IonQ, Inc. Stock Price (Quote)
$6.80
-0.410 (-5.69%)
At Close: Jun 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.77 | $8.86 | Thursday, 20th Jun 2024 IONQ stock ended at $6.80. This is 5.69% less than the trading day before Tuesday, 18th Jun 2024. During the day the stock fluctuated 5.10% from a day low at $6.77 to a day high of $7.12. |
90 days | $6.77 | $10.09 | |
52 weeks | $6.77 | $21.60 |
Historical IonQ, Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 20, 2024 | $7.10 | $7.12 | $6.77 | $6.80 | 7 547 285 |
Jun 18, 2024 | $7.33 | $7.41 | $7.18 | $7.21 | 4 670 579 |
Jun 17, 2024 | $7.61 | $7.64 | $7.30 | $7.56 | 5 395 685 |
Jun 14, 2024 | $7.59 | $7.77 | $7.56 | $7.70 | 2 938 310 |
Jun 13, 2024 | $8.00 | $8.13 | $7.59 | $7.71 | 4 236 394 |
Jun 12, 2024 | $8.16 | $8.37 | $7.93 | $7.95 | 4 188 480 |
Jun 11, 2024 | $8.08 | $8.13 | $7.81 | $7.87 | 2 723 398 |
Jun 10, 2024 | $7.80 | $8.31 | $7.74 | $8.22 | 3 597 927 |
Jun 07, 2024 | $7.71 | $8.12 | $7.67 | $7.86 | 3 600 221 |
Jun 06, 2024 | $7.86 | $7.87 | $7.70 | $7.83 | 2 498 249 |
Jun 05, 2024 | $7.88 | $7.97 | $7.70 | $7.93 | 3 053 906 |
Jun 04, 2024 | $7.78 | $7.91 | $7.67 | $7.71 | 3 073 933 |
Jun 03, 2024 | $8.29 | $8.32 | $7.77 | $7.78 | 4 385 674 |
May 31, 2024 | $8.51 | $8.61 | $8.09 | $8.15 | 2 989 188 |
May 30, 2024 | $8.25 | $8.47 | $8.17 | $8.40 | 2 938 877 |
May 29, 2024 | $8.10 | $8.22 | $8.04 | $8.14 | 3 067 621 |
May 28, 2024 | $8.42 | $8.48 | $8.18 | $8.28 | 3 195 895 |
May 24, 2024 | $8.44 | $8.56 | $8.37 | $8.43 | 2 559 655 |
May 23, 2024 | $8.69 | $8.74 | $8.27 | $8.32 | 3 572 177 |
May 22, 2024 | $8.49 | $8.86 | $8.46 | $8.60 | 2 887 122 |
May 21, 2024 | $8.84 | $8.85 | $8.36 | $8.48 | 4 688 568 |
May 20, 2024 | $8.81 | $9.01 | $8.72 | $8.88 | 3 859 387 |
May 17, 2024 | $8.81 | $8.91 | $8.65 | $8.78 | 2 583 742 |
May 16, 2024 | $8.97 | $9.02 | $8.70 | $8.71 | 3 134 986 |
May 15, 2024 | $9.46 | $9.56 | $8.88 | $9.00 | 4 541 429 |
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 IONQ stock historical prices to predict future price movements?
Trend Analysis: Examine the IONQ 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 IONQ 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.