Comparative Equity Analysis

Peer comparison for the selected set provides quick context before deeper valuation work.
Specify up to 10 symbols:

Correlation Matrix

Looking at correlation across portfolio positions is useful because price moves that appear diversified on paper can still be driven by the same underlying market forces. The practical value is that investors can see where diversification may be working and where portfolio construction may still be too dependent on one shared driver.

High positive correlations

CRMMSFT
XOMMRK
XOMT
UBERMSFT
MRKT
AMSFT
  

High negative correlations

XOMCRM
XOMMSFT
TMSFT
MRKMSFT
MRKCRM
TUBER

Risk-Adjusted Indicators

There is a big difference between a company's stock performing well and the company itself 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 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.

Competitive Analysis

    
 Better Than Average     
    
 Worse Than Peers    View Performance Chart
AAL AA AAPL BBY C S CVS CVX HD IBM
 2.37 
10.30
American
 3.55 
63.59
Alcoa
 2.21 
250.12
Apple
 0.02 
62.59
Best
 0.18 
105.69
Citigroup
 5.37 
14.52
SentinelOne
 0.08 
76.13
CVS
 0.08 
196.82
Chevron
 0.03 
339.03
Home
 0.57 
246.28
International
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 Analysis
(Average Analysts Consensus)
Trade Advice
(90 Days Macroaxis Advice)
Current Ratio
Net Asset
Profit Margin
EBITDA
Operating Margin
Current Valuation
Price To Book
Retained Earnings
Current Asset
Five Year Return
Beta
Number Of Employees
Shares Outstanding
Cash Flow From Operations
Annual Yield
Total Debt
Return On Equity
Return On Asset
Number Of Shares Shorted
Book Value Per Share
Current Liabilities
Total Asset
Debt To Equity
Short Ratio
Target Price
Last Dividend Paid
Shares Owned By Institutions
Market Capitalization
Price To Earning
Price To Earnings To Growth
Price To Sales
Net Income
Earnings Per Share
Shares Owned By Insiders
Revenue
Working Capital
Cash And Equivalents
Cash Per Share
Gross Profit
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
Relative Strength Index
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

Market Neutrality

Market-neutral analysis matters because paired positions can hedge away part of the broad directional market risk while preserving exposure to relative pricing differences. The more closely the trade thesis is tied to relative value instead of absolute direction, the more important this framework becomes.
Please specify at least one valid symbol
Pair trading deserves careful modeling because even a well-known relationship can widen, compress, or structurally change when fundamentals or market leadership shift. The stronger process treats correlation as one input, then monitors whether the spread remains tradable once news, liquidity, and regime shifts enter the picture.

How to Analyze Peer Competition

Peer analysis compares companies with similar business models, markets, and risk profiles. The goal is to separate company-specific signals from broader sector moves using consistent data. A practical peer review usually includes:
  • Define the peer set: Select direct peers and close substitutes with similar revenue drivers and exposure.
  • Benchmark fundamentals: Compare margins, growth, leverage, liquidity, and cash generation.
  • Compare valuation: Review multiples in context of quality, growth durability, and balance-sheet risk.
  • Review risk and co-movement: Use volatility and correlation to test diversification assumptions.
  • Summarize relative position: Identify where the company leads or lags and what may explain the gap.
This framework is educational and should be combined with your own due diligence and portfolio constraints.

Use Investing Themes to Complement your positions

Investors often get a better portfolio result when a thesis is reviewed as part of a broader theme rather than as an isolated holding. The practical benefit is that the selected idea can be tuned either for higher upside or for tighter risk control.

Did You Try This Idea?

Run Agency Mbs ETFs Thematic Idea Now

Agency Mbs ETFs
Agency Mbs ETFs Theme
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Agency Mbs ETFs theme has 14 constituents at this time.
Explore the Agency Mbs ETFs Theme as a thematic allocation that can be optimized for return targets or risk constraints.
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The analysis presented here should support, not replace, the broader process of selecting and combining portfolio holdings. The practical goal is to improve the mix of assets already under consideration. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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