SZCE:000612
JiaoZuo WanFang Alum. Manufac. Co.,Ltd. Stock Price (Quote)
¥7.88
-0.0300 (-0.379%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.11 | ¥8.75 | Friday, 17th May 2024 000612.SZ stock ended at ¥7.88. This is 0.379% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.33% from a day low at ¥7.64 to a day high of ¥8.20. |
90 days | ¥4.53 | ¥8.75 | |
52 weeks | ¥3.91 | ¥8.75 |
Date | Open | High | Low | Close | Volume |
Jan 22, 2024 | ¥5.17 | ¥5.21 | ¥4.84 | ¥4.89 | 14 166 952 |
Jan 19, 2024 | ¥5.25 | ¥5.30 | ¥5.18 | ¥5.19 | 12 657 720 |
Jan 18, 2024 | ¥5.40 | ¥5.42 | ¥5.05 | ¥5.21 | 15 230 348 |
Jan 17, 2024 | ¥5.59 | ¥5.62 | ¥5.42 | ¥5.43 | 6 695 349 |
Jan 16, 2024 | ¥5.65 | ¥5.65 | ¥5.50 | ¥5.58 | 7 525 590 |
Jan 15, 2024 | ¥5.69 | ¥5.69 | ¥5.59 | ¥5.63 | 5 648 123 |
Jan 12, 2024 | ¥5.65 | ¥5.74 | ¥5.62 | ¥5.66 | 6 636 500 |
Jan 11, 2024 | ¥5.58 | ¥5.65 | ¥5.54 | ¥5.60 | 7 358 880 |
Jan 10, 2024 | ¥5.66 | ¥5.66 | ¥5.52 | ¥5.59 | 7 962 548 |
Jan 09, 2024 | ¥5.63 | ¥5.69 | ¥5.57 | ¥5.65 | 7 659 458 |
Jan 08, 2024 | ¥5.69 | ¥5.73 | ¥5.61 | ¥5.63 | 6 870 200 |
Jan 05, 2024 | ¥5.78 | ¥5.82 | ¥5.69 | ¥5.72 | 7 672 597 |
Jan 04, 2024 | ¥5.77 | ¥5.80 | ¥5.74 | ¥5.78 | 8 810 204 |
Jan 03, 2024 | ¥5.78 | ¥5.81 | ¥5.73 | ¥5.78 | 11 310 318 |
Jan 02, 2024 | ¥5.75 | ¥5.83 | ¥5.71 | ¥5.80 | 12 546 387 |
Dec 29, 2023 | ¥5.68 | ¥5.77 | ¥5.65 | ¥5.75 | 7 794 100 |
Dec 28, 2023 | ¥5.60 | ¥5.70 | ¥5.54 | ¥5.68 | 8 138 343 |
Dec 27, 2023 | ¥5.45 | ¥5.59 | ¥5.44 | ¥5.57 | 7 110 502 |
Dec 26, 2023 | ¥5.54 | ¥5.56 | ¥5.44 | ¥5.44 | 5 645 400 |
Dec 25, 2023 | ¥5.55 | ¥5.55 | ¥5.41 | ¥5.51 | 9 417 437 |
Dec 22, 2023 | ¥5.55 | ¥5.61 | ¥5.48 | ¥5.56 | 6 704 300 |
Dec 21, 2023 | ¥5.51 | ¥5.56 | ¥5.43 | ¥5.55 | 6 678 410 |
Dec 20, 2023 | ¥5.56 | ¥5.61 | ¥5.52 | ¥5.54 | 5 575 143 |
Dec 19, 2023 | ¥5.55 | ¥5.59 | ¥5.50 | ¥5.54 | 5 960 544 |
Dec 18, 2023 | ¥5.66 | ¥5.66 | ¥5.54 | ¥5.56 | 7 486 249 |
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 000612.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000612.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 000612.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.