Predictis

Predictis employs a fully systematic, quantitative approach to investing. The firm builds statistical models — incorporating mean-reversion, momentum, and pattern-recognition signals — and executes them algorithmically across liquid markets. This removes discretionary judgment from individual trade decisions, making the process repeatable and rules-based.

The firm deploys capital across equities, futures, and foreign exchange markets. These are traded through direct market access infrastructure, with automated position sizing and risk management. The strategy set is diversified across multiple uncorrelated signals to reduce drawdown correlation to benchmark indices.

Predictis' operating model depends on quantitative researchers, data engineers, and software developers. The firm's technology-first architecture, where investment processes are encoded rather than delegated to portfolio managers, would typically recruit from academic programs in statistics, computer science, and physics, as well as from competing systematic trading firms. No specific hiring details are publicly disclosed.

Predictis is structured as an asset manager, not a family office. The firm runs a quantitative, systematic strategy platform rather than managing a single family's wealth. There is no public indication of a family-office structure, affiliated family wealth vehicle, or multi-family-office service model.

Risk management at Predictis is automated and algorithmic. Position sizing, portfolio-level exposure, and stop-losses are governed by the systematic framework rather than human override. The firm deploys systematic risk controls at both the strategy and portfolio level, with protocols designed to adapt to changing volatility regimes.