$0.92
-0.0778 (-7.79%)
At Close: Jun 22, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.92 | $1.30 | Monday, 22nd Jun 2026 QSI stock ended at $0.92. This is 7.79% less than the trading day before Thursday, 18th Jun 2026. During the day the stock fluctuated 16.18% from a day low at $0.92 to a day high of $1.07. |
| 90 days | $0.691 | $1.30 | |
| 52 weeks | $0.691 | $3.10 |
Historical Quantum-Si incorporated prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 22, 2026 | $1.00 | $1.07 | $0.92 | $0.92 | 5 775 957 |
| Jun 18, 2026 | $0.96 | $1.03 | $0.96 | $1.00 | 6 311 879 |
| Jun 17, 2026 | $0.97 | $1.00 | $0.93 | $0.94 | 3 396 113 |
| Jun 16, 2026 | $1.00 | $1.00 | $0.94 | $0.95 | 3 630 332 |
| Jun 15, 2026 | $1.03 | $1.04 | $0.98 | $0.99 | 9 406 953 |
| Jun 12, 2026 | $0.98 | $1.01 | $0.93 | $0.95 | 3 272 643 |
| Jun 11, 2026 | $0.94 | $0.98 | $0.92 | $0.97 | 3 347 647 |
| Jun 10, 2026 | $0.98 | $1.02 | $0.95 | $0.95 | 3 403 939 |
| Jun 09, 2026 | $1.06 | $1.08 | $0.94 | $0.99 | 8 010 745 |
| Jun 08, 2026 | $1.08 | $1.10 | $1.03 | $1.06 | 4 198 029 |
| Jun 05, 2026 | $1.24 | $1.25 | $1.02 | $1.05 | 8 846 967 |
| Jun 04, 2026 | $1.19 | $1.30 | $1.17 | $1.28 | 9 559 236 |
| Jun 03, 2026 | $1.22 | $1.22 | $1.17 | $1.19 | 7 871 291 |
| Jun 02, 2026 | $1.16 | $1.26 | $1.16 | $1.24 | 7 241 458 |
| Jun 01, 2026 | $1.17 | $1.25 | $1.12 | $1.18 | 7 388 050 |
| May 29, 2026 | $1.21 | $1.21 | $1.11 | $1.19 | 7 250 097 |
| May 28, 2026 | $1.09 | $1.21 | $1.08 | $1.20 | 7 265 242 |
| May 27, 2026 | $1.06 | $1.19 | $1.03 | $1.13 | 8 449 557 |
| May 26, 2026 | $1.08 | $1.09 | $1.01 | $1.08 | 7 417 534 |
| May 22, 2026 | $1.00 | $1.06 | $1.00 | $1.06 | 8 784 965 |
| May 21, 2026 | $0.87 | $0.99 | $0.87 | $0.99 | 11 122 988 |
| May 20, 2026 | $0.87 | $0.88 | $0.84 | $0.88 | 4 661 330 |
| May 19, 2026 | $0.84 | $0.87 | $0.82 | $0.86 | 3 086 876 |
| May 18, 2026 | $0.90 | $0.90 | $0.83 | $0.85 | 4 552 186 |
| May 15, 2026 | $0.91 | $0.91 | $0.88 | $0.89 | 3 672 991 |
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 QSI stock historical prices to predict future price movements?
Trend Analysis: Examine the QSI 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 QSI 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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