¥22.68
+0.220 (+0.98%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥22.05 | ¥23.66 | Tuesday, 18th Nov 2025 300031.SZ stock ended at ¥22.68. This is 0.98% more than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.56% from a day low at ¥22.28 to a day high of ¥22.85. |
| 90 days | ¥22.05 | ¥28.08 | |
| 52 weeks | ¥16.31 | ¥40.30 |
Historical Wuxi Boton Technology Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥22.40 | ¥22.85 | ¥22.28 | ¥22.68 | 8 558 599 |
| Nov 17, 2025 | ¥22.40 | ¥22.57 | ¥22.10 | ¥22.46 | 5 769 786 |
| Nov 14, 2025 | ¥22.93 | ¥22.93 | ¥22.22 | ¥22.22 | 6 274 175 |
| Nov 13, 2025 | ¥22.50 | ¥22.63 | ¥22.33 | ¥22.57 | 5 958 272 |
| Nov 12, 2025 | ¥22.93 | ¥22.93 | ¥22.42 | ¥22.49 | 6 040 673 |
| Nov 11, 2025 | ¥22.83 | ¥23.03 | ¥22.66 | ¥22.73 | 6 300 151 |
| Nov 10, 2025 | ¥22.93 | ¥23.03 | ¥22.76 | ¥22.85 | 5 791 200 |
| Nov 07, 2025 | ¥22.90 | ¥23.04 | ¥22.75 | ¥22.75 | 7 348 254 |
| Nov 06, 2025 | ¥22.90 | ¥23.25 | ¥22.90 | ¥23.06 | 7 810 822 |
| Nov 05, 2025 | ¥22.90 | ¥23.38 | ¥22.77 | ¥23.17 | 8 350 135 |
| Nov 04, 2025 | ¥22.90 | ¥23.65 | ¥22.90 | ¥23.40 | 7 521 403 |
| Nov 03, 2025 | ¥23.41 | ¥23.64 | ¥23.25 | ¥23.57 | 10 687 066 |
| Oct 31, 2025 | ¥22.47 | ¥23.46 | ¥22.47 | ¥23.29 | 8 406 782 |
| Oct 30, 2025 | ¥23.46 | ¥23.46 | ¥22.47 | ¥22.86 | 8 999 955 |
| Oct 29, 2025 | ¥22.47 | ¥23.66 | ¥22.47 | ¥23.29 | 10 385 583 |
| Oct 28, 2025 | ¥22.47 | ¥23.21 | ¥22.47 | ¥23.19 | 11 739 200 |
| Oct 27, 2025 | ¥22.95 | ¥23.00 | ¥22.47 | ¥22.76 | 8 888 960 |
| Oct 24, 2025 | ¥22.94 | ¥22.94 | ¥22.45 | ¥22.70 | 7 419 161 |
| Oct 23, 2025 | ¥22.94 | ¥22.94 | ¥22.05 | ¥22.53 | 8 417 268 |
| Oct 22, 2025 | ¥22.94 | ¥22.94 | ¥22.24 | ¥22.30 | 6 899 013 |
| Oct 21, 2025 | ¥22.94 | ¥22.94 | ¥22.31 | ¥22.43 | 9 410 880 |
| Oct 20, 2025 | ¥22.80 | ¥22.94 | ¥22.26 | ¥22.37 | 6 396 411 |
| Oct 17, 2025 | ¥24.70 | ¥24.70 | ¥22.20 | ¥22.20 | 10 049 796 |
| Oct 16, 2025 | ¥24.70 | ¥24.70 | ¥22.92 | ¥22.99 | 8 482 717 |
| Oct 15, 2025 | ¥24.70 | ¥24.70 | ¥22.85 | ¥23.51 | 8 727 061 |
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 300031.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300031.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 300031.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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