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Range Low Price High Price Comment
30 days $0.661 $1.03 Friday, 17th May 2024 CNET stock ended at $0.755. This is 7.43% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 19.56% from a day low at $0.710 to a day high of $0.85.
90 days $0.661 $1.09
52 weeks $0.661 $1.45

Historical ChinaNet Online Holdings prices

Date Open High Low Close Volume
May 20, 2022 $0.330 $0.342 $0.300 $0.314 112 797
May 19, 2022 $0.330 $0.360 $0.330 $0.340 236 973
May 18, 2022 $0.290 $0.330 $0.282 $0.322 814 352
May 17, 2022 $0.296 $0.311 $0.281 $0.298 150 468
May 16, 2022 $0.310 $0.313 $0.300 $0.313 59 611
May 13, 2022 $0.300 $0.330 $0.293 $0.310 198 711
May 12, 2022 $0.300 $0.300 $0.283 $0.288 195 511
May 11, 2022 $0.310 $0.320 $0.280 $0.306 142 656
May 10, 2022 $0.323 $0.330 $0.301 $0.303 222 021
May 09, 2022 $0.398 $0.398 $0.322 $0.330 208 980
May 06, 2022 $0.441 $0.441 $0.383 $0.410 113 755
May 05, 2022 $0.460 $0.484 $0.420 $0.441 110 127
May 04, 2022 $0.477 $0.490 $0.460 $0.464 98 090
May 03, 2022 $0.490 $0.500 $0.484 $0.495 44 805
May 02, 2022 $0.503 $0.508 $0.480 $0.480 110 502
Apr 29, 2022 $0.500 $0.520 $0.480 $0.508 120 667
Apr 28, 2022 $0.483 $0.498 $0.471 $0.485 26 309
Apr 27, 2022 $0.520 $0.520 $0.456 $0.498 153 573
Apr 26, 2022 $0.560 $0.560 $0.520 $0.521 129 557
Apr 25, 2022 $0.567 $0.567 $0.520 $0.540 72 493
Apr 22, 2022 $0.610 $0.619 $0.520 $0.577 31 780
Apr 21, 2022 $0.610 $0.620 $0.600 $0.610 19 600
Apr 20, 2022 $0.600 $0.630 $0.600 $0.610 80 600
Apr 19, 2022 $0.610 $0.630 $0.600 $0.600 28 900
Apr 18, 2022 $0.580 $0.630 $0.580 $0.620 85 500

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.

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.

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.

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.
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About ChinaNet Online Holdings

ZW Data Action Technologies Inc., through its subsidiaries, provides omni-channel advertising, precision marketing, and data analysis management systems in the People's Republic of China. It offers Internet advertising, precision marketing, and related data services through its Internet portals, including 28.com and liansuo.com that provide advertisers with tools to build sales channels in the form of franchisees, sales agents, distributors, and/... CNET Profile

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