2017 | £1.10 | £1.10 | £1.10 | £1.10 | 256 591 |
Nov 01, 2017 | £1.10 | £1.10 | £1.10 | £1.10 | 3 319 110 |
Oct 31, 2017 | £1.07 | £1.07 | £1.07 | £1.07 | 851 956 |
Oct 30, 2017 | £1.05 | £1.05 | £1.05 | £1.05 | 2 017 097 |
Oct 27, 2017 | £1.05 | £1.05 | £1.05 | £1.05 | 752 506 |
Oct 26, 2017 | £1.04 | £1.04 | £1.04 | £1.04 | 248 538 |
Oct 25, 2017 | £1.04 | £1.04 | £1.04 | £1.04 | 2 581 039 |
Oct 24, 2017 | £1.03 | £1.03 | £1.03 | £1.03 | 1 910 563 |
Oct 23, 2017 | £1.08 | £1.08 | £1.08 | £1.08 | 1 034 392 |
Oct 20, 2017 | £1.00 | £1.00 | £1.00 | £1.00 | 1 483 907 |
Oct 19, 2017 | £0.99 | £0.99 | £0.99 | £0.99 | 695 712 |
Oct 18, 2017 | £0.98 | £0.98 | £0.98 | £0.98 | 931 053 |
Oct 17, 2017 | £0.96 | £0.96 | £0.96 | £0.96 | 787 132 |
Oct 16, 2017 | £0.95 | £0.95 | £0.95 | £0.95 | 941 546 |
Oct 13, 2017 | £0.94 | £0.94 | £0.94 | £0.94 | 225 328 |
Oct 12, 2017 | £0.94 | £0.94 | £0.94 | £0.94 | 4 763 327 |
Oct 11, 2017 | £0.94 | £0.94 | £0.94 | £0.94 | 5 573 664 |
Oct 10, 2017 | £0.95 | £0.95 | £0.95 | £0.95 | 969 137 |
Oct 09, 2017 | £0.98 | £0.98 | £0.98 | £0.98 | 0 |
Oct 06, 2017 | £0.98 | £0.98 | £0.98 | £0.98 | 2 163 321 |
Oct 05, 2017 | £1.00 | £1.00 | £1.00 | £1.00 | 94 962 |
Oct 04, 2017 | £1.00 | £1.00 | £1.00 | £1.00 | 542 230 |
Oct 03, 2017 | £1.00 | £1.00 | £1.00 | £1.00 | 1 726 816 |
Oct 02, 2017 | £1.01 | £1.01 | £1.01 | £1.01 | 153 596 |
Sep 29, 2017 | £1.01 | £1.01 | £1.01 | £1.01 | 94 322 |
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 0FS8.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0FS8.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 0FS8.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.