Super Competitors
| SLE Stock | 4.00 -0.37 -8.47% |
Correlation: Super League vs BuzzFeed View
Very weak diversification
The correlation between SLE and BZFD is 0.51, which Macroaxis classifies as Very weak diversification for the selected horizon. Used correctly, the chart helps investors judge whether adding the second position genuinely diversifies the first.
Moving against Super Stock
The mean reversion effect in Super League is stronger when the initial deviation was driven by sentiment rather than fundamental change. Identifying the root cause of Super League's price dislocation is essential before acting.
Super League Competition Correlation Matrix
Correlation analysis between Super League Enterprise and its competitors helps investors understand whether diversification is real or only superficial inside the same peer group. This matrix is most informative when investors want to know whether adding another peer would improve diversification, increase crowding, or leave total risk largely unchanged.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Super Stock performing well and Super League Company 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 Super League'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 Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| HOFV | 3.59 | -0.77 | 0.00 | -0.57 | 0.00 | 12.90 | 12.90 | |||
| MNY | 1.49 | 0.18 | 0.11 | 0.35 | 1.39 | 4.10 | 14.85 | |||
| CMCM | 2.80 | 0.16 | 0.04 | 0.09 | 3.34 | 8.13 | 20.19 | |||
| ZNB | 10.11 | -2.60 | 0.00 | -7.03 | 0.00 | 12.90 | 93.55 | |||
| CMLS | 10.05 | -1.07 | 0.00 | -1.44 | 0.00 | 22.89 | 129.25 | |||
| ONFO | 3.73 | -0.51 | 0.00 | -0.79 | 0.00 | 9.09 | 28.08 | |||
| CNET | 4.86 | -0.77 | 0.00 | 6.13 | 0.00 | 8.11 | 72.84 | |||
| BZFD | 2.74 | -0.32 | 0.00 | -0.20 | 0.00 | 6.25 | 20.40 |
Super League Competitive Analysis
A side-by-side look at Super League, Hall Of, MoneyHero Limited, and Cheetah Mobile highlights where each stock leads or lags. Super League enters the comparison at 4.6 M with 16.2 M in revenue. Profitability is a concern, with a -137.13% net margin and -2095.51% return on equity signaling pressure on earnings. On equity returns, Hall Of earns -101.11% compared to -2095.51% at Super League. On pure scale, MoneyHero Limited is the bigger entity with market caps of 57.7 M versus 4.6 M. Top-line revenue favors Cheetah Mobile by a wide margin: 806.9 M to 16.2 M.| Better Than Average | Worse Than Peers | View Performance Chart |
Peer Performance Charts
How to Analyze Super League Against Peers
Super League's peer analysis compares Super League with related companies to put valuation, quality, and risk metrics in context. This helps determine whether recent performance is company-specific or broadly sector-driven. A practical workflow includes:- Set a relevant peer group: Include direct competitors and close alternatives with comparable business exposure.
- Benchmark core financials: Compare profitability, growth, capital structure, and cash flow quality.
- Check valuation dispersion: Review whether Super League trades at a premium or discount versus peers and why.
- Evaluate risk profile: Compare volatility, drawdowns, and correlation to avoid false diversification assumptions.
- Document the thesis: Record where Super League leads or lags and what catalysts could close or widen the gap.