About

Macro momentum, applied systematically

Luccai applies AI-driven quantitative processes to macro-momentum investing — systematic, evidence-based models, read by managers who know when to lean on them and when not to.

Processes

What the models are built on

Macroeconomic factors are key drivers

Macroeconomic factors are pivotal in determining market and stock returns. They set the level of earnings, the cost of money through interest rates, and the financial liquidity that decides what those earnings are worth.

The advantage of AI-driven quantitative process

Quantitative models give a systematic, evidence-based edge: the same question asked the same way every day, across every instrument, without the drift that comes from reading each case afresh.

Flexibility

Where judgement still belongs

The role of expert discretion

Experienced managers are critical in interpreting quantitative output and applying discretion. A score is an input to a decision, not the decision — and knowing which is which is the job.

Diversification and flexibility

Diversification and flexibility strengthen a strategy, and matter most in exactly the markets where a single reading is least reliable. The models are built to be combined, not followed one at a time.