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 |
May 30, 2019 | £1.30 | £1.30 | £1.24 | £1.30 | 306 686 |
May 29, 2019 | £1.31 | £1.31 | £1.25 | £1.28 | 585 112 |
May 28, 2019 | £1.33 | £1.33 | £1.30 | £1.32 | 166 095 |
May 24, 2019 | £1.34 | £1.34 | £1.31 | £1.32 | 150 112 |
May 23, 2019 | £1.37 | £1.37 | £1.32 | £1.34 | 777 507 |
May 22, 2019 | £1.43 | £1.43 | £1.36 | £1.38 | 320 797 |
May 21, 2019 | £1.41 | £1.42 | £1.34 | £1.42 | 6 000 |
May 20, 2019 | £1.40 | £1.43 | £1.33 | £1.41 | 27 491 |
May 17, 2019 | £1.48 | £1.50 | £1.41 | £1.45 | 90 735 |
May 16, 2019 | £1.48 | £1.48 | £1.41 | £1.47 | 227 118 |
May 15, 2019 | £1.50 | £1.52 | £1.43 | £1.49 | 282 747 |
May 14, 2019 | £1.45 | £1.50 | £1.38 | £1.50 | 95 549 |
May 13, 2019 | £1.42 | £1.44 | £1.38 | £1.44 | 132 759 |
May 10, 2019 | £1.42 | £1.42 | £1.38 | £1.40 | 582 777 |
May 09, 2019 | £1.45 | £1.45 | £1.38 | £1.41 | 287 450 |
May 08, 2019 | £1.48 | £1.49 | £1.41 | £1.45 | 528 150 |
May 07, 2019 | £1.55 | £1.55 | £1.51 | £1.51 | 145 948 |
May 03, 2019 | £1.59 | £1.59 | £1.55 | £1.59 | 226 745 |
May 02, 2019 | £1.59 | £1.59 | £1.51 | £1.59 | 1 064 612 |
May 01, 2019 | £1.61 | £1.61 | £1.61 | £1.61 | 0 |
Apr 30, 2019 | £1.61 | £1.61 | £1.53 | £1.61 | 135 000 |
Apr 29, 2019 | £1.63 | £1.63 | £1.55 | £1.62 | 469 616 |
Apr 26, 2019 | £1.65 | £1.65 | £1.57 | £1.64 | 216 205 |
Apr 25, 2019 | £1.68 | £1.68 | £1.60 | £1.65 | 730 228 |
Apr 24, 2019 | £1.68 | £1.68 | £1.60 | £1.68 | 537 189 |
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.