Quality Online Education Stock Technical Analysis

QOEG Stock  USD 0.0008  0  77.14%   
As of the 13th of December 2024, Quality Online holds the Risk Adjusted Performance of 0.0739, variance of 2093.79, and Coefficient Of Variation of 1134.02. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quality Online, as well as the relationship between them. Please check Quality Online Education mean deviation, total risk alpha, as well as the relationship between the Total Risk Alpha and kurtosis to decide if Quality Online Education is priced some-what accurately, providing market reflects its current price of 8.0E-4 per share. As Quality Online Education appears to be a penny stock we also advise to check out its information ratio numbers.

Quality Online Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quality, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Quality
  
Quality Online's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
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.
A focus of Quality Online technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Quality Online trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Quality Online Education Technical Analysis

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The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Quality Online Education volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Quality Online Education Trend Analysis

Use this graph to draw trend lines for Quality Online Education. You can use it to identify possible trend reversals for Quality Online as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Quality Online price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Quality Online Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Quality Online Education applied against its price change over selected period. The best fit line has a slop of   0.000012  , which means Quality Online Education will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Quality Online price change compared to its average price change.

About Quality Online Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Quality Online Education on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Quality Online Education based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Quality Online Education price pattern first instead of the macroeconomic environment surrounding Quality Online Education. By analyzing Quality Online's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Quality Online's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Quality Online specific price patterns or momentum indicators. Please read more on our technical analysis page.

Quality Online December 13, 2024 Technical Indicators

Most technical analysis of Quality help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Quality from various momentum indicators to cycle indicators. When you analyze Quality charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

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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