SZCE:002848
Gospell Digital Technology Co Ltd Stock Price (Quote)
¥7.83
+0.270 (+3.57%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.50 | ¥8.48 | Thursday, 16th May 2024 002848.SZ stock ended at ¥7.83. This is 3.57% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 7.41% from a day low at ¥7.56 to a day high of ¥8.12. |
90 days | ¥6.36 | ¥11.47 | |
52 weeks | ¥5.22 | ¥15.32 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2024 | ¥10.67 | ¥10.85 | ¥10.49 | ¥10.52 | 3 346 700 |
Jan 18, 2024 | ¥10.85 | ¥10.95 | ¥10.32 | ¥10.65 | 4 934 900 |
Jan 17, 2024 | ¥11.12 | ¥11.20 | ¥10.84 | ¥10.85 | 3 693 700 |
Jan 16, 2024 | ¥11.25 | ¥11.26 | ¥10.89 | ¥11.15 | 3 533 100 |
Jan 15, 2024 | ¥11.20 | ¥11.36 | ¥11.08 | ¥11.14 | 3 179 000 |
Jan 12, 2024 | ¥11.36 | ¥11.42 | ¥11.16 | ¥11.26 | 3 209 200 |
Jan 11, 2024 | ¥11.18 | ¥11.43 | ¥11.10 | ¥11.36 | 3 461 400 |
Jan 10, 2024 | ¥11.38 | ¥11.38 | ¥11.08 | ¥11.15 | 3 146 000 |
Jan 09, 2024 | ¥11.18 | ¥11.51 | ¥11.18 | ¥11.38 | 3 606 600 |
Jan 08, 2024 | ¥11.46 | ¥11.55 | ¥11.15 | ¥11.18 | 3 474 400 |
Jan 05, 2024 | ¥11.80 | ¥11.86 | ¥11.36 | ¥11.46 | 6 176 800 |
Jan 04, 2024 | ¥11.85 | ¥11.90 | ¥11.75 | ¥11.76 | 3 594 700 |
Jan 03, 2024 | ¥12.00 | ¥12.08 | ¥11.70 | ¥11.81 | 4 264 700 |
Jan 02, 2024 | ¥11.77 | ¥12.13 | ¥11.77 | ¥12.00 | 8 421 700 |
Dec 29, 2023 | ¥11.37 | ¥11.96 | ¥11.22 | ¥11.74 | 7 363 700 |
Dec 28, 2023 | ¥11.03 | ¥11.39 | ¥10.96 | ¥11.30 | 5 626 500 |
Dec 27, 2023 | ¥10.93 | ¥11.13 | ¥10.89 | ¥11.07 | 4 178 300 |
Dec 26, 2023 | ¥11.04 | ¥11.22 | ¥10.80 | ¥10.92 | 5 605 800 |
Dec 25, 2023 | ¥11.30 | ¥11.34 | ¥10.94 | ¥11.04 | 8 319 250 |
Dec 22, 2023 | ¥11.47 | ¥11.62 | ¥11.27 | ¥11.29 | 6 212 000 |
Dec 21, 2023 | ¥11.40 | ¥11.59 | ¥11.19 | ¥11.51 | 7 673 800 |
Dec 20, 2023 | ¥11.59 | ¥11.88 | ¥11.45 | ¥11.57 | 7 548 200 |
Dec 19, 2023 | ¥11.62 | ¥11.70 | ¥11.42 | ¥11.59 | 5 521 120 |
Dec 18, 2023 | ¥11.71 | ¥11.87 | ¥11.56 | ¥11.60 | 7 528 500 |
Dec 15, 2023 | ¥11.99 | ¥12.05 | ¥11.64 | ¥11.68 | 8 417 000 |
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 002848.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002848.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 002848.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.