Shenzhen Infinova Ltd Stock Price (Quote)
¥2.57
-0.130 (-4.81%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.57 | ¥5.92 | Friday, 31st May 2024 002528.SZ stock ended at ¥2.57. This is 4.81% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 0% from a day low at ¥2.57 to a day high of ¥2.57. |
90 days | ¥2.57 | ¥7.58 | |
52 weeks | ¥2.57 | ¥10.34 |
Historical Shenzhen Infinova Ltd prices
Date | Open | High | Low | Close | Volume |
Dec 28, 2023 | ¥7.95 | ¥8.08 | ¥7.85 | ¥8.03 | 23 306 019 |
Dec 27, 2023 | ¥7.91 | ¥8.00 | ¥7.90 | ¥7.98 | 11 704 512 |
Dec 26, 2023 | ¥8.05 | ¥8.05 | ¥7.88 | ¥7.92 | 13 512 085 |
Dec 25, 2023 | ¥7.97 | ¥8.11 | ¥7.88 | ¥8.05 | 15 417 319 |
Dec 22, 2023 | ¥8.27 | ¥8.28 | ¥7.90 | ¥7.97 | 24 850 915 |
Dec 21, 2023 | ¥7.98 | ¥8.25 | ¥7.95 | ¥8.20 | 22 150 219 |
Dec 20, 2023 | ¥8.41 | ¥8.42 | ¥8.12 | ¥8.13 | 28 710 667 |
Dec 19, 2023 | ¥8.60 | ¥8.65 | ¥8.35 | ¥8.41 | 31 251 644 |
Dec 18, 2023 | ¥8.77 | ¥8.92 | ¥8.57 | ¥8.61 | 28 328 995 |
Dec 15, 2023 | ¥8.94 | ¥9.00 | ¥8.68 | ¥8.86 | 31 657 448 |
Dec 14, 2023 | ¥8.89 | ¥9.16 | ¥8.86 | ¥8.94 | 38 625 988 |
Dec 13, 2023 | ¥9.13 | ¥9.13 | ¥8.88 | ¥8.89 | 53 027 032 |
Dec 12, 2023 | ¥8.74 | ¥9.50 | ¥8.74 | ¥9.23 | 88 364 502 |
Dec 11, 2023 | ¥8.75 | ¥8.82 | ¥8.50 | ¥8.80 | 38 111 124 |
Dec 08, 2023 | ¥9.08 | ¥9.10 | ¥8.81 | ¥8.86 | 47 155 388 |
Dec 07, 2023 | ¥8.82 | ¥9.10 | ¥8.75 | ¥9.10 | 58 211 531 |
Dec 06, 2023 | ¥8.69 | ¥8.99 | ¥8.69 | ¥8.82 | 41 952 131 |
Dec 05, 2023 | ¥8.87 | ¥9.09 | ¥8.70 | ¥8.79 | 58 466 216 |
Dec 04, 2023 | ¥8.58 | ¥8.86 | ¥8.54 | ¥8.81 | 42 785 232 |
Dec 01, 2023 | ¥8.46 | ¥8.66 | ¥8.46 | ¥8.63 | 33 494 118 |
Nov 30, 2023 | ¥8.73 | ¥8.75 | ¥8.41 | ¥8.45 | 45 020 181 |
Nov 29, 2023 | ¥8.81 | ¥8.96 | ¥8.72 | ¥8.75 | 37 638 762 |
Nov 28, 2023 | ¥8.75 | ¥8.93 | ¥8.54 | ¥8.92 | 53 514 248 |
Nov 27, 2023 | ¥8.92 | ¥9.18 | ¥8.82 | ¥8.84 | 60 387 152 |
Nov 24, 2023 | ¥9.26 | ¥9.35 | ¥8.93 | ¥9.00 | 98 448 135 |
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 002528.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002528.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 002528.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.