NASDAQ:CTLP
Cantaloupe, Inc. Stock Price (Quote)
$6.64
-0.0400 (-0.599%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.75 | $7.03 | Thursday, 23rd May 2024 CTLP stock ended at $6.64. This is 0.599% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 6.95% from a day low at $6.55 to a day high of $7.00. |
90 days | $5.75 | $7.03 | |
52 weeks | $5.75 | $8.29 |
Date | Open | High | Low | Close | Volume |
Feb 06, 2024 | $6.81 | $6.91 | $6.81 | $6.87 | 139 355 |
Feb 05, 2024 | $6.77 | $6.87 | $6.64 | $6.81 | 219 750 |
Feb 02, 2024 | $6.82 | $6.89 | $6.73 | $6.83 | 187 975 |
Feb 01, 2024 | $6.83 | $6.92 | $6.76 | $6.91 | 184 534 |
Jan 31, 2024 | $6.92 | $7.10 | $6.81 | $6.81 | 268 332 |
Jan 30, 2024 | $7.04 | $7.11 | $6.87 | $6.94 | 386 396 |
Jan 29, 2024 | $6.72 | $7.10 | $6.72 | $7.09 | 304 603 |
Jan 26, 2024 | $6.78 | $6.82 | $6.66 | $6.68 | 113 692 |
Jan 25, 2024 | $6.81 | $6.82 | $6.63 | $6.72 | 197 766 |
Jan 24, 2024 | $6.96 | $6.97 | $6.67 | $6.69 | 192 919 |
Jan 23, 2024 | $6.86 | $6.88 | $6.80 | $6.87 | 208 347 |
Jan 22, 2024 | $6.68 | $6.82 | $6.68 | $6.78 | 151 541 |
Jan 19, 2024 | $6.51 | $6.62 | $6.39 | $6.59 | 233 118 |
Jan 18, 2024 | $6.60 | $6.64 | $6.42 | $6.46 | 196 569 |
Jan 17, 2024 | $6.53 | $6.58 | $6.43 | $6.57 | 333 591 |
Jan 16, 2024 | $6.82 | $6.85 | $6.57 | $6.57 | 258 297 |
Jan 12, 2024 | $7.09 | $7.13 | $6.89 | $6.90 | 170 399 |
Jan 11, 2024 | $7.07 | $7.09 | $6.91 | $6.99 | 133 430 |
Jan 10, 2024 | $7.16 | $7.17 | $7.03 | $7.11 | 127 786 |
Jan 09, 2024 | $7.12 | $7.22 | $7.07 | $7.15 | 157 032 |
Jan 08, 2024 | $6.93 | $7.23 | $6.92 | $7.23 | 151 144 |
Jan 05, 2024 | $6.95 | $7.04 | $6.89 | $6.89 | 268 135 |
Jan 04, 2024 | $7.07 | $7.07 | $6.96 | $7.00 | 227 340 |
Jan 03, 2024 | $7.27 | $7.27 | $7.01 | $7.03 | 244 624 |
Jan 02, 2024 | $7.37 | $7.48 | $7.26 | $7.33 | 303 107 |
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 CTLP stock historical prices to predict future price movements?
Trend Analysis: Examine the CTLP 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 CTLP 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.