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 |
Apr 09, 2024 | ¥6.16 | ¥6.16 | ¥6.05 | ¥6.13 | 435 500 |
Apr 08, 2024 | ¥6.36 | ¥6.36 | ¥6.14 | ¥6.21 | 527 400 |
Apr 03, 2024 | ¥6.36 | ¥6.44 | ¥6.33 | ¥6.35 | 251 600 |
Apr 02, 2024 | ¥6.20 | ¥6.43 | ¥6.20 | ¥6.42 | 395 601 |
Apr 01, 2024 | ¥6.20 | ¥6.44 | ¥6.20 | ¥6.43 | 334 400 |
Mar 29, 2024 | ¥6.20 | ¥6.40 | ¥6.12 | ¥6.40 | 507 660 |
Mar 28, 2024 | ¥6.16 | ¥6.25 | ¥6.06 | ¥6.24 | 715 294 |
Mar 27, 2024 | ¥6.16 | ¥6.16 | ¥6.00 | ¥6.15 | 729 700 |
Mar 26, 2024 | ¥5.94 | ¥6.11 | ¥5.92 | ¥6.09 | 424 912 |
Mar 25, 2024 | ¥5.98 | ¥6.00 | ¥5.91 | ¥5.95 | 500 866 |
Mar 22, 2024 | ¥6.08 | ¥6.08 | ¥5.98 | ¥5.98 | 358 900 |
Mar 21, 2024 | ¥6.08 | ¥6.19 | ¥5.88 | ¥6.13 | 1 058 201 |
Mar 20, 2024 | ¥6.09 | ¥6.09 | ¥6.03 | ¥6.05 | 523 401 |
Mar 19, 2024 | ¥6.14 | ¥6.14 | ¥6.05 | ¥6.08 | 392 200 |
Mar 18, 2024 | ¥6.14 | ¥6.19 | ¥6.11 | ¥6.13 | 352 000 |
Mar 15, 2024 | ¥6.30 | ¥6.30 | ¥6.07 | ¥6.12 | 771 200 |
Mar 14, 2024 | ¥6.46 | ¥6.46 | ¥6.17 | ¥6.24 | 537 700 |
Mar 13, 2024 | ¥6.29 | ¥6.44 | ¥6.24 | ¥6.40 | 574 800 |
Mar 12, 2024 | ¥6.28 | ¥6.34 | ¥6.11 | ¥6.30 | 631 000 |
Mar 11, 2024 | ¥5.80 | ¥6.14 | ¥5.75 | ¥6.14 | 850 400 |
Mar 08, 2024 | ¥5.69 | ¥5.87 | ¥5.64 | ¥5.85 | 752 300 |
Mar 07, 2024 | ¥5.76 | ¥5.76 | ¥5.60 | ¥5.72 | 729 150 |
Mar 06, 2024 | ¥5.79 | ¥5.87 | ¥5.64 | ¥5.73 | 544 100 |
Mar 05, 2024 | ¥5.85 | ¥5.92 | ¥5.68 | ¥5.73 | 787 900 |
Mar 04, 2024 | ¥6.01 | ¥6.16 | ¥5.72 | ¥5.80 | 2 485 200 |
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.