SZCE:002328
Shanghai Xinpeng Industry Co Ltd Stock Price (Quote)
¥5.30
+0.0800 (+1.53%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.64 | ¥5.65 | Friday, 17th May 2024 002328.SZ stock ended at ¥5.30. This is 1.53% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.64% from a day low at ¥5.17 to a day high of ¥5.41. |
90 days | ¥4.64 | ¥5.65 | |
52 weeks | ¥4.00 | ¥6.78 |
Date | Open | High | Low | Close | Volume |
Oct 06, 2023 | ¥6.28 | ¥6.28 | ¥6.28 | ¥6.28 | 0 |
Sep 28, 2023 | ¥6.21 | ¥6.31 | ¥6.20 | ¥6.28 | 16 531 380 |
Sep 27, 2023 | ¥6.16 | ¥6.23 | ¥6.11 | ¥6.17 | 11 018 800 |
Sep 26, 2023 | ¥6.21 | ¥6.28 | ¥6.12 | ¥6.18 | 12 834 590 |
Sep 25, 2023 | ¥6.18 | ¥6.24 | ¥6.15 | ¥6.18 | 10 509 260 |
Sep 22, 2023 | ¥6.00 | ¥6.18 | ¥5.99 | ¥6.17 | 11 282 440 |
Sep 21, 2023 | ¥6.06 | ¥6.10 | ¥6.00 | ¥6.01 | 6 699 275 |
Sep 20, 2023 | ¥6.12 | ¥6.17 | ¥6.05 | ¥6.06 | 7 434 475 |
Sep 19, 2023 | ¥6.21 | ¥6.24 | ¥6.10 | ¥6.12 | 9 061 490 |
Sep 18, 2023 | ¥6.03 | ¥6.24 | ¥5.99 | ¥6.21 | 17 131 930 |
Sep 15, 2023 | ¥6.10 | ¥6.12 | ¥5.99 | ¥6.07 | 12 801 300 |
Sep 14, 2023 | ¥6.15 | ¥6.19 | ¥6.04 | ¥6.09 | 11 926 380 |
Sep 13, 2023 | ¥6.21 | ¥6.27 | ¥6.10 | ¥6.15 | 9 365 729 |
Sep 12, 2023 | ¥6.26 | ¥6.31 | ¥6.23 | ¥6.25 | 10 934 970 |
Sep 11, 2023 | ¥6.13 | ¥6.24 | ¥6.04 | ¥6.23 | 12 978 422 |
Sep 08, 2023 | ¥6.07 | ¥6.12 | ¥6.03 | ¥6.08 | 5 604 096 |
Sep 07, 2023 | ¥6.17 | ¥6.18 | ¥6.05 | ¥6.05 | 7 834 450 |
Sep 06, 2023 | ¥6.18 | ¥6.21 | ¥6.12 | ¥6.19 | 6 594 970 |
Sep 05, 2023 | ¥6.21 | ¥6.24 | ¥6.14 | ¥6.16 | 8 827 910 |
Sep 04, 2023 | ¥6.21 | ¥6.24 | ¥6.15 | ¥6.22 | 10 859 202 |
Sep 01, 2023 | ¥6.13 | ¥6.22 | ¥6.09 | ¥6.19 | 12 448 650 |
Aug 31, 2023 | ¥6.11 | ¥6.16 | ¥6.08 | ¥6.12 | 9 353 577 |
Aug 30, 2023 | ¥6.11 | ¥6.20 | ¥6.10 | ¥6.14 | 12 548 930 |
Aug 29, 2023 | ¥5.90 | ¥6.13 | ¥5.88 | ¥6.13 | 18 116 457 |
Aug 28, 2023 | ¥6.05 | ¥6.06 | ¥5.89 | ¥5.90 | 17 171 771 |
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 002328.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002328.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 002328.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.