SZCE:000792
Qinghai Salt Lake Potash Company Limited Stock Price (Quote)
¥17.29
+0.0400 (+0.232%)
At Close: Jun 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥16.52 | ¥17.75 | Thursday, 27th Jun 2024 000792.SZ stock ended at ¥17.29. This is 0.232% more than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 5.36% from a day low at ¥16.59 to a day high of ¥17.48. |
90 days | ¥15.86 | ¥18.55 | |
52 weeks | ¥13.10 | ¥20.44 |
Historical Qinghai Salt Lake Potash Company Limited prices
Date | Open | High | Low | Close | Volume |
Jun 27, 2024 | ¥16.59 | ¥17.48 | ¥16.59 | ¥17.29 | 30 401 392 |
Jun 26, 2024 | ¥16.59 | ¥17.28 | ¥16.59 | ¥17.25 | 30 368 987 |
Jun 25, 2024 | ¥16.59 | ¥17.11 | ¥16.59 | ¥16.79 | 22 102 993 |
Jun 24, 2024 | ¥16.59 | ¥17.53 | ¥16.59 | ¥16.94 | 38 763 043 |
Jun 21, 2024 | ¥17.22 | ¥17.65 | ¥16.58 | ¥17.50 | 90 086 651 |
Jun 20, 2024 | ¥17.22 | ¥17.22 | ¥16.52 | ¥16.58 | 17 579 800 |
Jun 18, 2024 | ¥17.22 | ¥17.22 | ¥16.84 | ¥17.05 | 14 850 610 |
Jun 17, 2024 | ¥17.22 | ¥17.22 | ¥16.95 | ¥17.00 | 11 742 850 |
Jun 14, 2024 | ¥17.17 | ¥17.27 | ¥16.79 | ¥17.06 | 33 679 984 |
Jun 13, 2024 | ¥17.17 | ¥17.57 | ¥17.17 | ¥17.31 | 17 787 638 |
Jun 12, 2024 | ¥17.17 | ¥17.55 | ¥17.17 | ¥17.43 | 21 220 273 |
Jun 11, 2024 | ¥17.17 | ¥17.29 | ¥16.94 | ¥17.23 | 16 289 620 |
Jun 07, 2024 | ¥17.53 | ¥17.53 | ¥17.05 | ¥17.18 | 22 509 791 |
Jun 06, 2024 | ¥17.53 | ¥17.53 | ¥17.06 | ¥17.11 | 24 948 647 |
Jun 05, 2024 | ¥17.53 | ¥17.54 | ¥17.20 | ¥17.24 | 16 693 921 |
Jun 04, 2024 | ¥17.53 | ¥17.55 | ¥17.13 | ¥17.48 | 19 371 100 |
Jun 03, 2024 | ¥17.53 | ¥17.53 | ¥17.13 | ¥17.26 | 18 425 801 |
May 31, 2024 | ¥17.53 | ¥17.66 | ¥17.18 | ¥17.29 | 24 049 815 |
May 30, 2024 | ¥17.31 | ¥17.75 | ¥17.31 | ¥17.52 | 25 775 782 |
May 29, 2024 | ¥17.31 | ¥17.54 | ¥17.29 | ¥17.37 | 16 045 128 |
May 28, 2024 | ¥17.31 | ¥17.64 | ¥17.31 | ¥17.39 | 16 924 724 |
May 27, 2024 | ¥17.31 | ¥17.50 | ¥17.11 | ¥17.49 | 18 523 924 |
May 24, 2024 | ¥17.69 | ¥17.69 | ¥17.19 | ¥17.19 | 21 320 499 |
May 23, 2024 | ¥17.69 | ¥17.86 | ¥17.29 | ¥17.37 | 40 260 420 |
May 22, 2024 | ¥17.69 | ¥18.29 | ¥17.69 | ¥17.93 | 27 731 305 |
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 000792.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000792.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 000792.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.