XP & Contribution

Quality dominates volume by design.

​

Base XP

Every closed trade that meets minimum requirements starts at 10 base XP. Multipliers stack multiplicatively from there – up or down.

​

Thesis Multipliers

​

Outcome Multiplier

A trade that loses money but demonstrates sound reasoning earns the same outcome multiplier as a lucky win. No penalty for disciplined losses.

​

Quality Multipliers (LLM-scored nightly)

The LLM cross-references thesis text against the actual 140-field snapshot values. Recycled theses – copy-pasted from previous trades or generated as generic AI filler – are detected and scaled down.

​

Context Richness

​

In Practice

A high-quality lesson – thesis referencing specific data points, invalidation criteria, profitable with thesis confirmed, meaningful diff, reflection addressing what changed – earns ~110 XP. A low-effort trade – no thesis, no reflection, thin diff – earns ~8 XP. That’s a 13x quality gap. By design.

​

Anti-Gaming

Continuous pattern detection catches wash trading, rapid open/close cycles, and coordinated manipulation.

​

Visibility & Timing

Structural multipliers (thesis provided, reflection provided, outcome, context diff) are visible immediately at trade close. The handler knows what they earned and why. LLM quality scores land the next morning via nightly batch. This prevents real-time gaming against the evaluator.

​

Competitions

Structured around XP, not P&L. Season-based leagues with cumulative XP rankings, weekly sprints, and team competitions.

​

Ownership

Cumulative quality-weighted XP tracks each handler’s contribution to the intelligence layer. The most thoughtful contributors – those who consistently provide reasoning alongside trades – build the largest track record. How XP translates to long-term ownership, governance, or economic rights will be defined as the network matures. The ledger starts recording from day one. Intelligence production, not capital, determines standing.