XLON:GRID
Gresham House Energy Storage Fund Plc Stock Price (Quote)
£56.79
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £51.00 | £59.50 | Thursday, 30th May 2024 GRID.L stock ended at £56.79. During the day the stock fluctuated 0% from a day low at £56.79 to a day high of £56.79. |
90 days | £36.90 | £63.70 | |
52 weeks | £36.90 | £156.40 |
Historical Gresham House Energy Storage Fund Plc prices
Date | Open | High | Low | Close | Volume |
Mar 20, 2023 | £163.53 | £164.00 | £160.00 | £163.00 | 630 672 |
Mar 17, 2023 | £161.00 | £164.00 | £161.00 | £163.00 | 460 322 |
Mar 16, 2023 | £160.65 | £163.60 | £158.74 | £162.75 | 396 922 |
Mar 15, 2023 | £161.77 | £162.00 | £158.00 | £159.00 | 617 013 |
Mar 14, 2023 | £159.50 | £159.50 | £159.50 | £159.50 | 0 |
Mar 13, 2023 | £163.00 | £163.00 | £157.00 | £159.50 | 1 714 518 |
Mar 10, 2023 | £159.75 | £161.00 | £159.50 | £160.50 | 329 933 |
Mar 09, 2023 | £160.90 | £162.00 | £159.67 | £161.00 | 375 824 |
Mar 08, 2023 | £161.00 | £161.00 | £161.00 | £161.00 | 0 |
Mar 07, 2023 | £162.99 | £163.50 | £160.18 | £161.00 | 638 318 |
Mar 06, 2023 | £164.58 | £164.58 | £162.00 | £162.50 | 470 866 |
Mar 03, 2023 | £164.00 | £165.00 | £163.25 | £164.00 | 883 219 |
Mar 02, 2023 | £165.00 | £165.50 | £163.00 | £164.25 | 630 489 |
Mar 01, 2023 | £167.00 | £167.50 | £163.00 | £165.50 | 595 626 |
Feb 28, 2023 | £162.00 | £167.00 | £162.00 | £164.00 | 402 932 |
Feb 27, 2023 | £165.70 | £165.94 | £163.00 | £164.50 | 646 298 |
Feb 24, 2023 | £163.50 | £165.22 | £162.72 | £165.00 | 475 437 |
Feb 23, 2023 | £163.69 | £164.00 | £162.00 | £163.50 | 344 587 |
Feb 22, 2023 | £163.00 | £164.53 | £162.63 | £163.00 | 1 300 414 |
Feb 21, 2023 | £162.40 | £163.50 | £159.50 | £163.50 | 1 787 845 |
Feb 20, 2023 | £161.52 | £163.00 | £159.00 | £162.00 | 369 339 |
Feb 17, 2023 | £163.00 | £163.00 | £163.00 | £163.00 | 0 |
Feb 16, 2023 | £161.00 | £163.97 | £160.92 | £163.00 | 334 128 |
Feb 15, 2023 | £162.99 | £164.00 | £161.00 | £162.00 | 310 310 |
Feb 14, 2023 | £162.19 | £164.00 | £161.84 | £162.50 | 307 165 |
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 GRID.L stock historical prices to predict future price movements?
Trend Analysis: Examine the GRID.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 GRID.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.