SZCE:300993
Shandong Yuma Sun-shading Technology Stock Price (Quote)
¥8.92
+0.190 (+2.18%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥8.71 | ¥12.90 | Tuesday, 25th Jun 2024 300993.SZ stock ended at ¥8.92. This is 2.18% more than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 3.67% from a day low at ¥8.73 to a day high of ¥9.05. |
90 days | ¥8.71 | ¥12.90 | |
52 weeks | ¥8.71 | ¥12.90 |
Historical Shandong Yuma Sun-shading Technology Corp., Ltd. prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | ¥9.00 | ¥9.05 | ¥8.73 | ¥8.92 | 6 488 645 |
Jun 24, 2024 | ¥9.00 | ¥9.08 | ¥8.71 | ¥8.73 | 7 181 448 |
Jun 21, 2024 | ¥9.52 | ¥9.52 | ¥8.93 | ¥9.08 | 5 960 855 |
Jun 20, 2024 | ¥9.52 | ¥9.52 | ¥8.99 | ¥9.00 | 10 108 551 |
Jun 18, 2024 | ¥9.52 | ¥9.52 | ¥9.32 | ¥9.41 | 9 388 166 |
Jun 17, 2024 | ¥9.52 | ¥9.87 | ¥9.35 | ¥9.60 | 14 141 397 |
Jun 14, 2024 | ¥11.31 | ¥11.31 | ¥9.45 | ¥9.50 | 13 969 541 |
Jun 13, 2024 | ¥11.31 | ¥11.31 | ¥9.52 | ¥9.63 | 28 102 550 |
Jun 12, 2024 | ¥11.31 | ¥12.90 | ¥10.28 | ¥10.32 | 46 557 363 |
Jun 11, 2024 | ¥11.31 | ¥12.29 | ¥11.21 | ¥12.26 | 19 919 180 |
Jun 07, 2024 | ¥11.34 | ¥11.44 | ¥10.75 | ¥10.94 | 9 942 115 |
Jun 06, 2024 | ¥11.34 | ¥11.64 | ¥10.56 | ¥11.37 | 12 300 942 |
Jun 05, 2024 | ¥11.34 | ¥11.34 | ¥10.50 | ¥10.52 | 3 985 544 |
Jun 04, 2024 | ¥11.34 | ¥11.34 | ¥10.87 | ¥11.04 | 4 247 831 |
Jun 03, 2024 | ¥11.34 | ¥11.45 | ¥11.01 | ¥11.19 | 3 623 328 |
May 31, 2024 | ¥11.34 | ¥11.44 | ¥11.30 | ¥11.39 | 2 021 971 |
May 30, 2024 | ¥11.52 | ¥11.52 | ¥11.23 | ¥11.33 | 1 863 504 |
May 29, 2024 | ¥11.52 | ¥11.63 | ¥11.27 | ¥11.33 | 2 987 354 |
May 28, 2024 | ¥11.52 | ¥11.72 | ¥11.40 | ¥11.50 | 2 880 679 |
May 27, 2024 | ¥11.52 | ¥12.12 | ¥11.52 | ¥11.72 | 3 791 474 |
May 24, 2024 | ¥11.99 | ¥11.99 | ¥11.50 | ¥11.59 | 4 042 126 |
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 300993.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300993.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 300993.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.