SZCE:300139
Beijing Xiaocheng Technology Stock . Stock Price (Quote)
Buy 300139
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¥23.44
-0.500 (-2.09%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥23.14 | ¥29.40 | Tuesday, 18th Nov 2025 300139.SZ stock ended at ¥23.44. This is 2.09% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 5.29% from a day low at ¥23.27 to a day high of ¥24.50. |
| 90 days | ¥18.69 | ¥31.95 | |
| 52 weeks | ¥13.00 | ¥31.95 |
Historical Beijing XIAOCHENG Technology Stock Co., Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ¥23.71 | ¥24.50 | ¥23.27 | ¥23.44 | 15 548 570 |
| Nov 17, 2025 | ¥23.91 | ¥24.50 | ¥23.70 | ¥23.94 | 20 356 004 |
| Nov 14, 2025 | ¥24.50 | ¥25.27 | ¥24.04 | ¥24.53 | 26 115 289 |
| Nov 13, 2025 | ¥24.87 | ¥25.40 | ¥24.04 | ¥25.15 | 35 302 198 |
| Nov 12, 2025 | ¥24.04 | ¥25.20 | ¥24.04 | ¥24.31 | 27 524 684 |
| Nov 11, 2025 | ¥25.67 | ¥25.98 | ¥24.04 | ¥25.07 | 39 467 386 |
| Nov 10, 2025 | ¥24.04 | ¥25.13 | ¥24.04 | ¥25.04 | 36 109 530 |
| Nov 07, 2025 | ¥25.18 | ¥25.18 | ¥23.94 | ¥24.00 | 15 489 908 |
| Nov 06, 2025 | ¥25.18 | ¥25.18 | ¥23.71 | ¥24.09 | 14 771 700 |
| Nov 05, 2025 | ¥23.18 | ¥25.18 | ¥23.14 | ¥24.05 | 21 158 375 |
| Nov 04, 2025 | ¥25.18 | ¥25.18 | ¥23.45 | ¥23.62 | 19 418 129 |
| Nov 03, 2025 | ¥24.00 | ¥24.49 | ¥23.30 | ¥24.45 | 27 570 981 |
| Oct 31, 2025 | ¥25.18 | ¥25.46 | ¥24.51 | ¥24.55 | 30 753 499 |
| Oct 30, 2025 | ¥24.90 | ¥25.20 | ¥24.30 | ¥24.78 | 39 011 674 |
| Oct 29, 2025 | ¥24.90 | ¥25.54 | ¥24.60 | ¥25.54 | 41 216 052 |
| Oct 28, 2025 | ¥24.90 | ¥24.95 | ¥24.39 | ¥24.58 | 29 202 296 |
| Oct 27, 2025 | ¥24.35 | ¥25.33 | ¥24.35 | ¥25.26 | 32 788 377 |
| Oct 24, 2025 | ¥29.40 | ¥29.40 | ¥24.35 | ¥24.79 | 35 338 963 |
| Oct 23, 2025 | ¥29.40 | ¥29.40 | ¥23.87 | ¥25.02 | 34 650 352 |
| Oct 22, 2025 | ¥29.40 | ¥29.40 | ¥23.85 | ¥24.87 | 40 685 180 |
| Oct 21, 2025 | ¥29.40 | ¥29.40 | ¥26.03 | ¥26.50 | 38 330 209 |
| Oct 20, 2025 | ¥26.77 | ¥27.04 | ¥26.00 | ¥26.23 | 55 856 483 |
| Oct 17, 2025 | ¥28.88 | ¥29.93 | ¥28.51 | ¥28.78 | 62 637 562 |
| Oct 16, 2025 | ¥28.88 | ¥29.66 | ¥27.60 | ¥27.94 | 46 431 287 |
| Oct 15, 2025 | ¥28.88 | ¥30.09 | ¥28.15 | ¥29.05 | 47 001 232 |
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 300139.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300139.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 300139.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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