SZCE:301236
Isoftstone Information Technology (group) . Stock Price (Quote)
Buy 301236
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¥40.51
+0.760 (+1.91%)
At Close: Jun 15, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥32.88 | ¥46.82 | Monday, 15th Jun 2026 301236.SZ stock ended at ¥40.51. This is 1.91% more than the trading day before Friday, 12th Jun 2026. During the day the stock fluctuated 5.56% from a day low at ¥39.41 to a day high of ¥41.60. |
| 90 days | ¥32.88 | ¥46.82 | |
| 52 weeks | ¥32.88 | ¥65.50 |
Historical Isoftstone Information Technology (group) Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 15, 2026 | ¥40.00 | ¥41.60 | ¥39.41 | ¥40.51 | 30 823 292 |
| Jun 12, 2026 | ¥43.30 | ¥43.30 | ¥39.72 | ¥39.75 | 49 353 725 |
| Jun 11, 2026 | ¥43.30 | ¥44.04 | ¥40.86 | ¥41.13 | 57 767 732 |
| Jun 10, 2026 | ¥43.60 | ¥46.00 | ¥43.30 | ¥43.91 | 56 456 231 |
| Jun 09, 2026 | ¥41.24 | ¥46.82 | ¥41.24 | ¥44.76 | 77 869 405 |
| Jun 08, 2026 | ¥40.58 | ¥44.50 | ¥40.51 | ¥43.53 | 72 982 103 |
| Jun 05, 2026 | ¥35.51 | ¥43.86 | ¥35.51 | ¥41.80 | 55 830 571 |
| Jun 04, 2026 | ¥35.51 | ¥42.95 | ¥35.51 | ¥41.58 | 50 725 978 |
| Jun 03, 2026 | ¥35.51 | ¥43.60 | ¥35.51 | ¥43.59 | 81 648 019 |
| Jun 02, 2026 | ¥35.51 | ¥43.91 | ¥35.51 | ¥42.40 | 101 928 168 |
| Jun 01, 2026 | ¥34.35 | ¥39.65 | ¥34.31 | ¥39.65 | 37 941 660 |
| May 29, 2026 | ¥38.33 | ¥38.33 | ¥32.88 | ¥33.04 | 26 003 995 |
| May 28, 2026 | ¥38.33 | ¥38.33 | ¥34.01 | ¥35.27 | 31 808 669 |
| May 27, 2026 | ¥38.33 | ¥38.33 | ¥36.45 | ¥36.50 | 22 887 556 |
| May 26, 2026 | ¥38.33 | ¥40.40 | ¥37.89 | ¥38.45 | 23 851 574 |
| May 25, 2026 | ¥38.93 | ¥39.77 | ¥38.25 | ¥39.42 | 21 854 750 |
| May 22, 2026 | ¥38.33 | ¥38.89 | ¥37.88 | ¥38.55 | 16 144 257 |
| May 21, 2026 | ¥40.23 | ¥40.76 | ¥38.04 | ¥38.12 | 23 923 668 |
| May 20, 2026 | ¥40.81 | ¥41.16 | ¥39.95 | ¥39.99 | 18 653 357 |
| May 19, 2026 | ¥40.26 | ¥41.15 | ¥39.73 | ¥41.05 | 24 604 225 |
| May 18, 2026 | ¥38.99 | ¥41.17 | ¥38.99 | ¥40.16 | 22 016 989 |
| May 15, 2026 | ¥39.61 | ¥40.30 | ¥39.19 | ¥39.58 | 21 180 798 |
| May 14, 2026 | ¥42.21 | ¥42.21 | ¥39.50 | ¥39.50 | 26 123 210 |
| May 13, 2026 | ¥41.18 | ¥42.28 | ¥40.95 | ¥41.91 | 16 937 268 |
| May 12, 2026 | ¥42.42 | ¥42.60 | ¥41.30 | ¥41.42 | 18 141 577 |
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 301236.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 301236.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 301236.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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