SZCE:002232
QiMing Information Technology Co., Ltd Stock Price (Quote)
¥12.38
+0.580 (+4.92%)
At Close: Jun 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥11.10 | ¥13.42 | Monday, 17th Jun 2024 002232.SZ stock ended at ¥12.38. This is 4.92% more than the trading day before Friday, 14th Jun 2024. During the day the stock fluctuated 11.12% from a day low at ¥11.51 to a day high of ¥12.79. |
90 days | ¥11.10 | ¥16.18 | |
52 weeks | ¥10.46 | ¥22.61 |
Historical QiMing Information Technology Co., Ltd prices
Date | Open | High | Low | Close | Volume |
Dec 24, 2021 | ¥26.00 | ¥26.26 | ¥24.51 | ¥25.05 | 54 024 502 |
Dec 23, 2021 | ¥27.45 | ¥27.47 | ¥25.52 | ¥25.52 | 62 835 766 |
Dec 22, 2021 | ¥27.17 | ¥29.50 | ¥26.93 | ¥28.36 | 69 385 860 |
Dec 21, 2021 | ¥28.73 | ¥30.00 | ¥26.80 | ¥27.45 | 71 667 507 |
Dec 20, 2021 | ¥30.17 | ¥32.66 | ¥27.93 | ¥29.58 | 71 432 797 |
Dec 17, 2021 | ¥31.66 | ¥33.48 | ¥29.07 | ¥31.00 | 91 142 727 |
Dec 16, 2021 | ¥27.21 | ¥30.60 | ¥26.70 | ¥30.60 | 84 644 786 |
Dec 15, 2021 | ¥27.37 | ¥29.12 | ¥26.58 | ¥27.82 | 78 984 237 |
Dec 14, 2021 | ¥28.70 | ¥29.96 | ¥27.33 | ¥27.98 | 97 512 378 |
Dec 13, 2021 | ¥27.10 | ¥27.24 | ¥26.00 | ¥27.24 | 34 315 610 |
Dec 10, 2021 | ¥23.01 | ¥24.76 | ¥23.01 | ¥24.76 | 37 607 622 |
Dec 09, 2021 | ¥20.29 | ¥22.51 | ¥19.41 | ¥22.51 | 77 323 811 |
Dec 08, 2021 | ¥17.91 | ¥21.45 | ¥17.73 | ¥20.46 | 93 036 554 |
Dec 07, 2021 | ¥17.92 | ¥19.70 | ¥17.45 | ¥19.70 | 90 654 324 |
Dec 06, 2021 | ¥17.95 | ¥17.95 | ¥17.21 | ¥17.91 | 53 786 417 |
Dec 03, 2021 | ¥16.20 | ¥16.32 | ¥15.88 | ¥16.32 | 22 007 359 |
Dec 02, 2021 | ¥14.40 | ¥14.84 | ¥14.40 | ¥14.84 | 26 130 381 |
Dec 01, 2021 | ¥14.06 | ¥14.59 | ¥13.30 | ¥13.49 | 45 081 062 |
Nov 30, 2021 | ¥12.47 | ¥13.68 | ¥12.35 | ¥13.68 | 22 338 224 |
Nov 29, 2021 | ¥12.09 | ¥12.87 | ¥12.00 | ¥12.44 | 21 843 128 |
Nov 26, 2021 | ¥12.31 | ¥12.41 | ¥11.95 | ¥12.30 | 14 635 652 |
Nov 25, 2021 | ¥12.14 | ¥12.40 | ¥11.96 | ¥12.23 | 9 771 720 |
Nov 24, 2021 | ¥12.13 | ¥12.60 | ¥11.93 | ¥12.29 | 20 328 788 |
Nov 23, 2021 | ¥12.17 | ¥12.37 | ¥11.93 | ¥12.13 | 13 996 022 |
Nov 22, 2021 | ¥11.53 | ¥11.53 | ¥11.53 | ¥11.53 | 0 |
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 002232.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002232.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 002232.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.