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 |
Nov 10, 2023 | ¥2.96 | ¥2.98 | ¥2.95 | ¥2.97 | 56 522 400 |
Nov 09, 2023 | ¥2.95 | ¥2.99 | ¥2.95 | ¥2.97 | 81 535 609 |
Nov 08, 2023 | ¥2.99 | ¥3.00 | ¥2.95 | ¥2.97 | 138 266 951 |
Nov 07, 2023 | ¥3.01 | ¥3.03 | ¥2.98 | ¥3.01 | 107 051 529 |
Nov 06, 2023 | ¥3.07 | ¥3.08 | ¥3.01 | ¥3.03 | 145 807 850 |
Nov 03, 2023 | ¥3.07 | ¥3.09 | ¥3.05 | ¥3.06 | 64 018 900 |
Nov 02, 2023 | ¥3.10 | ¥3.13 | ¥3.05 | ¥3.06 | 73 007 500 |
Nov 01, 2023 | ¥3.13 | ¥3.13 | ¥3.09 | ¥3.09 | 42 086 435 |
Oct 31, 2023 | ¥3.14 | ¥3.15 | ¥3.09 | ¥3.11 | 63 824 150 |
Oct 30, 2023 | ¥3.08 | ¥3.14 | ¥3.08 | ¥3.12 | 93 353 800 |
Oct 27, 2023 | ¥3.03 | ¥3.10 | ¥3.02 | ¥3.08 | 69 034 705 |
Oct 26, 2023 | ¥3.04 | ¥3.06 | ¥2.98 | ¥3.04 | 72 692 746 |
Oct 25, 2023 | ¥3.04 | ¥3.09 | ¥3.04 | ¥3.05 | 80 419 277 |
Oct 24, 2023 | ¥2.94 | ¥3.00 | ¥2.94 | ¥2.99 | 70 481 900 |
Oct 23, 2023 | ¥3.02 | ¥3.02 | ¥2.93 | ¥2.94 | 73 890 406 |
Oct 20, 2023 | ¥3.05 | ¥3.07 | ¥3.03 | ¥3.03 | 57 407 800 |
Oct 19, 2023 | ¥3.08 | ¥3.10 | ¥3.05 | ¥3.05 | 60 657 555 |
Oct 18, 2023 | ¥3.10 | ¥3.13 | ¥3.08 | ¥3.08 | 54 118 358 |
Oct 17, 2023 | ¥3.14 | ¥3.15 | ¥3.07 | ¥3.11 | 72 250 745 |
Oct 16, 2023 | ¥3.17 | ¥3.18 | ¥3.12 | ¥3.14 | 68 176 890 |
Oct 13, 2023 | ¥3.20 | ¥3.20 | ¥3.15 | ¥3.16 | 66 806 900 |
Oct 12, 2023 | ¥3.14 | ¥3.23 | ¥3.14 | ¥3.22 | 88 997 680 |
Oct 11, 2023 | ¥3.18 | ¥3.19 | ¥3.13 | ¥3.14 | 69 078 404 |
Oct 10, 2023 | ¥3.22 | ¥3.23 | ¥3.16 | ¥3.17 | 70 220 143 |
Oct 09, 2023 | ¥3.19 | ¥3.21 | ¥3.14 | ¥3.19 | 57 829 448 |
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.