¥14.23
-0.0800 (-0.559%)
At Close: Jun 18, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥13.92 | ¥23.75 | Thursday, 18th Jun 2026 003001.SZ stock ended at ¥14.23. This is 0.559% less than the trading day before Wednesday, 17th Jun 2026. During the day the stock fluctuated 13.86% from a day low at ¥13.92 to a day high of ¥15.85. |
| 90 days | ¥13.92 | ¥23.75 | |
| 52 weeks | ¥13.92 | ¥37.45 |
Historical Zhongyan Technology Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 18, 2026 | ¥15.85 | ¥15.85 | ¥13.92 | ¥14.23 | 4 110 891 |
| Jun 17, 2026 | ¥15.85 | ¥15.85 | ¥14.19 | ¥14.31 | 6 355 441 |
| Jun 16, 2026 | ¥15.85 | ¥15.85 | ¥14.40 | ¥15.25 | 7 836 327 |
| Jun 15, 2026 | ¥15.82 | ¥16.14 | ¥14.57 | ¥14.69 | 9 689 720 |
| Jun 12, 2026 | ¥16.96 | ¥16.96 | ¥15.42 | ¥15.82 | 4 602 281 |
| Jun 11, 2026 | ¥16.96 | ¥16.96 | ¥15.50 | ¥15.82 | 4 013 100 |
| Jun 10, 2026 | ¥16.47 | ¥16.96 | ¥15.89 | ¥16.16 | 4 208 780 |
| Jun 09, 2026 | ¥16.96 | ¥17.06 | ¥16.42 | ¥16.66 | 4 140 696 |
| Jun 08, 2026 | ¥16.61 | ¥17.23 | ¥16.21 | ¥16.75 | 6 025 057 |
| Jun 05, 2026 | ¥19.15 | ¥19.15 | ¥16.51 | ¥16.98 | 7 978 254 |
| Jun 04, 2026 | ¥19.15 | ¥19.15 | ¥16.79 | ¥17.24 | 11 716 044 |
| Jun 03, 2026 | ¥19.15 | ¥19.15 | ¥16.72 | ¥16.90 | 4 274 683 |
| Jun 02, 2026 | ¥19.15 | ¥19.15 | ¥16.77 | ¥17.22 | 5 489 160 |
| Jun 01, 2026 | ¥18.06 | ¥19.15 | ¥17.81 | ¥17.91 | 4 887 648 |
| May 29, 2026 | ¥22.71 | ¥22.71 | ¥18.10 | ¥18.29 | 5 649 658 |
| May 28, 2026 | ¥22.71 | ¥22.71 | ¥18.75 | ¥19.16 | 5 801 786 |
| May 27, 2026 | ¥22.71 | ¥22.71 | ¥19.23 | ¥19.38 | 9 809 660 |
| May 26, 2026 | ¥22.71 | ¥22.71 | ¥20.24 | ¥20.42 | 7 920 192 |
| May 22, 2026 | ¥22.71 | ¥23.38 | ¥19.82 | ¥22.56 | 12 025 984 |
| May 21, 2026 | ¥19.82 | ¥23.75 | ¥19.82 | ¥22.65 | 15 452 650 |
| May 20, 2026 | ¥22.16 | ¥23.51 | ¥19.82 | ¥23.12 | 0 |
| May 19, 2026 | ¥20.61 | ¥22.50 | ¥20.38 | ¥22.16 | 20 459 431 |
| May 18, 2026 | ¥19.82 | ¥21.66 | ¥19.78 | ¥20.52 | 19 751 174 |
| May 15, 2026 | ¥18.17 | ¥20.39 | ¥18.17 | ¥19.69 | 9 664 542 |
| May 14, 2026 | ¥18.17 | ¥20.02 | ¥18.17 | ¥19.31 | 9 703 287 |
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 003001.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 003001.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 003001.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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