Risk-on expansion: correlation with equities
Pattern summary:
When SUPER’s returns show a clear rise in correlation and beta versus global equity indices (S&P-like proxies) while macro liquidity proxies (e.g., rising commercial bank reserves, falling term premia, or easing central bank statements) are improving, SUPER tends to participate in risk-on rallies.
Repeatable measurement:
Compute a rolling 30-90 day Pearson correlation and beta of SUPER returns against a broad equity index proxy; calculate a liquidity composite (central bank balance sheet change, short-term funding spreads, and money-market rates).
Trigger criteria:
Correlation > 0.5 and beta > 0.6 sustained for 10+ trading days while liquidity composite improves sequentially for 2+ weeks.
Market behavior and edge:
Under this pattern, crypto-assets historically see above-average returns as capital rotates into risk assets; spotting the start and fade of the correlation gives an edge to time exposure.
Risk management:
Correlation can break down during sudden risk-off; use time stops on macro divergence and scale positions relative to realized volatility.
Implementation:
Automate alerts for the rolling correlation and liquidity composite thresholds, confirm with options-implied skew and futures open interest to ensure institutional participation.
This pattern is repeatable because it rests on observable macro drivers and cross-asset flow dynamics, and is applicable to monitoring SUPER as a risk-asset proxy rather than relying on idiosyncratic on-chain signals.