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Investment thesis

Regime-adaptive — economic intuition. Financial time series alternate between trending and mean-reverting regimes. A single static strategy is structurally mis-specified in at least one regime. This family detects the regime and switches logic, monetising regime-transition risk that pure trend or pure mean-reversion books leave on the table.

Risk-adjusted performance — live track record

Forward-tested daily against live market data. Metrics derived from end-of-day portfolio marks; methodology documented on the Due Diligence and About pages.

ReturnValueRisk-adjustedValue
Current portfolio worth$12128.81Sharpe ratio3.63
Total return21.29%Sortino ratio3.90
CAGR115.16%Calmar ratio16.39
Volatility (annualised)19.67%Profit factor2.20
Days live71Maximum drawdown-7.03%

Process consistency

Positive months66.7%
Best month11.13%
Worst month-0.02%
Recovery from max drawdownstill underwater

Market independence

Correlation and beta versus passive benchmarks, computed over the full live series.

BenchmarkCorrelation90-day rolling correlationBeta
S&P 500 (SPY)0.850.001.48
Bitcoin (BTC-USD)0.280.000.17

A correlation materially below 1.0 to both benchmarks indicates the strategy’s returns are not a simple re-expression of long equity or long crypto beta.

Equity curve

Live track record — forward-tested performance from the strategy's production start date.

AdaptiveMeanReversionBot live equity curve

Drawdown profile

Underwater curve — percentage below the running high-water mark. Institutional allocators read this before the equity curve.

AdaptiveMeanReversionBot drawdown profile

Current holdings

SymbolQuantity
QQQ16.4336
USD0.0000

Research & documentation

🛡️ Skin in the game: Our principals and founders deploy their own capital alongside our clients using these exact quantitative models. We are aligned with your downside.

Other strategies in the Regime-adaptive family:


For professional investors

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