¥10.93
-0.440 (-3.87%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥10.23 | ¥11.79 | Tuesday, 18th Nov 2025 002116.SZ stock ended at ¥10.93. This is 3.87% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 4.60% from a day low at ¥10.86 to a day high of ¥11.36. |
| 90 days | ¥9.71 | ¥11.79 | |
| 52 weeks | ¥8.98 | ¥11.79 |
Historical China Haisum Engineering Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥11.36 | ¥11.36 | ¥10.86 | ¥10.93 | 21 050 294 |
| Nov 17, 2025 | ¥11.36 | ¥11.44 | ¥11.24 | ¥11.37 | 21 869 800 |
| Nov 14, 2025 | ¥10.66 | ¥11.75 | ¥10.66 | ¥11.33 | 34 242 980 |
| Nov 13, 2025 | ¥11.48 | ¥11.55 | ¥10.66 | ¥11.48 | 62 141 913 |
| Nov 12, 2025 | ¥10.66 | ¥11.79 | ¥10.65 | ¥11.79 | 56 353 899 |
| Nov 11, 2025 | ¥10.81 | ¥10.81 | ¥10.70 | ¥10.72 | 3 789 000 |
| Nov 10, 2025 | ¥10.66 | ¥10.80 | ¥10.64 | ¥10.77 | 4 644 940 |
| Nov 07, 2025 | ¥10.42 | ¥10.80 | ¥10.42 | ¥10.69 | 4 814 468 |
| Nov 06, 2025 | ¥10.42 | ¥10.78 | ¥10.42 | ¥10.66 | 5 190 455 |
| Nov 05, 2025 | ¥10.42 | ¥10.75 | ¥10.42 | ¥10.73 | 4 717 600 |
| Nov 04, 2025 | ¥10.42 | ¥10.72 | ¥10.42 | ¥10.67 | 6 585 851 |
| Nov 03, 2025 | ¥10.50 | ¥10.60 | ¥10.42 | ¥10.60 | 5 068 451 |
| Oct 31, 2025 | ¥10.42 | ¥10.64 | ¥10.41 | ¥10.53 | 5 127 551 |
| Oct 30, 2025 | ¥10.64 | ¥10.64 | ¥10.43 | ¥10.44 | 5 938 700 |
| Oct 29, 2025 | ¥10.64 | ¥10.64 | ¥10.40 | ¥10.50 | 4 726 300 |
| Oct 28, 2025 | ¥10.64 | ¥10.64 | ¥10.42 | ¥10.51 | 4 214 600 |
| Oct 27, 2025 | ¥10.59 | ¥10.64 | ¥10.40 | ¥10.52 | 7 208 100 |
| Oct 24, 2025 | ¥10.37 | ¥10.69 | ¥10.37 | ¥10.56 | 6 801 000 |
| Oct 23, 2025 | ¥10.37 | ¥10.65 | ¥10.37 | ¥10.64 | 5 955 026 |
| Oct 22, 2025 | ¥10.37 | ¥10.70 | ¥10.37 | ¥10.57 | 8 147 043 |
| Oct 21, 2025 | ¥10.37 | ¥10.65 | ¥10.30 | ¥10.54 | 9 423 111 |
| Oct 20, 2025 | ¥10.33 | ¥10.38 | ¥10.23 | ¥10.30 | 3 260 300 |
| Oct 17, 2025 | ¥10.12 | ¥10.43 | ¥10.12 | ¥10.26 | 4 685 000 |
| Oct 16, 2025 | ¥10.12 | ¥10.48 | ¥10.12 | ¥10.40 | 7 805 899 |
| Oct 15, 2025 | ¥10.12 | ¥10.67 | ¥10.12 | ¥10.49 | 12 556 422 |
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 002116.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002116.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 002116.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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