SZCE:002569
Zhejiang Busen Garments Co Ltd Stock Price (Quote)
¥6.00
+0.1000 (+1.69%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.20 | ¥6.27 | Friday, 17th May 2024 002569.SZ stock ended at ¥6.00. This is 1.69% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 17.12% from a day low at ¥5.20 to a day high of ¥6.09. |
90 days | ¥4.20 | ¥6.46 | |
52 weeks | ¥4.20 | ¥9.25 |
Date | Open | High | Low | Close | Volume |
Feb 11, 2022 | ¥7.75 | ¥7.77 | ¥7.53 | ¥7.55 | 1 120 000 |
Feb 10, 2022 | ¥7.79 | ¥7.83 | ¥7.73 | ¥7.79 | 641 600 |
Feb 09, 2022 | ¥7.66 | ¥7.86 | ¥7.64 | ¥7.78 | 1 146 330 |
Feb 08, 2022 | ¥7.60 | ¥7.69 | ¥7.58 | ¥7.64 | 870 199 |
Feb 07, 2022 | ¥7.67 | ¥7.72 | ¥7.60 | ¥7.62 | 1 809 599 |
Feb 05, 2022 | ¥7.35 | ¥7.35 | ¥7.35 | ¥7.35 | 0 |
Jan 28, 2022 | ¥7.18 | ¥7.41 | ¥7.16 | ¥7.35 | 2 327 100 |
Jan 27, 2022 | ¥7.43 | ¥7.43 | ¥7.10 | ¥7.15 | 922 200 |
Jan 26, 2022 | ¥7.27 | ¥7.45 | ¥7.27 | ¥7.42 | 630 972 |
Jan 25, 2022 | ¥7.56 | ¥7.59 | ¥7.21 | ¥7.22 | 1 088 200 |
Jan 24, 2022 | ¥7.57 | ¥7.65 | ¥7.53 | ¥7.57 | 506 172 |
Jan 21, 2022 | ¥7.54 | ¥7.60 | ¥7.43 | ¥7.57 | 841 900 |
Jan 20, 2022 | ¥7.76 | ¥7.83 | ¥7.57 | ¥7.59 | 892 056 |
Jan 19, 2022 | ¥7.85 | ¥7.86 | ¥7.66 | ¥7.76 | 1 873 228 |
Jan 18, 2022 | ¥8.05 | ¥8.09 | ¥7.83 | ¥7.96 | 1 797 800 |
Jan 17, 2022 | ¥8.10 | ¥8.13 | ¥8.03 | ¥8.07 | 1 059 200 |
Jan 14, 2022 | ¥8.20 | ¥8.30 | ¥8.07 | ¥8.11 | 1 795 532 |
Jan 13, 2022 | ¥8.17 | ¥8.29 | ¥8.15 | ¥8.22 | 1 649 132 |
Jan 12, 2022 | ¥8.18 | ¥8.20 | ¥8.11 | ¥8.17 | 1 324 302 |
Jan 11, 2022 | ¥8.15 | ¥8.24 | ¥8.08 | ¥8.16 | 1 610 500 |
Jan 10, 2022 | ¥8.09 | ¥8.19 | ¥8.03 | ¥8.16 | 885 200 |
Jan 07, 2022 | ¥8.24 | ¥8.25 | ¥8.07 | ¥8.08 | 1 268 651 |
Jan 06, 2022 | ¥8.10 | ¥8.25 | ¥8.09 | ¥8.24 | 1 480 902 |
Jan 05, 2022 | ¥8.07 | ¥8.12 | ¥8.02 | ¥8.09 | 1 569 858 |
Jan 04, 2022 | ¥7.96 | ¥8.13 | ¥7.95 | ¥8.07 | 1 790 606 |
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 002569.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002569.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 002569.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.