GlobalFinance Inc., a mid-sized asset management firm, was struggling with scaling their operations. Their team of 40 analysts was spending 6 hours a day manually reconciling trades and adjusting portfolio weights across 12 different platforms.
This manual process wasn't just slow; it was risky. During periods of high volatility, the lag time between decision and execution was costing them basis points that added up to millions in lost opportunity.
The Vistro Solution
We deployed a custom instance of Vistro Core integrated with their existing OMS (Order Management System).
Instead of replacing their analysts, we built "Shadow Agents" that would run simulations of every proposed trade 10,000 times against historical and synthetic market data.
"Before Vistro, we were driving blind in a storm. Now, we have a GPS that predicts the lightning."— Marcus Vance, VP of Operations
Implementation
The rollout occurred in three phases over 8 weeks:
- Phase 1: Data Ingestion. Connecting to 15 years of their historical trade data.
- Phase 2: Shadow Mode. Running agents in parallel with humans to verify accuracy without executing trades.
- Phase 3: Live Execution. Allowing agents to auto-execute trades under $500k value with risk parameters.
The Results
The impact was immediate. By automating the routine rebalancing, analysts were freed up to focus on high-value alpha generation strategies. The system now handles 85% of trade volume autonomously.