SZCE:002995
Beijing Quanshi World Online Network Information . Stock Price (Quote)
Buy 002995
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¥17.36
+0.760 (+4.58%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ¥13.70 | ¥19.68 | Friday, 31st Jul 2026 002995.SZ stock ended at ¥17.36. This is 4.58% more than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 17.50% from a day low at ¥15.20 to a day high of ¥17.86. |
| 90 days | ¥13.70 | ¥27.62 | |
| 52 weeks | ¥13.70 | ¥38.56 |
Historical Beijing Quanshi World Online Network Information Co., Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | ¥15.20 | ¥17.86 | ¥15.20 | ¥17.36 | 25 948 075 |
| Jul 30, 2026 | ¥15.20 | ¥17.98 | ¥15.20 | ¥16.60 | 22 385 591 |
| Jul 29, 2026 | ¥15.20 | ¥16.80 | ¥15.20 | ¥16.43 | 16 891 400 |
| Jul 28, 2026 | ¥15.20 | ¥16.97 | ¥15.03 | ¥16.97 | 9 567 930 |
| Jul 27, 2026 | ¥15.03 | ¥15.54 | ¥14.49 | ¥15.43 | 6 566 200 |
| Jul 24, 2026 | ¥16.29 | ¥16.29 | ¥14.60 | ¥14.65 | 4 321 900 |
| Jul 23, 2026 | ¥16.29 | ¥16.29 | ¥14.60 | ¥15.16 | 5 162 708 |
| Jul 22, 2026 | ¥16.29 | ¥16.29 | ¥14.68 | ¥14.83 | 6 365 900 |
| Jul 21, 2026 | ¥16.29 | ¥16.29 | ¥13.70 | ¥15.05 | 10 233 185 |
| Jul 20, 2026 | ¥15.39 | ¥15.82 | ¥14.57 | ¥14.98 | 9 246 040 |
| Jul 17, 2026 | ¥15.91 | ¥16.66 | ¥15.35 | ¥15.35 | 9 237 996 |
| Jul 16, 2026 | ¥15.91 | ¥16.55 | ¥15.80 | ¥16.30 | 8 018 500 |
| Jul 15, 2026 | ¥16.06 | ¥16.37 | ¥15.62 | ¥16.01 | 6 898 400 |
| Jul 14, 2026 | ¥15.66 | ¥15.86 | ¥15.15 | ¥15.80 | 6 785 700 |
| Jul 13, 2026 | ¥16.55 | ¥16.89 | ¥15.63 | ¥15.75 | 8 710 800 |
| Jul 10, 2026 | ¥19.28 | ¥19.28 | ¥15.94 | ¥16.78 | 12 929 200 |
| Jul 09, 2026 | ¥19.28 | ¥19.28 | ¥15.70 | ¥16.25 | 9 290 640 |
| Jul 08, 2026 | ¥16.19 | ¥19.28 | ¥15.87 | ¥16.10 | 7 920 337 |
| Jul 07, 2026 | ¥19.28 | ¥19.28 | ¥16.20 | ¥16.28 | 10 738 042 |
| Jul 06, 2026 | ¥17.48 | ¥19.28 | ¥16.88 | ¥16.88 | 15 302 960 |
| Jul 02, 2026 | ¥18.08 | ¥19.68 | ¥18.08 | ¥19.68 | 6 509 321 |
| Jul 01, 2026 | ¥18.08 | ¥18.23 | ¥17.33 | ¥17.89 | 7 484 700 |
| Jun 30, 2026 | ¥18.08 | ¥18.26 | ¥17.08 | ¥17.68 | 7 703 200 |
| Jun 29, 2026 | ¥18.08 | ¥18.08 | ¥17.04 | ¥17.30 | 7 011 200 |
| Jun 26, 2026 | ¥20.50 | ¥20.50 | ¥17.31 | ¥17.68 | 7 474 020 |
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 002995.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002995.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 002995.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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