Guangzhou Rf Properties Stock Price on March 22, 2024
| GZUHF Stock | USD 0.23 0.00 0.00% |
If you're considering investing in Guangzhou Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Guangzhou stands at 0.23, as last reported on the 20th of December, with the highest price reaching 0.23 and the lowest price hitting 0.23 during the day. Guangzhou is out of control given 3 months investment horizon. Guangzhou RF Properties holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of standard deviation over the last 3 months. We have analyze and collected data for sixteen different technical indicators, which can help you to evaluate if expected returns of 1.81% are justified by taking the suggested risk. Use Guangzhou RF Properties risk adjusted performance of 0.1036, and Market Risk Adjusted Performance of (0.60) to evaluate company specific risk that cannot be diversified away.
Guangzhou Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Guangzhou |
Sharpe Ratio = 0.1214
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Estimated Market Risk
| 14.91 actual daily | 96 96% of assets are less volatile |
Expected Return
| 1.81 actual daily | 36 64% of assets have higher returns |
Risk-Adjusted Return
| 0.12 actual daily | 9 91% of assets perform better |
Based on monthly moving average Guangzhou is performing at about 9% of its full potential. 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 Guangzhou by adding it to a well-diversified portfolio.
Related Headline
BigBearai Holdings Headline on 22nd of March 2024
Filed transaction by BigBearai Holdings Director, Officer: Chief Executive Officer. Disposition to the issuer of issuer equity securities pursuant to Rule 16b-3(e)
Guangzhou Valuation on March 22, 2024
It is possible to determine the worth of Guangzhou on a given historical date. On March 22, 2024 Guangzhou was worth 0.11 at the beginning of the trading date compared to the closed value of 0.11. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Guangzhou pink sheet. Still, in general, we apply an absolute valuation method to find Guangzhou'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 Guangzhou where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Guangzhou's related companies.
| Open | High | Low | Close | Volume | |
| 0.11 | 0.11 | 0.11 | 0.11 | 1.00 | |
03/22/2024 | 0.11 | 0.11 | 0.11 | 0.11 | 1.00 |
| 0.11 | 0.11 | 0.11 | 0.11 | 1.00 |
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Guangzhou Trading Date Momentum on March 22, 2024
| On March 25 2024 Guangzhou RF Properties was traded for 0.11 at the closing time. The highest daily price throughout the period was 0.11 and the lowest price was 0.11 . There was no trading activity during the period 1.0. Lack of trading volume on 03/25/2024 did not cause price change. The overall trading delta to current closing price is 0.00% . |
Guangzhou RF Properties Fundamentals Correlations and Trends
By evaluating Guangzhou'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 Guangzhou's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Guangzhou financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Guangzhou Pink Sheet history
Guangzhou 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 Guangzhou is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Guangzhou RF Properties 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 Guangzhou stock prices may prove useful in developing a viable investing in Guangzhou
Guangzhou RF Properties Co., Ltd., together with its subsidiaries, engages in the development and sale of residential and commercial properties in the Peoples Republic of China, Malaysia, Cambodia, Korea, the United Kingdom, and Australia. Guangzhou RF Properties Co., Ltd. was founded in 1994 and is headquartered in Guangzhou, the Peoples Republic of China. Guangzhou operates under Real EstateDevelopment classification in the United States and is traded on OTC Exchange. It employs 32362 people.
Guangzhou Pink Sheet Technical Analysis
Guangzhou 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.
Price Boundaries
Guangzhou Period Price Range
Low | December 20, 2024
| High |
0.00 | 0.00 |
Guangzhou RF Properties cannot be verified against its exchange. Please verify the symbol is currently traded on PINK 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.
Guangzhou December 20, 2024 Market Strength
Market strength indicators help investors to evaluate how Guangzhou pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Guangzhou shares will generate the highest return on investment. By undertsting and applying Guangzhou pink sheet market strength indicators, traders can identify Guangzhou RF Properties entry and exit signals to maximize returns
Guangzhou Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Guangzhou's price direction in advance. Along with the technical and fundamental analysis of Guangzhou Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Guangzhou 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 | 0.1036 | |||
| Jensen Alpha | 1.78 | |||
| Total Risk Alpha | 1.29 | |||
| Treynor Ratio | (0.61) |
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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 Guangzhou Pink Sheet analysis
When running Guangzhou's price analysis, check to measure Guangzhou'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 Guangzhou is operating at the current time. Most of Guangzhou's value examination focuses on studying past and present price action to predict the probability of Guangzhou's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guangzhou's price. Additionally, you may evaluate how the addition of Guangzhou to your portfolios can decrease your overall portfolio volatility.
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