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Range Low Price High Price Comment
30 days ¥14.08 ¥15.65 Thursday, 27th Jun 2024 300075.SZ stock ended at ¥14.74. This is 2.90% less than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 2.92% from a day low at ¥14.74 to a day high of ¥15.17.
90 days ¥13.10 ¥17.78
52 weeks ¥10.40 ¥25.75

Historical Beijing Egova Co Ltd prices

Date Open High Low Close Volume
Jun 27, 2024 ¥15.17 ¥15.17 ¥14.74 ¥14.74 13 720 360
Jun 26, 2024 ¥15.17 ¥15.19 ¥14.36 ¥15.18 19 220 992
Jun 25, 2024 ¥15.17 ¥15.17 ¥14.13 ¥14.65 16 527 581
Jun 24, 2024 ¥15.17 ¥15.21 ¥14.41 ¥14.51 19 322 963
Jun 21, 2024 ¥14.51 ¥15.43 ¥14.51 ¥15.39 15 802 130
Jun 20, 2024 ¥14.51 ¥15.65 ¥14.51 ¥15.19 23 028 354
Jun 18, 2024 ¥14.51 ¥15.07 ¥14.51 ¥15.07 15 545 641
Jun 17, 2024 ¥14.51 ¥14.81 ¥14.51 ¥14.68 8 547 820
Jun 14, 2024 ¥14.46 ¥14.77 ¥14.40 ¥14.73 9 983 620
Jun 13, 2024 ¥14.46 ¥14.77 ¥14.46 ¥14.57 10 231 658
Jun 12, 2024 ¥14.46 ¥14.74 ¥14.46 ¥14.65 9 743 469
Jun 11, 2024 ¥14.46 ¥14.60 ¥14.08 ¥14.56 9 691 475
Jun 07, 2024 ¥15.03 ¥15.03 ¥14.22 ¥14.38 10 093 940
Jun 06, 2024 ¥15.03 ¥15.05 ¥14.22 ¥14.28 22 127 460
Jun 05, 2024 ¥15.03 ¥15.34 ¥14.90 ¥15.05 17 463 226
Jun 04, 2024 ¥15.03 ¥15.03 ¥14.67 ¥15.00 11 944 445
Jun 03, 2024 ¥15.03 ¥15.12 ¥14.75 ¥14.92 12 134 126
May 31, 2024 ¥15.03 ¥15.21 ¥15.03 ¥15.09 12 342 977
May 30, 2024 ¥15.55 ¥15.55 ¥14.62 ¥14.97 12 344 079
May 29, 2024 ¥15.55 ¥15.55 ¥14.80 ¥14.94 13 119 200
May 28, 2024 ¥15.55 ¥15.55 ¥15.00 ¥15.00 21 412 549
May 24, 2024 ¥15.29 ¥15.75 ¥15.15 ¥15.17 22 117 280
May 23, 2024 ¥15.29 ¥16.36 ¥15.29 ¥15.71 28 477 948
May 22, 2024 ¥15.29 ¥16.65 ¥15.29 ¥16.18 43 049 757
May 21, 2024 ¥15.29 ¥17.56 ¥15.29 ¥16.54 71 176 489

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 300075.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300075.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 300075.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 Egova Co Ltd

Beijing Egova Co Ltd Beijing eGOVA Co,. Ltd operates as a smart city core application and operation service provider in China. The company develops and sells professional smart city application software, and provides technical support and follow-up services. It also offers smart city grid, city operation service, smart law enforcement, multinetwork integration, smart natural resource management, and smart city management solutions. The company was founded in 2001 and... 300075.SZ Profile

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