Shenzhen Selen Science & Technlgy Co Ltd Stock Price (Quote)
¥1.72
-0.0900 (-4.97%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.72 | ¥3.60 | Friday, 17th May 2024 002341.SZ stock ended at ¥1.72. This is 4.97% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 29.07% from a day low at ¥1.72 to a day high of ¥2.22. |
90 days | ¥1.72 | ¥3.97 | |
52 weeks | ¥1.72 | ¥4.25 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ¥2.22 | ¥2.22 | ¥1.72 | ¥1.72 | 6 533 500 |
May 16, 2024 | ¥2.22 | ¥2.22 | ¥1.81 | ¥1.81 | 3 031 400 |
May 15, 2024 | ¥2.22 | ¥2.22 | ¥1.90 | ¥1.90 | 1 270 200 |
May 14, 2024 | ¥2.22 | ¥2.22 | ¥2.00 | ¥2.00 | 542 900 |
May 13, 2024 | ¥2.22 | ¥2.22 | ¥2.11 | ¥2.11 | 355 000 |
May 10, 2024 | ¥2.34 | ¥2.34 | ¥2.22 | ¥2.22 | 1 002 100 |
May 09, 2024 | ¥2.73 | ¥2.88 | ¥2.34 | ¥2.34 | 505 800 |
May 08, 2024 | ¥2.73 | ¥2.88 | ¥2.46 | ¥2.46 | 361 400 |
May 07, 2024 | ¥2.73 | ¥2.88 | ¥2.59 | ¥2.59 | 227 000 |
May 06, 2024 | ¥2.73 | ¥2.88 | ¥2.72 | ¥2.73 | 262 000 |
Apr 30, 2024 | ¥2.87 | ¥2.87 | ¥2.87 | ¥2.87 | 0 |
Apr 29, 2024 | ¥2.73 | ¥2.88 | ¥2.72 | ¥2.87 | 27 176 202 |
Apr 26, 2024 | ¥2.73 | ¥2.76 | ¥2.68 | ¥2.73 | 19 432 300 |
Apr 25, 2024 | ¥2.73 | ¥2.81 | ¥2.67 | ¥2.73 | 18 649 300 |
Apr 24, 2024 | ¥2.73 | ¥2.75 | ¥2.62 | ¥2.73 | 20 309 020 |
Apr 23, 2024 | ¥2.73 | ¥2.73 | ¥2.60 | ¥2.63 | 12 962 500 |
Apr 22, 2024 | ¥2.73 | ¥2.73 | ¥2.56 | ¥2.60 | 17 998 718 |
Apr 19, 2024 | ¥3.60 | ¥3.60 | ¥2.64 | ¥2.68 | 25 044 600 |
Apr 18, 2024 | ¥3.60 | ¥3.60 | ¥2.70 | ¥2.75 | 27 341 520 |
Apr 17, 2024 | ¥3.60 | ¥3.60 | ¥2.50 | ¥2.84 | 41 710 697 |
Apr 16, 2024 | ¥3.60 | ¥3.60 | ¥2.67 | ¥2.67 | 27 330 400 |
Apr 15, 2024 | ¥3.60 | ¥3.60 | ¥2.97 | ¥2.97 | 59 049 049 |
Apr 12, 2024 | ¥3.66 | ¥3.66 | ¥3.28 | ¥3.30 | 80 058 882 |
Apr 11, 2024 | ¥3.66 | ¥3.71 | ¥3.57 | ¥3.64 | 77 458 234 |
Apr 10, 2024 | ¥3.66 | ¥3.97 | ¥3.66 | ¥3.74 | 131 397 114 |
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 002341.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002341.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 002341.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.