VRAISON is more than a trading bot — it’s a new model for how AI systems should be designed, developed, and deployed.
Born out of a simple trading question and elevated through collaboration with multiple AI systems, VRAISON stands for “vrai + raison” — truth and reason. It’s a fully local, multi-agent AI system engineered to make disciplined, high-confidence trading decisions while prioritizing risk, transparency, and control.
But VRAISON isn’t just about finance.
It’s about demonstrating what’s possible when AI is treated as a design partner, not just a tool.
What we are building
At its core, VRAISON is a modular, role-based AI architecture made up of five specialized agents:
- VRAISONTRADE – strategic analyst for high-confidence swing trades
- VRAISONTRIGGER – momentum specialist for short-term setups
- VRAISONGUARD – risk manager with veto power and position control
- VRAISONMACRO – market context engine tracking trends and volatility
- VRAISONENSEMBLE – decision coordinator that synthesizes all agent inputs into a single, auditable action plan
Each agent operates locally using cutting-edge open-source models like Mistral 7B, with structured outputs, strict technical standards, and a risk-first approach to every trade.
What we are trying to accomplish
Shift the AI Paradigm
I want to demonstrate that high-performance AI systems don’t have to be centralized or monolithic. By using multiple local models working together, we can achieve results that rival — or exceed — single-model solutions, while retaining privacy, control, and modularity.
Build Institutional-Grade Tools for Individual Traders
VRAISON is designed to give individual users access to the same level of rigor, structure, and risk management that institutional trading desks rely on — without the complexity or cost.
Make AI Transparent and Accountable
Every recommendation made by VRAISON includes detailed reasoning, confidence levels, and risk parameters. No black-box logic, no blind trust — just clear, structured decision-making.
Create a Blueprint for Multi-Agent AI Systems
Beyond trading, VRAISON is a reference architecture for how to design domain-specific AI systems using role-based agents. This framework can be adapted for investment research, strategic planning, product design, and any field where high-quality decisions matter.
The Broader Vision
VRAISON isn’t just a product — it’s a proof of concept.
It shows how AI can augment human decision-making with structure, clarity, and discipline. It reflects my belief that the future of AI isn’t in singular models trying to do everything, but in collaborative systems that combine multiple perspectives into one reasoned response.
And it’s built to run privately, securely, and fast — without relying on any external cloud provider.
This is AI designed for the edge, built for strategy, and grounded in reason.
Want to learn more, collaborate, or build something like this for your domain? Let’s connect.
VRAISON AI BLOG - By Pete Corcoran 