NYSEMKT:CANF
Can-Fite BioPharma Ltd Stock Price (Quote)
$2.38
+0.143 (+6.37%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.91 | $2.43 | Friday, 17th May 2024 CANF stock ended at $2.38. This is 6.37% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.46% from a day low at $2.22 to a day high of $2.43. |
90 days | $1.91 | $2.71 | |
52 weeks | $1.81 | $3.33 |
Date | Open | High | Low | Close | Volume |
Aug 05, 2021 | $2.06 | $2.12 | $2.04 | $2.12 | 71 163 |
Aug 04, 2021 | $2.08 | $2.12 | $2.04 | $2.07 | 81 595 |
Aug 03, 2021 | $2.11 | $2.11 | $2.05 | $2.08 | 85 460 |
Aug 02, 2021 | $2.10 | $2.10 | $2.04 | $2.09 | 75 131 |
Jul 30, 2021 | $2.05 | $2.10 | $2.00 | $2.00 | 139 447 |
Jul 29, 2021 | $2.10 | $2.10 | $2.07 | $2.09 | 29 541 |
Jul 28, 2021 | $2.04 | $2.08 | $2.03 | $2.07 | 87 133 |
Jul 27, 2021 | $2.14 | $2.14 | $1.95 | $2.04 | 190 507 |
Jul 26, 2021 | $2.18 | $2.18 | $2.05 | $2.11 | 152 578 |
Jul 23, 2021 | $2.17 | $2.18 | $2.12 | $2.16 | 111 727 |
Jul 22, 2021 | $2.21 | $2.24 | $2.17 | $2.17 | 324 095 |
Jul 21, 2021 | $2.21 | $2.22 | $2.17 | $2.18 | 138 648 |
Jul 20, 2021 | $2.21 | $2.27 | $2.17 | $2.21 | 401 170 |
Jul 19, 2021 | $2.25 | $2.25 | $2.15 | $2.15 | 256 761 |
Jul 16, 2021 | $2.34 | $2.34 | $2.30 | $2.31 | 92 589 |
Jul 15, 2021 | $2.30 | $2.35 | $2.26 | $2.34 | 139 309 |
Jul 14, 2021 | $2.22 | $2.37 | $2.22 | $2.31 | 294 856 |
Jul 13, 2021 | $2.22 | $2.25 | $2.22 | $2.23 | 68 760 |
Jul 12, 2021 | $2.32 | $2.32 | $2.25 | $2.25 | 113 056 |
Jul 09, 2021 | $2.26 | $2.33 | $2.26 | $2.32 | 251 591 |
Jul 08, 2021 | $2.13 | $2.29 | $2.13 | $2.24 | 424 549 |
Jul 07, 2021 | $2.27 | $2.27 | $2.20 | $2.24 | 102 984 |
Jul 06, 2021 | $2.25 | $2.27 | $2.23 | $2.26 | 113 233 |
Jul 02, 2021 | $2.31 | $2.32 | $2.23 | $2.27 | 148 529 |
Jul 01, 2021 | $2.25 | $2.32 | $2.25 | $2.32 | 298 607 |
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 CANF stock historical prices to predict future price movements?
Trend Analysis: Examine the CANF 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 CANF 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.