2.05p
-0.150 (-6.82%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 1.90p | 3.00p | Monday, 10th Aug 2026 GSCU.L stock ended at 2.05p. This is 6.82% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 15.79% from a day low at 1.90p to a day high of 2.20p. |
| 90 days | 1.90p | 3.40p | |
| 52 weeks | 1.72p | 4.20p |
Historical Great Southern Copper Plc prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | 1.90p | 2.20p | 1.90p | 2.05p | 2 642 540 |
| Aug 07, 2026 | 1.92p | 2.20p | 1.92p | 2.20p | 1 278 869 |
| Aug 06, 2026 | 2.07p | 2.20p | 1.92p | 2.05p | 910 436 |
| Aug 05, 2026 | 2.11p | 2.20p | 2.00p | 2.10p | 2 140 839 |
| Aug 04, 2026 | 2.13p | 2.40p | 2.00p | 2.20p | 510 138 |
| Aug 03, 2026 | 2.23p | 2.30p | 2.00p | 2.20p | 406 965 |
| Jul 31, 2026 | 2.00p | 2.30p | 2.00p | 2.18p | 168 358 |
| Jul 30, 2026 | 2.20p | 2.30p | 2.00p | 2.10p | 409 693 |
| Jul 29, 2026 | 2.07p | 2.27p | 2.00p | 2.10p | 0 |
| Jul 28, 2026 | 2.29p | 2.40p | 2.10p | 2.20p | 980 506 |
| Jul 27, 2026 | 2.03p | 2.35p | 2.00p | 2.35p | 2 481 366 |
| Jul 24, 2026 | 2.24p | 2.50p | 2.10p | 2.30p | 1 095 366 |
| Jul 23, 2026 | 2.20p | 2.50p | 2.20p | 2.35p | 1 169 835 |
| Jul 22, 2026 | 2.45p | 2.60p | 2.20p | 2.50p | 0 |
| Jul 21, 2026 | 2.34p | 2.42p | 2.34p | 2.40p | 0 |
| Jul 20, 2026 | 2.40p | 2.50p | 2.30p | 2.40p | 638 079 |
| Jul 17, 2026 | 2.56p | 2.65p | 2.30p | 2.40p | 2 331 405 |
| Jul 16, 2026 | 2.65p | 2.80p | 2.40p | 2.50p | 1 461 870 |
| Jul 15, 2026 | 2.77p | 3.00p | 2.50p | 2.65p | 1 648 646 |
| Jul 14, 2026 | 2.66p | 2.90p | 2.50p | 2.90p | 1 569 351 |
| Jul 13, 2026 | 3.00p | 3.00p | 2.60p | 2.75p | 649 684 |
| Jul 10, 2026 | 2.85p | 3.00p | 2.60p | 2.73p | 954 184 |
| Jul 09, 2026 | 2.70p | 3.00p | 2.70p | 2.90p | 0 |
| Jul 08, 2026 | 3.07p | 3.20p | 2.76p | 2.85p | 2 983 190 |
| Jul 07, 2026 | 3.19p | 3.40p | 2.90p | 3.00p | 5 963 997 |
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 GSCU.L stock historical prices to predict future price movements?
Trend Analysis: Examine the GSCU.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 GSCU.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.
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