NYSEARCA:QID
ProShares UltraShort QQQ ETF Price (Quote)
$41.44
-0.330 (-0.790%)
At Close: Jun 10, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $41.28 | $45.55 | Monday, 10th Jun 2024 QID stock ended at $41.44. This is 0.790% less than the trading day before Friday, 7th Jun 2024. During the day the stock fluctuated 1.57% from a day low at $41.38 to a day high of $42.03. |
90 days | $8.72 | $51.87 | |
52 weeks | $8.72 | $51.87 |
Historical ProShares UltraShort QQQ prices
Date | Open | High | Low | Close | Volume |
Feb 04, 2016 | $141.68 | $144.28 | $138.76 | $140.92 | 1 234 700 |
Feb 03, 2016 | $137.88 | $145.72 | $137.76 | $140.80 | 1 818 450 |
Feb 02, 2016 | $134.96 | $140.32 | $134.96 | $139.44 | 1 079 050 |
Feb 01, 2016 | $135.92 | $136.84 | $132.76 | $133.80 | 883 550 |
Jan 29, 2016 | $140.40 | $140.56 | $134.44 | $134.64 | 1 108 825 |
Jan 28, 2016 | $139.80 | $145.36 | $139.56 | $140.40 | 1 237 400 |
Jan 27, 2016 | $139.16 | $145.60 | $138.04 | $144.36 | 1 630 650 |
Jan 26, 2016 | $139.00 | $141.40 | $136.44 | $137.52 | 1 056 750 |
Jan 25, 2016 | $136.88 | $140.36 | $135.52 | $139.96 | 860 650 |
Jan 22, 2016 | $138.76 | $139.60 | $136.00 | $136.08 | 1 253 450 |
Jan 21, 2016 | $143.64 | $147.40 | $140.16 | $144.28 | 1 540 400 |
Jan 20, 2016 | $148.40 | $154.68 | $141.68 | $144.56 | 2 220 800 |
Jan 19, 2016 | $140.64 | $147.28 | $140.12 | $143.84 | 1 354 900 |
Jan 15, 2016 | $145.16 | $147.92 | $141.56 | $144.40 | 2 058 650 |
Jan 14, 2016 | $140.92 | $145.52 | $133.52 | $136.04 | 2 331 975 |
Jan 13, 2016 | $131.80 | $142.48 | $131.24 | $142.08 | 2 093 525 |
Jan 12, 2016 | $133.56 | $136.76 | $131.52 | $132.80 | 1 996 125 |
Jan 11, 2016 | $135.00 | $140.28 | $134.16 | $136.00 | 2 018 650 |
Jan 08, 2016 | $132.80 | $137.20 | $131.08 | $136.84 | 1 560 475 |
Jan 07, 2016 | $132.28 | $134.84 | $129.08 | $134.76 | 1 538 350 |
Jan 06, 2016 | $128.68 | $128.68 | $125.44 | $126.84 | 1 316 425 |
Jan 05, 2016 | $122.80 | $125.56 | $122.44 | $124.48 | 1 144 300 |
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 QID stock historical prices to predict future price movements?
Trend Analysis: Examine the QID 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 QID 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.