SZCE:000692
Shenyang Huitian Thermal Power Co., Ltd. Stock Price (Quote)
¥2.97
+0.130 (+4.58%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.88 | ¥2.99 | Wednesday, 15th May 2024 000692.SZ stock ended at ¥2.97. This is 4.58% more than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 6.81% from a day low at ¥2.79 to a day high of ¥2.98. |
90 days | ¥1.88 | ¥3.04 | |
52 weeks | ¥1.88 | ¥3.44 |
Date | Open | High | Low | Close | Volume |
May 15, 2024 | ¥2.79 | ¥2.98 | ¥2.79 | ¥2.97 | 6 169 200 |
May 14, 2024 | ¥2.79 | ¥2.86 | ¥2.79 | ¥2.84 | 2 632 800 |
May 13, 2024 | ¥2.79 | ¥2.83 | ¥2.76 | ¥2.80 | 2 952 400 |
May 10, 2024 | ¥2.83 | ¥2.83 | ¥2.71 | ¥2.78 | 7 393 487 |
May 09, 2024 | ¥2.66 | ¥2.89 | ¥2.66 | ¥2.79 | 7 497 355 |
May 08, 2024 | ¥2.66 | ¥2.99 | ¥2.66 | ¥2.80 | 11 909 550 |
May 07, 2024 | ¥2.66 | ¥2.86 | ¥2.66 | ¥2.86 | 4 821 012 |
May 06, 2024 | ¥2.66 | ¥2.81 | ¥2.66 | ¥2.72 | 9 953 965 |
Apr 30, 2024 | ¥2.51 | ¥2.72 | ¥2.51 | ¥2.72 | 14 217 581 |
Apr 29, 2024 | ¥2.51 | ¥2.64 | ¥2.40 | ¥2.59 | 19 161 589 |
Apr 26, 2024 | ¥2.04 | ¥2.51 | ¥2.04 | ¥2.51 | 6 198 253 |
Apr 25, 2024 | ¥2.04 | ¥2.39 | ¥2.04 | ¥2.39 | 795 200 |
Apr 24, 2024 | ¥2.04 | ¥2.28 | ¥2.04 | ¥2.28 | 508 000 |
Apr 23, 2024 | ¥2.04 | ¥2.17 | ¥2.04 | ¥2.17 | 5 863 252 |
Apr 22, 2024 | ¥2.04 | ¥2.08 | ¥1.88 | ¥2.07 | 14 504 203 |
Apr 19, 2024 | ¥2.38 | ¥2.38 | ¥1.98 | ¥1.98 | 6 156 500 |
Apr 18, 2024 | ¥2.38 | ¥2.38 | ¥2.02 | ¥2.08 | 7 524 453 |
Apr 17, 2024 | ¥2.38 | ¥2.38 | ¥2.04 | ¥2.05 | 18 551 156 |
Apr 16, 2024 | ¥2.38 | ¥2.44 | ¥2.15 | ¥2.15 | 5 165 100 |
Apr 15, 2024 | ¥2.38 | ¥2.44 | ¥2.26 | ¥2.26 | 2 704 000 |
Apr 12, 2024 | ¥2.64 | ¥2.64 | ¥2.38 | ¥2.38 | 15 385 900 |
Apr 11, 2024 | ¥2.64 | ¥2.64 | ¥2.46 | ¥2.51 | 7 535 852 |
Apr 10, 2024 | ¥2.64 | ¥2.64 | ¥2.43 | ¥2.49 | 3 568 652 |
Apr 09, 2024 | ¥2.64 | ¥2.64 | ¥2.43 | ¥2.51 | 4 847 552 |
Apr 08, 2024 | ¥2.64 | ¥2.64 | ¥2.48 | ¥2.48 | 14 090 927 |
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 000692.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000692.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 000692.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.