SZCE:000630
Tongling Nonferrous Metals Group Co Ltd Stock Price (Quote)
¥4.11
+0.0700 (+1.73%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.77 | ¥4.44 | Friday, 17th May 2024 000630.SZ stock ended at ¥4.11. This is 1.73% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.26% from a day low at ¥3.99 to a day high of ¥4.12. |
90 days | ¥3.18 | ¥4.44 | |
52 weeks | ¥2.79 | ¥4.44 |
Date | Open | High | Low | Close | Volume |
Mar 01, 2024 | ¥3.27 | ¥3.28 | ¥3.22 | ¥3.26 | 165 745 249 |
Feb 29, 2024 | ¥3.20 | ¥3.28 | ¥3.18 | ¥3.28 | 181 963 329 |
Feb 28, 2024 | ¥3.27 | ¥3.30 | ¥3.22 | ¥3.22 | 165 783 472 |
Feb 27, 2024 | ¥3.28 | ¥3.31 | ¥3.24 | ¥3.29 | 191 221 033 |
Feb 26, 2024 | ¥3.41 | ¥3.43 | ¥3.29 | ¥3.30 | 179 278 020 |
Feb 23, 2024 | ¥3.40 | ¥3.47 | ¥3.38 | ¥3.43 | 161 523 974 |
Feb 22, 2024 | ¥3.33 | ¥3.41 | ¥3.30 | ¥3.40 | 167 236 831 |
Feb 21, 2024 | ¥3.37 | ¥3.42 | ¥3.32 | ¥3.34 | 173 757 242 |
Feb 20, 2024 | ¥3.30 | ¥3.42 | ¥3.28 | ¥3.37 | 194 232 928 |
Feb 19, 2024 | ¥3.27 | ¥3.33 | ¥3.19 | ¥3.32 | 206 327 768 |
Feb 17, 2024 | ¥3.24 | ¥3.24 | ¥3.24 | ¥3.24 | 0 |
Feb 09, 2024 | ¥3.24 | ¥3.24 | ¥3.24 | ¥3.24 | 0 |
Feb 08, 2024 | ¥3.25 | ¥3.35 | ¥3.20 | ¥3.24 | 233 461 860 |
Feb 07, 2024 | ¥3.18 | ¥3.27 | ¥3.16 | ¥3.27 | 217 748 563 |
Feb 06, 2024 | ¥2.98 | ¥3.19 | ¥2.95 | ¥3.18 | 211 639 102 |
Feb 05, 2024 | ¥3.00 | ¥3.09 | ¥2.94 | ¥2.99 | 214 796 900 |
Feb 02, 2024 | ¥3.05 | ¥3.10 | ¥2.94 | ¥3.02 | 178 896 106 |
Feb 01, 2024 | ¥3.00 | ¥3.15 | ¥2.98 | ¥3.06 | 184 135 525 |
Jan 31, 2024 | ¥3.06 | ¥3.09 | ¥3.01 | ¥3.02 | 131 648 700 |
Jan 30, 2024 | ¥3.11 | ¥3.13 | ¥3.03 | ¥3.05 | 107 429 984 |
Jan 29, 2024 | ¥3.17 | ¥3.20 | ¥3.11 | ¥3.12 | 113 992 400 |
Jan 26, 2024 | ¥3.12 | ¥3.20 | ¥3.10 | ¥3.16 | 144 524 781 |
Jan 25, 2024 | ¥3.04 | ¥3.12 | ¥3.03 | ¥3.12 | 158 363 551 |
Jan 24, 2024 | ¥2.95 | ¥3.02 | ¥2.88 | ¥3.01 | 182 925 324 |
Jan 23, 2024 | ¥2.93 | ¥2.96 | ¥2.86 | ¥2.92 | 219 913 446 |
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 000630.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000630.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 000630.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.