¥32.86
-0.360 (-1.08%)
At Close: Jul 24, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥25.60 | ¥43.00 | Friday, 24th Jul 2026 301186.SZ stock ended at ¥32.86. This is 1.08% less than the trading day before Thursday, 23rd Jul 2026. During the day the stock fluctuated 3.78% from a day low at ¥32.55 to a day high of ¥33.78. |
| 90 days | ¥25.60 | ¥61.54 | |
| 52 weeks | ¥25.60 | ¥61.54 |
Historical Nantong Chaoda Equipment Co.,ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 24, 2026 | ¥33.60 | ¥33.78 | ¥32.55 | ¥32.86 | 1 721 562 |
| Jul 23, 2026 | ¥33.60 | ¥33.60 | ¥31.49 | ¥33.22 | 2 224 160 |
| Jul 22, 2026 | ¥33.60 | ¥33.60 | ¥29.70 | ¥31.59 | 3 077 431 |
| Jul 21, 2026 | ¥29.01 | ¥33.60 | ¥25.60 | ¥30.26 | 4 819 587 |
| Jul 20, 2026 | ¥31.80 | ¥33.60 | ¥28.02 | ¥29.08 | 3 843 761 |
| Jul 17, 2026 | ¥33.60 | ¥33.60 | ¥31.06 | ¥31.07 | 3 915 620 |
| Jul 16, 2026 | ¥32.50 | ¥33.70 | ¥32.50 | ¥33.69 | 1 931 946 |
| Jul 15, 2026 | ¥36.45 | ¥36.45 | ¥32.30 | ¥32.94 | 2 511 216 |
| Jul 14, 2026 | ¥36.45 | ¥36.75 | ¥30.43 | ¥33.27 | 4 442 377 |
| Jul 13, 2026 | ¥36.88 | ¥38.06 | ¥36.30 | ¥36.75 | 2 379 927 |
| Jul 10, 2026 | ¥38.12 | ¥38.12 | ¥36.02 | ¥36.25 | 1 414 785 |
| Jul 09, 2026 | ¥38.12 | ¥38.12 | ¥35.21 | ¥36.46 | 2 004 168 |
| Jul 08, 2026 | ¥38.01 | ¥38.35 | ¥36.73 | ¥36.81 | 1 690 389 |
| Jul 07, 2026 | ¥38.12 | ¥39.10 | ¥37.88 | ¥38.41 | 1 467 820 |
| Jul 06, 2026 | ¥38.77 | ¥39.47 | ¥37.81 | ¥37.97 | 1 870 089 |
| Jul 02, 2026 | ¥38.50 | ¥39.28 | ¥37.50 | ¥38.21 | 3 467 193 |
| Jul 01, 2026 | ¥38.50 | ¥41.89 | ¥37.68 | ¥37.96 | 5 311 596 |
| Jun 30, 2026 | ¥38.50 | ¥42.95 | ¥38.50 | ¥41.00 | 4 175 968 |
| Jun 29, 2026 | ¥40.07 | ¥40.66 | ¥37.15 | ¥38.75 | 3 788 415 |
| Jun 26, 2026 | ¥43.00 | ¥43.00 | ¥36.99 | ¥39.99 | 3 484 634 |
| Jun 25, 2026 | ¥43.00 | ¥43.00 | ¥37.09 | ¥38.57 | 2 358 402 |
| Jun 24, 2026 | ¥43.00 | ¥43.00 | ¥38.22 | ¥38.67 | 1 351 859 |
| Jun 23, 2026 | ¥43.00 | ¥43.00 | ¥39.30 | ¥39.54 | 1 523 522 |
| Jun 22, 2026 | ¥41.00 | ¥43.00 | ¥39.20 | ¥40.77 | 2 914 096 |
| Jun 18, 2026 | ¥58.87 | ¥58.87 | ¥41.14 | ¥41.20 | 2 209 380 |
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 301186.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 301186.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 301186.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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