Quality Online Education Stock Price on October 4, 2024
QOEG Stock | USD 0.0008 0 77.14% |
If you're considering investing in Quality Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Quality Online stands at 0.0008, as last reported on the 18th of December 2024, with the highest price reaching 0.0008 and the lowest price hitting 0.0008 during the day. Quality Online is out of control given 3 months investment horizon. Quality Online Education maintains Sharpe Ratio (i.e., Efficiency) of 0.0895, which implies the firm had a 0.0895% return per unit of risk over the last 3 months. We were able to analyze and collect data for nineteen different technical indicators, which can help you to evaluate if expected returns of 4.16% are justified by taking the suggested risk. Use Quality Online Variance of 2093.79, risk adjusted performance of 0.0738, and Coefficient Of Variation of 1134.02 to evaluate company specific risk that cannot be diversified away.
Quality Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Quality |
Sharpe Ratio = 0.0895
Best Portfolio | Best Equity | QOEG | ||
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Estimated Market Risk
46.47 actual daily | 96 96% of assets are less volatile |
Expected Return
4.16 actual daily | 83 83% of assets have lower returns |
Risk-Adjusted Return
0.09 actual daily | 7 93% of assets perform better |
Based on monthly moving average Quality Online is performing at about 7% 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 Quality Online by adding it to a well-diversified portfolio.
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Ambow Education Headline on 4th of October 2024
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An unexpected decline was observed in the stock of Ambow Education Holding Ltd. , with its share price plummeting 9.72. The stock is currently trading at
Quality Online Valuation on October 4, 2024
It is possible to determine the worth of Quality Online on a given historical date. On October 4, 2024 Quality was worth 9.0E-4 at the beginning of the trading date compared to the closed value of 9.0E-4. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Quality Online pink sheet. Still, in general, we apply an absolute valuation method to find Quality Online'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 Quality Online where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Quality Online's related companies.
Open | High | Low | Close | Volume | |
0.0009 | 0.0009 | 0.0009 | 0.0009 | 1.00 | |
10/04/2024 | 0.0009 | 0.0009 | 0.0009 | 0.0009 | 1.00 |
0.0009 | 0.0009 | 0.0009 | 0.0009 | 1.00 |
Backtest Quality Online | | | Quality Online History | | | Quality Online Valuation | Previous | Next |
Quality Online Trading Date Momentum on October 4, 2024
On October 07 2024 Quality Online Education was traded for 0.0009 at the closing time. The top price for the day was 0.0009 and the lowest listed price was 0.0009 . There was no trading activity during the period 1.0. Lack of trading volume on October 7, 2024 did not cause price change. The trading delta at closing time against the current closing price is 100.00% . |
Quality Online Education Fundamentals Correlations and Trends
By evaluating Quality Online'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 Quality Online's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Quality financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Quality Online Pink Sheet history
Quality Online 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 Quality is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Quality Online Education 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 Quality Online stock prices may prove useful in developing a viable investing in Quality Online
Quality Online Education Group Inc., an e-learning company, provides online English lessons to students in China. Quality Online Education Group Inc. is based in Richmond Hill, Canada. Quality Online operates under Education Training Services classification in the United States and is traded on OTC Exchange. It employs 60 people.
Quality Online Pink Sheet Technical Analysis
Quality Online 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
Quality Online Period Price Range
Low | December 18, 2024
| High |
0.00 | 0.00 |
Quality Online Education 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.
Quality Online December 18, 2024 Market Strength
Market strength indicators help investors to evaluate how Quality Online 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 Quality Online shares will generate the highest return on investment. By undertsting and applying Quality Online pink sheet market strength indicators, traders can identify Quality Online Education entry and exit signals to maximize returns
Quality Online Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Quality Online's price direction in advance. Along with the technical and fundamental analysis of Quality Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Quality 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 | 0.0738 | |||
Jensen Alpha | 3.97 | |||
Total Risk Alpha | 0.3819 | |||
Treynor Ratio | 4.11 |
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Pattern Recognition | ||
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Complementary Tools for Quality Pink Sheet analysis
When running Quality Online's price analysis, check to measure Quality Online'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 Quality Online is operating at the current time. Most of Quality Online's value examination focuses on studying past and present price action to predict the probability of Quality Online's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quality Online's price. Additionally, you may evaluate how the addition of Quality Online to your portfolios can decrease your overall portfolio volatility.
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