XLON:GDP
Delisted
Goodrich Petroleum Corp Stock Price (Quote)
£9.13
+0 (+0%)
At Close: Jun 08, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £9.13 | £9.13 | Thursday, 8th Jun 2023 GDP.L stock ended at £9.13. During the day the stock fluctuated 0% from a day low at £9.13 to a day high of £9.13. |
90 days | £9.02 | £9.13 | |
52 weeks | £0.0893 | £12.80 |
Date | Open | High | Low | Close | Volume |
Oct 25, 2022 | £10.35 | £10.35 | £10.20 | £10.35 | 73 287 |
Oct 24, 2022 | £10.35 | £10.50 | £10.20 | £10.35 | 365 770 |
Oct 21, 2022 | £10.25 | £10.35 | £10.00 | £10.35 | 38 637 |
Oct 20, 2022 | £10.25 | £10.34 | £10.13 | £10.25 | 16 485 |
Oct 19, 2022 | £9.83 | £10.42 | £9.75 | £10.25 | 412 480 |
Oct 18, 2022 | £9.65 | £9.89 | £9.58 | £9.83 | 126 895 |
Oct 17, 2022 | £9.65 | £9.65 | £9.50 | £9.65 | 2 000 |
Oct 14, 2022 | £9.45 | £9.74 | £9.16 | £9.65 | 463 457 |
Oct 13, 2022 | £10.25 | £10.25 | £9.13 | £9.45 | 923 723 |
Oct 12, 2022 | £10.05 | £10.50 | £9.93 | £10.30 | 193 091 |
Oct 11, 2022 | £9.95 | £10.25 | £9.60 | £10.05 | 214 148 |
Oct 10, 2022 | £10.30 | £10.40 | £9.81 | £9.95 | 321 629 |
Oct 07, 2022 | £10.30 | £10.42 | £10.15 | £10.30 | 210 701 |
Oct 06, 2022 | £10.15 | £10.60 | £10.00 | £10.30 | 691 350 |
Oct 05, 2022 | £10.15 | £10.25 | £9.94 | £10.15 | 105 523 |
Oct 04, 2022 | £10.30 | £10.30 | £9.80 | £10.15 | 859 847 |
Oct 03, 2022 | £10.25 | £10.57 | £9.70 | £10.00 | 804 366 |
Sep 30, 2022 | £10.40 | £10.48 | £10.00 | £10.05 | 348 420 |
Sep 29, 2022 | £10.40 | £10.80 | £10.25 | £10.40 | 282 393 |
Sep 28, 2022 | £10.05 | £10.57 | £9.40 | £10.40 | 819 875 |
Sep 27, 2022 | £10.11 | £10.11 | £10.00 | £10.05 | 146 402 |
Sep 26, 2022 | £10.15 | £10.15 | £9.84 | £10.15 | 370 760 |
Sep 23, 2022 | £10.60 | £10.70 | £10.10 | £10.25 | 356 182 |
Sep 22, 2022 | £10.35 | £10.75 | £10.30 | £10.60 | 725 939 |
Sep 21, 2022 | £10.20 | £10.70 | £10.20 | £10.35 | 541 677 |
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 GDP.L stock historical prices to predict future price movements?
Trend Analysis: Examine the GDP.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 GDP.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.