SZCE:000582
Beibu Gulf Port Co Ltd Stock Price (Quote)
¥8.08
+0.0300 (+0.373%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.95 | ¥8.40 | Friday, 17th May 2024 000582.SZ stock ended at ¥8.08. This is 0.373% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.63% from a day low at ¥7.98 to a day high of ¥8.27. |
90 days | ¥7.40 | ¥8.40 | |
52 weeks | ¥6.72 | ¥8.40 |
Date | Open | High | Low | Close | Volume |
Jul 21, 2023 | ¥8.06 | ¥8.14 | ¥8.02 | ¥8.10 | 8 038 850 |
Jul 20, 2023 | ¥8.20 | ¥8.22 | ¥8.03 | ¥8.04 | 9 407 864 |
Jul 19, 2023 | ¥8.05 | ¥8.19 | ¥8.03 | ¥8.17 | 11 024 790 |
Jul 18, 2023 | ¥7.93 | ¥8.12 | ¥7.88 | ¥8.05 | 14 678 835 |
Jul 17, 2023 | ¥7.80 | ¥7.87 | ¥7.78 | ¥7.87 | 4 403 330 |
Jul 14, 2023 | ¥7.77 | ¥7.91 | ¥7.74 | ¥7.85 | 8 599 141 |
Jul 13, 2023 | ¥7.71 | ¥7.94 | ¥7.70 | ¥7.83 | 11 600 109 |
Jul 12, 2023 | ¥7.82 | ¥7.82 | ¥7.67 | ¥7.69 | 6 984 218 |
Jul 11, 2023 | ¥7.82 | ¥7.84 | ¥7.75 | ¥7.83 | 4 792 720 |
Jul 10, 2023 | ¥7.77 | ¥7.81 | ¥7.72 | ¥7.79 | 6 550 885 |
Jul 07, 2023 | ¥7.67 | ¥7.77 | ¥7.67 | ¥7.75 | 5 801 214 |
Jul 06, 2023 | ¥7.64 | ¥7.74 | ¥7.64 | ¥7.70 | 5 652 956 |
Jul 05, 2023 | ¥7.64 | ¥7.72 | ¥7.60 | ¥7.66 | 7 853 679 |
Jul 04, 2023 | ¥7.65 | ¥7.67 | ¥7.59 | ¥7.62 | 6 876 768 |
Jul 03, 2023 | ¥7.60 | ¥7.68 | ¥7.58 | ¥7.67 | 6 258 258 |
Jun 30, 2023 | ¥7.56 | ¥7.62 | ¥7.52 | ¥7.60 | 5 550 022 |
Jun 29, 2023 | ¥7.57 | ¥7.59 | ¥7.53 | ¥7.55 | 4 320 579 |
Jun 28, 2023 | ¥7.56 | ¥7.62 | ¥7.44 | ¥7.60 | 6 643 004 |
Jun 27, 2023 | ¥7.40 | ¥7.56 | ¥7.37 | ¥7.54 | 8 524 689 |
Jun 26, 2023 | ¥7.40 | ¥7.43 | ¥7.29 | ¥7.36 | 8 973 367 |
Jun 21, 2023 | ¥7.41 | ¥7.50 | ¥7.41 | ¥7.43 | 8 592 786 |
Jun 20, 2023 | ¥7.67 | ¥7.71 | ¥7.41 | ¥7.42 | 17 722 842 |
Jun 19, 2023 | ¥7.88 | ¥7.88 | ¥7.69 | ¥7.70 | 10 635 351 |
Jun 16, 2023 | ¥7.84 | ¥7.93 | ¥7.82 | ¥7.88 | 11 279 240 |
Jun 15, 2023 | ¥7.84 | ¥7.90 | ¥7.77 | ¥7.84 | 7 783 610 |
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 000582.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000582.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 000582.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.