> For the complete documentation index, see [llms.txt](https://cubic-2.gitbook.io/cubic-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cubic-2.gitbook.io/cubic-docs/incentive-model/reward-structure.md).

# Reward Structure

The reward system is designed to be **incremental, performance-based, and directly tied to real trading activity** within the platform.

Key components include:

* **Incremental Rewards (10% Steps)**\
  Each tier level increases reward potential through a structured percentage progression, allowing users to scale earnings as they advance
* **Dual Qualification Mechanism**\
  Users must meet both **investment thresholds and team performance targets**, ensuring that rewards are aligned with meaningful ecosystem contribution
* **Revenue from Trading Profits**\
  Rewards are derived from **prediction markets and AI-driven trading execution**, linking incentives to actual platform performance rather than arbitrary distributions

This structure creates a system where incentives are **transparent, merit-based, and sustainably funded by real economic activity**.