SZCE:200012
CSG/Shs B Vtg 1.00 Stock Price (Quote)
¥2.50
+0.0100 (+0.402%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.12 | ¥2.52 | Friday, 17th May 2024 200012.SZ stock ended at ¥2.50. This is 0.402% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.21% from a day low at ¥2.48 to a day high of ¥2.51. |
90 days | ¥2.12 | ¥2.52 | |
52 weeks | ¥2.12 | ¥2.93 |
Date | Open | High | Low | Close | Volume |
Jun 14, 2023 | ¥2.74 | ¥2.74 | ¥2.71 | ¥2.73 | 294 783 |
Jun 13, 2023 | ¥2.72 | ¥2.74 | ¥2.70 | ¥2.74 | 538 572 |
Jun 12, 2023 | ¥2.71 | ¥2.74 | ¥2.71 | ¥2.73 | 443 783 |
Jun 09, 2023 | ¥2.68 | ¥2.72 | ¥2.68 | ¥2.71 | 463 320 |
Jun 08, 2023 | ¥2.70 | ¥2.70 | ¥2.67 | ¥2.67 | 598 642 |
Jun 07, 2023 | ¥2.70 | ¥2.73 | ¥2.70 | ¥2.70 | 369 484 |
Jun 06, 2023 | ¥2.71 | ¥2.73 | ¥2.69 | ¥2.70 | 452 000 |
Jun 05, 2023 | ¥2.70 | ¥2.73 | ¥2.68 | ¥2.70 | 873 230 |
Jun 02, 2023 | ¥2.60 | ¥2.69 | ¥2.60 | ¥2.68 | 1 239 436 |
Jun 01, 2023 | ¥2.68 | ¥2.68 | ¥2.59 | ¥2.61 | 2 297 152 |
May 31, 2023 | ¥2.73 | ¥2.75 | ¥2.66 | ¥2.68 | 1 172 865 |
May 30, 2023 | ¥2.76 | ¥2.77 | ¥2.70 | ¥2.75 | 1 129 893 |
May 29, 2023 | ¥2.84 | ¥2.85 | ¥2.72 | ¥2.77 | 2 040 468 |
May 26, 2023 | ¥2.88 | ¥2.88 | ¥2.81 | ¥2.85 | 1 675 400 |
May 25, 2023 | ¥2.89 | ¥2.91 | ¥2.83 | ¥2.88 | 1 172 998 |
May 24, 2023 | ¥2.91 | ¥2.92 | ¥2.89 | ¥2.89 | 1 385 991 |
May 23, 2023 | ¥2.92 | ¥2.93 | ¥2.91 | ¥2.92 | 424 100 |
May 22, 2023 | ¥2.92 | ¥2.93 | ¥2.91 | ¥2.93 | 248 976 |
May 19, 2023 | ¥2.92 | ¥2.93 | ¥2.91 | ¥2.92 | 623 393 |
May 18, 2023 | ¥2.92 | ¥2.94 | ¥2.91 | ¥2.93 | 547 140 |
May 17, 2023 | ¥2.93 | ¥2.94 | ¥2.92 | ¥2.92 | 861 614 |
May 16, 2023 | ¥2.93 | ¥2.94 | ¥2.92 | ¥2.94 | 746 390 |
May 15, 2023 | ¥2.93 | ¥2.95 | ¥2.92 | ¥2.94 | 679 957 |
May 12, 2023 | ¥2.95 | ¥2.96 | ¥2.92 | ¥2.93 | 1 023 181 |
May 11, 2023 | ¥2.97 | ¥2.97 | ¥2.95 | ¥2.95 | 662 470 |
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 200012.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 200012.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 200012.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.