SZCE:001285
Guangzhou Ruili Kormee Automotive Electronic . Stock Price (Quote)
Buy 001285
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¥42.35
+0.660 (+1.58%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥38.70 | ¥43.20 | Monday, 10th Aug 2026 001285.SZ stock ended at ¥42.35. This is 1.58% more than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 2.49% from a day low at ¥41.70 to a day high of ¥42.74. |
| 90 days | ¥38.70 | ¥54.22 | |
| 52 weeks | ¥38.70 | ¥79.80 |
Historical Guangzhou Ruili Kormee Automotive Electronic Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ¥41.86 | ¥42.74 | ¥41.70 | ¥42.35 | 978 932 |
| Aug 07, 2026 | ¥42.80 | ¥42.80 | ¥41.17 | ¥41.69 | 867 942 |
| Aug 06, 2026 | ¥42.80 | ¥42.80 | ¥41.42 | ¥41.91 | 1 097 077 |
| Aug 05, 2026 | ¥42.39 | ¥43.20 | ¥42.20 | ¥42.39 | 0 |
| Aug 04, 2026 | ¥42.80 | ¥43.00 | ¥42.21 | ¥42.51 | 0 |
| Aug 03, 2026 | ¥41.10 | ¥42.99 | ¥40.54 | ¥42.78 | 1 918 813 |
| Jul 31, 2026 | ¥39.51 | ¥41.68 | ¥39.51 | ¥41.41 | 1 606 826 |
| Jul 30, 2026 | ¥39.51 | ¥41.13 | ¥39.51 | ¥40.79 | 1 383 180 |
| Jul 29, 2026 | ¥39.88 | ¥40.43 | ¥39.51 | ¥40.23 | 1 070 835 |
| Jul 28, 2026 | ¥39.51 | ¥40.29 | ¥39.51 | ¥39.77 | 601 257 |
| Jul 27, 2026 | ¥39.12 | ¥39.96 | ¥39.12 | ¥39.91 | 579 740 |
| Jul 24, 2026 | ¥39.56 | ¥39.89 | ¥39.13 | ¥39.33 | 547 898 |
| Jul 23, 2026 | ¥39.56 | ¥40.10 | ¥38.99 | ¥39.95 | 787 629 |
| Jul 22, 2026 | ¥39.56 | ¥39.83 | ¥39.08 | ¥39.10 | 836 095 |
| Jul 21, 2026 | ¥39.56 | ¥40.05 | ¥38.70 | ¥39.89 | 1 085 971 |
| Jul 20, 2026 | ¥39.83 | ¥40.81 | ¥39.13 | ¥39.56 | 858 717 |
| Jul 17, 2026 | ¥40.81 | ¥40.99 | ¥39.83 | ¥39.83 | 1 255 503 |
| Jul 16, 2026 | ¥40.30 | ¥40.83 | ¥40.00 | ¥40.52 | 769 705 |
| Jul 15, 2026 | ¥39.95 | ¥40.54 | ¥39.39 | ¥40.34 | 970 050 |
| Jul 14, 2026 | ¥39.95 | ¥39.95 | ¥38.87 | ¥39.52 | 701 966 |
| Jul 13, 2026 | ¥40.48 | ¥40.69 | ¥39.11 | ¥39.27 | 1 052 006 |
| Jul 10, 2026 | ¥42.77 | ¥42.77 | ¥39.68 | ¥40.90 | 1 138 877 |
| Jul 09, 2026 | ¥42.77 | ¥42.77 | ¥39.14 | ¥40.04 | 1 113 394 |
| Jul 08, 2026 | ¥40.81 | ¥41.36 | ¥40.21 | ¥40.23 | 950 858 |
| Jul 07, 2026 | ¥42.77 | ¥43.35 | ¥40.98 | ¥41.02 | 1 535 828 |
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 001285.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 001285.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 001285.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.
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