Guangdong Chaohua Technology Co.,Ltd Stock Price (Quote)
¥1.46
-0.0800 (-5.19%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.46 | ¥2.78 | Friday, 17th May 2024 002288.SZ stock ended at ¥1.46. This is 5.19% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 29.45% from a day low at ¥1.46 to a day high of ¥1.89. |
90 days | ¥1.46 | ¥3.25 | |
52 weeks | ¥1.46 | ¥4.86 |
Date | Open | High | Low | Close | Volume |
Oct 06, 2023 | ¥4.42 | ¥4.42 | ¥4.42 | ¥4.42 | 0 |
Sep 28, 2023 | ¥4.25 | ¥4.44 | ¥4.25 | ¥4.42 | 11 611 400 |
Sep 27, 2023 | ¥4.31 | ¥4.32 | ¥4.23 | ¥4.24 | 6 803 200 |
Sep 26, 2023 | ¥4.33 | ¥4.34 | ¥4.27 | ¥4.30 | 6 716 000 |
Sep 25, 2023 | ¥4.45 | ¥4.45 | ¥4.31 | ¥4.36 | 9 070 600 |
Sep 22, 2023 | ¥4.31 | ¥4.43 | ¥4.29 | ¥4.42 | 7 050 795 |
Sep 21, 2023 | ¥4.32 | ¥4.36 | ¥4.30 | ¥4.34 | 5 849 408 |
Sep 20, 2023 | ¥4.36 | ¥4.40 | ¥4.32 | ¥4.32 | 7 407 100 |
Sep 19, 2023 | ¥4.37 | ¥4.39 | ¥4.33 | ¥4.35 | 8 381 900 |
Sep 18, 2023 | ¥4.41 | ¥4.46 | ¥4.38 | ¥4.43 | 6 891 000 |
Sep 15, 2023 | ¥4.39 | ¥4.47 | ¥4.38 | ¥4.42 | 6 742 600 |
Sep 14, 2023 | ¥4.42 | ¥4.47 | ¥4.38 | ¥4.41 | 10 209 500 |
Sep 13, 2023 | ¥4.43 | ¥4.49 | ¥4.39 | ¥4.43 | 9 351 200 |
Sep 12, 2023 | ¥4.52 | ¥4.52 | ¥4.46 | ¥4.49 | 6 768 700 |
Sep 11, 2023 | ¥4.52 | ¥4.54 | ¥4.48 | ¥4.50 | 8 826 702 |
Sep 08, 2023 | ¥4.44 | ¥4.54 | ¥4.44 | ¥4.51 | 9 009 100 |
Sep 07, 2023 | ¥4.53 | ¥4.56 | ¥4.46 | ¥4.47 | 14 109 686 |
Sep 06, 2023 | ¥4.45 | ¥4.59 | ¥4.42 | ¥4.56 | 16 930 051 |
Sep 05, 2023 | ¥4.42 | ¥4.50 | ¥4.40 | ¥4.47 | 11 570 827 |
Sep 04, 2023 | ¥4.36 | ¥4.43 | ¥4.34 | ¥4.42 | 8 374 000 |
Sep 01, 2023 | ¥4.42 | ¥4.42 | ¥4.31 | ¥4.35 | 9 630 799 |
Aug 31, 2023 | ¥4.43 | ¥4.44 | ¥4.34 | ¥4.39 | 12 054 333 |
Aug 30, 2023 | ¥4.25 | ¥4.40 | ¥4.24 | ¥4.38 | 17 167 532 |
Aug 29, 2023 | ¥4.10 | ¥4.26 | ¥4.09 | ¥4.25 | 8 983 439 |
Aug 28, 2023 | ¥4.20 | ¥4.30 | ¥4.10 | ¥4.11 | 13 153 701 |
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 002288.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002288.SZ 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 002288.SZ 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.