Evaluate trading opportunities
How evaluate trading opportunities are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Evaluate trading opportunities is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no seeded child occupations, the scalar is derived from the process description. The core activities—'gathering and analyzing market data,' applying 'quantitative and qualitative techniques,' and monitoring 'price'—are purely information transformation and analytical knowledge work. Even though the traded commodities (e.g., distressed crude) are physical, the evaluation process itself is highly digital.
grounded in the economy graph · digital scalar 0.90 · digital
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Evaluate trading opportunities sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Evaluate trading opportunities inherits.
Where Evaluate trading opportunities sits
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How the work flows
Trigger: Continuous market monitoring identifies a pricing anomaly, supply shift, or distressed asset availability.
- Gather real-time market data on pricing, supply, and demand
- Flag potential opportunities such as distressed crude or power arbitrage
- Model the opportunity using quantitative and qualitative valuation techniques
- Evaluate physical compatibility and logistical feasibility of the underlying commodity
- Validate the proposed trade against capital allocation limits and risk policies
- Issue a formal recommendation to execute or discard the trade
Outcome: A trading opportunity is quantitatively analyzed, checked against capital and risk limits, and submitted as an actionable trade recommendation.