Fujian Septwolves Industry Co Ltd Stock Price (Quote)
¥5.84
+0.0300 (+0.516%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.18 | ¥5.86 | Friday, 17th May 2024 002029.SZ stock ended at ¥5.84. This is 0.516% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.39% from a day low at ¥5.76 to a day high of ¥5.84. |
90 days | ¥5.00 | ¥5.87 | |
52 weeks | ¥4.38 | ¥6.78 |
Date | Open | High | Low | Close | Volume |
Jul 21, 2023 | ¥6.56 | ¥6.63 | ¥6.38 | ¥6.44 | 15 907 087 |
Jul 20, 2023 | ¥6.42 | ¥6.58 | ¥6.39 | ¥6.55 | 16 325 839 |
Jul 19, 2023 | ¥6.34 | ¥6.43 | ¥6.33 | ¥6.39 | 4 654 000 |
Jul 18, 2023 | ¥6.35 | ¥6.40 | ¥6.29 | ¥6.37 | 5 382 573 |
Jul 17, 2023 | ¥6.48 | ¥6.49 | ¥6.29 | ¥6.35 | 8 066 500 |
Jul 14, 2023 | ¥6.26 | ¥6.42 | ¥6.25 | ¥6.37 | 6 410 106 |
Jul 13, 2023 | ¥6.25 | ¥6.29 | ¥6.20 | ¥6.28 | 5 921 806 |
Jul 12, 2023 | ¥6.34 | ¥6.38 | ¥6.20 | ¥6.21 | 5 280 106 |
Jul 11, 2023 | ¥6.26 | ¥6.36 | ¥6.22 | ¥6.34 | 6 557 100 |
Jul 10, 2023 | ¥6.26 | ¥6.31 | ¥6.23 | ¥6.25 | 3 586 580 |
Jul 07, 2023 | ¥6.24 | ¥6.30 | ¥6.20 | ¥6.26 | 3 978 047 |
Jul 06, 2023 | ¥6.25 | ¥6.31 | ¥6.22 | ¥6.26 | 3 502 100 |
Jul 05, 2023 | ¥6.28 | ¥6.31 | ¥6.22 | ¥6.25 | 4 047 220 |
Jul 04, 2023 | ¥6.27 | ¥6.31 | ¥6.20 | ¥6.28 | 4 820 742 |
Jul 03, 2023 | ¥6.32 | ¥6.35 | ¥6.21 | ¥6.26 | 7 305 908 |
Jun 30, 2023 | ¥6.22 | ¥6.37 | ¥6.18 | ¥6.35 | 9 210 589 |
Jun 29, 2023 | ¥6.01 | ¥6.30 | ¥6.00 | ¥6.19 | 8 950 100 |
Jun 28, 2023 | ¥6.00 | ¥6.06 | ¥5.91 | ¥6.02 | 5 590 900 |
Jun 27, 2023 | ¥5.82 | ¥6.03 | ¥5.78 | ¥5.99 | 7 323 300 |
Jun 26, 2023 | ¥5.82 | ¥5.87 | ¥5.76 | ¥5.79 | 5 043 800 |
Jun 21, 2023 | ¥5.91 | ¥5.95 | ¥5.84 | ¥5.84 | 5 041 210 |
Jun 20, 2023 | ¥5.98 | ¥6.00 | ¥5.90 | ¥5.90 | 6 898 000 |
Jun 19, 2023 | ¥6.18 | ¥6.18 | ¥5.99 | ¥6.01 | 8 518 201 |
Jun 16, 2023 | ¥6.16 | ¥6.21 | ¥6.12 | ¥6.16 | 5 206 193 |
Jun 15, 2023 | ¥6.25 | ¥6.27 | ¥6.14 | ¥6.16 | 6 275 800 |
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 002029.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002029.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 002029.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.