SZCE:000061
Shenzhen Agricultural Prdts Grp Co Ltd Stock Price (Quote)
¥5.73
-0.140 (-2.39%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.71 | ¥6.15 | Thursday, 23rd May 2024 000061.SZ stock ended at ¥5.73. This is 2.39% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.80% from a day low at ¥5.71 to a day high of ¥5.87. |
90 days | ¥5.52 | ¥6.42 | |
52 weeks | ¥5.00 | ¥7.30 |
Date | Open | High | Low | Close | Volume |
Mar 07, 2024 | ¥6.12 | ¥6.20 | ¥6.07 | ¥6.11 | 6 263 601 |
Mar 06, 2024 | ¥6.08 | ¥6.13 | ¥5.98 | ¥6.08 | 7 325 100 |
Mar 05, 2024 | ¥6.12 | ¥6.16 | ¥6.05 | ¥6.08 | 6 067 063 |
Mar 04, 2024 | ¥6.17 | ¥6.20 | ¥6.00 | ¥6.15 | 7 162 031 |
Mar 01, 2024 | ¥6.23 | ¥6.28 | ¥6.13 | ¥6.18 | 8 616 530 |
Feb 29, 2024 | ¥6.03 | ¥6.25 | ¥6.01 | ¥6.24 | 9 434 342 |
Feb 28, 2024 | ¥6.20 | ¥6.28 | ¥6.06 | ¥6.06 | 11 728 751 |
Feb 27, 2024 | ¥6.15 | ¥6.20 | ¥6.10 | ¥6.20 | 7 584 626 |
Feb 26, 2024 | ¥6.16 | ¥6.20 | ¥6.06 | ¥6.12 | 6 585 101 |
Feb 23, 2024 | ¥6.20 | ¥6.20 | ¥6.06 | ¥6.16 | 7 725 192 |
Feb 22, 2024 | ¥6.25 | ¥6.26 | ¥6.14 | ¥6.20 | 8 138 083 |
Feb 21, 2024 | ¥6.14 | ¥6.41 | ¥6.05 | ¥6.21 | 8 965 468 |
Feb 20, 2024 | ¥6.16 | ¥6.22 | ¥6.07 | ¥6.14 | 8 566 760 |
Feb 19, 2024 | ¥6.14 | ¥6.54 | ¥6.13 | ¥6.20 | 16 077 319 |
Feb 17, 2024 | ¥6.19 | ¥6.19 | ¥6.19 | ¥6.19 | 0 |
Feb 09, 2024 | ¥6.19 | ¥6.19 | ¥6.19 | ¥6.19 | 0 |
Feb 08, 2024 | ¥6.08 | ¥6.29 | ¥5.95 | ¥6.19 | 17 129 661 |
Feb 07, 2024 | ¥5.53 | ¥5.95 | ¥5.52 | ¥5.88 | 18 544 629 |
Feb 06, 2024 | ¥5.13 | ¥5.62 | ¥5.00 | ¥5.58 | 14 928 353 |
Feb 05, 2024 | ¥5.45 | ¥5.49 | ¥5.02 | ¥5.17 | 14 633 808 |
Feb 02, 2024 | ¥5.71 | ¥5.87 | ¥5.40 | ¥5.51 | 10 840 459 |
Feb 01, 2024 | ¥5.77 | ¥5.87 | ¥5.57 | ¥5.73 | 14 502 632 |
Jan 31, 2024 | ¥5.99 | ¥6.02 | ¥5.80 | ¥5.84 | 8 714 700 |
Jan 30, 2024 | ¥6.12 | ¥6.21 | ¥5.96 | ¥5.97 | 6 701 885 |
Jan 29, 2024 | ¥6.19 | ¥6.30 | ¥6.10 | ¥6.10 | 6 173 227 |
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 000061.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000061.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 000061.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.