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Range Low Price High Price Comment
30 days ¥2.33 ¥3.05 Friday, 21st Jun 2024 000839.SZ stock ended at ¥2.75. This is 0.365% more than the trading day before Thursday, 20th Jun 2024. During the day the stock fluctuated 4.09% from a day low at ¥2.69 to a day high of ¥2.80.
90 days ¥1.76 ¥3.05
52 weeks ¥1.72 ¥3.05

Historical CITIC Guoan Information Indust. Co., Ltd prices

Date Open High Low Close Volume
Jun 21, 2024 ¥2.73 ¥2.80 ¥2.69 ¥2.75 35 285 903
Jun 20, 2024 ¥2.73 ¥2.84 ¥2.72 ¥2.74 60 139 603
Jun 18, 2024 ¥2.73 ¥2.87 ¥2.73 ¥2.79 144 676 975
Jun 17, 2024 ¥2.73 ¥3.05 ¥2.70 ¥2.99 203 877 025
Jun 14, 2024 ¥2.55 ¥2.90 ¥2.55 ¥2.77 119 038 564
Jun 13, 2024 ¥2.55 ¥2.65 ¥2.33 ¥2.65 76 154 868
Jun 12, 2024 ¥2.55 ¥2.55 ¥2.36 ¥2.41 33 852 546
Jun 11, 2024 ¥2.55 ¥2.57 ¥2.39 ¥2.44 104 509 597
Jun 07, 2024 ¥2.36 ¥2.36 ¥2.36 ¥2.36 0
Jun 06, 2024 ¥2.55 ¥2.55 ¥2.35 ¥2.36 31 600 829
Jun 05, 2024 ¥2.55 ¥2.55 ¥2.43 ¥2.47 15 794 353
Jun 04, 2024 ¥2.55 ¥2.55 ¥2.34 ¥2.47 30 550 365
Jun 03, 2024 ¥2.55 ¥2.56 ¥2.45 ¥2.45 42 458 191
May 31, 2024 ¥2.55 ¥2.58 ¥2.50 ¥2.58 28 416 979
May 30, 2024 ¥2.50 ¥2.55 ¥2.45 ¥2.55 42 247 356
May 29, 2024 ¥2.50 ¥2.50 ¥2.40 ¥2.43 26 068 926
May 28, 2024 ¥2.50 ¥2.56 ¥2.40 ¥2.41 38 635 900
May 24, 2024 ¥2.48 ¥2.61 ¥2.48 ¥2.56 37 593 352
May 23, 2024 ¥2.48 ¥2.55 ¥2.46 ¥2.50 20 961 750
May 22, 2024 ¥2.48 ¥2.51 ¥2.44 ¥2.51 25 970 391
May 21, 2024 ¥2.48 ¥2.55 ¥2.47 ¥2.52 31 445 400
May 20, 2024 ¥2.48 ¥2.56 ¥2.43 ¥2.44 52 296 866
May 17, 2024 ¥2.21 ¥2.56 ¥2.21 ¥2.56 53 125 369
May 16, 2024 ¥2.21 ¥2.46 ¥2.21 ¥2.44 26 815 679
May 15, 2024 ¥2.21 ¥2.42 ¥2.21 ¥2.39 33 588 097

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 000839.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000839.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 000839.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 CITIC Guoan Information Indust. Co., Ltd

CITIC Guoan Information Indust. Co. Ltd CITIC Guoan Information Industry Co., Ltd. engages in the investment and construction of cable television networks and satellite communication networks. It operates and manages the invested cable TV projects; and provides basic TV program services, video-on-demand, high-definition film and television, and cable broadband and other value-added services; computer application software and hardware development; call center outsourcing services; compu... 000839.SZ Profile

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