Shunfa Hengye Corp Stock Price (Quote)
¥3.05
+0.130 (+4.45%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.58 | ¥3.05 | Friday, 17th May 2024 000631.SZ stock ended at ¥3.05. This is 4.45% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 8.16% from a day low at ¥2.82 to a day high of ¥3.05. |
90 days | ¥2.53 | ¥3.21 | |
52 weeks | ¥2.23 | ¥4.95 |
Date | Open | High | Low | Close | Volume |
Aug 25, 2023 | ¥2.88 | ¥2.95 | ¥2.86 | ¥2.92 | 8 600 958 |
Aug 24, 2023 | ¥2.95 | ¥2.95 | ¥2.87 | ¥2.88 | 6 876 479 |
Aug 23, 2023 | ¥2.95 | ¥2.98 | ¥2.92 | ¥2.92 | 7 874 922 |
Aug 22, 2023 | ¥2.99 | ¥3.02 | ¥2.95 | ¥2.96 | 10 240 733 |
Aug 21, 2023 | ¥3.02 | ¥3.07 | ¥2.98 | ¥2.99 | 10 704 111 |
Aug 18, 2023 | ¥3.10 | ¥3.14 | ¥3.04 | ¥3.04 | 7 004 648 |
Aug 17, 2023 | ¥3.10 | ¥3.13 | ¥3.06 | ¥3.11 | 7 001 900 |
Aug 16, 2023 | ¥3.05 | ¥3.16 | ¥3.04 | ¥3.11 | 7 939 100 |
Aug 15, 2023 | ¥3.11 | ¥3.12 | ¥3.05 | ¥3.08 | 8 307 700 |
Aug 14, 2023 | ¥3.06 | ¥3.13 | ¥3.05 | ¥3.11 | 13 305 659 |
Aug 11, 2023 | ¥3.13 | ¥3.19 | ¥3.10 | ¥3.10 | 12 371 196 |
Aug 10, 2023 | ¥3.13 | ¥3.15 | ¥3.09 | ¥3.12 | 5 210 096 |
Aug 09, 2023 | ¥3.12 | ¥3.15 | ¥3.08 | ¥3.12 | 6 947 520 |
Aug 08, 2023 | ¥3.17 | ¥3.19 | ¥3.09 | ¥3.12 | 12 626 439 |
Aug 07, 2023 | ¥3.22 | ¥3.22 | ¥3.14 | ¥3.16 | 14 933 090 |
Aug 04, 2023 | ¥3.28 | ¥3.30 | ¥3.20 | ¥3.22 | 13 145 859 |
Aug 03, 2023 | ¥3.25 | ¥3.28 | ¥3.19 | ¥3.27 | 13 220 339 |
Aug 02, 2023 | ¥3.21 | ¥3.30 | ¥3.20 | ¥3.26 | 17 840 488 |
Aug 01, 2023 | ¥3.23 | ¥3.26 | ¥3.19 | ¥3.22 | 17 528 639 |
Jul 31, 2023 | ¥3.15 | ¥3.24 | ¥3.14 | ¥3.22 | 17 362 419 |
Jul 28, 2023 | ¥3.13 | ¥3.17 | ¥3.10 | ¥3.15 | 17 841 191 |
Jul 27, 2023 | ¥3.08 | ¥3.15 | ¥2.98 | ¥3.12 | 18 821 049 |
Jul 26, 2023 | ¥3.06 | ¥3.15 | ¥3.03 | ¥3.12 | 23 031 612 |
Jul 25, 2023 | ¥2.95 | ¥3.07 | ¥2.95 | ¥3.06 | 12 753 991 |
Jul 24, 2023 | ¥2.98 | ¥2.99 | ¥2.91 | ¥2.95 | 5 641 400 |
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 000631.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000631.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 000631.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.