SZCE:200771
Hangzhou Steam Turbine Co., Ltd. Stock Price (Quote)
¥6.92
+0 (+0%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.78 | ¥7.57 | Friday, 28th Jun 2024 200771.SZ stock ended at ¥6.92. During the day the stock fluctuated 1.16% from a day low at ¥6.90 to a day high of ¥6.98. |
90 days | ¥6.70 | ¥7.57 | |
52 weeks | ¥6.55 | ¥9.19 |
Historical Hangzhou Steam Turbine Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ¥6.95 | ¥6.98 | ¥6.90 | ¥6.92 | 390 344 |
Jun 27, 2024 | ¥6.95 | ¥6.95 | ¥6.90 | ¥6.92 | 150 400 |
Jun 26, 2024 | ¥6.94 | ¥6.96 | ¥6.90 | ¥6.96 | 301 562 |
Jun 25, 2024 | ¥7.02 | ¥7.04 | ¥6.90 | ¥6.90 | 385 856 |
Jun 24, 2024 | ¥7.09 | ¥7.09 | ¥6.90 | ¥6.93 | 464 246 |
Jun 21, 2024 | ¥7.09 | ¥7.09 | ¥6.96 | ¥6.96 | 732 240 |
Jun 20, 2024 | ¥7.16 | ¥7.16 | ¥7.03 | ¥7.06 | 582 379 |
Jun 18, 2024 | ¥7.11 | ¥7.16 | ¥7.10 | ¥7.10 | 234 860 |
Jun 17, 2024 | ¥7.20 | ¥7.20 | ¥7.08 | ¥7.11 | 516 859 |
Jun 14, 2024 | ¥7.20 | ¥7.21 | ¥7.17 | ¥7.19 | 490 228 |
Jun 13, 2024 | ¥7.18 | ¥7.30 | ¥7.12 | ¥7.22 | 576 554 |
Jun 12, 2024 | ¥6.83 | ¥7.20 | ¥6.83 | ¥7.18 | 787 443 |
Jun 11, 2024 | ¥6.83 | ¥7.18 | ¥6.83 | ¥7.16 | 2 376 510 |
Jun 07, 2024 | ¥6.91 | ¥7.04 | ¥6.81 | ¥7.04 | 863 074 |
Jun 06, 2024 | ¥6.91 | ¥6.94 | ¥6.78 | ¥6.80 | 716 045 |
Jun 05, 2024 | ¥7.44 | ¥7.44 | ¥6.90 | ¥6.91 | 617 534 |
Jun 04, 2024 | ¥7.44 | ¥7.55 | ¥7.37 | ¥7.48 | 554 356 |
Jun 03, 2024 | ¥7.44 | ¥7.57 | ¥7.39 | ¥7.41 | 706 568 |
May 31, 2024 | ¥7.44 | ¥7.54 | ¥7.31 | ¥7.54 | 1 422 104 |
May 30, 2024 | ¥7.33 | ¥7.49 | ¥7.29 | ¥7.41 | 1 164 263 |
May 29, 2024 | ¥7.10 | ¥7.35 | ¥7.07 | ¥7.32 | 1 416 977 |
May 28, 2024 | ¥6.88 | ¥7.05 | ¥6.88 | ¥7.03 | 247 200 |
May 24, 2024 | ¥6.88 | ¥6.96 | ¥6.81 | ¥6.94 | 154 403 |
May 23, 2024 | ¥6.83 | ¥6.92 | ¥6.83 | ¥6.91 | 165 840 |
May 22, 2024 | ¥6.88 | ¥6.88 | ¥6.78 | ¥6.86 | 247 985 |
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 200771.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 200771.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 200771.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.