SZCE:002057
Sinosteel Anhui Tianyuan Tech. Co., Ltd. Stock Price (Quote)
¥8.12
-0.0200 (-0.246%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.81 | ¥9.44 | Thursday, 16th May 2024 002057.SZ stock ended at ¥8.12. This is 0.246% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 9.29% from a day low at ¥8.07 to a day high of ¥8.82. |
90 days | ¥6.60 | ¥9.44 | |
52 weeks | ¥5.57 | ¥10.90 |
Date | Open | High | Low | Close | Volume |
May 16, 2024 | ¥8.82 | ¥8.82 | ¥8.07 | ¥8.12 | 19 065 194 |
May 15, 2024 | ¥8.82 | ¥8.82 | ¥8.12 | ¥8.14 | 20 962 831 |
May 14, 2024 | ¥8.82 | ¥8.82 | ¥8.30 | ¥8.34 | 27 707 378 |
May 13, 2024 | ¥8.82 | ¥8.88 | ¥8.39 | ¥8.45 | 40 796 123 |
May 10, 2024 | ¥8.58 | ¥9.00 | ¥8.58 | ¥8.82 | 52 338 838 |
May 09, 2024 | ¥7.97 | ¥9.44 | ¥7.97 | ¥8.80 | 79 106 713 |
May 08, 2024 | ¥7.97 | ¥8.75 | ¥7.97 | ¥8.62 | 61 734 929 |
May 07, 2024 | ¥7.97 | ¥8.34 | ¥7.97 | ¥8.18 | 28 591 087 |
May 06, 2024 | ¥7.97 | ¥8.39 | ¥7.85 | ¥8.32 | 40 718 121 |
Apr 30, 2024 | ¥7.65 | ¥7.99 | ¥7.65 | ¥7.79 | 24 362 408 |
Apr 29, 2024 | ¥7.65 | ¥8.08 | ¥7.65 | ¥8.02 | 39 493 373 |
Apr 26, 2024 | ¥8.06 | ¥8.06 | ¥7.60 | ¥7.61 | 26 620 049 |
Apr 25, 2024 | ¥8.06 | ¥8.06 | ¥7.56 | ¥7.77 | 27 017 417 |
Apr 24, 2024 | ¥8.06 | ¥8.06 | ¥7.47 | ¥7.77 | 30 178 141 |
Apr 23, 2024 | ¥8.06 | ¥8.06 | ¥7.60 | ¥7.63 | 23 968 019 |
Apr 22, 2024 | ¥8.06 | ¥8.06 | ¥7.70 | ¥7.74 | 35 516 450 |
Apr 19, 2024 | ¥7.57 | ¥8.35 | ¥7.57 | ¥7.99 | 72 317 050 |
Apr 18, 2024 | ¥7.57 | ¥7.99 | ¥7.33 | ¥7.99 | 43 933 645 |
Apr 17, 2024 | ¥7.57 | ¥7.57 | ¥6.98 | ¥7.26 | 17 674 141 |
Apr 16, 2024 | ¥7.57 | ¥7.57 | ¥6.81 | ¥6.82 | 17 782 944 |
Apr 15, 2024 | ¥7.57 | ¥7.57 | ¥7.01 | ¥7.23 | 22 655 284 |
Apr 12, 2024 | ¥7.43 | ¥7.66 | ¥7.39 | ¥7.43 | 15 668 150 |
Apr 11, 2024 | ¥7.43 | ¥7.80 | ¥7.41 | ¥7.60 | 20 021 085 |
Apr 10, 2024 | ¥7.43 | ¥7.89 | ¥7.43 | ¥7.63 | 22 920 956 |
Apr 09, 2024 | ¥7.43 | ¥7.94 | ¥7.43 | ¥7.88 | 33 535 912 |
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 002057.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002057.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 002057.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.