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 |
Oct 06, 2023 | ¥8.39 | ¥8.39 | ¥8.39 | ¥8.39 | 0 |
Sep 28, 2023 | ¥8.45 | ¥8.54 | ¥8.30 | ¥8.39 | 11 753 286 |
Sep 27, 2023 | ¥8.30 | ¥8.60 | ¥8.17 | ¥8.45 | 27 950 013 |
Sep 26, 2023 | ¥8.19 | ¥8.26 | ¥8.11 | ¥8.13 | 10 664 550 |
Sep 25, 2023 | ¥8.00 | ¥8.25 | ¥8.00 | ¥8.17 | 10 674 410 |
Sep 22, 2023 | ¥7.62 | ¥8.11 | ¥7.62 | ¥8.08 | 17 067 538 |
Sep 21, 2023 | ¥7.69 | ¥7.70 | ¥7.60 | ¥7.67 | 4 734 628 |
Sep 20, 2023 | ¥7.77 | ¥7.77 | ¥7.65 | ¥7.71 | 4 329 081 |
Sep 19, 2023 | ¥7.79 | ¥7.81 | ¥7.70 | ¥7.73 | 3 984 691 |
Sep 18, 2023 | ¥7.77 | ¥7.85 | ¥7.70 | ¥7.80 | 3 440 767 |
Sep 15, 2023 | ¥7.74 | ¥7.86 | ¥7.65 | ¥7.81 | 8 556 227 |
Sep 14, 2023 | ¥7.76 | ¥7.88 | ¥7.67 | ¥7.72 | 6 850 428 |
Sep 13, 2023 | ¥7.90 | ¥8.00 | ¥7.70 | ¥7.79 | 8 937 620 |
Sep 12, 2023 | ¥7.97 | ¥7.99 | ¥7.83 | ¥7.92 | 5 666 507 |
Sep 11, 2023 | ¥7.86 | ¥7.94 | ¥7.76 | ¥7.88 | 5 439 890 |
Sep 08, 2023 | ¥7.82 | ¥7.94 | ¥7.78 | ¥7.84 | 3 683 591 |
Sep 07, 2023 | ¥8.19 | ¥8.19 | ¥7.80 | ¥7.82 | 10 377 606 |
Sep 06, 2023 | ¥8.03 | ¥8.23 | ¥7.96 | ¥8.21 | 10 230 328 |
Sep 05, 2023 | ¥8.03 | ¥8.14 | ¥8.00 | ¥8.05 | 4 969 269 |
Sep 04, 2023 | ¥8.02 | ¥8.04 | ¥7.93 | ¥8.03 | 3 939 245 |
Sep 01, 2023 | ¥7.90 | ¥8.10 | ¥7.84 | ¥8.03 | 5 306 429 |
Aug 31, 2023 | ¥8.03 | ¥8.03 | ¥7.88 | ¥7.90 | 2 970 444 |
Aug 30, 2023 | ¥8.10 | ¥8.10 | ¥7.90 | ¥8.00 | 4 974 925 |
Aug 29, 2023 | ¥7.90 | ¥8.06 | ¥7.72 | ¥8.01 | 8 213 901 |
Aug 28, 2023 | ¥8.18 | ¥8.26 | ¥7.85 | ¥7.95 | 9 378 944 |
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.