Range Low Price High Price Comment
30 days ¥11.10 ¥13.42 Tuesday, 18th Jun 2024 002232.SZ stock ended at ¥12.87. This is 3.96% more than the trading day before Monday, 17th Jun 2024. During the day the stock fluctuated 12.60% from a day low at ¥11.51 to a day high of ¥12.96.
90 days ¥11.10 ¥16.12
52 weeks ¥10.46 ¥22.61

Historical QiMing Information Technology Co., Ltd prices

Date Open High Low Close Volume
Jun 18, 2024 ¥11.51 ¥12.96 ¥11.51 ¥12.87 19 097 078
Jun 17, 2024 ¥11.51 ¥12.79 ¥11.51 ¥12.38 18 308 416
Jun 14, 2024 ¥11.88 ¥11.97 ¥11.37 ¥11.80 9 232 059
Jun 13, 2024 ¥11.88 ¥11.88 ¥11.48 ¥11.55 6 733 582
Jun 12, 2024 ¥11.88 ¥11.94 ¥11.62 ¥11.83 5 704 332
Jun 11, 2024 ¥11.88 ¥11.88 ¥11.10 ¥11.74 8 593 432
Jun 07, 2024 ¥11.92 ¥12.20 ¥11.21 ¥11.65 13 484 715
Jun 06, 2024 ¥11.92 ¥12.93 ¥11.92 ¥11.99 22 441 330
Jun 05, 2024 ¥11.92 ¥13.42 ¥11.92 ¥13.25 28 291 129
Jun 04, 2024 ¥11.92 ¥13.17 ¥11.81 ¥12.66 18 738 900
Jun 03, 2024 ¥11.92 ¥12.48 ¥11.85 ¥11.97 6 376 200
May 31, 2024 ¥11.92 ¥12.18 ¥11.92 ¥12.18 4 536 800
May 30, 2024 ¥12.32 ¥12.32 ¥11.80 ¥11.91 3 227 514
May 29, 2024 ¥12.32 ¥12.32 ¥11.93 ¥11.98 2 961 352
May 28, 2024 ¥12.32 ¥12.33 ¥12.00 ¥12.06 3 037 100
May 24, 2024 ¥12.58 ¥12.58 ¥12.12 ¥12.14 3 672 572
May 23, 2024 ¥12.58 ¥12.65 ¥12.27 ¥12.29 4 853 201
May 22, 2024 ¥12.58 ¥12.74 ¥12.52 ¥12.66 3 364 100
May 21, 2024 ¥12.58 ¥12.86 ¥12.58 ¥12.63 4 091 033
May 20, 2024 ¥12.58 ¥12.95 ¥12.58 ¥12.85 5 323 902
May 17, 2024 ¥13.35 ¥13.35 ¥12.50 ¥12.78 4 859 000
May 16, 2024 ¥13.35 ¥13.35 ¥12.50 ¥12.63 4 466 380
May 15, 2024 ¥13.35 ¥13.35 ¥12.52 ¥12.54 5 783 136
May 14, 2024 ¥13.35 ¥13.35 ¥12.69 ¥12.81 3 698 802
May 13, 2024 ¥13.35 ¥13.35 ¥12.65 ¥12.68 6 286 899

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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