SZCE:000029
Shenzhen Special Economic Zone Real Estate & Properties (group) . Stock Price (Quote)
Buy 000029
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¥19.24
-0.710 (-3.56%)
At Close: Jul 24, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥19.10 | ¥28.85 | Friday, 24th Jul 2026 000029.SZ stock ended at ¥19.24. This is 3.56% less than the trading day before Thursday, 23rd Jul 2026. During the day the stock fluctuated 10.73% from a day low at ¥19.10 to a day high of ¥21.15. |
| 90 days | ¥19.10 | ¥31.11 | |
| 52 weeks | ¥17.70 | ¥34.00 |
Historical Shenzhen Special Economic Zone Real Estate & Properties (group) Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 24, 2026 | ¥21.15 | ¥21.15 | ¥19.10 | ¥19.24 | 4 841 977 |
| Jul 23, 2026 | ¥21.15 | ¥21.15 | ¥19.80 | ¥19.95 | 4 481 000 |
| Jul 22, 2026 | ¥21.15 | ¥21.15 | ¥19.87 | ¥20.05 | 6 466 300 |
| Jul 21, 2026 | ¥21.15 | ¥21.15 | ¥19.71 | ¥20.59 | 6 833 177 |
| Jul 20, 2026 | ¥21.20 | ¥21.63 | ¥20.18 | ¥20.45 | 6 826 114 |
| Jul 17, 2026 | ¥21.15 | ¥22.38 | ¥21.09 | ¥21.12 | 6 686 381 |
| Jul 16, 2026 | ¥21.78 | ¥21.78 | ¥21.06 | ¥21.37 | 5 560 300 |
| Jul 15, 2026 | ¥23.58 | ¥23.58 | ¥20.16 | ¥21.84 | 8 230 770 |
| Jul 14, 2026 | ¥23.58 | ¥23.58 | ¥21.01 | ¥21.32 | 5 924 082 |
| Jul 13, 2026 | ¥22.78 | ¥23.60 | ¥22.23 | ¥22.23 | 8 779 275 |
| Jul 10, 2026 | ¥21.73 | ¥24.56 | ¥21.73 | ¥22.62 | 9 043 306 |
| Jul 09, 2026 | ¥21.73 | ¥23.97 | ¥21.73 | ¥23.92 | 8 427 214 |
| Jul 08, 2026 | ¥22.29 | ¥22.58 | ¥21.96 | ¥22.11 | 4 112 940 |
| Jul 07, 2026 | ¥21.73 | ¥23.25 | ¥21.73 | ¥22.29 | 5 119 715 |
| Jul 06, 2026 | ¥22.68 | ¥23.18 | ¥22.50 | ¥22.94 | 5 702 067 |
| Jul 02, 2026 | ¥24.37 | ¥24.37 | ¥21.70 | ¥21.71 | 7 877 852 |
| Jul 01, 2026 | ¥24.37 | ¥24.37 | ¥21.85 | ¥22.50 | 10 507 347 |
| Jun 30, 2026 | ¥24.37 | ¥24.37 | ¥21.31 | ¥22.05 | 10 527 848 |
| Jun 29, 2026 | ¥24.20 | ¥24.37 | ¥22.03 | ¥22.06 | 11 230 899 |
| Jun 26, 2026 | ¥28.85 | ¥28.85 | ¥23.34 | ¥23.34 | 11 397 497 |
| Jun 25, 2026 | ¥28.85 | ¥28.85 | ¥23.82 | ¥24.05 | 15 785 677 |
| Jun 24, 2026 | ¥28.85 | ¥28.85 | ¥26.15 | ¥26.15 | 5 418 700 |
| Jun 23, 2026 | ¥28.85 | ¥30.05 | ¥28.85 | ¥29.05 | 9 628 680 |
| Jun 22, 2026 | ¥29.53 | ¥29.53 | ¥27.47 | ¥29.24 | 11 548 502 |
| Jun 18, 2026 | ¥25.43 | ¥29.35 | ¥25.43 | ¥29.23 | 9 876 370 |
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 000029.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000029.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 000029.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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