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About Relative Performance
The Crypto Relative Performance Dashboard is OCM's cross-asset analytics tool for the top-10 crypto market. Whilst most crypto dashboards focus on one asset at a time, this one answers the comparative questions traders actually ask: *which coins are delivering the best risk-adjusted returns this cycle, how does this altcoin stack up against Bitcoin, is altcoin season arriving, and what would ADA be worth if it had Ethereum's market cap?* Six integrated views tackle the problem from different angles. The **Table** view is the core leaderboard, showing price, return, 180-day **Sortino ratio** percentile, annualised volatility, ATH drawdown, and a proprietary **OCM Score** (0-100) for each of the top 10 assets across seven timeframes (24H to 10Y). Every row expands into a detailed panel with interactive price charts, a 52-week range indicator, and six risk metrics (Sharpe, Sortino, win rate, max drawdown, best/worst day). The **Scatter** view plots all ten assets on a risk-versus-return grid with bubble size representing market cap. This is the classic 'who's in the sweet spot' visualisation with glow effects for positive/negative zones. The **Alt Season** view renders the Altcoin Season Index (0-100) across a multi-colour gradient path showing the full history since 2013, with zones marked at 75 (altcoin season) and 25 (bitcoin season). A statistics table reports average season duration, longest drought, and time since the last transition for both regimes. The **Relative Perf** view lets you chart any two cryptos head-to-head as a performance ratio normalised to 1.0 parity. This is the definitive answer to 'is ETH outperforming BTC since 2021?'. The **Valuation** view is a market-cap comparator: pick any base asset and any target market cap, and it computes the implied price ('if ADA had ETH's market cap, it would trade at X'). Finally, the **BTC.D** view delivers a sleek donut chart of real-time market dominance, dynamically isolating the top 8 assets and cleanly grouping the remainder into an 'Others' category to eliminate long-tail noise.
Signal Zones
Trading Signals by Regime
How It Is Calculated
Frequently asked questions
What is the OCM Score and how should I read it?
The **OCM Score** is a composite 0-100 rating that blends four risk-adjusted performance dimensions: total return, Sortino ratio percentile, annualised volatility, and ATH drawdown. It's calibrated specifically for crypto markets where volatility and drawdowns are naturally larger than traditional assets. Scores above 80 indicate excellent risk-adjusted performance; 65-80 is strong; 50-65 is neutral; 35-50 is weak; below 35 is poor. The weights adapt automatically to the selected timeframe, so a 10Y OCM Score applies different thresholds than a 24H score.
Why is the Sortino ratio shown as a percentile instead of raw value?
Raw **Sortino** values for crypto can range from -2 to +5 depending on regime, and the absolute level means different things at different market phases. Showing the current smoothed Sortino as a percentile within each asset's own full history answers the more useful question: *how favourable is the current risk-adjusted return regime relative to what this asset has historically delivered?* A BTC Sortino at the 90th percentile means conditions are exceptionally good for BTC specifically, regardless of the absolute ratio value.
What makes the Altcoin Season Index useful?
The **Altcoin Season Index** measures what percentage of the top 50 altcoins have outperformed Bitcoin over the trailing 90 days. Above 75 means the vast majority of alts are beating BTC (altcoin season), typically marking heavy rotation phases into speculative names. Below 25 means BTC is dominating (bitcoin season), typical of risk-off phases or early bull cycles where capital concentrates in the safest majors. Traders use it to time rotation: entering alts during the transition from bitcoin season toward altcoin season, exiting before extreme readings collapse.
How should I use the Relative Performance Ratio chart?
The **RPR** chart normalises both assets to 1.0 at the timeframe's start and plots their ratio over time. A value of 1.5x means Crypto 1 has delivered 50% more cumulative return than Crypto 2 since inception. The gradient fill intensifies based on how far from parity the ratio sits. Deep colours indicate extreme relative strength regimes. Parity touches counted in the draggable stats panel signal how often the two assets have crossed parity; high counts mean they trade in closer lockstep, low counts mean one has durably outperformed.
How does the Valuation comparator work?
The **Valuation** view answers the classic 'what would X be worth at Y's market cap?' question. The math is straightforward: implied price = (target market cap / base market cap) × current base price. The result shows the implied price, the multiple (e.g., 3.2x), and the percentage upside/downside. It's a first-order sanity check on speculative claims. It doesn't model supply dynamics, tokenomics, or network effects, but it quickly reveals whether an 'X to $100' call is mathematically consistent with a comparable's market cap or wildly extrapolated beyond the top-10's current caps.
Why does the Dominance chart only show the top 8 assets?
The global crypto market contains thousands of micro-cap tokens that clutter standard dominance charts. By isolating the top 8 and dynamically grouping the rest into an 'Others' slice, the chart provides a much cleaner, high-signal view of where the heavy capital is actually concentrated.
Why do some timeframes show CAGR whilst others don't?
For periods of one year or longer, the return column includes a **CAGR** sub-label (compound annual growth rate) that annualises the total return for apples-to-apples comparison across different horizons. For short periods (24H and 7D), CAGR is meaningless so only the total return is shown. CAGR is particularly useful when comparing a 3Y versus 10Y score: a 300% 3Y return is far more impressive than a 300% 10Y return, and CAGR makes that explicit (44% annual vs 15% annual).
How is the Scatter plot's bubble size determined?
Each bubble's radius is proportional to the square root of the asset's market cap relative to the largest asset (Bitcoin). The square root scaling prevents BTC from visually dominating the chart beyond what's useful, whilst still preserving the hierarchy. Bubbles are coloured green for positive returns in the selected timeframe and red for negative returns. The 'sweet spot' zone (upper-left: positive return, low volatility) is the efficient frontier for the current regime - assets clustering there are delivering the best risk-adjusted performance.

