SZCE:200488
SCPH/Shs B Vtg 1.00 Stock Price (Quote)
¥1.58
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.36 | ¥1.61 | Friday, 17th May 2024 200488.SZ stock ended at ¥1.58. During the day the stock fluctuated 3.23% from a day low at ¥1.55 to a day high of ¥1.60. |
90 days | ¥1.23 | ¥1.61 | |
52 weeks | ¥1.22 | ¥2.10 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ¥1.57 | ¥1.60 | ¥1.55 | ¥1.58 | 1 906 753 |
May 16, 2024 | ¥1.47 | ¥1.61 | ¥1.46 | ¥1.58 | 7 911 079 |
May 15, 2024 | ¥1.39 | ¥1.49 | ¥1.39 | ¥1.47 | 2 633 541 |
May 14, 2024 | ¥1.39 | ¥1.48 | ¥1.39 | ¥1.46 | 4 436 469 |
May 13, 2024 | ¥1.39 | ¥1.42 | ¥1.39 | ¥1.41 | 1 112 902 |
May 10, 2024 | ¥1.39 | ¥1.42 | ¥1.39 | ¥1.42 | 1 413 516 |
May 09, 2024 | ¥1.40 | ¥1.40 | ¥1.39 | ¥1.40 | 570 250 |
May 08, 2024 | ¥1.45 | ¥1.45 | ¥1.39 | ¥1.40 | 384 950 |
May 07, 2024 | ¥1.45 | ¥1.45 | ¥1.39 | ¥1.40 | 1 191 478 |
May 06, 2024 | ¥1.45 | ¥1.45 | ¥1.38 | ¥1.41 | 1 866 302 |
Apr 30, 2024 | ¥1.42 | ¥1.45 | ¥1.37 | ¥1.38 | 3 925 645 |
Apr 29, 2024 | ¥1.42 | ¥1.45 | ¥1.42 | ¥1.44 | 1 849 349 |
Apr 26, 2024 | ¥1.46 | ¥1.46 | ¥1.41 | ¥1.44 | 1 605 589 |
Apr 25, 2024 | ¥1.46 | ¥1.46 | ¥1.44 | ¥1.44 | 476 914 |
Apr 24, 2024 | ¥1.46 | ¥1.46 | ¥1.43 | ¥1.45 | 1 660 000 |
Apr 23, 2024 | ¥1.45 | ¥1.46 | ¥1.44 | ¥1.45 | 1 324 109 |
Apr 22, 2024 | ¥1.40 | ¥1.49 | ¥1.40 | ¥1.47 | 4 099 105 |
Apr 19, 2024 | ¥1.44 | ¥1.44 | ¥1.40 | ¥1.42 | 604 166 |
Apr 18, 2024 | ¥1.44 | ¥1.44 | ¥1.41 | ¥1.43 | 1 477 469 |
Apr 17, 2024 | ¥1.36 | ¥1.45 | ¥1.36 | ¥1.44 | 2 220 291 |
Apr 16, 2024 | ¥1.36 | ¥1.45 | ¥1.36 | ¥1.43 | 6 857 326 |
Apr 15, 2024 | ¥1.39 | ¥1.39 | ¥1.35 | ¥1.37 | 1 945 050 |
Apr 12, 2024 | ¥1.35 | ¥1.41 | ¥1.35 | ¥1.40 | 861 914 |
Apr 11, 2024 | ¥1.35 | ¥1.41 | ¥1.35 | ¥1.41 | 838 473 |
Apr 10, 2024 | ¥1.35 | ¥1.41 | ¥1.35 | ¥1.40 | 857 144 |
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 200488.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 200488.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 200488.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.