Whitepaper

The framework behind the book.

An overview of how Zeropoint generates signals, constructs the portfolio, governs risk, and adapts across crypto market regimes. The full technical document — including methodology detail and the live track record — is shared privately with qualified investors.

01

Systematic framework

Every position originates from a rules-based signal, not discretion. Two core styles — mean reversion and momentum — are run long and short across a re-screened universe of liquid crypto perpetuals, complemented by market-neutral carry and prediction-market edges. Signals are confirmed on completed bars across multiple timeframes before capital is committed.

02

Portfolio construction

The engines are combined for low cross-correlation, so the blended book runs at lower volatility than any single strategy. Positions are sized as a fraction of live NAV — the book scales with capital rather than drifting — with hard per-name, per-run, and gross-exposure caps that keep any one name or style from dominating.

03

Risk governors

Sizing caps, drawdown-triggered de-risking, and mandatory protective orders on every position form a layered safety envelope. Leverage is bounded by a gross ceiling; positions above the base add carry an enforced hard stop. The machinery is designed so that a single bad trade cannot end the fund.

04

Regime adaptivity

Thresholds adapt to the prevailing volatility regime. In trending markets momentum carries the book; in chop and drawdowns, mean-reversion, carry, and prediction-market edges do. The proposition is the full cycle — shallower drawdowns and stronger compounding — not winning every month.

05

Autonomous operation

The book is operated end-to-end by an AI general partner and a desk of specialist agents for research, execution, and risk — running continuously, with a fully transparent, live-published track record.

Full document

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