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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
Mar 01, 2024 ¥14.28 ¥14.69 ¥14.13 ¥14.64 22 718 585
Feb 29, 2024 ¥13.20 ¥14.18 ¥13.15 ¥14.18 20 444 271
Feb 28, 2024 ¥14.67 ¥14.88 ¥13.29 ¥13.33 31 396 701
Feb 27, 2024 ¥13.86 ¥14.63 ¥13.74 ¥14.59 23 341 604
Feb 26, 2024 ¥13.78 ¥14.16 ¥13.64 ¥13.87 23 616 425
Feb 23, 2024 ¥13.54 ¥14.08 ¥13.39 ¥14.04 27 245 377
Feb 22, 2024 ¥13.25 ¥13.82 ¥12.92 ¥13.52 30 203 684
Feb 21, 2024 ¥12.49 ¥13.23 ¥12.43 ¥12.72 20 678 024
Feb 20, 2024 ¥12.45 ¥12.75 ¥12.12 ¥12.73 17 452 867
Feb 19, 2024 ¥12.13 ¥12.65 ¥11.95 ¥12.52 23 669 693
Feb 17, 2024 ¥11.79 ¥11.79 ¥11.79 ¥11.79 0
Feb 09, 2024 ¥11.79 ¥11.79 ¥11.79 ¥11.79 0
Feb 08, 2024 ¥10.92 ¥11.90 ¥10.70 ¥11.79 24 265 386
Feb 07, 2024 ¥11.05 ¥11.45 ¥10.58 ¥10.83 26 794 525
Feb 06, 2024 ¥10.51 ¥11.82 ¥10.46 ¥11.17 30 743 785
Feb 05, 2024 ¥12.70 ¥12.90 ¥11.62 ¥11.62 22 366 510
Feb 02, 2024 ¥12.49 ¥13.63 ¥12.37 ¥12.91 33 236 081
Feb 01, 2024 ¥12.65 ¥12.90 ¥12.19 ¥12.39 8 983 065
Jan 31, 2024 ¥13.65 ¥13.65 ¥12.50 ¥12.56 12 098 024
Jan 30, 2024 ¥13.88 ¥14.28 ¥13.50 ¥13.65 9 331 446
Jan 29, 2024 ¥15.06 ¥15.12 ¥14.31 ¥14.31 9 560 387
Jan 26, 2024 ¥14.76 ¥15.29 ¥14.76 ¥14.91 12 405 200
Jan 25, 2024 ¥14.10 ¥14.93 ¥13.89 ¥14.87 12 218 898
Jan 24, 2024 ¥13.94 ¥14.07 ¥13.43 ¥14.03 8 253 499
Jan 23, 2024 ¥13.71 ¥14.02 ¥13.62 ¥13.88 8 039 600

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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