China Power Equipment Stock Price History
If you're considering investing in China Pink Sheet, it is important to understand the factors that can impact its price. China Power Equipment secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had a -0.13 % return per unit of risk over the last 3 months. China Power Equipment exposes twelve different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm China Power's Risk Adjusted Performance of (0.11), standard deviation of 13.02, and Mean Deviation of 3.33 to double-check the risk estimate we provide.
China Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
China |
Sharpe Ratio = -0.1302
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | CPQQ |
Estimated Market Risk
| 13.02 actual daily | 96 96% of assets are less volatile |
Expected Return
| -1.69 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.13 actual daily | 0 Most of other assets perform better |
Based on monthly moving average China Power 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 China Power by adding China Power to a well-diversified portfolio.
China Power Pink Sheet Price History Chart
There are several ways to analyze China Stock price data. The simplest method is using a basic China candlestick price chart, which shows China Power 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 | December 18, 2024 | 0.0052 |
| Lowest Price | March 19, 2025 | 0.0 |
China Pink Sheet Price History Data
The price series of China Power for the period between Fri, Dec 20, 2024 and Thu, Mar 20, 2025 has a statistical range of 0.01 with a coefficient of variation of 13.24. The prices are distributed with arithmetic mean of 0.01. The median price for the last 90 days is 0.01.| Open | High | Low | Close | Volume | ||
| 03/19/2025 | 0.00 | 0.00 | 0.00 | 0.00 | 3,000 | |
| 03/18/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/17/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/14/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/13/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/12/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/11/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/10/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/07/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/06/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/05/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/04/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 03/03/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/28/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/27/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/26/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/25/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/24/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/21/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/20/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/19/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/18/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/14/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/13/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/12/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/11/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/10/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/07/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/06/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/05/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/04/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 02/03/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/31/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/30/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/29/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/28/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/27/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/24/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/23/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/22/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/21/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/17/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/16/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/15/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/14/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/13/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/10/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/08/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/07/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/06/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/03/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 01/02/2025 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/31/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/30/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/27/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/26/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/24/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/23/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/20/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/19/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 | |
| 12/18/2024 | 0.01 | 0.01 | 0.01 | 0.01 | 1.00 |
About China Power Pink Sheet history
China Power 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 China is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in China Power Equipment 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 China Power stock prices may prove useful in developing a viable investing in China Power
China Power Equipment, Inc., through its An Sen Power Science Technology Co., Ltd. subsidiary and its affiliated operating company, Xian Amorphous Alloy Zhongxi Transformer Co., Ltd., engages in the design, manufacture, and distribution of amorphous alloy transformer cores and amorphous alloy distribution transformers in the Peoples Republic of China. China Power Equipment, Inc. was founded in 2004 and is headquartered in Jingyang, the Peoples Republic of China. China Pwr is traded on OTC Exchange in the United States.
China Power Pink Sheet Technical Analysis
China Power technical pink sheet 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, pink sheet market cycles, or different charting patterns.
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China Power Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for China Power's price direction in advance. Along with the technical and fundamental analysis of China Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of China to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (1.56) | |||
| Total Risk Alpha | (0.61) | |||
| Treynor Ratio | (0.88) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Additional Tools for China Pink Sheet Analysis
When running China Power's price analysis, check to measure China Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy China Power is operating at the current time. Most of China Power's value examination focuses on studying past and present price action to predict the probability of China Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Power's price. Additionally, you may evaluate how the addition of China Power to your portfolios can decrease your overall portfolio volatility.