SZCE:002227
Shenzhen Auto Electric Pwr Plnt Co Ltd Stock Price (Quote)
¥8.64
+0.130 (+1.53%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥8.34 | ¥9.39 | Friday, 24th May 2024 002227.SZ stock ended at ¥8.64. This is 1.53% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.26% from a day low at ¥8.45 to a day high of ¥8.81. |
90 days | ¥7.65 | ¥11.17 | |
52 weeks | ¥6.13 | ¥15.29 |
Date | Open | High | Low | Close | Volume |
Mar 08, 2024 | ¥9.01 | ¥9.11 | ¥8.80 | ¥9.03 | 4 746 500 |
Mar 07, 2024 | ¥9.35 | ¥9.45 | ¥8.95 | ¥9.01 | 7 972 700 |
Mar 06, 2024 | ¥9.20 | ¥9.60 | ¥9.03 | ¥9.44 | 10 720 540 |
Mar 05, 2024 | ¥9.76 | ¥9.93 | ¥9.20 | ¥9.30 | 16 617 900 |
Mar 04, 2024 | ¥9.96 | ¥10.51 | ¥9.94 | ¥9.96 | 20 903 100 |
Mar 01, 2024 | ¥8.69 | ¥9.55 | ¥8.65 | ¥9.55 | 5 932 501 |
Feb 29, 2024 | ¥8.19 | ¥8.69 | ¥8.12 | ¥8.68 | 6 960 598 |
Feb 28, 2024 | ¥9.33 | ¥9.55 | ¥8.38 | ¥8.42 | 9 440 206 |
Feb 27, 2024 | ¥8.75 | ¥9.32 | ¥8.66 | ¥9.31 | 4 915 895 |
Feb 26, 2024 | ¥8.50 | ¥9.09 | ¥8.50 | ¥8.79 | 6 612 676 |
Feb 23, 2024 | ¥8.20 | ¥8.47 | ¥8.10 | ¥8.45 | 4 437 700 |
Feb 22, 2024 | ¥7.86 | ¥8.12 | ¥7.77 | ¥8.12 | 5 087 300 |
Feb 21, 2024 | ¥7.49 | ¥8.05 | ¥7.41 | ¥7.80 | 7 153 575 |
Feb 20, 2024 | ¥7.52 | ¥7.56 | ¥7.18 | ¥7.53 | 4 566 476 |
Feb 19, 2024 | ¥7.14 | ¥7.73 | ¥7.09 | ¥7.52 | 8 867 697 |
Feb 17, 2024 | ¥7.10 | ¥7.10 | ¥7.10 | ¥7.10 | 0 |
Feb 09, 2024 | ¥7.10 | ¥7.10 | ¥7.10 | ¥7.10 | 0 |
Feb 08, 2024 | ¥6.40 | ¥7.26 | ¥6.13 | ¥7.10 | 10 326 914 |
Feb 07, 2024 | ¥7.55 | ¥7.60 | ¥6.80 | ¥6.80 | 8 246 401 |
Feb 06, 2024 | ¥7.51 | ¥7.97 | ¥7.51 | ¥7.56 | 8 425 600 |
Feb 05, 2024 | ¥8.95 | ¥9.18 | ¥8.34 | ¥8.34 | 2 225 800 |
Feb 02, 2024 | ¥9.38 | ¥9.73 | ¥9.06 | ¥9.27 | 5 365 300 |
Feb 01, 2024 | ¥9.56 | ¥9.58 | ¥9.04 | ¥9.55 | 4 179 602 |
Jan 31, 2024 | ¥10.44 | ¥10.44 | ¥9.48 | ¥9.57 | 3 962 800 |
Jan 30, 2024 | ¥10.68 | ¥10.89 | ¥10.39 | ¥10.42 | 2 012 500 |
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 002227.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002227.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 002227.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.