From data to decision
in milliseconds.
Market data flows through AI agents, a financial reasoning model, and a quant engine — delivering trading signals to your dashboard in real-time.
The 4-Step Process
How QuantWise OS transforms raw data into actionable signals
Connect Data Sources
QuantWise OS connects to live market data via pre-built MCP servers — Binance, Alpaca, CoinGecko, FRED economic data, and crypto news feeds. All sources stream directly into the agent ecosystem.
AI Agents Analyze
19 AI investor personas (Buffett, Burry, Lynch, Graham, Munger, Taleb and more) independently analyse market data. Each agent has unique memory, tool access, and an investment philosophy — they debate, vote, and reach consensus.
FHRM Reasons
Financial Hierarchical Reasoning Model processes agent outputs through a three-level hierarchy: Meta (long-term goals), High (strategic planning), Low (numerical execution). The C-module enforces financial constraints.
Execute & Monitor
The Rust quant engine runs 120+ stochastic models, computes risk metrics, and executes strategies. Portfolio is monitored in real-time with live P&L, Sharpe tracking, and risk alerts.
System Architecture
End-to-end data flow from market sources to your dashboard
Multi-Agent Orchestration
19 AI investor personas debate positions, vote, and reach consensus. Each agent operates independently with its own investment philosophy.
FHRM Reasoning Pipeline
Financial Hierarchical Reasoning Model processes signals through M-H-L hierarchy with conscience-constrained validation.
Technology Stack
The infrastructure powering QuantWise OS
- Next.js 14
- React 18
- Tailwind CSS
- Framer Motion
- Pulse Runtime
- FastAPI
- Node.js
- API Gateway
- FHRM (27M)
- Vinela (7B)
- 70B Foundation
- 19 Agent Personas
- Rust Quant Engine
- MCP Protocol
- Headroom Compress
- Cloudflare
Ready to try it?
Download QuantWise OS free. No credit card required.