QAWSX Mutual Fund Technical Analysis

QAWSX -  USA Fund  

USD 9.13  0.01  0.11%

As of the 24th of May, Q3 All-Weather owns the standard deviation of 0.7907, and Market Risk Adjusted Performance of 5.7. In connection with fundamental indicators, the technical analysis model allows you to check timely technical drivers of Q3 All-Weather Sector, as well as the relationship between them. Strictly speaking, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns, or the prices will eventually revert. We are able to interpolate and collect nineteen technical drivers for Q3 All-Weather, which can be compared to its peers in the sector. Please check Q3 All-Weather Sector standard deviation, as well as the relationship between the value at risk and kurtosis to decide if Q3 All-Weather Sector is priced favorably, providing market reflects its prevailing price of 9.13 per share.
  
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Q3 All-Weather technical mutual fund 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.
A focus of Q3 All-Weather technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Q3 All-Weather 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...

Q3 All-Weather Sector Technical Analysis

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The output start index for this execution was fourty with a total number of output elements of twenty-one. 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 Q3 All-Weather Sector volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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Q3 All-Weather Sector Trend Analysis

Use this graph to draw trend lines for Q3 All-Weather Sector. You can use it to identify possible trend reversals for Q3 All-Weather 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 Q3 All-Weather price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Q3 All-Weather Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Q3 All-Weather Sector applied against its price change over selected period. The best fit line has a slop of   -0.0081  , which may suggest that Q3 All-Weather Sector market price will keep on failing further. It has 122 observation points and a regression sum of squares at 2.47, which is the sum of squared deviations for the predicted Q3 All-Weather price change compared to its average price change.

About Q3 All-Weather 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 Q3 All-Weather Sector 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 Q3 All-Weather Sector based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Q3 All-Weather Sector stock first instead of the macroeconomic environment surrounding Q3 All-Weather Sector. By analyzing Q3 All-Weather'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 Q3 All-Weather'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 Q3 All-Weather specific price patterns or momentum indicators. Please read more on our technical analysis page.

Q3 All-Weather May 24, 2022 Technical Indicators

Most technical analysis of QAWSX 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 QAWSX from various momentum indicators to cycle indicators. When you analyze QAWSX 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.
Please see Your Equity Center. Note that the Q3 All-Weather Sector information on this page should be used as a complementary analysis to other Q3 All-Weather's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

Complementary Tools for QAWSX Mutual Fund analysis

When running Q3 All-Weather Sector price analysis, check to measure Q3 All-Weather'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 Q3 All-Weather is operating at the current time. Most of Q3 All-Weather's value examination focuses on studying past and present price action to predict the probability of Q3 All-Weather's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Q3 All-Weather's price. Additionally, you may evaluate how the addition of Q3 All-Weather to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Q3 All-Weather's value and its price as these two are different measures arrived at by different means. Investors typically determine Q3 All-Weather value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Q3 All-Weather's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.