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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

Historical ProShares Ultra Silver ETF prices

Date Open High Low Close Volume
Apr 04, 2016 £1.18 £1.18 £1.13 £1.13 2 703 257
Apr 01, 2016 £1.15 £1.15 £1.15 £1.15 1 615 809
Mar 31, 2016 £1.15 £1.15 £1.15 £1.15 546 080
Mar 30, 2016 £1.20 £1.20 £1.13 £1.15 2 896 220
Mar 29, 2016 £1.23 £1.23 £1.20 £1.20 2 818 033
Mar 24, 2016 £1.23 £1.23 £1.23 £1.23 2 121 099
Mar 23, 2016 £1.20 £1.23 £1.20 £1.23 2 782 838
Mar 22, 2016 £1.30 £1.30 £1.20 £1.20 2 372 738
Mar 21, 2016 £1.25 £1.35 £1.25 £1.30 5 155 515
Mar 18, 2016 £1.25 £1.33 £1.25 £1.25 8 990 935
Mar 17, 2016 £1.15 £1.23 £1.15 £1.23 11 329 903
Mar 16, 2016 £1.20 £1.20 £1.13 £1.15 3 325 205
Mar 15, 2016 £1.20 £1.20 £1.20 £1.20 2 199 291
Mar 14, 2016 £1.10 £1.23 £1.10 £1.20 9 774 288
Mar 11, 2016 £1.10 £1.10 £1.10 £1.10 2 182 550
Mar 10, 2016 £1.13 £1.13 £1.08 £1.10 1 848 016
Mar 09, 2016 £1.08 £1.15 £1.08 £1.13 4 039 749
Mar 08, 2016 £1.13 £1.13 £1.08 £1.08 3 408 483
Mar 07, 2016 £1.15 £1.15 £1.03 £1.13 5 635 842
Mar 04, 2016 £1.15 £1.15 £1.15 £1.15 1 100 871
Mar 03, 2016 £1.05 £1.15 £1.03 £1.15 4 961 131
Mar 02, 2016 £1.10 £1.10 £1.05 £1.05 3 791 462
Mar 01, 2016 £1.18 £1.18 £1.08 £1.10 4 663 106
Feb 29, 2016 £1.15 £1.18 £1.13 £1.18 6 558 337
Feb 26, 2016 £1.20 £1.20 £1.13 £1.15 8 321 862

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.

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.

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.

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.
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