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Range Low Price High Price Comment
30 days $1.48 $1.99 Thursday, 16th May 2024 QSI stock ended at $1.86. During the day the stock fluctuated 4.89% from a day low at $1.84 to a day high of $1.93.
90 days $1.48 $2.43
52 weeks $1.12 $3.90

Historical Quantum-Si incorporated prices

Date Open High Low Close Volume
Jun 26, 2023 $1.54 $1.55 $1.48 $1.52 858 987
Jun 23, 2023 $1.53 $1.60 $1.46 $1.55 2 874 403
Jun 22, 2023 $1.50 $1.56 $1.45 $1.55 916 304
Jun 21, 2023 $1.40 $1.52 $1.40 $1.49 2 042 836
Jun 20, 2023 $1.46 $1.48 $1.38 $1.44 2 214 254
Jun 16, 2023 $1.65 $1.65 $1.46 $1.46 1 778 369
Jun 15, 2023 $1.65 $1.67 $1.59 $1.60 515 668
Jun 14, 2023 $1.72 $1.78 $1.61 $1.61 418 182
Jun 13, 2023 $1.59 $1.71 $1.58 $1.68 572 040
Jun 12, 2023 $1.60 $1.64 $1.58 $1.61 530 243
Jun 09, 2023 $1.74 $1.74 $1.58 $1.60 371 740
Jun 08, 2023 $1.76 $1.77 $1.68 $1.69 277 770
Jun 07, 2023 $1.85 $1.91 $1.77 $1.77 517 908
Jun 06, 2023 $1.67 $1.89 $1.67 $1.83 520 036
Jun 05, 2023 $1.68 $1.73 $1.65 $1.66 470 907
Jun 02, 2023 $1.60 $1.70 $1.56 $1.69 455 507
Jun 01, 2023 $1.53 $1.57 $1.46 $1.54 330 834
May 31, 2023 $1.58 $1.64 $1.47 $1.51 510 256
May 30, 2023 $1.68 $1.69 $1.59 $1.59 413 021
May 26, 2023 $1.63 $1.67 $1.59 $1.63 203 023
May 25, 2023 $1.68 $1.71 $1.57 $1.57 278 899
May 24, 2023 $1.74 $1.75 $1.62 $1.67 270 939
May 23, 2023 $1.78 $1.94 $1.70 $1.72 963 118
May 22, 2023 $1.55 $1.79 $1.54 $1.75 1 009 633
May 19, 2023 $1.49 $1.58 $1.46 $1.52 329 096

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 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.

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 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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