SZCE:002582
Haoxiangni Health Food Co Ltd Stock Price (Quote)
¥6.77
+0.0700 (+1.04%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.40 | ¥6.94 | Thursday, 16th May 2024 002582.SZ stock ended at ¥6.77. This is 1.04% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.79% from a day low at ¥6.70 to a day high of ¥6.82. |
90 days | ¥5.40 | ¥7.30 | |
52 weeks | ¥4.71 | ¥9.45 |
Date | Open | High | Low | Close | Volume |
Dec 31, 2021 | ¥8.57 | ¥8.86 | ¥8.55 | ¥8.70 | 9 687 700 |
Dec 30, 2021 | ¥8.48 | ¥8.60 | ¥8.45 | ¥8.58 | 3 208 300 |
Dec 29, 2021 | ¥8.53 | ¥8.59 | ¥8.46 | ¥8.47 | 2 936 200 |
Dec 28, 2021 | ¥8.57 | ¥8.61 | ¥8.51 | ¥8.56 | 2 655 900 |
Dec 27, 2021 | ¥8.55 | ¥8.58 | ¥8.42 | ¥8.58 | 3 163 702 |
Dec 24, 2021 | ¥8.48 | ¥8.57 | ¥8.41 | ¥8.53 | 3 760 902 |
Dec 23, 2021 | ¥8.52 | ¥8.55 | ¥8.46 | ¥8.47 | 2 997 000 |
Dec 22, 2021 | ¥8.59 | ¥8.65 | ¥8.50 | ¥8.52 | 3 388 600 |
Dec 21, 2021 | ¥8.40 | ¥8.64 | ¥8.39 | ¥8.61 | 5 808 400 |
Dec 20, 2021 | ¥8.40 | ¥8.50 | ¥8.39 | ¥8.40 | 2 806 355 |
Dec 17, 2021 | ¥8.46 | ¥8.52 | ¥8.45 | ¥8.46 | 3 368 038 |
Dec 16, 2021 | ¥8.53 | ¥8.56 | ¥8.44 | ¥8.54 | 3 697 049 |
Dec 15, 2021 | ¥8.55 | ¥8.59 | ¥8.48 | ¥8.53 | 4 830 650 |
Dec 14, 2021 | ¥8.52 | ¥8.64 | ¥8.48 | ¥8.60 | 6 892 821 |
Dec 13, 2021 | ¥8.49 | ¥8.63 | ¥8.39 | ¥8.58 | 6 429 567 |
Dec 10, 2021 | ¥8.36 | ¥8.50 | ¥8.30 | ¥8.48 | 7 877 700 |
Dec 09, 2021 | ¥8.27 | ¥8.38 | ¥8.26 | ¥8.37 | 5 081 612 |
Dec 08, 2021 | ¥8.19 | ¥8.30 | ¥8.17 | ¥8.29 | 3 939 508 |
Dec 07, 2021 | ¥8.19 | ¥8.22 | ¥8.14 | ¥8.19 | 3 272 332 |
Dec 06, 2021 | ¥8.24 | ¥8.24 | ¥8.17 | ¥8.18 | 2 692 012 |
Dec 03, 2021 | ¥8.27 | ¥8.27 | ¥8.20 | ¥8.23 | 2 230 000 |
Dec 02, 2021 | ¥8.28 | ¥8.28 | ¥8.21 | ¥8.22 | 2 435 667 |
Dec 01, 2021 | ¥8.20 | ¥8.25 | ¥8.13 | ¥8.23 | 2 752 900 |
Nov 30, 2021 | ¥8.15 | ¥8.22 | ¥8.14 | ¥8.20 | 2 989 818 |
Nov 29, 2021 | ¥8.21 | ¥8.25 | ¥8.14 | ¥8.14 | 4 081 578 |
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 002582.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002582.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 002582.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.