Commercial Operations

Business Model

A Trading OS business model focused on SaaS tooling, data services, AI diagnostics, enterprise licensing, and implementation services.

Platform positioning

The product is not a trading bot, advisory service, or managed account product. It is infrastructure for Taiwan futures quant workflows: data governance, research, backtesting, paper/shadow trading, risk controls, OMS, broker gateway abstraction, and auditability.

Revenue architecture

SaaS subscriptions
Usage-based billing
Enterprise licensing and private deployment
Data services and AI diagnostics
Training, onboarding, and implementation

Commercial moat

Infrastructure revenue before regulated services

Early revenue should come from technical infrastructure, not promised trading performance. Compliance-dependent models such as performance fees, managed accounts, copy trading, signal subscriptions, or broker fee-sharing require separate legal and regulatory review.

Data governance

Rollover-aware, versioned Taiwan futures datasets can become recurring data infrastructure.

Enterprise controls

RBAC/ABAC direction, audit logs, private cloud, and SLA support institutional procurement.

Marketplace direction

Strategy distribution can create network effects only after review, risk labeling, and compliance controls.