SZCE:002783
Hubei Kailong Chemical Group Co Ltd Stock Price (Quote)
¥8.30
+0.150 (+1.84%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.33 | ¥8.73 | Friday, 17th May 2024 002783.SZ stock ended at ¥8.30. This is 1.84% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.83% from a day low at ¥8.09 to a day high of ¥8.40. |
90 days | ¥7.08 | ¥9.30 | |
52 weeks | ¥6.14 | ¥12.75 |
Date | Open | High | Low | Close | Volume |
Apr 09, 2024 | ¥8.82 | ¥8.82 | ¥8.30 | ¥8.52 | 8 256 029 |
Apr 08, 2024 | ¥8.82 | ¥8.82 | ¥8.38 | ¥8.39 | 7 366 933 |
Apr 03, 2024 | ¥8.56 | ¥8.89 | ¥8.56 | ¥8.74 | 9 617 657 |
Apr 02, 2024 | ¥8.56 | ¥9.07 | ¥8.56 | ¥8.89 | 12 633 519 |
Apr 01, 2024 | ¥8.56 | ¥8.85 | ¥8.56 | ¥8.81 | 8 858 687 |
Mar 29, 2024 | ¥8.80 | ¥8.80 | ¥8.56 | ¥8.69 | 8 086 276 |
Mar 28, 2024 | ¥8.80 | ¥8.80 | ¥8.36 | ¥8.55 | 6 517 560 |
Mar 27, 2024 | ¥8.80 | ¥8.82 | ¥8.35 | ¥8.35 | 7 338 400 |
Mar 26, 2024 | ¥8.80 | ¥8.93 | ¥8.55 | ¥8.73 | 9 412 692 |
Mar 25, 2024 | ¥9.04 | ¥9.14 | ¥8.81 | ¥8.84 | 8 362 693 |
Mar 22, 2024 | ¥9.20 | ¥9.28 | ¥9.05 | ¥9.15 | 9 186 169 |
Mar 21, 2024 | ¥9.20 | ¥9.30 | ¥9.02 | ¥9.24 | 9 775 200 |
Mar 20, 2024 | ¥8.90 | ¥9.17 | ¥8.90 | ¥9.17 | 8 898 620 |
Mar 19, 2024 | ¥8.92 | ¥9.10 | ¥8.89 | ¥8.97 | 7 086 600 |
Mar 18, 2024 | ¥8.89 | ¥8.97 | ¥8.80 | ¥8.94 | 7 875 200 |
Mar 15, 2024 | ¥8.70 | ¥8.84 | ¥8.61 | ¥8.83 | 6 152 848 |
Mar 14, 2024 | ¥8.73 | ¥8.80 | ¥8.53 | ¥8.68 | 6 903 360 |
Mar 13, 2024 | ¥8.87 | ¥8.87 | ¥8.68 | ¥8.76 | 7 414 465 |
Mar 12, 2024 | ¥8.75 | ¥8.84 | ¥8.69 | ¥8.84 | 9 389 884 |
Mar 11, 2024 | ¥8.68 | ¥8.77 | ¥8.64 | ¥8.75 | 6 421 520 |
Mar 08, 2024 | ¥8.59 | ¥8.72 | ¥8.55 | ¥8.70 | 6 456 779 |
Mar 07, 2024 | ¥8.70 | ¥8.85 | ¥8.57 | ¥8.67 | 10 622 434 |
Mar 06, 2024 | ¥8.48 | ¥8.77 | ¥8.45 | ¥8.65 | 10 265 143 |
Mar 05, 2024 | ¥8.54 | ¥8.69 | ¥8.50 | ¥8.51 | 10 477 928 |
Mar 04, 2024 | ¥8.83 | ¥8.91 | ¥8.42 | ¥8.70 | 18 715 570 |
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 002783.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002783.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 002783.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.