Good Life China Stock Price History
Below is the normalized historical share price chart for Good Life China extending back to October 26, 2001. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions.
If you're considering investing in Good Stock, it is important to understand the factors that can impact its price. We have found zero technical indicators for Good Life China, which you can use to evaluate the volatility of the firm.
Good Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 0.0001 | Beta 156.323 |
Good |
Sharpe Ratio = 0.0
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| GLCC |
Based on monthly moving average Good Life is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Good Life by adding Good Life to a well-diversified portfolio.
Price Book 0.1879 | Book Value 0.004 | Enterprise Value 5.9 K | Enterprise Value Ebitda (0) | Price Sales 0.0011 |
Good Life Stock Price History Chart
There are several ways to analyze Good Stock price data. The simplest method is using a basic Good candlestick price chart, which shows Good Life price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | November 5, 2024 | 0.0 |
| Lowest Price | November 5, 2024 | 0.0 |
Good Stock Price History Data
| Open | High | Low | Close | Volume | ||
| 01/29/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/28/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/27/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/24/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/23/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/22/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/21/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/20/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 70,000 | |
| 01/17/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/16/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/15/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/14/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/13/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/10/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/09/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 70,000 | |
| 01/08/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/07/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/06/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/03/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 01/02/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/31/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/30/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/27/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/26/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/25/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 70,000 | |
| 12/24/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/23/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/20/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/19/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/18/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/17/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/16/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/13/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/12/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/11/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/10/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/09/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/06/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/05/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/04/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/03/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 12/02/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/29/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/28/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 70,000 | |
| 11/27/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/26/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/25/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/22/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/21/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/20/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/19/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/18/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/15/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/14/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/13/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/12/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/11/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/08/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/07/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/06/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 | |
| 11/05/2024 | 0.00 | 0.00 | 0.00 | 0.00 | 1.00 |
About Good Life Stock history
Good Life investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Good is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Good Life China will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Good Life stock prices may prove useful in developing a viable investing in Good Life
Good Life China Corporation operates a chain of franchised convenience stores in Hebei Province, the Peoples Republic of China. The company was founded in 2008 and is based in Beijing, China. GOOD LIFE is traded on PNK Exchange in the United States.
Good Life Stock Technical Analysis
Good Life technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
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