NASDAQ:CAN
Canaan Inc. Stock Price (Quote)
$1.05
-0.120 (-10.26%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.750 | $1.29 | Friday, 17th May 2024 CAN stock ended at $1.05. This is 10.26% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 24.04% from a day low at $1.04 to a day high of $1.29. |
90 days | $0.750 | $2.43 | |
52 weeks | $0.750 | $3.49 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | $1.84 | $1.84 | $1.75 | $1.78 | 952 059 |
Oct 11, 2023 | $1.87 | $1.90 | $1.81 | $1.83 | 795 870 |
Oct 10, 2023 | $1.87 | $1.93 | $1.87 | $1.88 | 1 140 086 |
Oct 09, 2023 | $1.85 | $1.93 | $1.83 | $1.89 | 866 384 |
Oct 06, 2023 | $1.84 | $1.89 | $1.83 | $1.88 | 1 206 655 |
Oct 05, 2023 | $1.88 | $1.90 | $1.85 | $1.86 | 643 029 |
Oct 04, 2023 | $1.81 | $1.90 | $1.77 | $1.88 | 1 416 758 |
Oct 03, 2023 | $1.81 | $1.83 | $1.75 | $1.81 | 1 969 143 |
Oct 02, 2023 | $1.85 | $1.91 | $1.81 | $1.84 | 1 866 488 |
Sep 29, 2023 | $1.78 | $1.84 | $1.77 | $1.82 | 1 599 312 |
Sep 28, 2023 | $1.68 | $1.81 | $1.66 | $1.74 | 2 153 942 |
Sep 27, 2023 | $1.72 | $1.75 | $1.64 | $1.68 | 1 113 350 |
Sep 26, 2023 | $1.74 | $1.77 | $1.67 | $1.68 | 2 363 134 |
Sep 25, 2023 | $1.78 | $1.81 | $1.74 | $1.75 | 957 369 |
Sep 22, 2023 | $1.82 | $1.87 | $1.78 | $1.80 | 1 011 157 |
Sep 21, 2023 | $1.78 | $1.81 | $1.73 | $1.79 | 2 115 248 |
Sep 20, 2023 | $1.84 | $1.87 | $1.79 | $1.81 | 1 641 444 |
Sep 19, 2023 | $1.88 | $1.90 | $1.81 | $1.86 | 1 489 715 |
Sep 18, 2023 | $1.90 | $1.93 | $1.83 | $1.86 | 1 156 057 |
Sep 15, 2023 | $1.87 | $1.90 | $1.82 | $1.88 | 2 244 043 |
Sep 14, 2023 | $1.83 | $1.91 | $1.82 | $1.87 | 1 238 490 |
Sep 13, 2023 | $1.86 | $1.92 | $1.79 | $1.80 | 2 329 455 |
Sep 12, 2023 | $1.90 | $1.97 | $1.84 | $1.85 | 2 402 667 |
Sep 11, 2023 | $1.92 | $1.94 | $1.85 | $1.88 | 947 891 |
Sep 08, 2023 | $1.92 | $1.93 | $1.86 | $1.89 | 753 074 |
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 CAN stock historical prices to predict future price movements?
Trend Analysis: Examine the CAN 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 CAN 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.