SZCE:002702
HaiXin Foods Co Ltd Stock Price (Quote)
¥3.68
+0 (+0%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.42 | ¥4.48 | Friday, 14th Jun 2024 002702.SZ stock ended at ¥3.68. During the day the stock fluctuated 5.38% from a day low at ¥3.53 to a day high of ¥3.72. |
90 days | ¥3.42 | ¥5.39 | |
52 weeks | ¥3.18 | ¥7.60 |
Historical HaiXin Foods Co Ltd prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | ¥3.53 | ¥3.72 | ¥3.53 | ¥3.68 | 6 453 250 |
Jun 13, 2024 | ¥3.53 | ¥3.77 | ¥3.53 | ¥3.68 | 9 518 950 |
Jun 12, 2024 | ¥3.53 | ¥3.76 | ¥3.53 | ¥3.74 | 9 336 542 |
Jun 11, 2024 | ¥3.53 | ¥3.67 | ¥3.53 | ¥3.65 | 10 679 701 |
Jun 07, 2024 | ¥4.00 | ¥4.00 | ¥3.46 | ¥3.66 | 18 083 660 |
Jun 06, 2024 | ¥4.00 | ¥4.00 | ¥3.42 | ¥3.49 | 21 335 574 |
Jun 05, 2024 | ¥4.00 | ¥4.00 | ¥3.77 | ¥3.77 | 11 630 230 |
Jun 04, 2024 | ¥4.00 | ¥4.00 | ¥3.84 | ¥3.90 | 10 086 546 |
Jun 03, 2024 | ¥4.00 | ¥4.02 | ¥3.85 | ¥3.90 | 14 814 810 |
May 31, 2024 | ¥4.00 | ¥4.04 | ¥3.97 | ¥4.00 | 9 369 619 |
May 30, 2024 | ¥4.19 | ¥4.19 | ¥3.99 | ¥4.01 | 11 895 647 |
May 29, 2024 | ¥4.19 | ¥4.19 | ¥4.06 | ¥4.09 | 9 720 500 |
May 28, 2024 | ¥4.19 | ¥4.20 | ¥4.07 | ¥4.08 | 11 763 451 |
May 24, 2024 | ¥4.35 | ¥4.35 | ¥4.17 | ¥4.25 | 16 122 557 |
May 23, 2024 | ¥4.35 | ¥4.35 | ¥4.17 | ¥4.19 | 15 915 790 |
May 22, 2024 | ¥4.35 | ¥4.40 | ¥4.32 | ¥4.34 | 11 605 080 |
May 21, 2024 | ¥4.35 | ¥4.45 | ¥4.33 | ¥4.37 | 13 961 020 |
May 20, 2024 | ¥4.35 | ¥4.48 | ¥4.35 | ¥4.43 | 17 798 774 |
May 17, 2024 | ¥4.35 | ¥4.45 | ¥4.33 | ¥4.39 | 14 749 366 |
May 16, 2024 | ¥4.35 | ¥4.43 | ¥4.34 | ¥4.38 | 14 859 364 |
May 15, 2024 | ¥4.35 | ¥4.45 | ¥4.34 | ¥4.35 | 18 519 351 |
May 14, 2024 | ¥4.35 | ¥4.56 | ¥4.35 | ¥4.43 | 25 695 363 |
May 13, 2024 | ¥4.35 | ¥4.43 | ¥4.25 | ¥4.38 | 24 720 310 |
May 10, 2024 | ¥4.28 | ¥4.50 | ¥4.28 | ¥4.34 | 29 635 874 |
May 09, 2024 | ¥4.21 | ¥4.38 | ¥4.21 | ¥4.36 | 14 512 450 |
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 002702.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002702.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 002702.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.