SZCE:002300
Fujian Nanping Sun Cable Co Ltd Stock Price (Quote)
¥6.13
+0.0400 (+0.657%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.52 | ¥6.25 | Friday, 17th May 2024 002300.SZ stock ended at ¥6.13. This is 0.657% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.65% from a day low at ¥6.04 to a day high of ¥6.20. |
90 days | ¥5.46 | ¥6.99 | |
52 weeks | ¥5.05 | ¥9.47 |
Date | Open | High | Low | Close | Volume |
Apr 09, 2024 | ¥6.57 | ¥6.57 | ¥6.37 | ¥6.48 | 5 441 910 |
Apr 08, 2024 | ¥6.57 | ¥6.57 | ¥6.39 | ¥6.40 | 7 042 823 |
Apr 03, 2024 | ¥6.36 | ¥6.61 | ¥6.36 | ¥6.54 | 6 234 171 |
Apr 02, 2024 | ¥6.36 | ¥6.64 | ¥6.36 | ¥6.57 | 7 186 102 |
Apr 01, 2024 | ¥6.36 | ¥6.55 | ¥6.36 | ¥6.55 | 6 578 138 |
Mar 29, 2024 | ¥6.54 | ¥6.54 | ¥6.29 | ¥6.35 | 5 939 513 |
Mar 28, 2024 | ¥6.54 | ¥6.54 | ¥6.18 | ¥6.32 | 9 176 779 |
Mar 27, 2024 | ¥6.54 | ¥6.56 | ¥6.18 | ¥6.20 | 14 660 966 |
Mar 26, 2024 | ¥6.54 | ¥6.62 | ¥6.45 | ¥6.55 | 7 532 046 |
Mar 25, 2024 | ¥6.73 | ¥6.75 | ¥6.56 | ¥6.58 | 7 827 015 |
Mar 22, 2024 | ¥6.80 | ¥6.84 | ¥6.68 | ¥6.73 | 8 089 870 |
Mar 21, 2024 | ¥6.85 | ¥6.90 | ¥6.75 | ¥6.84 | 8 781 059 |
Mar 20, 2024 | ¥6.81 | ¥6.84 | ¥6.76 | ¥6.84 | 7 878 992 |
Mar 19, 2024 | ¥6.84 | ¥6.88 | ¥6.80 | ¥6.81 | 8 728 469 |
Mar 18, 2024 | ¥6.81 | ¥6.87 | ¥6.77 | ¥6.84 | 9 554 846 |
Mar 15, 2024 | ¥6.74 | ¥6.79 | ¥6.69 | ¥6.78 | 6 945 483 |
Mar 14, 2024 | ¥6.81 | ¥6.83 | ¥6.64 | ¥6.73 | 7 543 786 |
Mar 13, 2024 | ¥6.78 | ¥6.85 | ¥6.72 | ¥6.81 | 8 426 310 |
Mar 12, 2024 | ¥6.80 | ¥6.92 | ¥6.75 | ¥6.78 | 10 662 664 |
Mar 11, 2024 | ¥6.66 | ¥6.80 | ¥6.63 | ¥6.80 | 11 937 063 |
Mar 08, 2024 | ¥6.56 | ¥6.64 | ¥6.54 | ¥6.62 | 4 940 143 |
Mar 07, 2024 | ¥6.65 | ¥6.74 | ¥6.56 | ¥6.58 | 7 278 231 |
Mar 06, 2024 | ¥6.54 | ¥6.75 | ¥6.53 | ¥6.66 | 9 520 779 |
Mar 05, 2024 | ¥6.68 | ¥6.68 | ¥6.55 | ¥6.55 | 7 816 688 |
Mar 04, 2024 | ¥6.69 | ¥6.75 | ¥6.59 | ¥6.68 | 6 895 405 |
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 002300.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002300.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 002300.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.