Compass Maximum Competition

0P0000G368  CAD 47.72  0.06  0.13%   
  
Hype
Prediction
LowEstimatedHigh
47.1647.7248.28
Details
Intrinsic
Valuation
LowRealHigh
47.1047.6648.22
Details
Naive
Forecast
LowNextHigh
47.0847.6448.20
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
46.6747.4348.20
Details

Compass Maximum Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Compass Maximum and its competitors represents the degree of relationship between the price movements of corresponding funds. A correlation of about +1.0 implies that the price of Compass and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Compass Maximum Growth does not affect the price movement of the other competitor.

High positive correlations

0P000075VF0P0000G368
0P000075VF0P000070OO
0P000070OO0P0000G368
0P0000820A0P0001N8MZ
0P000075GQ0P000070OO
0P0001N8MZFTHI
  

High negative correlations

GLDEFTHI
0P0001N8MZGLDE
0P000075GQ0P0001N8MZ
0P0000820A0P000075GQ
0P0001N8MZ0P00007694
0P0001N8MZ0P000070OO

Risk-Adjusted Indicators

There is a big difference between Compass Fund performing well and Compass Maximum Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Compass Maximum's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
0P0000G368  0.45  0.02 (0.04) 0.50  0.55 
 0.82 
 2.16 
FTHI  0.54 (0.11) 0.00 (0.38) 0.00 
 0.97 
 6.80 
GLDE  2.05  0.31  0.10  0.55  2.76 
 3.87 
 13.95 
0P00007694  0.66 (0.05) 0.00  2.28  0.00 
 0.98 
 8.55 
0P000070OO  0.33  0.03 (0.04) 1.14  0.39 
 0.65 
 1.89 
0P0001N8MZ  0.50 (0.04) 0.00 (0.09) 0.00 
 0.95 
 2.72 
0P000075GQ  0.03  0.00  0.00  0.18  0.00 
 0.11 
 0.33 
0P0000820A  0.64 (0.02)(0.03) 0.02  1.14 
 1.05 
 4.83 
0P000075VF  0.60  0.03 (0.02) 0.42  0.79 
 1.20 
 3.64 

Compass Maximum Competitive Analysis

The better you understand Compass Maximum competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Compass Maximum's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Compass Maximum's competition over several years is one of the best ways to analyze its investment potential.
    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
0P0000G368 FTHI GLDE 0P00007694 0P000070OO 0P0001N8MZ 0P000075GQ 0P0000820A 0P000075VF
 0.13 
 47.72 
Compass
 0.26 
 11.38 
Fidelity
 0.32 
 34.60 
Ninepoint
 0.00 
 29.27 
Fidelity
 0.06 
 79.12 
FRIQUE
 0.52 
 13.42 
Mackenzie
 0.00 
 9.08 
0P000075GQ
 0.11 
 94.97 
Mawer
 0.29 
 23.70 
0P000075VF
Market Volatility
(90 Days Market Risk)
Market Performance
(90 Days Performance)
Odds of Financial Distress
(Probability Of Bankruptcy)
Current Valuation
(Equity Enterprise Value)
Buy or Sell Advice
(Average Analysts Consensus)
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Not Available
Trade Advice
(90 Days Macroaxis Advice)
Cash Position Weight
Equity Positions Weight
Three Year Return
Net Asset
Minimum Initial Investment
Five Year Return
One Year Return
Bond Positions Weight
Ten Year Return
Day Typical Price
Accumulation Distribution
Market Facilitation Index
Daily Balance Of Power
Period Momentum Indicator
Rate Of Daily Change
Day Median Price
Price Action Indicator
Coefficient Of Variation
Mean Deviation
Jensen Alpha
Total Risk Alpha
Sortino Ratio
Downside Variance
Standard Deviation
Kurtosis
Potential Upside
Treynor Ratio
Maximum Drawdown
Variance
Market Risk Adjusted Performance
Risk Adjusted Performance
Skewness
Semi Deviation
Information Ratio
Value At Risk
Expected Short fall
Downside Deviation
Semi Variance

Compass Maximum Competition Performance Charts

Five steps to successful analysis of Compass Maximum Competition

Compass Maximum's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Compass Maximum Growth in relation to its competition. Compass Maximum's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Compass Maximum in the market, both direct and indirect, as well as new entrants and disruptive technologies.
  • Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
  • Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Compass Maximum's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Compass Maximum Growth, and developing a strategy to address them.
  • Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your Compass Maximum position

In addition to having Compass Maximum in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Municipals ETFs Thematic Idea Now

Municipals ETFs
Municipals ETFs Theme
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Municipals ETFs theme has 155 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Municipals ETFs Theme or any other thematic opportunities.
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Other Information on Investing in Compass Fund

Compass Maximum financial ratios help investors to determine whether Compass Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Compass with respect to the benefits of owning Compass Maximum security.
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