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Range Low Price High Price Comment
30 days ¥7.78 ¥9.38 Thursday, 27th Jun 2024 300002.SZ stock ended at ¥8.11. This is 2.64% less than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 3.70% from a day low at ¥8.10 to a day high of ¥8.40.
90 days ¥7.78 ¥10.26
52 weeks ¥7.78 ¥14.26

Historical Beijing Ultrapower Software Co., LTD prices

Date Open High Low Close Volume
Jun 27, 2024 ¥8.40 ¥8.40 ¥8.10 ¥8.11 41 780 210
Jun 26, 2024 ¥8.40 ¥8.40 ¥7.83 ¥8.33 65 513 628
Jun 25, 2024 ¥8.40 ¥8.40 ¥7.78 ¥7.88 45 600 292
Jun 24, 2024 ¥8.40 ¥8.40 ¥8.06 ¥8.09 42 672 052
Jun 21, 2024 ¥9.19 ¥9.19 ¥8.27 ¥8.37 31 375 578
Jun 20, 2024 ¥9.19 ¥9.19 ¥8.38 ¥8.38 43 979 969
Jun 18, 2024 ¥9.19 ¥9.19 ¥8.73 ¥8.78 65 404 863
Jun 17, 2024 ¥9.19 ¥9.19 ¥8.65 ¥8.77 93 607 775
Jun 14, 2024 ¥8.79 ¥9.38 ¥8.79 ¥9.20 187 324 300
Jun 13, 2024 ¥8.79 ¥9.31 ¥8.79 ¥9.24 92 876 783
Jun 12, 2024 ¥8.79 ¥9.06 ¥8.79 ¥9.02 57 571 602
Jun 11, 2024 ¥8.79 ¥9.06 ¥8.51 ¥9.03 76 963 940
Jun 07, 2024 ¥8.38 ¥8.85 ¥8.38 ¥8.64 41 561 702
Jun 06, 2024 ¥8.38 ¥8.92 ¥8.38 ¥8.75 46 533 297
Jun 05, 2024 ¥8.38 ¥9.00 ¥8.38 ¥8.80 42 669 279
Jun 04, 2024 ¥8.38 ¥9.06 ¥8.38 ¥8.95 77 934 305
Jun 03, 2024 ¥8.38 ¥8.84 ¥8.38 ¥8.80 102 581 178
May 31, 2024 ¥8.38 ¥8.56 ¥8.37 ¥8.46 41 491 887
May 30, 2024 ¥8.74 ¥8.74 ¥8.31 ¥8.35 29 738 120
May 29, 2024 ¥8.74 ¥8.74 ¥8.40 ¥8.46 31 232 895
May 28, 2024 ¥8.74 ¥8.74 ¥8.40 ¥8.42 38 914 824
May 24, 2024 ¥8.88 ¥8.90 ¥8.63 ¥8.64 46 079 138
May 23, 2024 ¥8.88 ¥8.96 ¥8.73 ¥8.78 49 390 084
May 22, 2024 ¥8.88 ¥9.02 ¥8.87 ¥8.96 40 413 968
May 21, 2024 ¥8.88 ¥9.18 ¥8.88 ¥9.00 56 501 292

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 300002.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300002.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 300002.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 Beijing Ultrapower Software Co., LTD

Beijing Ultrapower Software Co., Ltd. engages in the Internet of Things (IOT)/communication technology, artificial intelligence and big data, ICT operation management, and mobile gaming businesses in China and internationally. It offers nuclear communication, perimeter security, and underground space IOT and communication access products that are used in nuclear island and power, smart city, airport, high-speed rail, military, petroleum refining,... 300002.SZ Profile

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