SZCE:300211
Delisted
Jiangsu Yitong High-tech Co Ltd Stock Price (Quote)
¥7.65
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.65 | ¥7.65 | Wednesday, 19th Apr 2023 300211.SZ stock ended at ¥7.65. During the day the stock fluctuated 0% from a day low at ¥7.65 to a day high of ¥7.65. |
90 days | ¥7.43 | ¥7.75 | |
52 weeks | ¥6.70 | ¥9.81 |
Date | Open | High | Low | Close | Volume |
Dec 20, 2022 | ¥6.97 | ¥7.05 | ¥6.90 | ¥6.97 | 1 537 000 |
Dec 19, 2022 | ¥7.13 | ¥7.19 | ¥6.94 | ¥6.98 | 1 763 500 |
Dec 16, 2022 | ¥7.35 | ¥7.35 | ¥7.12 | ¥7.14 | 1 986 772 |
Dec 15, 2022 | ¥7.26 | ¥7.42 | ¥7.19 | ¥7.36 | 2 131 420 |
Dec 14, 2022 | ¥7.26 | ¥7.34 | ¥7.21 | ¥7.25 | 1 791 100 |
Dec 13, 2022 | ¥7.34 | ¥7.36 | ¥7.20 | ¥7.26 | 2 778 500 |
Dec 12, 2022 | ¥7.40 | ¥7.44 | ¥7.30 | ¥7.34 | 1 604 990 |
Dec 09, 2022 | ¥7.46 | ¥7.56 | ¥7.34 | ¥7.40 | 1 755 770 |
Dec 08, 2022 | ¥7.55 | ¥7.60 | ¥7.46 | ¥7.49 | 3 330 771 |
Dec 07, 2022 | ¥7.68 | ¥7.68 | ¥7.52 | ¥7.54 | 1 703 400 |
Dec 06, 2022 | ¥7.76 | ¥7.76 | ¥7.62 | ¥7.68 | 2 211 600 |
Dec 05, 2022 | ¥7.74 | ¥7.83 | ¥7.69 | ¥7.76 | 3 071 400 |
Dec 02, 2022 | ¥7.63 | ¥7.81 | ¥7.63 | ¥7.74 | 2 247 808 |
Dec 01, 2022 | ¥7.61 | ¥7.70 | ¥7.58 | ¥7.68 | 2 119 573 |
Nov 30, 2022 | ¥7.56 | ¥7.59 | ¥7.46 | ¥7.53 | 1 798 500 |
Nov 29, 2022 | ¥7.35 | ¥7.57 | ¥7.35 | ¥7.56 | 2 980 200 |
Nov 28, 2022 | ¥7.51 | ¥7.54 | ¥7.39 | ¥7.42 | 1 985 759 |
Nov 25, 2022 | ¥7.75 | ¥7.75 | ¥7.54 | ¥7.58 | 1 915 776 |
Nov 24, 2022 | ¥7.76 | ¥7.87 | ¥7.66 | ¥7.70 | 2 657 100 |
Nov 23, 2022 | ¥7.95 | ¥7.97 | ¥7.64 | ¥7.75 | 3 133 800 |
Nov 22, 2022 | ¥7.92 | ¥8.09 | ¥7.87 | ¥7.95 | 2 358 592 |
Nov 21, 2022 | ¥7.96 | ¥7.97 | ¥7.86 | ¥7.93 | 2 386 800 |
Nov 18, 2022 | ¥8.10 | ¥8.15 | ¥7.93 | ¥7.96 | 2 656 100 |
Nov 17, 2022 | ¥7.94 | ¥8.10 | ¥7.84 | ¥8.09 | 2 541 370 |
Nov 16, 2022 | ¥7.85 | ¥8.04 | ¥7.85 | ¥7.96 | 2 609 495 |
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 300211.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300211.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 300211.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.