XLON:AGQ
Delisted
ProShares Ultra Silver ETF Fund Price (Quote)
£0.135
+0 (+0%)
At Close: Sep 16, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.135 | £0.135 | Monday, 16th Sep 2019 AGQ.L stock ended at £0.135. During the day the stock fluctuated 0% from a day low at £0.135 to a day high of £0.135. |
90 days | £0.125 | £0.150 | |
52 weeks | £0.0450 | £0.470 |
Date | Open | High | Low | Close | Volume |
Dec 08, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 418 164 |
Dec 07, 2016 | £0.650 | £0.650 | £0.625 | £0.650 | 517 139 |
Dec 06, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 757 680 |
Dec 05, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 175 599 |
Dec 02, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 20 000 |
Dec 01, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 887 009 |
Nov 30, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 83 900 |
Nov 29, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 37 936 |
Nov 28, 2016 | £0.625 | £0.650 | £0.625 | £0.650 | 12 093 |
Nov 25, 2016 | £0.625 | £0.625 | £0.625 | £0.625 | 114 226 |
Nov 24, 2016 | £0.625 | £0.625 | £0.625 | £0.625 | 2 184 |
Nov 23, 2016 | £0.650 | £0.650 | £0.625 | £0.625 | 1 571 114 |
Nov 22, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 12 997 |
Nov 21, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 369 577 |
Nov 18, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 878 940 |
Nov 17, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 27 411 |
Nov 16, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 389 992 |
Nov 15, 2016 | £0.650 | £0.650 | £0.650 | £0.650 | 323 526 |
Nov 14, 2016 | £0.675 | £0.675 | £0.650 | £0.650 | 267 473 |
Nov 11, 2016 | £0.675 | £0.675 | £0.675 | £0.675 | 266 532 |
Nov 10, 2016 | £0.700 | £0.700 | £0.675 | £0.675 | 568 046 |
Nov 09, 2016 | £0.700 | £0.700 | £0.700 | £0.700 | 1 444 221 |
Nov 08, 2016 | £0.675 | £0.675 | £0.675 | £0.675 | 339 631 |
Nov 07, 2016 | £0.700 | £0.700 | £0.675 | £0.675 | 1 430 321 |
Nov 04, 2016 | £0.625 | £0.725 | £0.625 | £0.700 | 7 566 989 |
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 AGQ.L stock historical prices to predict future price movements?
Trend Analysis: Examine the AGQ.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 AGQ.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.