SZCE:002023
Sichuan Haite High-tech Co Ltd Stock Price (Quote)
¥10.11
-0.210 (-2.03%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥9.24 | ¥12.18 | Thursday, 23rd May 2024 002023.SZ stock ended at ¥10.11. This is 2.03% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 4.16% from a day low at ¥10.09 to a day high of ¥10.51. |
90 days | ¥7.33 | ¥12.18 | |
52 weeks | ¥5.65 | ¥12.18 |
Date | Open | High | Low | Close | Volume |
Jul 27, 2023 | ¥9.52 | ¥9.63 | ¥9.46 | ¥9.48 | 11 443 849 |
Jul 26, 2023 | ¥9.66 | ¥9.69 | ¥9.49 | ¥9.53 | 13 644 970 |
Jul 25, 2023 | ¥9.60 | ¥9.76 | ¥9.50 | ¥9.75 | 20 156 386 |
Jul 24, 2023 | ¥9.59 | ¥9.69 | ¥9.40 | ¥9.50 | 10 911 849 |
Jul 21, 2023 | ¥9.56 | ¥9.74 | ¥9.50 | ¥9.65 | 16 113 947 |
Jul 20, 2023 | ¥9.83 | ¥9.97 | ¥9.56 | ¥9.56 | 26 277 108 |
Jul 19, 2023 | ¥9.84 | ¥9.86 | ¥9.71 | ¥9.82 | 21 357 864 |
Jul 18, 2023 | ¥10.02 | ¥10.13 | ¥9.81 | ¥9.85 | 32 906 037 |
Jul 17, 2023 | ¥10.27 | ¥10.34 | ¥9.93 | ¥10.08 | 61 285 473 |
Jul 14, 2023 | ¥9.38 | ¥10.27 | ¥9.33 | ¥10.27 | 44 942 694 |
Jul 13, 2023 | ¥9.10 | ¥9.69 | ¥9.07 | ¥9.34 | 17 540 548 |
Jul 12, 2023 | ¥9.28 | ¥9.30 | ¥9.07 | ¥9.10 | 8 852 851 |
Jul 11, 2023 | ¥9.08 | ¥9.30 | ¥9.06 | ¥9.29 | 10 096 499 |
Jul 10, 2023 | ¥9.17 | ¥9.22 | ¥9.06 | ¥9.11 | 6 158 808 |
Jul 07, 2023 | ¥9.30 | ¥9.31 | ¥9.06 | ¥9.12 | 8 962 600 |
Jul 06, 2023 | ¥9.20 | ¥9.41 | ¥9.20 | ¥9.30 | 12 031 396 |
Jul 05, 2023 | ¥9.18 | ¥9.38 | ¥9.16 | ¥9.23 | 15 198 998 |
Jul 04, 2023 | ¥9.36 | ¥9.73 | ¥9.20 | ¥9.26 | 22 832 131 |
Jul 03, 2023 | ¥9.20 | ¥9.24 | ¥9.11 | ¥9.14 | 6 120 400 |
Jun 30, 2023 | ¥9.14 | ¥9.23 | ¥9.11 | ¥9.20 | 6 149 962 |
Jun 29, 2023 | ¥9.01 | ¥9.18 | ¥8.99 | ¥9.14 | 5 566 061 |
Jun 28, 2023 | ¥9.10 | ¥9.14 | ¥8.84 | ¥9.05 | 7 945 735 |
Jun 27, 2023 | ¥9.12 | ¥9.17 | ¥9.06 | ¥9.11 | 6 723 213 |
Jun 26, 2023 | ¥9.24 | ¥9.44 | ¥9.05 | ¥9.09 | 13 061 962 |
Jun 21, 2023 | ¥9.49 | ¥9.52 | ¥9.31 | ¥9.32 | 16 867 045 |
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 002023.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002023.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 002023.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.