SZCE:002378
Chongyi Zhangyuan Tungsten Co.,Ltd. Stock Price (Quote)
¥6.78
-0.110 (-1.60%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.17 | ¥7.34 | Thursday, 16th May 2024 002378.SZ stock ended at ¥6.78. This is 1.60% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 7.57% from a day low at ¥6.74 to a day high of ¥7.25. |
90 days | ¥4.54 | ¥7.50 | |
52 weeks | ¥3.80 | ¥7.78 |
Date | Open | High | Low | Close | Volume |
Feb 29, 2024 | ¥4.79 | ¥4.89 | ¥4.75 | ¥4.88 | 9 704 818 |
Feb 28, 2024 | ¥4.98 | ¥5.11 | ¥4.72 | ¥4.72 | 13 447 657 |
Feb 27, 2024 | ¥4.83 | ¥4.95 | ¥4.80 | ¥4.94 | 8 807 050 |
Feb 26, 2024 | ¥4.86 | ¥4.89 | ¥4.76 | ¥4.81 | 9 914 150 |
Feb 23, 2024 | ¥4.76 | ¥4.82 | ¥4.69 | ¥4.82 | 8 360 070 |
Feb 22, 2024 | ¥4.71 | ¥4.78 | ¥4.66 | ¥4.74 | 6 447 330 |
Feb 21, 2024 | ¥4.64 | ¥4.82 | ¥4.57 | ¥4.71 | 11 873 246 |
Feb 20, 2024 | ¥4.65 | ¥4.68 | ¥4.54 | ¥4.65 | 7 334 661 |
Feb 19, 2024 | ¥4.72 | ¥4.80 | ¥4.61 | ¥4.67 | 15 850 587 |
Feb 17, 2024 | ¥4.72 | ¥4.72 | ¥4.72 | ¥4.72 | 0 |
Feb 09, 2024 | ¥4.72 | ¥4.72 | ¥4.72 | ¥4.72 | 0 |
Feb 08, 2024 | ¥4.44 | ¥4.83 | ¥4.38 | ¥4.72 | 18 784 020 |
Feb 07, 2024 | ¥4.21 | ¥4.48 | ¥4.16 | ¥4.40 | 16 082 910 |
Feb 06, 2024 | ¥3.86 | ¥4.28 | ¥3.80 | ¥4.18 | 16 587 967 |
Feb 05, 2024 | ¥4.24 | ¥4.25 | ¥3.83 | ¥3.91 | 18 771 820 |
Feb 02, 2024 | ¥4.57 | ¥4.57 | ¥4.08 | ¥4.25 | 12 663 227 |
Feb 01, 2024 | ¥4.59 | ¥4.62 | ¥4.40 | ¥4.49 | 10 390 219 |
Jan 31, 2024 | ¥4.79 | ¥4.82 | ¥4.57 | ¥4.59 | 9 000 850 |
Jan 30, 2024 | ¥4.87 | ¥4.96 | ¥4.77 | ¥4.79 | 6 219 170 |
Jan 29, 2024 | ¥5.05 | ¥5.10 | ¥4.91 | ¥4.92 | 6 241 769 |
Jan 26, 2024 | ¥5.00 | ¥5.13 | ¥4.99 | ¥5.04 | 7 298 081 |
Jan 25, 2024 | ¥4.82 | ¥5.04 | ¥4.80 | ¥5.04 | 7 746 842 |
Jan 24, 2024 | ¥4.74 | ¥4.82 | ¥4.62 | ¥4.81 | 7 071 983 |
Jan 23, 2024 | ¥4.63 | ¥4.77 | ¥4.55 | ¥4.74 | 8 711 353 |
Jan 22, 2024 | ¥5.01 | ¥5.01 | ¥4.63 | ¥4.68 | 10 605 240 |
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 002378.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002378.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 002378.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.