NASDAQ:CUE
Cue Biopharma Inc. Stock Price (Quote)
$1.89
+0.0150 (+0.80%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.30 | $2.26 | Tuesday, 21st May 2024 CUE stock ended at $1.89. This is 0.80% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 11.49% from a day low at $1.74 to a day high of $1.94. |
90 days | $1.30 | $2.37 | |
52 weeks | $1.30 | $4.89 |
Date | Open | High | Low | Close | Volume |
Sep 11, 2023 | $2.62 | $2.69 | $2.60 | $2.69 | 174 907 |
Sep 08, 2023 | $2.62 | $2.66 | $2.57 | $2.63 | 72 365 |
Sep 07, 2023 | $2.65 | $2.69 | $2.60 | $2.62 | 137 110 |
Sep 06, 2023 | $2.60 | $2.69 | $2.55 | $2.68 | 186 636 |
Sep 05, 2023 | $2.65 | $2.72 | $2.55 | $2.58 | 245 185 |
Sep 01, 2023 | $2.72 | $2.76 | $2.67 | $2.68 | 215 796 |
Aug 31, 2023 | $2.83 | $2.83 | $2.71 | $2.71 | 189 847 |
Aug 30, 2023 | $2.85 | $2.91 | $2.82 | $2.83 | 140 931 |
Aug 29, 2023 | $2.75 | $2.90 | $2.74 | $2.85 | 213 740 |
Aug 28, 2023 | $2.77 | $2.90 | $2.61 | $2.74 | 320 726 |
Aug 25, 2023 | $2.90 | $2.90 | $2.63 | $2.79 | 496 079 |
Aug 24, 2023 | $3.07 | $3.07 | $2.87 | $2.89 | 339 082 |
Aug 23, 2023 | $3.09 | $3.15 | $3.04 | $3.07 | 153 653 |
Aug 22, 2023 | $2.99 | $3.12 | $2.96 | $3.09 | 411 983 |
Aug 21, 2023 | $2.99 | $3.04 | $2.92 | $3.00 | 290 870 |
Aug 18, 2023 | $2.88 | $3.04 | $2.85 | $2.99 | 263 457 |
Aug 17, 2023 | $3.00 | $3.01 | $2.88 | $2.92 | 396 234 |
Aug 16, 2023 | $2.90 | $3.05 | $2.90 | $3.01 | 435 816 |
Aug 15, 2023 | $3.01 | $3.02 | $2.67 | $2.81 | 559 254 |
Aug 14, 2023 | $2.99 | $3.11 | $2.85 | $3.07 | 552 051 |
Aug 11, 2023 | $3.00 | $3.09 | $2.70 | $3.03 | 1 026 858 |
Aug 10, 2023 | $3.73 | $3.68 | $3.01 | $3.14 | 1 226 939 |
Aug 09, 2023 | $3.63 | $3.68 | $3.57 | $3.62 | 246 214 |
Aug 08, 2023 | $3.55 | $3.61 | $3.45 | $3.58 | 421 100 |
Aug 07, 2023 | $3.63 | $3.65 | $3.40 | $3.48 | 506 374 |
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 CUE stock historical prices to predict future price movements?
Trend Analysis: Examine the CUE 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 CUE 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.