SZCE:002204
Dalian Huarui Heavy Industry Grup Co Ltd Stock Price (Quote)
¥4.59
+0 (+0%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.56 | ¥4.92 | Tuesday, 28th May 2024 002204.SZ stock ended at ¥4.59. During the day the stock fluctuated 1.53% from a day low at ¥4.57 to a day high of ¥4.64. |
90 days | ¥4.15 | ¥5.04 | |
52 weeks | ¥3.33 | ¥5.36 |
Historical Dalian Huarui Heavy Industry Grup Co Ltd prices
Date | Open | High | Low | Close | Volume |
Nov 20, 2023 | ¥4.65 | ¥4.69 | ¥4.62 | ¥4.67 | 10 551 153 |
Nov 17, 2023 | ¥4.58 | ¥4.64 | ¥4.57 | ¥4.64 | 7 406 739 |
Nov 16, 2023 | ¥4.63 | ¥4.64 | ¥4.59 | ¥4.59 | 7 305 200 |
Nov 15, 2023 | ¥4.66 | ¥4.66 | ¥4.62 | ¥4.64 | 9 076 617 |
Nov 14, 2023 | ¥4.62 | ¥4.65 | ¥4.61 | ¥4.64 | 9 158 146 |
Nov 13, 2023 | ¥4.56 | ¥4.62 | ¥4.54 | ¥4.62 | 11 329 700 |
Nov 10, 2023 | ¥4.53 | ¥4.57 | ¥4.50 | ¥4.55 | 8 062 231 |
Nov 09, 2023 | ¥4.59 | ¥4.59 | ¥4.53 | ¥4.54 | 8 170 000 |
Nov 08, 2023 | ¥4.63 | ¥4.63 | ¥4.55 | ¥4.58 | 9 783 680 |
Nov 07, 2023 | ¥4.63 | ¥4.65 | ¥4.60 | ¥4.61 | 9 536 832 |
Nov 06, 2023 | ¥4.60 | ¥4.65 | ¥4.59 | ¥4.64 | 9 732 000 |
Nov 03, 2023 | ¥4.58 | ¥4.61 | ¥4.57 | ¥4.59 | 6 135 000 |
Nov 02, 2023 | ¥4.61 | ¥4.62 | ¥4.54 | ¥4.55 | 6 195 301 |
Nov 01, 2023 | ¥4.59 | ¥4.61 | ¥4.54 | ¥4.58 | 7 137 632 |
Oct 31, 2023 | ¥4.60 | ¥4.60 | ¥4.53 | ¥4.57 | 10 412 100 |
Oct 30, 2023 | ¥4.59 | ¥4.65 | ¥4.57 | ¥4.60 | 12 638 146 |
Oct 27, 2023 | ¥4.48 | ¥4.56 | ¥4.46 | ¥4.55 | 9 715 069 |
Oct 26, 2023 | ¥4.44 | ¥4.49 | ¥4.38 | ¥4.49 | 10 174 325 |
Oct 25, 2023 | ¥4.38 | ¥4.46 | ¥4.37 | ¥4.44 | 11 223 324 |
Oct 24, 2023 | ¥4.31 | ¥4.36 | ¥4.28 | ¥4.34 | 8 758 860 |
Oct 23, 2023 | ¥4.39 | ¥4.40 | ¥4.27 | ¥4.28 | 9 520 681 |
Oct 20, 2023 | ¥4.40 | ¥4.45 | ¥4.38 | ¥4.40 | 7 493 300 |
Oct 19, 2023 | ¥4.40 | ¥4.48 | ¥4.39 | ¥4.41 | 8 364 918 |
Oct 18, 2023 | ¥4.54 | ¥4.54 | ¥4.43 | ¥4.44 | 10 718 400 |
Oct 17, 2023 | ¥4.60 | ¥4.61 | ¥4.52 | ¥4.54 | 8 453 000 |
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 002204.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002204.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 002204.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.