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Range Low Price High Price Comment
30 days ¥4.91 ¥6.12 Friday, 17th May 2024 002453.SZ stock ended at ¥5.80. This is 1.93% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 8.94% from a day low at ¥5.59 to a day high of ¥6.09.
90 days ¥4.91 ¥7.84
52 weeks ¥4.91 ¥12.98

Historical Great Chinasoft Technology Co Ltd prices

Date Open High Low Close Volume
Nov 10, 2023 ¥11.09 ¥11.31 ¥10.79 ¥11.26 7 395 600
Nov 09, 2023 ¥11.24 ¥11.24 ¥11.02 ¥11.11 3 704 248
Nov 08, 2023 ¥11.21 ¥11.24 ¥11.05 ¥11.16 5 179 501
Nov 07, 2023 ¥10.96 ¥11.47 ¥10.92 ¥11.17 8 436 961
Nov 06, 2023 ¥10.94 ¥11.00 ¥10.78 ¥10.96 5 394 900
Nov 03, 2023 ¥10.73 ¥11.04 ¥10.71 ¥10.93 5 897 200
Nov 02, 2023 ¥10.86 ¥10.89 ¥10.71 ¥10.71 3 747 300
Nov 01, 2023 ¥10.94 ¥11.07 ¥10.81 ¥10.92 5 560 541
Oct 31, 2023 ¥10.99 ¥11.08 ¥10.72 ¥10.96 7 169 880
Oct 30, 2023 ¥10.63 ¥11.06 ¥10.59 ¥10.99 5 593 014
Oct 27, 2023 ¥10.51 ¥10.75 ¥10.51 ¥10.66 5 446 606
Oct 26, 2023 ¥10.61 ¥10.72 ¥10.39 ¥10.61 7 152 969
Oct 25, 2023 ¥10.39 ¥10.70 ¥10.39 ¥10.60 9 254 100
Oct 24, 2023 ¥10.01 ¥10.46 ¥10.01 ¥10.38 8 893 600
Oct 23, 2023 ¥11.39 ¥11.47 ¥10.26 ¥10.26 14 754 400
Oct 20, 2023 ¥11.49 ¥11.52 ¥11.19 ¥11.40 5 906 000
Oct 19, 2023 ¥11.61 ¥11.65 ¥11.43 ¥11.49 4 494 851
Oct 18, 2023 ¥11.89 ¥11.95 ¥11.58 ¥11.64 6 238 959
Oct 17, 2023 ¥11.77 ¥11.98 ¥11.73 ¥11.91 6 068 301
Oct 16, 2023 ¥11.60 ¥11.76 ¥11.42 ¥11.72 7 942 000
Oct 13, 2023 ¥11.39 ¥11.74 ¥11.30 ¥11.69 7 232 751
Oct 12, 2023 ¥11.49 ¥11.53 ¥11.38 ¥11.39 6 028 200
Oct 11, 2023 ¥11.61 ¥11.61 ¥11.34 ¥11.41 7 746 300
Oct 10, 2023 ¥11.66 ¥11.69 ¥11.49 ¥11.57 4 608 100
Oct 09, 2023 ¥11.89 ¥11.92 ¥11.66 ¥11.69 3 070 700

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 002453.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002453.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 002453.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 Great Chinasoft Technology Co Ltd

Great Chinasoft Technology Co.,Ltd. operates as a chemical company in China. The company offers fine chemicals, including papermaking chemicals and pesticide intermediates. It also engages in the supply chain management business that primarily focuses on the field of enterprise mobile information services, which provides ICT product supply, mobile solution consulting, implementation, operation, and maintenance management, technical training, and ... 002453.SZ Profile

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