SZCE:000698
Shenyang Chemical Industry Co Ltd Stock Price (Quote)
¥3.77
+0.0300 (+0.80%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.13 | ¥3.98 | Friday, 17th May 2024 000698.SZ stock ended at ¥3.77. This is 0.80% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.42% from a day low at ¥3.72 to a day high of ¥3.81. |
90 days | ¥3.00 | ¥3.98 | |
52 weeks | ¥2.76 | ¥5.61 |
Date | Open | High | Low | Close | Volume |
Oct 06, 2023 | ¥4.11 | ¥4.11 | ¥4.11 | ¥4.11 | 0 |
Sep 28, 2023 | ¥4.08 | ¥4.14 | ¥4.07 | ¥4.11 | 4 068 400 |
Sep 27, 2023 | ¥4.07 | ¥4.10 | ¥4.05 | ¥4.06 | 3 970 400 |
Sep 26, 2023 | ¥4.13 | ¥4.13 | ¥4.06 | ¥4.06 | 4 819 548 |
Sep 25, 2023 | ¥4.20 | ¥4.21 | ¥4.12 | ¥4.13 | 5 818 130 |
Sep 22, 2023 | ¥4.20 | ¥4.24 | ¥4.16 | ¥4.20 | 6 295 589 |
Sep 21, 2023 | ¥4.30 | ¥4.31 | ¥4.21 | ¥4.21 | 6 122 195 |
Sep 20, 2023 | ¥4.27 | ¥4.32 | ¥4.20 | ¥4.30 | 7 616 627 |
Sep 19, 2023 | ¥4.27 | ¥4.36 | ¥4.25 | ¥4.30 | 8 515 701 |
Sep 18, 2023 | ¥4.26 | ¥4.28 | ¥4.21 | ¥4.27 | 3 799 600 |
Sep 15, 2023 | ¥4.25 | ¥4.29 | ¥4.23 | ¥4.25 | 4 676 900 |
Sep 14, 2023 | ¥4.25 | ¥4.25 | ¥4.20 | ¥4.23 | 3 773 176 |
Sep 13, 2023 | ¥4.24 | ¥4.27 | ¥4.21 | ¥4.23 | 3 744 256 |
Sep 12, 2023 | ¥4.25 | ¥4.27 | ¥4.22 | ¥4.24 | 3 120 700 |
Sep 11, 2023 | ¥4.24 | ¥4.28 | ¥4.22 | ¥4.26 | 4 946 701 |
Sep 08, 2023 | ¥4.24 | ¥4.26 | ¥4.20 | ¥4.21 | 3 738 001 |
Sep 07, 2023 | ¥4.30 | ¥4.30 | ¥4.23 | ¥4.24 | 4 527 800 |
Sep 06, 2023 | ¥4.28 | ¥4.30 | ¥4.26 | ¥4.29 | 4 121 300 |
Sep 05, 2023 | ¥4.29 | ¥4.29 | ¥4.25 | ¥4.26 | 4 594 200 |
Sep 04, 2023 | ¥4.22 | ¥4.30 | ¥4.19 | ¥4.30 | 8 606 311 |
Sep 01, 2023 | ¥4.16 | ¥4.21 | ¥4.13 | ¥4.19 | 5 141 700 |
Aug 31, 2023 | ¥4.15 | ¥4.17 | ¥4.08 | ¥4.15 | 7 441 004 |
Aug 30, 2023 | ¥4.20 | ¥4.23 | ¥4.13 | ¥4.15 | 4 613 110 |
Aug 29, 2023 | ¥4.16 | ¥4.20 | ¥4.13 | ¥4.19 | 5 910 111 |
Aug 28, 2023 | ¥4.24 | ¥4.25 | ¥4.12 | ¥4.15 | 11 178 956 |
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 000698.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000698.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 000698.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.