XLON:0G4P
Delisted
Saras Raffinerie Sarde SPA Stock Price (Quote)
£1.32
+0 (+0%)
At Close: Aug 08, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.32 | £1.32 | Thursday, 8th Aug 2019 0G4P.L stock ended at £1.32. During the day the stock fluctuated 0% from a day low at £1.32 to a day high of £1.32. |
90 days | £1.18 | £1.52 | |
52 weeks | £1.18 | £2.26 |
Date | Open | High | Low | Close | Volume |
Jan 04, 2019 | £1.76 | £1.76 | £1.67 | £1.76 | 312 250 |
Jan 03, 2019 | £1.72 | £1.74 | £1.68 | £1.74 | 181 541 |
Jan 02, 2019 | £1.68 | £1.72 | £1.60 | £1.72 | 127 914 |
Dec 31, 2018 | £1.69 | £1.69 | £1.69 | £1.69 | 0 |
Dec 28, 2018 | £1.66 | £1.70 | £1.62 | £1.69 | 290 166 |
Dec 27, 2018 | £1.76 | £1.76 | £1.67 | £1.69 | 273 874 |
Dec 26, 2018 | £1.72 | £1.72 | £1.72 | £1.72 | 0 |
Dec 24, 2018 | £1.73 | £1.73 | £1.73 | £1.72 | 0 |
Dec 21, 2018 | £1.74 | £1.75 | £1.70 | £1.72 | 90 681 |
Dec 20, 2018 | £1.73 | £1.74 | £1.64 | £1.74 | 143 410 |
Dec 19, 2018 | £1.69 | £1.75 | £1.65 | £1.75 | 231 487 |
Dec 18, 2018 | £1.67 | £1.69 | £1.59 | £1.69 | 129 080 |
Dec 17, 2018 | £1.76 | £1.76 | £1.71 | £1.71 | 58 434 |
Dec 14, 2018 | £1.76 | £1.76 | £1.67 | £1.76 | 8 000 |
Dec 13, 2018 | £1.74 | £1.79 | £1.70 | £1.76 | 94 903 |
Dec 12, 2018 | £1.75 | £1.77 | £1.70 | £1.73 | 372 207 |
Dec 11, 2018 | £1.73 | £1.78 | £1.64 | £1.74 | 300 987 |
Dec 10, 2018 | £1.70 | £1.71 | £1.61 | £1.71 | 346 342 |
Dec 07, 2018 | £1.70 | £1.73 | £1.62 | £1.71 | 334 172 |
Dec 06, 2018 | £1.68 | £1.69 | £1.60 | £1.69 | 41 000 |
Dec 05, 2018 | £1.71 | £1.73 | £1.67 | £1.70 | 75 237 |
Dec 04, 2018 | £1.73 | £1.75 | £1.64 | £1.70 | 266 695 |
Dec 03, 2018 | £1.73 | £1.73 | £1.69 | £1.73 | 229 595 |
Nov 30, 2018 | £1.72 | £1.74 | £1.68 | £1.71 | 501 319 |
Nov 29, 2018 | £1.71 | £1.73 | £1.62 | £1.73 | 732 361 |
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 0G4P.L stock historical prices to predict future price movements?
Trend Analysis: Examine the 0G4P.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 0G4P.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.