Case Study 1 Quant Research, Portfolio Construction & Risk Management
Agentic workflow across research ingestion, portfolio construction, execution monitoring, and trading operations — built on Applied Agentic's proprietary algorithms and infrastructure.
What this solved: A quant team needed research signals, portfolio construction, and risk limits in one governed pipeline — not three disconnected tools. This demo shows ticker-level vol surfaces, slide decks, Monte Carlo simulation, portfolio attribution with VaR/CVaR tail risk, factor and options Greeks monitoring, and an agent-prioritized trade execution queue wired through orchestration.
Concept workflow
Representative quant research-to-trade pipeline — overview before the interactive demo panels below.
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Demo — Agentic Workflow, RAG, and Model Orchestration
Pipeline overview
Risk management
Swipe for full Monte Carlo chart →
Building Monte Carlo frontier…
Max Sharpe 1.28 · Expected return 14.5% · Risk 11.5% · 10k trials · illustrative
Static snapshot · original design reference
Portfolio attribution & factor risk
Trade execution plan
Illustrative quant demo — not investment advice. See Terms.
What this demonstrates
- End-to-end agentic pipeline linking quant research, portfolio management, and trading systems
- Governed workflows with human-in-the-loop checkpoints and audit trails
- Fewer manual handoffs across the research-to-trade lifecycle
Representative demo — synthetic or masked data. See Terms.