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AI that assists — not autopilot

Build with natural language in Algo Trading

Draft and explore strategy ideas by writing or speaking — then you edit the rules. Everything stays visible; nothing goes live without you.

Hi Rehor
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Zero-Friction Migration

FalconScript™: Legacy Logic, Modern Speed

Readable logic familiar to EasyLanguage™ and PowerLanguage™ traders. Bring proven desktop-style strategies into a modern workspace — with guidance, not a black-box rewrite. FalconScript™ stays simple enough for non-programmers and strong 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.

AI that assists — not autopilot

Integrated AI Assistant

Draft and explore in natural language, then you edit the rules. The assistant helps analyze results and surface issues — everything stays visible, and nothing goes live without you.

For educators — on the roadmap

Mentor Hub

A dedicated workspace direction for mentors and academies: share strategies and portfolios with students, keep IP clearer, and reduce version chaos. We’re exploring this with design partners — help shape it.

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 a modern cloud workspace with auditable AI assistance. 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.

LinkedIn

The Problem

Why Now

The founder story and our technology answer the same question: systematic traders deserve infrastructure that matches their ambition—not more hours lost to ops.

~20%

Of trading time lost to "technical plumbing"—unstable servers, manual data mapping, monitoring, and debugging legacy code instead of refining alpha.

Backtest vs live gap

Most platforms offer no reliable way to reconcile backtest theory with live reality—so edge erodes in production before you can diagnose why.

Desktop vs cloud-native

Fragmented desktop workflows cannot keep pace with an agentic, cloud-native model where intent, execution, and verification run in one continuous loop.

How We Build

Our Principles

Three pillars that guide every product decision—trust through transparency, not black boxes.

Trader-first

Strategic intent over infrastructure. Your time belongs to the market—not to VPS babysitting, contract rolls, or patchwork scripts.

Auditable AI

Embedded intelligence that transforms natural language into FalconScript™ you can inspect, version, and replay—not opaque signals you cannot defend.

Institutional bar

NautilusTrader, portfolio-first architecture, and our proprietary PWFA—institutional-grade execution and validation, without the institutional overhead.

Who We Serve

Built For

TradingBoard.ai is for traders who already think systematically—from solo quants to institutions—and are ready to leave the desktop trap behind.

Worker Traders

Individual quants acting as CEOs of their own algorithmic operations—designing, testing, and running strategies without a full-time DevOps team.

Mentors & Educators

Academy leaders exploring Mentor Hub (roadmap) — share portfolios and strategies with students while protecting intellectual property. Design partners welcome.

Semi-Pro Quants in Transition

Traders migrating from MultiCharts, TradeStation, or NinjaTrader who want proven logic, modern cloud execution, and a path into validation and early access.

For MultiCharts & TradeStation →

Institutions & Professional Traders

Deploy a local TradingBoard.ai installation for research, compliance, and desk control—while live strategies execute on your own dedicated 24/7 server infrastructure. Cloud-native by default; on-prem or hybrid when your operations model requires it.

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

Why traders look past the desktop

The pains MultiCharts and TradeStation users already feel

Backtest ≠ live

Fills, timing, and data context change in production. Without a clear research-to-live path, edge dies before you can diagnose why.

VPS and ops tax

24/7 bots mean restarts, stuck terminals, patching, and security hygiene. Strategy work turns into infrastructure work.

Many strategies, weak portfolio view

Running a book of systems needs shared risk, observability, and one place to see what is live - not a pile of charts and scripts.

What you get instead

From idea to live portfolio - in one cloud workspace

Built for systematic traders migrating from MultiCharts, TradeStation, and similar stacks. Compare us against what you use today; early access is for that evaluation.

FalconScript strategy editor in TradingBoard.ai
Write and refine strategy logic in a modern editor - AI can help draft and explain; you stay in control of the rules.
Drift analyser comparing research and live behavior
See where research and live diverge - the #1 pain when leaving a trusted desktop backtester.
Live trading workspace on laptop
Run and monitor live trading from the browser - less “is the VPS still up?” and more “is the book behaving?”
Broker connectivity in TradingBoard.ai
Broker paths designed for real execution - not a chart-only toy.
Market data feeds configuration
Datafeeds in the same workspace as research and live - fewer silent mismatches between “test data” and “trade data”.

Honest expectations

Not a magic EasyLanguage import button

TradingBoard.ai is an agentic cloud workspace with FalconScript and institutional-grade execution ideas - AI assists, it doesn’t fly on autopilot. If you live in MultiCharts or TradeStation today, use early access to pressure-test parity, ops load, and portfolio workflow against your current stack.

Looking for portfolio-first workflows more generally? See strategy portfolios. The fastest next step is still the short product demo and four questions.

The portfolio problem

Where multi-strategy traders lose time and edge

Backtest that doesn’t survive live

A strategy looks fine alone. In a book, fills, timing, and correlation change the outcome. You need a path from research to live you can trust.

No single view of the book

Charts and folders don’t show shared risk, which systems are live, or what failed overnight. Portfolio work becomes detective work.

Ops tax on every system

Each extra strategy multiplies VPS babysitting, data mismatches, and restart risk. Infrastructure eats the time you needed for research.

What portfolio-first looks like

Research, live, and diagnostics in one workspace

Built for traders who already think in portfolios - not one-off alerts. Early access is for comparing this workflow to the stack you use today.

Live trading explorer for strategy portfolios
See what is running across the book - not only a single chart tab.
Drift analyser for research vs live
Catch research-to-live drift before you scale size or add the next system.
AI assistant with strategy editor
Draft and refine logic with AI help - you keep the final rules visible and editable.
Sharing strategies and portfolios
Organize and share strategy work without a pile of desktop folders and version chaos.
Broker connectivity
Execution paths meant for live trading - not demo-only toys.
Datafeeds in the same workspace
Datafeeds sit with research and live - fewer silent mismatches across the book.

Honest expectations

Portfolio-first - not magic alpha

TradingBoard.ai is an agentic cloud workspace: AI assists, it doesn’t fly on autopilot. Use early access to pressure-test whether a portfolio workflow, live visibility, and research-to-live diagnostics beat your current process.

Coming from MultiCharts or TradeStation? Start at the migrators page.