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Range Low Price High Price Comment
30 days ¥12.22 ¥14.11 Friday, 17th May 2024 002232.SZ stock ended at ¥12.78. This is 1.19% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.80% from a day low at ¥12.50 to a day high of ¥13.35.
90 days ¥11.79 ¥16.18
52 weeks ¥10.46 ¥22.61

Historical QiMing Information Technology Co., Ltd prices

Date Open High Low Close Volume
Apr 09, 2024 ¥15.00 ¥15.30 ¥14.50 ¥14.55 24 104 286
Apr 08, 2024 ¥15.00 ¥15.60 ¥14.08 ¥14.96 34 119 507
Apr 03, 2024 ¥15.65 ¥15.65 ¥14.18 ¥14.18 17 063 260
Apr 02, 2024 ¥15.65 ¥15.75 ¥14.95 ¥15.09 17 596 812
Apr 01, 2024 ¥15.65 ¥15.90 ¥15.40 ¥15.71 19 408 265
Mar 29, 2024 ¥14.84 ¥15.65 ¥14.84 ¥15.60 20 730 452
Mar 28, 2024 ¥14.84 ¥15.95 ¥14.47 ¥15.70 35 184 445
Mar 27, 2024 ¥14.84 ¥15.90 ¥13.85 ¥15.25 33 849 049
Mar 26, 2024 ¥14.84 ¥14.99 ¥14.43 ¥14.63 12 302 601
Mar 25, 2024 ¥15.37 ¥15.62 ¥14.82 ¥14.89 15 114 490
Mar 22, 2024 ¥15.80 ¥15.80 ¥15.25 ¥15.51 19 368 664
Mar 21, 2024 ¥15.78 ¥16.12 ¥15.43 ¥15.94 26 922 128
Mar 20, 2024 ¥15.43 ¥15.67 ¥15.35 ¥15.61 19 848 255
Mar 19, 2024 ¥15.27 ¥16.18 ¥15.21 ¥15.55 31 421 892
Mar 18, 2024 ¥14.95 ¥15.44 ¥14.87 ¥15.27 17 759 349
Mar 15, 2024 ¥14.56 ¥14.85 ¥14.36 ¥14.83 11 822 008
Mar 14, 2024 ¥15.00 ¥15.00 ¥14.37 ¥14.71 15 637 505
Mar 13, 2024 ¥14.80 ¥15.19 ¥14.70 ¥14.96 20 833 547
Mar 12, 2024 ¥14.53 ¥14.95 ¥14.42 ¥14.78 18 368 371
Mar 11, 2024 ¥14.12 ¥14.54 ¥13.93 ¥14.50 15 149 352
Mar 08, 2024 ¥14.12 ¥14.30 ¥13.83 ¥14.24 10 957 532
Mar 07, 2024 ¥14.48 ¥14.64 ¥14.00 ¥14.00 16 079 672
Mar 06, 2024 ¥14.30 ¥14.66 ¥14.22 ¥14.39 15 445 547
Mar 05, 2024 ¥14.31 ¥14.63 ¥14.03 ¥14.53 20 090 109
Mar 04, 2024 ¥14.56 ¥14.72 ¥14.10 ¥14.53 17 512 574

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.

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.

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.

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.
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About QiMing Information Technology Co., Ltd

Qiming Information Technology Co.,Ltd provides products and services in the areas of smart manufacturing, smart cars, and smart cities in China. The company's management software products include ERP, intelligent manufacturing, smart logistics, collaborative office, market consulting service, and industrial Internet platform, as well as management software services. Qiming Information Technology Co.,Ltd was founded in 2000 and is based in Changch... 002232.SZ Profile

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