SZCE:001270
Zhejiang Chengchang Technology . Stock Price (Quote)
Buy 001270
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¥118.00
-0.380 (-0.321%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥87.88 | ¥165.11 | Monday, 10th Aug 2026 001270.SZ stock ended at ¥118.00. This is 0.321% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 6.18% from a day low at ¥113.49 to a day high of ¥120.50. |
| 90 days | ¥87.88 | ¥180.64 | |
| 52 weeks | ¥40.93 | ¥180.64 |
Historical Zhejiang Chengchang Technology Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ¥120.00 | ¥120.50 | ¥113.49 | ¥118.00 | 9 196 382 |
| Aug 07, 2026 | ¥102.03 | ¥118.88 | ¥102.03 | ¥118.38 | 9 696 846 |
| Aug 06, 2026 | ¥102.03 | ¥118.86 | ¥102.03 | ¥116.20 | 11 144 635 |
| Aug 05, 2026 | ¥114.42 | ¥116.79 | ¥114.42 | ¥114.42 | 0 |
| Aug 04, 2026 | ¥102.03 | ¥106.88 | ¥102.03 | ¥106.17 | 0 |
| Aug 03, 2026 | ¥91.95 | ¥101.82 | ¥91.95 | ¥99.90 | 13 378 449 |
| Jul 31, 2026 | ¥101.03 | ¥101.03 | ¥92.50 | ¥92.56 | 9 791 486 |
| Jul 30, 2026 | ¥101.03 | ¥101.03 | ¥87.88 | ¥88.05 | 8 664 967 |
| Jul 29, 2026 | ¥98.00 | ¥98.17 | ¥91.66 | ¥95.22 | 7 847 150 |
| Jul 28, 2026 | ¥101.03 | ¥102.80 | ¥95.01 | ¥95.99 | 7 878 648 |
| Jul 27, 2026 | ¥96.50 | ¥102.00 | ¥96.48 | ¥102.00 | 9 490 462 |
| Jul 24, 2026 | ¥120.00 | ¥120.00 | ¥96.62 | ¥96.67 | 8 692 723 |
| Jul 23, 2026 | ¥120.00 | ¥120.00 | ¥99.10 | ¥102.25 | 10 452 848 |
| Jul 22, 2026 | ¥120.00 | ¥120.00 | ¥99.18 | ¥100.11 | 12 308 335 |
| Jul 21, 2026 | ¥120.00 | ¥120.00 | ¥89.06 | ¥102.00 | 16 784 713 |
| Jul 20, 2026 | ¥105.21 | ¥120.00 | ¥98.95 | ¥98.95 | 12 576 670 |
| Jul 17, 2026 | ¥119.00 | ¥121.15 | ¥109.94 | ¥109.94 | 7 313 866 |
| Jul 16, 2026 | ¥119.00 | ¥128.87 | ¥118.27 | ¥122.16 | 12 373 282 |
| Jul 15, 2026 | ¥161.27 | ¥161.27 | ¥121.50 | ¥121.61 | 16 407 061 |
| Jul 14, 2026 | ¥141.00 | ¥144.07 | ¥134.70 | ¥134.70 | 8 936 300 |
| Jul 13, 2026 | ¥165.11 | ¥165.11 | ¥149.67 | ¥149.67 | 18 027 071 |
| Jul 10, 2026 | ¥150.84 | ¥180.64 | ¥150.84 | ¥166.30 | 23 500 541 |
| Jul 09, 2026 | ¥150.84 | ¥166.46 | ¥146.85 | ¥164.22 | 16 381 669 |
| Jul 08, 2026 | ¥150.84 | ¥167.80 | ¥150.84 | ¥151.33 | 17 573 595 |
| Jul 07, 2026 | ¥160.33 | ¥172.88 | ¥150.84 | ¥165.60 | 19 484 237 |
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 001270.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 001270.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 001270.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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