SZCE:300617
Jiangsu Aukura Smart Trsn Eng Tech CoLtd Stock Price (Quote)
¥28.16
-0.0100 (-0.0355%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥25.02 | ¥31.89 | Friday, 31st May 2024 300617.SZ stock ended at ¥28.16. This is 0.0355% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.38% from a day low at ¥27.55 to a day high of ¥28.48. |
90 days | ¥24.44 | ¥31.89 | |
52 weeks | ¥20.11 | ¥45.99 |
Historical Jiangsu Aukura Smart Trsn Eng Tech CoLtd prices
Date | Open | High | Low | Close | Volume |
Jun 29, 2023 | ¥39.28 | ¥39.98 | ¥39.23 | ¥39.33 | 1 578 855 |
Jun 28, 2023 | ¥39.61 | ¥39.99 | ¥38.64 | ¥39.61 | 1 902 980 |
Jun 27, 2023 | ¥39.39 | ¥40.29 | ¥38.77 | ¥39.70 | 2 821 255 |
Jun 26, 2023 | ¥38.17 | ¥39.62 | ¥38.17 | ¥39.33 | 3 031 400 |
Jun 21, 2023 | ¥38.90 | ¥39.96 | ¥38.62 | ¥38.99 | 2 123 485 |
Jun 20, 2023 | ¥39.27 | ¥39.68 | ¥38.79 | ¥38.94 | 1 319 585 |
Jun 19, 2023 | ¥39.15 | ¥39.49 | ¥38.83 | ¥38.98 | 1 540 046 |
Jun 16, 2023 | ¥39.35 | ¥39.44 | ¥38.61 | ¥39.13 | 2 116 780 |
Jun 15, 2023 | ¥38.38 | ¥39.34 | ¥38.12 | ¥39.13 | 2 723 240 |
Jun 14, 2023 | ¥38.55 | ¥38.70 | ¥37.84 | ¥38.45 | 1 653 600 |
Jun 13, 2023 | ¥37.00 | ¥38.64 | ¥37.00 | ¥38.41 | 2 723 000 |
Jun 12, 2023 | ¥36.96 | ¥37.28 | ¥36.42 | ¥37.20 | 1 498 600 |
Jun 09, 2023 | ¥36.86 | ¥37.18 | ¥36.36 | ¥36.79 | 1 207 180 |
Jun 08, 2023 | ¥36.81 | ¥37.40 | ¥36.35 | ¥36.69 | 1 446 109 |
Jun 07, 2023 | ¥37.46 | ¥37.49 | ¥36.81 | ¥36.99 | 1 464 920 |
Jun 06, 2023 | ¥38.21 | ¥38.22 | ¥37.29 | ¥37.47 | 2 251 157 |
Jun 05, 2023 | ¥38.55 | ¥39.15 | ¥37.49 | ¥38.47 | 2 644 345 |
Jun 02, 2023 | ¥38.21 | ¥38.98 | ¥37.90 | ¥38.35 | 2 657 835 |
Jun 01, 2023 | ¥37.69 | ¥38.49 | ¥37.42 | ¥37.69 | 1 741 845 |
May 31, 2023 | ¥38.25 | ¥38.55 | ¥37.51 | ¥37.70 | 2 161 190 |
May 30, 2023 | ¥38.60 | ¥39.50 | ¥37.70 | ¥38.45 | 3 274 409 |
May 29, 2023 | ¥39.13 | ¥39.22 | ¥38.03 | ¥38.56 | 2 871 773 |
May 26, 2023 | ¥39.15 | ¥39.87 | ¥38.61 | ¥39.30 | 4 180 587 |
May 25, 2023 | ¥37.96 | ¥39.89 | ¥37.96 | ¥39.89 | 7 336 087 |
May 24, 2023 | ¥37.30 | ¥39.34 | ¥37.22 | ¥37.79 | 3 525 635 |
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 300617.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300617.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 300617.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.