SZCE:000671
Delisted
Yango Group Co Ltd Stock Price (Quote)
¥0.370
+0 (+0%)
At Close: Sep 08, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥0.370 | ¥0.370 | Friday, 8th Sep 2023 000671.SZ stock ended at ¥0.370. During the day the stock fluctuated 0% from a day low at ¥0.370 to a day high of ¥0.370. |
90 days | ¥0.370 | ¥0.370 | |
52 weeks | ¥0.370 | ¥2.47 |
Date | Open | High | Low | Close | Volume |
Dec 20, 2022 | ¥2.00 | ¥2.00 | ¥1.92 | ¥1.93 | 138 508 300 |
Dec 19, 2022 | ¥2.04 | ¥2.10 | ¥2.00 | ¥2.03 | 138 304 900 |
Dec 16, 2022 | ¥2.01 | ¥2.10 | ¥2.01 | ¥2.04 | 345 054 124 |
Dec 15, 2022 | ¥1.99 | ¥2.03 | ¥1.96 | ¥2.02 | 172 447 556 |
Dec 14, 2022 | ¥2.04 | ¥2.04 | ¥1.99 | ¥2.01 | 175 740 918 |
Dec 13, 2022 | ¥2.01 | ¥2.06 | ¥2.00 | ¥2.04 | 181 834 819 |
Dec 12, 2022 | ¥2.06 | ¥2.08 | ¥2.01 | ¥2.02 | 242 212 138 |
Dec 09, 2022 | ¥2.09 | ¥2.13 | ¥2.05 | ¥2.08 | 228 318 774 |
Dec 08, 2022 | ¥2.04 | ¥2.11 | ¥2.04 | ¥2.08 | 195 382 890 |
Dec 07, 2022 | ¥2.07 | ¥2.09 | ¥2.03 | ¥2.06 | 137 337 142 |
Dec 06, 2022 | ¥2.10 | ¥2.13 | ¥2.06 | ¥2.10 | 167 302 439 |
Dec 05, 2022 | ¥2.13 | ¥2.17 | ¥2.10 | ¥2.11 | 206 550 500 |
Dec 02, 2022 | ¥2.13 | ¥2.13 | ¥2.06 | ¥2.11 | 403 326 905 |
Dec 01, 2022 | ¥2.20 | ¥2.24 | ¥2.12 | ¥2.15 | 354 963 891 |
Nov 30, 2022 | ¥2.31 | ¥2.47 | ¥2.18 | ¥2.22 | 654 039 031 |
Nov 29, 2022 | ¥2.26 | ¥2.29 | ¥2.13 | ¥2.29 | 454 684 709 |
Nov 28, 2022 | ¥2.07 | ¥2.12 | ¥2.01 | ¥2.08 | 246 354 566 |
Nov 25, 2022 | ¥2.04 | ¥2.17 | ¥2.04 | ¥2.14 | 381 822 827 |
Nov 24, 2022 | ¥2.01 | ¥2.13 | ¥2.00 | ¥2.06 | 337 986 893 |
Nov 23, 2022 | ¥1.95 | ¥1.98 | ¥1.94 | ¥1.96 | 146 454 663 |
Nov 22, 2022 | ¥2.07 | ¥2.10 | ¥1.97 | ¥1.98 | 180 677 497 |
Nov 21, 2022 | ¥2.06 | ¥2.06 | ¥1.98 | ¥2.04 | 348 498 276 |
Nov 18, 2022 | ¥2.08 | ¥2.13 | ¥2.06 | ¥2.08 | 362 696 124 |
Nov 17, 2022 | ¥2.09 | ¥2.13 | ¥2.05 | ¥2.08 | 207 397 623 |
Nov 16, 2022 | ¥2.14 | ¥2.17 | ¥2.06 | ¥2.11 | 345 193 133 |
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 000671.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000671.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 000671.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.