NASDAQ:CNET
ChinaNet Online Holdings Stock Price (Quote)
$0.790
+0.0349 (+4.62%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.661 | $1.01 | Monday, 20th May 2024 CNET stock ended at $0.790. This is 4.62% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 8.03% from a day low at $0.731 to a day high of $0.790. |
90 days | $0.661 | $1.09 | |
52 weeks | $0.661 | $1.45 |
Date | Open | High | Low | Close | Volume |
Feb 02, 2023 | $1.78 | $1.88 | $1.73 | $1.77 | 124 820 |
Feb 01, 2023 | $1.78 | $1.79 | $1.71 | $1.75 | 117 681 |
Jan 31, 2023 | $1.86 | $1.89 | $1.60 | $1.70 | 827 864 |
Jan 30, 2023 | $1.86 | $1.90 | $1.76 | $1.80 | 80 652 |
Jan 27, 2023 | $1.87 | $1.91 | $1.86 | $1.86 | 27 613 |
Jan 26, 2023 | $1.91 | $1.98 | $1.88 | $1.88 | 32 697 |
Jan 25, 2023 | $1.95 | $1.95 | $1.86 | $1.89 | 42 329 |
Jan 24, 2023 | $1.90 | $1.95 | $1.85 | $1.85 | 34 093 |
Jan 23, 2023 | $1.93 | $1.97 | $1.91 | $1.97 | 155 803 |
Jan 20, 2023 | $2.12 | $2.20 | $1.75 | $1.95 | 550 868 |
Jan 19, 2023 | $0.412 | $0.440 | $0.411 | $0.431 | 211 902 |
Jan 18, 2023 | $2.00 | $2.20 | $2.00 | $2.11 | 155 582 |
Jan 17, 2023 | $2.65 | $2.68 | $1.95 | $2.16 | 647 703 |
Jan 13, 2023 | $0.543 | $0.580 | $0.530 | $0.569 | 150 027 |
Jan 12, 2023 | $0.532 | $0.546 | $0.511 | $0.545 | 217 777 |
Jan 11, 2023 | $0.480 | $0.530 | $0.480 | $0.530 | 146 000 |
Jan 10, 2023 | $0.500 | $0.510 | $0.470 | $0.480 | 45 100 |
Jan 09, 2023 | $0.510 | $0.550 | $0.460 | $0.490 | 418 600 |
Jan 06, 2023 | $0.520 | $0.550 | $0.510 | $0.540 | 486 100 |
Jan 05, 2023 | $0.462 | $0.520 | $0.462 | $0.504 | 550 490 |
Jan 04, 2023 | $0.450 | $0.500 | $0.450 | $0.455 | 62 784 |
Jan 03, 2023 | $0.459 | $0.490 | $0.459 | $0.470 | 84 040 |
Dec 30, 2022 | $0.440 | $0.460 | $0.435 | $0.460 | 63 354 |
Dec 29, 2022 | $0.450 | $0.468 | $0.430 | $0.454 | 127 708 |
Dec 28, 2022 | $0.453 | $0.490 | $0.440 | $0.450 | 92 767 |
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 CNET stock historical prices to predict future price movements?
Trend Analysis: Examine the CNET 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 CNET 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.