The Natural Language Revolution

Vibe Coding in Algo Trading

We believe the era of manual scripting is ending. We are building the infrastructure to design strategies by writing and speaking.

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Zero-Friction Migration

FalconScript™: Legacy Logic, Modern Speed

Native compatibility with the industry's legendary languages. Import your EasyLanguage™ or PowerLanguage™ strategies instantly. FalconScript™ is simple enough for non-programmers but powerful enough for professional quants.

// Native Strategy Migration
Inputs: Length(20), StdDev(2);
Vars: UpperBand(0);

UpperBand = Average(Close, Length) + (StdDev * StdDev(Close, Length));

If Close crosses over UpperBand Then Buy next bar;

Institutional Infrastructure, Zero Maintenance

Operationally Lean: Reclaim Your Time

Stop wasting 5+ hours a week on futures contract mapping, VPS server monitoring, and security troubleshooting. Eliminate capital loss caused by unreliable hardware and faulty local operations.

Scale Beyond Single Strategies

Portfolio-First Architecture

Centralize hundreds of strategies in one management system. Validate your total risk using our proprietary Portfolio Walk-Forward Analyzer (PWFA) and institutional-grade backtester.

Powered by NautilusTrader™

Institutional-Grade Execution

TradingBoard.ai integrates NautilusTraderTM, an asynchronous multi-asset engine. With a Rust and Python core, it provides institutional-grade execution architecture for advanced systematic traders.

Agentic AI platform

Integrated AI Assistant

TradingBoard.ai is built from scratch as a Stateful Recursive Learning System. Our orchestration layer acts as a 'manager,' coordinating specialized agents through a perpetual loop of planning, execution, and verification. Use the embedded AI to autonomously analyze execution logs, identify regime shifts, and transform natural language 'vibes' into auditable FalconScript™ logic.

Monetize Your Expertise

The Mentor Hub

A dedicated workspace for educators. Share strategies and portfolios with students while securing your Intellectual Property. Build recurring revenue through automated licensing.

Complex logic. Simple organization

Familiar, Cloud-Native Workspace

Stop digging through fragmented folders and desktop files. TradingBoard.ai introduces a familiar, cloud-native interface to manage hundreds of strategies.

TradingBoard UX
TradingBoard UX 2

The Central Intelligence Hub

All-in-One Management

Whether you are a retail or a professional quant, imagine managing your entire global operation—powered by multiple data feeds and brokers—from a single, agentic-native interface.

Our Mission

"We believe that the next generation of Alpha won't be found by writing thousands of lines of manual code, but by directing intelligent agents."

TradingBoard.ai was founded to bridge the gap between 30 years of proven quantitative rigor and the future of Cloud Collaboration and Vibe Coding. Our mission is to empower individual 'Worker Traders' to act as the CEOs of their own algorithmic hedge funds.

Rehor Vykoupil

Founder

Rehor Vykoupil

Rehor is a technology entrepreneur with over 25 years of experience in software development and leadership. Before founding TradingBoard.ai, he served as CEO of a successful technology company, leading the organization from its inception through to a strategic exit.

After five years in the algorithmic trading trenches, Rehor identified a critical bottleneck: most traders spend up to 20% of their time on "technical plumbing"—wrestling with unstable servers, manual data mapping, and debugging legacy code on outdated desktop platforms—often with no way to reconcile backtest theory with live reality.

TradingBoard.ai is the realization of his vision: an Agentic AI platform for algo trading where strategic intent is exponentially enhanced by a Stateful Recursive Learning System layered over institutional-grade execution logic. It’s not just a tool; it’s an autonomous ecosystem for the modern trader.

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The Technology

Built on an Agentic Backbone

High-level architecture schema
AI agent schema

Agentic Orchestration

Utilizing Gemini 1.5 Pro to autonomously plan, iterate, and verify complex trading strategies through natural language.

FalconScript™ & Python Engines

A proprietary dual-engine system. Seamless EasyLanguage compatibility via FalconScript with the institutional power of Python and NautilusTrader.

Institutional Infrastructure

A robust data layer powered by PostgreSQL, VectorDB, and TimescaleDB for high-fidelity tick-data management and lean execution.

Product Interface

Clarity and Speed

Our interface is designed for speed. From 'Vibe' intent to full backtest reporting and live deployment, the TradingBoard.ai dashboard provides a unified view of your entire strategy lifecycle. We eliminate operational complexity so you can focus on the market.

TradingBoard product interface
TradingBoard product interface

Strategic Oversight

Advisory Board

Architect & Advisor

"With decades of experience in designing high-availability, cloud-based multi-user systems, Ivan provides the architectural oversight necessary to ensure TradingBoard.ai remains resilient, secure, and scalable. His expertise in complex backend infrastructures is foundational to our mission of providing institutional-grade tools to individual traders."

Ivan Bradac

Ivan Bradac

Cloud Infrastructure & Scalability

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Pending

Position Pending

Quantitative Finance & Risk

Pending

Position Pending

AI Integrations & LLMs