SZCE:000055
FANGDA GRP/Shs A Vtg 1.00 Stock Price (Quote)
¥3.91
+0.0300 (+0.773%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.86 | ¥4.24 | Friday, 31st May 2024 000055.SZ stock ended at ¥3.91. This is 0.773% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.07% from a day low at ¥3.86 to a day high of ¥3.94. |
90 days | ¥3.75 | ¥4.29 | |
52 weeks | ¥3.28 | ¥5.17 |
Historical FANGDA GRP/Shs A Vtg 1.00 prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | ¥3.86 | ¥3.94 | ¥3.86 | ¥3.91 | 3 882 050 |
May 30, 2024 | ¥4.05 | ¥4.05 | ¥3.87 | ¥3.88 | 3 864 500 |
May 29, 2024 | ¥4.05 | ¥4.05 | ¥3.90 | ¥3.92 | 2 766 175 |
May 28, 2024 | ¥4.05 | ¥4.05 | ¥3.92 | ¥3.92 | 3 853 600 |
May 24, 2024 | ¥4.11 | ¥4.11 | ¥4.03 | ¥4.06 | 4 498 887 |
May 23, 2024 | ¥4.11 | ¥4.15 | ¥4.04 | ¥4.04 | 3 716 844 |
May 22, 2024 | ¥4.11 | ¥4.17 | ¥4.11 | ¥4.14 | 3 054 561 |
May 21, 2024 | ¥4.11 | ¥4.16 | ¥4.11 | ¥4.12 | 4 095 925 |
May 20, 2024 | ¥4.11 | ¥4.22 | ¥4.11 | ¥4.13 | 5 391 001 |
May 17, 2024 | ¥4.14 | ¥4.14 | ¥4.06 | ¥4.14 | 6 667 733 |
May 16, 2024 | ¥4.14 | ¥4.19 | ¥4.12 | ¥4.16 | 6 461 125 |
May 15, 2024 | ¥4.14 | ¥4.19 | ¥4.11 | ¥4.12 | 4 010 600 |
May 14, 2024 | ¥4.14 | ¥4.18 | ¥4.11 | ¥4.15 | 4 306 850 |
May 13, 2024 | ¥4.14 | ¥4.24 | ¥4.10 | ¥4.15 | 6 548 583 |
May 10, 2024 | ¥4.08 | ¥4.17 | ¥4.08 | ¥4.15 | 4 059 989 |
May 09, 2024 | ¥4.02 | ¥4.15 | ¥4.02 | ¥4.13 | 3 424 938 |
May 08, 2024 | ¥4.02 | ¥4.14 | ¥4.02 | ¥4.09 | 3 885 450 |
May 07, 2024 | ¥4.02 | ¥4.18 | ¥4.02 | ¥4.14 | 5 524 923 |
May 06, 2024 | ¥4.02 | ¥4.14 | ¥4.02 | ¥4.13 | 7 434 611 |
Apr 30, 2024 | ¥3.90 | ¥4.04 | ¥3.90 | ¥4.02 | 4 896 668 |
Apr 29, 2024 | ¥3.90 | ¥4.03 | ¥3.90 | ¥4.02 | 5 840 241 |
Apr 26, 2024 | ¥3.90 | ¥3.95 | ¥3.86 | ¥3.94 | 4 796 773 |
Apr 25, 2024 | ¥3.90 | ¥3.95 | ¥3.88 | ¥3.92 | 2 625 494 |
Apr 24, 2024 | ¥3.90 | ¥3.92 | ¥3.86 | ¥3.92 | 3 744 094 |
Apr 23, 2024 | ¥3.90 | ¥3.90 | ¥3.84 | ¥3.86 | 3 024 350 |
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 000055.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000055.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 000055.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.