NASDAQ:CRIS
Curis Stock Price (Quote)
$11.80
-0.800 (-6.35%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.25 | $16.99 | Friday, 17th May 2024 CRIS stock ended at $11.80. This is 6.35% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 12.53% from a day low at $11.25 to a day high of $12.66. |
90 days | $9.17 | $17.49 | |
52 weeks | $0.380 | $17.49 |
Date | Open | High | Low | Close | Volume |
May 01, 2017 | $2.45 | $2.47 | $2.34 | $2.37 | 423 781 |
Apr 28, 2017 | $2.53 | $2.58 | $2.40 | $2.42 | 492 309 |
Apr 27, 2017 | $2.67 | $2.68 | $2.51 | $2.52 | 380 427 |
Apr 26, 2017 | $2.60 | $2.70 | $2.57 | $2.67 | 402 271 |
Apr 25, 2017 | $2.58 | $2.63 | $2.54 | $2.61 | 372 195 |
Apr 24, 2017 | $2.60 | $2.60 | $2.53 | $2.55 | 371 918 |
Apr 21, 2017 | $2.66 | $2.67 | $2.52 | $2.53 | 468 620 |
Apr 20, 2017 | $2.65 | $2.69 | $2.60 | $2.67 | 280 343 |
Apr 19, 2017 | $2.65 | $2.72 | $2.58 | $2.64 | 313 668 |
Apr 18, 2017 | $2.61 | $2.65 | $2.50 | $2.63 | 267 883 |
Apr 17, 2017 | $2.56 | $2.67 | $2.52 | $2.63 | 628 792 |
Apr 13, 2017 | $2.50 | $2.61 | $2.48 | $2.55 | 250 726 |
Apr 12, 2017 | $2.55 | $2.58 | $2.51 | $2.52 | 210 928 |
Apr 11, 2017 | $2.52 | $2.58 | $2.48 | $2.55 | 283 998 |
Apr 10, 2017 | $2.60 | $2.68 | $2.51 | $2.52 | 342 898 |
Apr 07, 2017 | $2.53 | $2.60 | $2.48 | $2.60 | 477 380 |
Apr 06, 2017 | $2.55 | $2.61 | $2.50 | $2.55 | 562 167 |
Apr 05, 2017 | $2.78 | $2.78 | $2.53 | $2.55 | 931 638 |
Apr 04, 2017 | $2.79 | $2.85 | $2.69 | $2.77 | 611 209 |
Apr 03, 2017 | $2.79 | $2.87 | $2.76 | $2.80 | 344 424 |
Mar 31, 2017 | $2.78 | $2.82 | $2.74 | $2.78 | 520 020 |
Mar 30, 2017 | $2.84 | $2.88 | $2.77 | $2.78 | 402 675 |
Mar 29, 2017 | $2.85 | $2.92 | $2.82 | $2.85 | 442 516 |
Mar 28, 2017 | $2.88 | $2.92 | $2.82 | $2.88 | 289 878 |
Mar 27, 2017 | $2.93 | $2.99 | $2.83 | $2.88 | 290 274 |
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.