SZCE:002292
Alpha Group Stock Price (Quote)
¥6.48
+0.0400 (+0.621%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.03 | ¥7.07 | Friday, 14th Jun 2024 002292.SZ stock ended at ¥6.48. This is 0.621% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 5.69% from a day low at ¥6.15 to a day high of ¥6.50. |
90 days | ¥5.93 | ¥8.78 | |
52 weeks | ¥5.03 | ¥12.22 |
Historical Alpha Group prices
Date | Open | High | Low | Close | Volume |
Nov 25, 2022 | ¥4.61 | ¥4.65 | ¥4.56 | ¥4.58 | 15 826 259 |
Nov 24, 2022 | ¥4.64 | ¥4.68 | ¥4.57 | ¥4.61 | 20 218 650 |
Nov 23, 2022 | ¥4.71 | ¥4.73 | ¥4.55 | ¥4.62 | 26 146 770 |
Nov 22, 2022 | ¥4.78 | ¥4.84 | ¥4.68 | ¥4.72 | 28 116 364 |
Nov 21, 2022 | ¥4.88 | ¥4.94 | ¥4.76 | ¥4.78 | 59 898 761 |
Nov 18, 2022 | ¥5.02 | ¥5.14 | ¥4.93 | ¥4.93 | 78 576 788 |
Nov 17, 2022 | ¥5.09 | ¥5.17 | ¥4.91 | ¥5.00 | 55 002 928 |
Nov 16, 2022 | ¥4.88 | ¥5.04 | ¥4.88 | ¥4.95 | 38 091 842 |
Nov 15, 2022 | ¥4.80 | ¥4.93 | ¥4.79 | ¥4.88 | 29 416 688 |
Nov 14, 2022 | ¥4.89 | ¥4.92 | ¥4.79 | ¥4.82 | 33 045 756 |
Nov 11, 2022 | ¥4.99 | ¥5.04 | ¥4.85 | ¥4.88 | 49 803 907 |
Nov 10, 2022 | ¥4.73 | ¥4.95 | ¥4.71 | ¥4.91 | 45 741 086 |
Nov 09, 2022 | ¥4.80 | ¥4.85 | ¥4.74 | ¥4.79 | 25 914 004 |
Nov 08, 2022 | ¥4.80 | ¥4.84 | ¥4.71 | ¥4.82 | 36 449 089 |
Nov 07, 2022 | ¥4.61 | ¥4.84 | ¥4.59 | ¥4.80 | 52 139 254 |
Nov 04, 2022 | ¥4.55 | ¥4.66 | ¥4.51 | ¥4.63 | 38 122 492 |
Nov 03, 2022 | ¥4.61 | ¥4.66 | ¥4.51 | ¥4.54 | 69 593 263 |
Nov 02, 2022 | ¥4.87 | ¥4.90 | ¥4.59 | ¥4.61 | 118 033 636 |
Nov 01, 2022 | ¥4.36 | ¥4.47 | ¥4.33 | ¥4.46 | 29 597 443 |
Oct 31, 2022 | ¥4.24 | ¥4.36 | ¥4.20 | ¥4.33 | 21 507 948 |
Oct 28, 2022 | ¥4.46 | ¥4.46 | ¥4.20 | ¥4.23 | 46 425 815 |
Oct 27, 2022 | ¥4.37 | ¥4.51 | ¥4.36 | ¥4.49 | 27 669 439 |
Oct 26, 2022 | ¥4.30 | ¥4.42 | ¥4.30 | ¥4.36 | 36 391 401 |
Oct 25, 2022 | ¥4.33 | ¥4.35 | ¥4.20 | ¥4.26 | 17 739 975 |
Oct 24, 2022 | ¥4.45 | ¥4.54 | ¥4.28 | ¥4.32 | 25 781 454 |
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 002292.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002292.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 002292.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.