NYSE:CANO
Delisted
Cano Health, Inc. Stock Price (Quote)
$2.30
+0 (+0%)
At Close: May 01, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.30 | $2.30 | Wednesday, 1st May 2024 CANO stock ended at $2.30. During the day the stock fluctuated 0% from a day low at $2.30 to a day high of $2.30. |
90 days | $2.18 | $2.58 | |
52 weeks | $1.74 | $174.00 |
Date | Open | High | Low | Close | Volume |
Jan 11, 2024 | $3.85 | $3.88 | $3.52 | $3.57 | 176 690 |
Jan 10, 2024 | $3.80 | $3.90 | $3.52 | $3.85 | 183 973 |
Jan 09, 2024 | $3.90 | $3.90 | $3.58 | $3.84 | 236 891 |
Jan 08, 2024 | $4.04 | $4.04 | $3.65 | $3.87 | 227 805 |
Jan 05, 2024 | $3.89 | $4.04 | $3.60 | $3.99 | 192 392 |
Jan 04, 2024 | $4.31 | $4.37 | $3.79 | $3.96 | 291 265 |
Jan 03, 2024 | $5.31 | $5.31 | $3.65 | $4.13 | 907 918 |
Jan 02, 2024 | $5.81 | $6.03 | $5.18 | $5.23 | 302 686 |
Dec 29, 2023 | $5.94 | $6.19 | $5.72 | $5.87 | 199 264 |
Dec 28, 2023 | $5.69 | $6.35 | $5.58 | $5.82 | 276 947 |
Dec 27, 2023 | $5.56 | $5.82 | $5.40 | $5.81 | 199 009 |
Dec 26, 2023 | $5.69 | $5.69 | $5.13 | $5.56 | 221 481 |
Dec 22, 2023 | $5.90 | $6.07 | $5.31 | $5.54 | 286 633 |
Dec 21, 2023 | $6.99 | $7.01 | $5.13 | $5.82 | 874 487 |
Dec 20, 2023 | $7.91 | $8.05 | $6.83 | $6.92 | 252 019 |
Dec 19, 2023 | $8.06 | $8.19 | $7.68 | $7.89 | 252 950 |
Dec 18, 2023 | $8.40 | $8.63 | $7.95 | $8.05 | 68 900 |
Dec 15, 2023 | $9.60 | $9.69 | $7.80 | $8.49 | 233 099 |
Dec 14, 2023 | $8.42 | $9.56 | $8.40 | $9.31 | 148 105 |
Dec 13, 2023 | $8.31 | $8.44 | $7.59 | $8.39 | 146 470 |
Dec 12, 2023 | $8.38 | $8.53 | $7.91 | $8.27 | 106 853 |
Dec 11, 2023 | $8.51 | $9.10 | $7.11 | $8.36 | 477 871 |
Dec 08, 2023 | $9.62 | $10.55 | $8.39 | $8.59 | 452 273 |
Dec 07, 2023 | $12.05 | $13.12 | $10.31 | $10.80 | 420 718 |
Dec 06, 2023 | $9.76 | $13.33 | $9.76 | $11.71 | 774 362 |
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 CANO stock historical prices to predict future price movements?
Trend Analysis: Examine the CANO 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 CANO 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.