SZCE:002453
Great Chinasoft Technology Co Ltd Stock Price (Quote)
¥5.63
-0.0900 (-1.57%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.01 | ¥6.12 | Tuesday, 21st May 2024 002453.SZ stock ended at ¥5.63. This is 1.57% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 2.87% from a day low at ¥5.57 to a day high of ¥5.73. |
90 days | ¥4.91 | ¥7.84 | |
52 weeks | ¥4.91 | ¥12.98 |
Date | Open | High | Low | Close | Volume |
Jul 25, 2023 | ¥11.83 | ¥11.91 | ¥11.67 | ¥11.85 | 5 959 421 |
Jul 24, 2023 | ¥11.59 | ¥11.84 | ¥11.56 | ¥11.82 | 6 898 437 |
Jul 21, 2023 | ¥11.71 | ¥11.93 | ¥11.64 | ¥11.66 | 5 878 443 |
Jul 20, 2023 | ¥11.70 | ¥11.78 | ¥11.57 | ¥11.78 | 7 084 883 |
Jul 19, 2023 | ¥11.78 | ¥11.88 | ¥11.63 | ¥11.66 | 4 969 059 |
Jul 18, 2023 | ¥11.75 | ¥11.89 | ¥11.64 | ¥11.80 | 6 342 689 |
Jul 17, 2023 | ¥11.58 | ¥11.85 | ¥11.56 | ¥11.73 | 7 599 600 |
Jul 14, 2023 | ¥11.33 | ¥11.57 | ¥11.25 | ¥11.55 | 6 842 621 |
Jul 13, 2023 | ¥11.44 | ¥11.58 | ¥11.23 | ¥11.33 | 6 478 946 |
Jul 12, 2023 | ¥11.65 | ¥11.66 | ¥11.33 | ¥11.45 | 7 635 685 |
Jul 11, 2023 | ¥11.66 | ¥11.73 | ¥11.55 | ¥11.58 | 4 434 440 |
Jul 10, 2023 | ¥11.59 | ¥11.77 | ¥11.54 | ¥11.67 | 7 618 875 |
Jul 07, 2023 | ¥11.60 | ¥11.76 | ¥11.42 | ¥11.56 | 8 817 221 |
Jul 06, 2023 | ¥11.03 | ¥11.85 | ¥10.91 | ¥11.68 | 22 231 318 |
Jul 05, 2023 | ¥10.91 | ¥11.08 | ¥10.76 | ¥10.99 | 10 441 891 |
Jul 04, 2023 | ¥10.68 | ¥10.96 | ¥10.60 | ¥10.94 | 8 870 241 |
Jul 03, 2023 | ¥10.66 | ¥10.92 | ¥10.55 | ¥10.70 | 9 030 958 |
Jun 30, 2023 | ¥10.48 | ¥10.71 | ¥10.14 | ¥10.69 | 18 130 993 |
Jun 29, 2023 | ¥10.30 | ¥10.70 | ¥10.18 | ¥10.53 | 13 049 816 |
Jun 28, 2023 | ¥10.38 | ¥10.44 | ¥10.18 | ¥10.33 | 5 953 038 |
Jun 27, 2023 | ¥10.33 | ¥10.58 | ¥10.33 | ¥10.40 | 5 540 200 |
Jun 26, 2023 | ¥10.70 | ¥10.73 | ¥10.28 | ¥10.32 | 9 805 244 |
Jun 21, 2023 | ¥11.00 | ¥11.03 | ¥10.70 | ¥10.73 | 10 434 394 |
Jun 20, 2023 | ¥10.41 | ¥10.94 | ¥10.26 | ¥10.94 | 15 913 985 |
Jun 19, 2023 | ¥10.45 | ¥10.60 | ¥10.29 | ¥10.47 | 6 317 806 |
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.
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.
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.
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.