SZCE:002474
Fujian Rongji Software Co., Ltd. Stock Price (Quote)
¥5.17
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.47 | ¥5.40 | Monday, 20th May 2024 002474.SZ stock ended at ¥5.17. During the day the stock fluctuated 2.95% from a day low at ¥5.09 to a day high of ¥5.24. |
90 days | ¥4.42 | ¥7.05 | |
52 weeks | ¥3.65 | ¥8.86 |
Date | Open | High | Low | Close | Volume |
Sep 21, 2022 | ¥5.65 | ¥5.81 | ¥5.50 | ¥5.73 | 6 061 299 |
Sep 20, 2022 | ¥5.62 | ¥5.77 | ¥5.62 | ¥5.66 | 4 472 200 |
Sep 19, 2022 | ¥5.90 | ¥5.91 | ¥5.60 | ¥5.63 | 7 541 006 |
Sep 16, 2022 | ¥5.92 | ¥6.04 | ¥5.85 | ¥5.86 | 5 801 400 |
Sep 15, 2022 | ¥6.07 | ¥6.09 | ¥5.85 | ¥5.95 | 6 987 537 |
Sep 14, 2022 | ¥6.02 | ¥6.04 | ¥5.94 | ¥6.03 | 4 626 200 |
Sep 13, 2022 | ¥6.11 | ¥6.14 | ¥6.02 | ¥6.05 | 5 342 994 |
Sep 09, 2022 | ¥6.08 | ¥6.11 | ¥6.00 | ¥6.06 | 4 824 000 |
Sep 08, 2022 | ¥6.19 | ¥6.19 | ¥6.08 | ¥6.08 | 7 241 802 |
Sep 07, 2022 | ¥6.21 | ¥6.24 | ¥6.12 | ¥6.18 | 7 212 282 |
Sep 06, 2022 | ¥6.28 | ¥6.32 | ¥6.17 | ¥6.22 | 10 450 029 |
Sep 05, 2022 | ¥6.10 | ¥6.30 | ¥6.04 | ¥6.22 | 11 620 682 |
Sep 02, 2022 | ¥5.89 | ¥6.10 | ¥5.89 | ¥6.08 | 7 304 688 |
Sep 01, 2022 | ¥5.88 | ¥6.07 | ¥5.88 | ¥5.92 | 5 693 519 |
Aug 31, 2022 | ¥6.04 | ¥6.11 | ¥5.90 | ¥5.92 | 13 466 024 |
Aug 30, 2022 | ¥5.97 | ¥6.13 | ¥5.94 | ¥6.01 | 6 742 615 |
Aug 29, 2022 | ¥5.78 | ¥5.98 | ¥5.68 | ¥5.98 | 13 528 144 |
Aug 26, 2022 | ¥5.99 | ¥6.08 | ¥5.90 | ¥5.91 | 10 133 330 |
Aug 25, 2022 | ¥6.08 | ¥6.18 | ¥5.92 | ¥5.99 | 13 797 530 |
Aug 24, 2022 | ¥6.28 | ¥6.37 | ¥6.07 | ¥6.08 | 21 605 436 |
Aug 23, 2022 | ¥6.28 | ¥6.41 | ¥6.23 | ¥6.29 | 12 977 500 |
Aug 22, 2022 | ¥6.61 | ¥6.69 | ¥6.25 | ¥6.35 | 25 934 690 |
Aug 19, 2022 | ¥6.45 | ¥6.52 | ¥6.40 | ¥6.44 | 9 306 654 |
Aug 18, 2022 | ¥6.45 | ¥6.46 | ¥6.35 | ¥6.46 | 7 597 098 |
Aug 17, 2022 | ¥6.48 | ¥6.48 | ¥6.38 | ¥6.47 | 11 008 049 |
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 002474.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002474.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 002474.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.