Zhangzhou Pientzehuang (China) Price on April 14, 2023
600436 Stock | 204.53 2.47 1.22% |
If you're considering investing in Zhangzhou Stock, it is important to understand the factors that can impact its price. As of today, the current price of Zhangzhou Pientzehuang stands at 204.53, as last reported on the 2nd of March, with the highest price reaching 206.55 and the lowest price hitting 201.50 during the day. Zhangzhou Pientzehuang shows Sharpe Ratio of -0.21, which attests that the company had a -0.21 % return per unit of risk over the last 3 months. Zhangzhou Pientzehuang exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Zhangzhou Pientzehuang's Standard Deviation of 1.02, market risk adjusted performance of (0.92), and Mean Deviation of 0.8457 to validate the risk estimate we provide.
Zhangzhou Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Zhangzhou |
Sharpe Ratio = -0.2102
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Negative Returns | 600436 |
Estimated Market Risk
1.01 actual daily | 9 91% of assets are more volatile |
Expected Return
-0.21 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.21 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Zhangzhou Pientzehuang 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 Zhangzhou Pientzehuang by adding Zhangzhou Pientzehuang to a well-diversified portfolio.
Zhangzhou Pientzehuang Valuation on April 14, 2023
It is possible to determine the worth of Zhangzhou Pientzehuang on a given historical date. On April 14, 2023 Zhangzhou was worth 280.77 at the beginning of the trading date compared to the closed value of 280.08. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Zhangzhou Pientzehuang stock. Still, in general, we apply an absolute valuation method to find Zhangzhou Pientzehuang's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Zhangzhou Pientzehuang where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Zhangzhou Pientzehuang's related companies.
Open | High | Low | Close | Volume | |
278.71 | 282.53 | 275.80 | 280.77 | 1,367,380 | |
04/14/2023 | 280.77 | 286.39 | 279.31 | 280.08 | 1,500,172 |
278.78 | 278.78 | 270.08 | 272.60 | 4,898,397 |
Backtest Zhangzhou Pientzehuang | | | Zhangzhou Pientzehuang History | | | Zhangzhou Pientzehuang Valuation | Previous | Next |
Zhangzhou Pientzehuang Trading Date Momentum on April 14, 2023
On April 17 2023 Zhangzhou Pientzehuang Pharmaceutical was traded for 272.60 at the closing time. The highest price during the trading period was 278.78 and the lowest recorded bid was listed for 270.08 . The volume for the day was 4.9 M. This history from April 17, 2023 contributed to the next trading day price decline. The daily price change to the next closing price was 2.67% . The trading date delta to the current price is 4.28% . |
Zhangzhou Pientzehuang Fundamentals Correlations and Trends
By evaluating Zhangzhou Pientzehuang's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Zhangzhou Pientzehuang's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Zhangzhou financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Zhangzhou Pientzehuang Stock history
Zhangzhou Pientzehuang 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 Zhangzhou is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Zhangzhou Pientzehuang 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 Zhangzhou Pientzehuang stock prices may prove useful in developing a viable investing in Zhangzhou Pientzehuang
Zhangzhou Pientzehuang Stock Technical Analysis
Zhangzhou Pientzehuang 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.
Price Boundaries
Zhangzhou Pientzehuang Period Price Range
Low | March 2, 2025
| High |
0.00 | 0.00 |
Zhangzhou Pientzehuang Pharmaceutical cannot be verified against its exchange. Please verify the symbol is currently traded on Shanghai Stock Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Zhangzhou Pientzehuang March 2, 2025 Market Strength
Market strength indicators help investors to evaluate how Zhangzhou Pientzehuang stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Zhangzhou Pientzehuang shares will generate the highest return on investment. By undertsting and applying Zhangzhou Pientzehuang stock market strength indicators, traders can identify Zhangzhou Pientzehuang Pharmaceutical entry and exit signals to maximize returns
Zhangzhou Pientzehuang Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Zhangzhou Pientzehuang's price direction in advance. Along with the technical and fundamental analysis of Zhangzhou Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Zhangzhou 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 | (0.15) | |||
Jensen Alpha | (0.22) | |||
Total Risk Alpha | (0.19) | |||
Treynor Ratio | (0.93) |
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Math Transform | ||
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Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Complementary Tools for Zhangzhou Stock analysis
When running Zhangzhou Pientzehuang's price analysis, check to measure Zhangzhou Pientzehuang'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 Zhangzhou Pientzehuang is operating at the current time. Most of Zhangzhou Pientzehuang's value examination focuses on studying past and present price action to predict the probability of Zhangzhou Pientzehuang's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zhangzhou Pientzehuang's price. Additionally, you may evaluate how the addition of Zhangzhou Pientzehuang to your portfolios can decrease your overall portfolio volatility.
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |