NASDAQ:CRIS
Curis Stock Price (Quote)
$10.15
+0 (+0%)
At Close: Jun 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.50 | $16.93 | Tuesday, 4th Jun 2024 CRIS stock ended at $10.15. During the day the stock fluctuated 0% from a day low at $10.15 to a day high of $10.15. |
90 days | $9.50 | $17.49 | |
52 weeks | $0.380 | $17.49 |
Historical Curis prices
Date | Open | High | Low | Close | Volume |
Sep 23, 2022 | $0.780 | $0.80 | $0.725 | $0.736 | 2 163 494 |
Sep 22, 2022 | $0.786 | $0.81 | $0.778 | $0.791 | 1 228 762 |
Sep 21, 2022 | $0.797 | $0.800 | $0.760 | $0.782 | 1 304 323 |
Sep 20, 2022 | $0.83 | $0.83 | $0.768 | $0.781 | 1 114 255 |
Sep 19, 2022 | $0.87 | $0.87 | $0.82 | $0.83 | 1 109 083 |
Sep 16, 2022 | $0.89 | $0.90 | $0.83 | $0.88 | 1 363 024 |
Sep 15, 2022 | $0.88 | $0.93 | $0.88 | $0.91 | 817 706 |
Sep 14, 2022 | $0.93 | $0.96 | $0.86 | $0.89 | 2 240 639 |
Sep 13, 2022 | $0.97 | $0.97 | $0.92 | $0.94 | 834 383 |
Sep 12, 2022 | $0.96 | $1.00 | $0.96 | $0.98 | 552 483 |
Sep 09, 2022 | $1.02 | $1.04 | $0.95 | $0.96 | 1 131 614 |
Sep 08, 2022 | $0.94 | $1.03 | $0.92 | $1.01 | 1 389 592 |
Sep 07, 2022 | $0.88 | $0.95 | $0.86 | $0.95 | 1 013 543 |
Sep 06, 2022 | $0.92 | $0.94 | $0.86 | $0.86 | 1 015 498 |
Sep 02, 2022 | $0.92 | $0.96 | $0.90 | $0.91 | 1 079 517 |
Sep 01, 2022 | $0.96 | $0.97 | $0.87 | $0.91 | 3 555 878 |
Aug 31, 2022 | $1.01 | $1.04 | $0.97 | $0.97 | 3 639 149 |
Aug 30, 2022 | $1.06 | $1.09 | $1.00 | $1.01 | 4 542 530 |
Aug 29, 2022 | $1.02 | $1.18 | $1.02 | $1.12 | 2 195 666 |
Aug 26, 2022 | $1.03 | $1.05 | $1.01 | $1.04 | 1 042 008 |
Aug 25, 2022 | $1.07 | $1.07 | $1.01 | $1.04 | 1 497 880 |
Aug 24, 2022 | $1.07 | $1.08 | $1.04 | $1.07 | 1 375 476 |
Aug 23, 2022 | $1.10 | $1.13 | $1.05 | $1.08 | 1 738 222 |
Aug 22, 2022 | $1.12 | $1.15 | $1.06 | $1.10 | 3 785 395 |
Aug 19, 2022 | $1.17 | $1.23 | $1.15 | $1.17 | 4 842 091 |
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 CRIS stock historical prices to predict future price movements?
Trend Analysis: Examine the CRIS 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 CRIS 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.