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 |
Historical Yango Group Co Ltd prices
Date | Open | High | Low | Close | Volume |
Jun 20, 2022 | ¥2.21 | ¥2.26 | ¥2.20 | ¥2.24 | 127 275 300 |
Jun 17, 2022 | ¥2.21 | ¥2.23 | ¥2.17 | ¥2.20 | 113 142 805 |
Jun 16, 2022 | ¥2.24 | ¥2.28 | ¥2.22 | ¥2.23 | 155 052 258 |
Jun 15, 2022 | ¥2.26 | ¥2.35 | ¥2.23 | ¥2.26 | 265 053 959 |
Jun 14, 2022 | ¥2.14 | ¥2.36 | ¥2.13 | ¥2.28 | 306 098 949 |
Jun 13, 2022 | ¥2.19 | ¥2.21 | ¥2.13 | ¥2.15 | 144 514 491 |
Jun 10, 2022 | ¥2.23 | ¥2.24 | ¥2.20 | ¥2.21 | 142 741 393 |
Jun 09, 2022 | ¥2.24 | ¥2.30 | ¥2.23 | ¥2.26 | 204 373 229 |
Jun 08, 2022 | ¥2.28 | ¥2.29 | ¥2.24 | ¥2.25 | 180 887 232 |
Jun 07, 2022 | ¥2.26 | ¥2.30 | ¥2.24 | ¥2.29 | 196 827 533 |
Jun 06, 2022 | ¥2.29 | ¥2.31 | ¥2.21 | ¥2.29 | 271 942 307 |
Jun 02, 2022 | ¥2.33 | ¥2.33 | ¥2.29 | ¥2.30 | 203 894 237 |
Jun 01, 2022 | ¥2.37 | ¥2.41 | ¥2.33 | ¥2.33 | 186 417 173 |
May 31, 2022 | ¥2.35 | ¥2.42 | ¥2.30 | ¥2.39 | 229 387 174 |
May 30, 2022 | ¥2.38 | ¥2.40 | ¥2.35 | ¥2.36 | 202 810 440 |
May 27, 2022 | ¥2.45 | ¥2.46 | ¥2.39 | ¥2.40 | 315 009 733 |
May 26, 2022 | ¥2.37 | ¥2.58 | ¥2.35 | ¥2.48 | 457 619 643 |
May 25, 2022 | ¥2.37 | ¥2.38 | ¥2.32 | ¥2.37 | 185 027 896 |
May 24, 2022 | ¥2.45 | ¥2.46 | ¥2.35 | ¥2.36 | 267 711 234 |
May 23, 2022 | ¥2.47 | ¥2.47 | ¥2.47 | ¥2.47 | 0 |
May 20, 2022 | ¥2.51 | ¥2.53 | ¥2.46 | ¥2.47 | 333 884 058 |
May 19, 2022 | ¥2.38 | ¥2.59 | ¥2.38 | ¥2.53 | 435 020 283 |
May 18, 2022 | ¥2.47 | ¥2.50 | ¥2.43 | ¥2.45 | 234 313 870 |
May 17, 2022 | ¥2.51 | ¥2.52 | ¥2.41 | ¥2.48 | 372 545 087 |
May 16, 2022 | ¥2.67 | ¥2.71 | ¥2.51 | ¥2.56 | 564 407 105 |
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.