XLON:DIG
PROSHARES ULTRA OIL & GAS PROSHARES Stock Price (Quote)
£289.00
-2.00 (-0.687%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £273.36 | £293.00 | Tuesday, 14th May 2024 DIG.L stock ended at £289.00. This is 0.687% less than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 1.04% from a day low at £289.00 to a day high of £292.00. |
90 days | £270.00 | £293.00 | |
52 weeks | £248.97 | £307.00 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2023 | £276.79 | £281.00 | £276.57 | £280.00 | 117 022 |
Dec 15, 2023 | £281.00 | £281.00 | £277.00 | £279.00 | 103 747 |
Dec 14, 2023 | £277.60 | £284.00 | £277.60 | £279.00 | 166 511 |
Dec 13, 2023 | £276.38 | £278.00 | £275.41 | £277.00 | 107 155 |
Dec 12, 2023 | £277.00 | £278.00 | £274.00 | £274.00 | 165 712 |
Dec 11, 2023 | £275.56 | £276.00 | £274.00 | £275.00 | 107 202 |
Dec 08, 2023 | £275.00 | £276.40 | £273.00 | £274.00 | 124 879 |
Dec 07, 2023 | £274.50 | £275.00 | £271.42 | £273.00 | 150 290 |
Dec 06, 2023 | £270.75 | £276.00 | £270.75 | £273.00 | 80 387 |
Dec 05, 2023 | £275.34 | £275.34 | £270.00 | £274.00 | 101 255 |
Dec 04, 2023 | £273.69 | £276.00 | £273.00 | £273.00 | 88 961 |
Dec 01, 2023 | £277.00 | £277.00 | £271.69 | £276.00 | 109 452 |
Nov 30, 2023 | £271.00 | £275.00 | £270.46 | £273.00 | 83 823 |
Nov 29, 2023 | £269.92 | £273.00 | £269.00 | £270.00 | 249 595 |
Nov 28, 2023 | £270.63 | £272.03 | £269.24 | £271.00 | 186 152 |
Nov 27, 2023 | £271.00 | £273.00 | £271.00 | £273.00 | 118 006 |
Nov 24, 2023 | £271.64 | £273.00 | £268.30 | £271.00 | 124 043 |
Nov 23, 2023 | £270.20 | £270.20 | £268.00 | £269.00 | 79 802 |
Nov 22, 2023 | £268.00 | £271.00 | £266.22 | £271.00 | 150 264 |
Nov 21, 2023 | £269.37 | £270.02 | £266.00 | £266.00 | 98 194 |
Nov 20, 2023 | £270.36 | £271.00 | £268.00 | £271.00 | 129 436 |
Nov 17, 2023 | £268.00 | £269.84 | £267.00 | £269.00 | 113 674 |
Nov 16, 2023 | £266.69 | £268.52 | £265.00 | £265.00 | 95 566 |
Nov 15, 2023 | £265.00 | £269.00 | £265.00 | £267.00 | 152 982 |
Nov 14, 2023 | £261.30 | £265.13 | £261.00 | £263.00 | 140 592 |
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 DIG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the DIG.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 DIG.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.