XLON:GOCO
Delisted
Gocompare.com Group Plc Stock Price (Quote)
£1.32
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.32 | £1.32 | Wednesday, 17th Aug 2022 GOCO.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 | £1.32 | £1.32 | |
52 weeks | £1.32 | £1.32 |
Date | Open | High | Low | Close | Volume |
Jan 18, 2017 | £79.25 | £79.75 | £78.00 | £79.25 | 1 516 297 |
Jan 17, 2017 | £79.50 | £79.50 | £78.00 | £78.75 | 939 238 |
Jan 16, 2017 | £81.75 | £82.00 | £78.75 | £79.00 | 914 643 |
Jan 13, 2017 | £80.00 | £81.00 | £78.75 | £80.50 | 2 451 759 |
Jan 12, 2017 | £79.75 | £82.00 | £78.00 | £80.00 | 1 364 521 |
Jan 11, 2017 | £77.00 | £80.25 | £75.50 | £80.00 | 1 883 144 |
Jan 10, 2017 | £70.00 | £76.00 | £70.00 | £76.00 | 2 315 930 |
Jan 09, 2017 | £67.75 | £68.50 | £67.50 | £67.75 | 833 828 |
Jan 06, 2017 | £67.75 | £70.00 | £67.75 | £67.75 | 490 095 |
Jan 05, 2017 | £69.25 | £70.00 | £68.75 | £69.00 | 498 800 |
Jan 04, 2017 | £70.00 | £70.00 | £67.00 | £68.00 | 230 585 |
Jan 03, 2017 | £70.00 | £71.00 | £68.50 | £70.00 | 148 932 |
Dec 30, 2016 | £71.00 | £71.00 | £71.00 | £71.00 | 0 |
Dec 29, 2016 | £73.00 | £73.00 | £71.50 | £71.50 | 630 438 |
Dec 28, 2016 | £70.00 | £73.25 | £70.00 | £71.75 | 212 452 |
Dec 23, 2016 | £70.00 | £70.00 | £70.00 | £70.00 | 0 |
Dec 22, 2016 | £71.00 | £72.00 | £69.25 | £71.00 | 649 746 |
Dec 21, 2016 | £68.00 | £70.75 | £67.00 | £70.50 | 863 524 |
Dec 20, 2016 | £70.50 | £70.50 | £67.75 | £68.00 | 955 105 |
Dec 19, 2016 | £72.00 | £72.00 | £69.50 | £70.00 | 852 363 |
Dec 16, 2016 | £70.50 | £71.75 | £67.75 | £71.75 | 2 097 810 |
Dec 15, 2016 | £68.00 | £69.75 | £68.00 | £69.25 | 450 446 |
Dec 14, 2016 | £70.00 | £70.00 | £67.50 | £69.25 | 506 508 |
Dec 13, 2016 | £69.75 | £70.25 | £67.50 | £69.00 | 596 664 |
Dec 12, 2016 | £68.00 | £71.00 | £67.25 | £71.00 | 1 257 413 |
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 GOCO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the GOCO.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 GOCO.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.