SZCE:300236
Delisted
Shanghai Sinyang Smcndctr Mtls Co Ltd Stock Price (Quote)
¥30.28
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥30.28 | ¥30.28 | Wednesday, 19th Apr 2023 300236.SZ stock ended at ¥30.28. During the day the stock fluctuated 0% from a day low at ¥30.28 to a day high of ¥30.28. |
90 days | ¥29.63 | ¥30.60 | |
52 weeks | ¥24.82 | ¥39.28 |
Date | Open | High | Low | Close | Volume |
Jun 10, 2021 | ¥42.50 | ¥43.69 | ¥42.26 | ¥43.35 | 6 545 315 |
Jun 09, 2021 | ¥41.90 | ¥43.84 | ¥41.65 | ¥43.12 | 5 179 460 |
Jun 08, 2021 | ¥42.89 | ¥42.89 | ¥42.89 | ¥42.89 | 0 |
Jun 07, 2021 | ¥42.89 | ¥42.89 | ¥42.89 | ¥42.89 | 0 |
Jun 04, 2021 | ¥42.18 | ¥43.58 | ¥42.01 | ¥42.89 | 8 289 425 |
Jun 03, 2021 | ¥43.10 | ¥43.43 | ¥41.50 | ¥42.51 | 6 972 676 |
Jun 02, 2021 | ¥43.20 | ¥44.31 | ¥42.36 | ¥42.64 | 10 078 970 |
Jun 01, 2021 | ¥40.70 | ¥44.10 | ¥40.30 | ¥43.42 | 15 125 532 |
May 31, 2021 | ¥40.10 | ¥42.23 | ¥40.10 | ¥40.94 | 12 642 599 |
May 28, 2021 | ¥40.73 | ¥40.73 | ¥39.64 | ¥39.73 | 9 753 248 |
May 27, 2021 | ¥37.20 | ¥40.88 | ¥37.10 | ¥40.80 | 18 024 962 |
May 26, 2021 | ¥36.96 | ¥37.23 | ¥36.66 | ¥36.70 | 3 344 961 |
May 25, 2021 | ¥36.61 | ¥37.15 | ¥36.40 | ¥37.00 | 4 209 797 |
May 24, 2021 | ¥35.70 | ¥36.64 | ¥35.30 | ¥36.61 | 3 010 479 |
May 21, 2021 | ¥36.47 | ¥36.62 | ¥35.70 | ¥35.80 | 2 272 771 |
May 20, 2021 | ¥36.45 | ¥37.23 | ¥36.22 | ¥36.23 | 3 668 516 |
May 19, 2021 | ¥35.85 | ¥36.45 | ¥35.85 | ¥36.01 | 2 402 707 |
May 18, 2021 | ¥36.36 | ¥36.49 | ¥35.60 | ¥35.90 | 2 631 446 |
May 17, 2021 | ¥34.79 | ¥34.79 | ¥34.79 | ¥34.79 | 0 |
May 14, 2021 | ¥34.79 | ¥34.79 | ¥34.79 | ¥34.79 | 0 |
May 13, 2021 | ¥34.79 | ¥34.79 | ¥34.79 | ¥34.79 | 0 |
May 12, 2021 | ¥34.55 | ¥36.27 | ¥34.55 | ¥36.13 | 4 680 412 |
May 11, 2021 | ¥34.61 | ¥34.96 | ¥33.76 | ¥34.79 | 3 516 365 |
May 07, 2021 | ¥35.91 | ¥36.47 | ¥35.81 | ¥36.15 | 2 596 058 |
May 06, 2021 | ¥35.68 | ¥36.28 | ¥35.68 | ¥35.80 | 2 152 868 |
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 300236.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300236.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 300236.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.