SZCE:300129
Delisted
Shanghai Taisheng Wind Power Stock Price (Quote)
¥7.68
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.68 | ¥7.68 | Wednesday, 19th Apr 2023 300129.SZ stock ended at ¥7.68. During the day the stock fluctuated 0% from a day low at ¥7.68 to a day high of ¥7.68. |
90 days | ¥7.50 | ¥7.69 | |
52 weeks | ¥5.33 | ¥10.80 |
Date | Open | High | Low | Close | Volume |
Aug 29, 2022 | ¥7.91 | ¥8.43 | ¥7.83 | ¥8.37 | 32 770 200 |
Aug 26, 2022 | ¥8.47 | ¥8.60 | ¥8.06 | ¥8.09 | 35 910 880 |
Aug 25, 2022 | ¥8.79 | ¥8.81 | ¥8.39 | ¥8.46 | 20 741 100 |
Aug 24, 2022 | ¥9.13 | ¥9.13 | ¥8.70 | ¥8.72 | 31 285 252 |
Aug 23, 2022 | ¥9.00 | ¥9.27 | ¥8.96 | ¥9.14 | 13 603 106 |
Aug 22, 2022 | ¥9.33 | ¥9.40 | ¥8.96 | ¥9.06 | 16 638 520 |
Aug 19, 2022 | ¥9.42 | ¥9.42 | ¥9.17 | ¥9.26 | 30 070 900 |
Aug 18, 2022 | ¥9.22 | ¥9.54 | ¥9.21 | ¥9.42 | 23 411 720 |
Aug 17, 2022 | ¥9.34 | ¥9.65 | ¥9.25 | ¥9.29 | 23 822 195 |
Aug 16, 2022 | ¥9.20 | ¥9.73 | ¥9.20 | ¥9.33 | 34 138 195 |
Aug 15, 2022 | ¥8.81 | ¥9.10 | ¥8.77 | ¥9.05 | 14 767 366 |
Aug 12, 2022 | ¥9.00 | ¥9.09 | ¥8.81 | ¥8.83 | 25 081 268 |
Aug 11, 2022 | ¥9.17 | ¥9.22 | ¥8.97 | ¥9.09 | 13 819 900 |
Aug 10, 2022 | ¥9.12 | ¥9.23 | ¥8.94 | ¥9.07 | 14 267 500 |
Aug 09, 2022 | ¥8.95 | ¥9.44 | ¥8.87 | ¥9.15 | 31 285 600 |
Aug 08, 2022 | ¥8.65 | ¥9.02 | ¥8.57 | ¥9.01 | 21 183 954 |
Aug 05, 2022 | ¥8.69 | ¥8.81 | ¥8.45 | ¥8.69 | 19 295 278 |
Aug 04, 2022 | ¥8.91 | ¥9.03 | ¥8.57 | ¥8.68 | 23 150 886 |
Aug 03, 2022 | ¥9.02 | ¥9.30 | ¥8.81 | ¥8.84 | 23 108 410 |
Aug 02, 2022 | ¥9.22 | ¥9.25 | ¥8.81 | ¥9.03 | 49 456 278 |
Aug 01, 2022 | ¥9.36 | ¥9.41 | ¥9.04 | ¥9.36 | 22 900 700 |
Jul 29, 2022 | ¥9.10 | ¥9.55 | ¥9.07 | ¥9.40 | 36 700 800 |
Jul 28, 2022 | ¥9.31 | ¥9.48 | ¥9.07 | ¥9.11 | 22 285 845 |
Jul 27, 2022 | ¥9.32 | ¥9.33 | ¥9.06 | ¥9.21 | 23 737 817 |
Jul 26, 2022 | ¥9.34 | ¥9.41 | ¥9.13 | ¥9.29 | 26 450 400 |
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 300129.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300129.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 300129.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.