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FROM IDEA TO LIVE
PORTFOLIO - WITH AI

TradingBoard.ai is an agentic cloud workspace for algorithmic trading — to create, validate, and run strategy portfolios, then analyze trading results. Turn your logic into something transparent, testable, and operable — so you stay a trader, not an IT operator. AI assists; it doesn’t fly on autopilot.

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

Where should we start?

Create strategy Create portfolio Learn

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 NautilusTrader^TM, 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.

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

For MultiCharts & TradeStation traders

Keep the craft.
Leave the plumbing.

You already know how to build systematic strategies. TradingBoard.ai is a cloud workspace to create, validate, and run a portfolio of strategies - then analyze live results - without babysitting a desktop stack and a VPS.

Watch demo & give feedback Request early access

~3 minutes. AI assists - it doesn’t trade on autopilot.

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.

Strategy editor trade selection in TradingBoard.ai — Inspect trades and selection in the strategy editor - so you can see what the system actually did.

AI assistant with strategy editor — AI agent alongside the editor - draft and explore faster; you keep the final rules visible and editable.

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 — Execution paths meant for live trading - not demo-only toys.

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. On NinjaTrader? See the NinjaTrader landing. The fastest next step is still the short product demo and four questions.

Watch demo & give feedback ← Back to home

For systematic traders running a book

One portfolio.
Many strategies.

Most stacks are built for a single system chart. TradingBoard.ai is built to create, validate, and run strategy portfolios - then analyze live results - so risk and ops stay visible across the whole book.

Watch demo & give feedback Request early access

~3 minutes. AI assists - it doesn’t trade on autopilot.

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.

Watch demo & give feedback ← Back to home

For traders tired of VPS babysitting

Run the book.
Not the server.

Self-managed VPS setups turn strategy work into restarts, patches, and “is it still up?” checks. TradingBoard.ai is a cloud workspace to create, validate, and run strategy portfolios - then analyze live results - with less infrastructure tax.

Watch demo & give feedback Request early access

~3 minutes. AI assists - it doesn’t trade on autopilot.

The ops tax

What VPS and desktop stacks quietly cost you

24/7 babysitting

Stuck terminals, missed restarts, and overnight failures. Strategy time becomes sysadmin time.

Patch and security drift

OS updates, key hygiene, open ports, and weak failover. One weak host can take the book offline.

No clean ops view

When something breaks, you can’t tell if it was the signal, the data, the broker, or the machine.

What you get instead

Live trading and diagnostics from the browser

Built for systematic traders who want less infrastructure work - not another remote desktop to babysit. Early access is for comparing this to your current VPS stack.

Live trading workspace in the browser — Monitor live trading from the browser - less “is the VPS still up?” and more “is the book behaving?”

Live trading explorer — A clearer view of what is running - so ops issues don’t hide in a pile of remote desktops.

Drift analyser — When live diverges from research, see it in the product - not only in a VPS log file.

Strategies explorer — Organize strategies in one workspace - fewer fragile folder trees on a rented Windows box.

AI assistant with strategy editor — AI assists with drafting and checks - you keep the rules visible; nothing goes live without you.

Broker connectivity — Execution paths meant for live trading - not demo-only toys.

Datafeeds configuration — Datafeeds in the same workspace as research and live - fewer silent mismatches after a host restart.

Honest expectations

Less ops - not zero responsibility

TradingBoard.ai is an agentic cloud workspace: AI assists, it doesn’t fly on autopilot. Use early access to pressure-test whether browser-based live visibility and fewer VPS chores beat your current runtime.

Also see strategy portfolios and MultiCharts / TradeStation.

Watch demo & give feedback ← Back to home

For mentors and academies

Mentor Hub.
Built for educators.

Teaching systematic trading should not mean emailing folders, losing versions, or exposing your edge. Mentor Hub is the roadmap direction for sharing strategies and portfolios with students - with clearer IP boundaries and less version chaos.

Watch demo & give feedback Request early access

~3 minutes. We’re exploring this with design partners - help shape it.

Why mentors struggle today

Classroom ops break before the market does

Version chaos

Students run different copies of the same strategy. Fixes don’t propagate. Support tickets multiply.

IP risk

Sharing “for learning” often means shipping the whole edge in a zip file. Mentors need clearer boundaries.

No shared workspace

Desktop stacks and chat threads don’t scale to a cohort. Mentors become unpaid IT for every student machine.

What Mentor Hub aims to be

Share portfolios and strategies without the mess

On the product roadmap for educators and academies. Early access feedback from mentors helps us prioritize the right share, review, and IP controls.

Mentor Hub workspace concept — Mentor Hub direction - a dedicated space to manage teaching workflows around strategies and portfolios.

Mentor Hub detail view — Clearer structure for mentor and student work - less “which file is the real one?”

Sharing strategies and portfolios — Share paths designed for collaboration - not a pile of desktop exports in email.

Strategies explorer — Keep strategy libraries organized in one cloud workspace - easier to teach from a single source of truth.

AI assistant with strategy editor — AI can help students explore ideas - mentors still set the rules and review what goes live.

Honest expectations

Roadmap - not a finished classroom LMS

Mentor Hub is a product direction we’re validating with educators. TradingBoard.ai remains an agentic cloud workspace for systematic traders: AI assists, it doesn’t fly on autopilot. If you teach or run an academy, early access feedback is how we decide what ships first.

Also trading yourself? See strategy portfolios or MultiCharts / TradeStation.

Watch demo & give feedback ← Back to home

For NinjaTrader traders

Keep the edge.
Drop the desktop tax.

You already ship systematic logic in NinjaScript (C#). TradingBoard.ai is a cloud workspace to create, validate, and run a portfolio of strategies - then analyze live results - without babysitting a local workstation, connection manager, and VPS. AI can help rewrite your ideas into FalconScript or Python on our TBAI SDK - you stay the author.

Watch demo & give feedback Request early access

~3 minutes. AI assists - it doesn’t trade on autopilot.

Why NinjaTrader traders look past the desktop

Familiar pains when the stack is local

Analyzer ≠ live book

Strategy Analyzer looks clean until fills, timing, and session context hit production. Without a clear research-to-live path, you can’t diagnose the gap fast enough.

Connections and uptime

Data vendors, broker connections, restarts, and VPS babysitting steal hours from strategy work. Ops becomes the real second job.

Many systems, weak portfolio view

Running a book of NinjaScript systems needs shared risk and one place to see what is live - not a mosaic of charts, workspaces, and machines.

Migration path

AI-assisted rewrite - not a black-box C# converter

Paste a NinjaScript strategy. The AI drafts FalconScript or Python (via our TBAI SDK) you can read and edit. You review, compile, backtest, then use drift analysis to compare against what you ran on NinjaTrader. We do not claim automatic 1:1 C# → Python migration - platform APIs and fill semantics still need a human author.

You stay the author of the rules - every line is inspectable
FalconScript for readable strategy logic; Python + TBAI SDK when you want full programmatic power
Validate with backtest + live drift - not faith in a magic import

What you get instead

From NinjaScript craft to a live portfolio - in the cloud

Built for systematic traders evaluating a move off NinjaTrader. Compare ops load, portfolio workflow, and rewrite quality against your current stack; early access is for that evaluation.

AI assistant with strategy editor — AI alongside the editor - draft FalconScript or Python (TBAI SDK) from your NinjaScript ideas; you keep the final rules visible and editable.

FalconScript strategy editor in TradingBoard.ai — FalconScript editor - readable strategy logic you refine after the AI draft (click to enlarge).

Drift analyser comparing research and live behavior — See where research and live diverge - the #1 pain when leaving a trusted desktop analyzer.

Strategy editor trade selection in TradingBoard.ai — Inspect trades and selection in the strategy editor - so you can see what the system actually did.

Live trading workspace on laptop — Run and monitor live trading from the browser - less “is the machine still connected?” and more “is the book behaving?”

Broker connectivity in TradingBoard.ai — Execution paths meant for live trading - not demo-only toys.

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 NinjaScript import button

TradingBoard.ai is an agentic cloud workspace - FalconScript, Python on our TBAI SDK, and AI that drafts for you to review. It doesn’t fly on autopilot and it doesn’t silently convert every NinjaScript API. If you live in NinjaTrader today, use early access to pressure-test rewrite quality, ops load, and portfolio workflow against your current stack.

Coming from MultiCharts or TradeStation? See that landing. Portfolio-first? See strategy portfolios.

Watch demo & give feedback ← Back to home

For traders tired of AI hype

AI that assists.
Not autopilot.

The market is flooded with “AI trading bots” and black-box signals. TradingBoard.ai is for systematic traders who want the opposite: an agentic cloud workspace where AI drafts and explains, you keep visible rules, and nothing goes live without you.

Watch demo & give feedback Request early access

~3 minutes. Help us pressure-test whether this stance matches how you actually trade.

Why serious traders distrust “AI trading”

Hype burned trust - and capital

Black-box signals

If you cannot read, version, and replay the rules, you cannot defend a losing week - or improve the edge.

Autopilot promises

“Set and forget AI” sells well. Live markets punish it. Someone still owns risk, fills, and kill-switches.

No research-to-live story

Pretty chat UIs don’t explain why backtest and live diverge. Without drift diagnostics, AI is theater.

Our stance

Draft with AI. Ship with you.

Describe an idea in plain language. The assistant helps turn it into FalconScript or Python on our TBAI SDK - inspectable, editable, and under your control. AI can analyze results and guide the workflow. It does not place live orders on its own.

Every rule stays visible - no opaque “trust the model” live path
You approve what goes live - AI assists; it doesn’t fly the book
Backtest, live visibility, and drift analysis stay in the same workspace

What that looks like

Auditable assistance in a portfolio workspace

Built for traders who want modern AI help without surrendering authorship. Early access is how we test whether this framing matches your standards.

AI assistant with strategy editor — AI beside the editor - draft and explore faster; the strategy text stays readable and under your edit control.

AI assistant panel in TradingBoard.ai — Ask, draft, explain - assistance that stays in the workflow, not a separate black-box bot.

Drift analyser comparing research and live behavior — Drift analysis - so “AI helped” still meets “prove research vs live.”

FalconScript strategy editor — FalconScript - readable rules you refine after the AI draft (click to enlarge).

Live trading workspace on laptop — Live portfolio visibility from the browser - ops and risk stay yours, not an unsupervised agent’s.

What we will not claim

No magic money printer. No unsupervised live AI.

We will not pitch guaranteed returns, secret models that trade for you, or AI that replaces your judgment on risk. If that is what you want, this product is not for you - and that is intentional. If you want a cloud workspace for strategy portfolios with auditable AI assistance, watch the short demo and tell us where we still sound like hype.

Migrating stacks? See MultiCharts / TradeStation or NinjaTrader. Portfolio-first? See strategy portfolios.

Watch demo & give feedback ← Back to home

Let's shape the future
of alpha together

Whether you're a mentor looking to scale, an expert trader, or a potential partner—we're listening.

Or contact us at
info@tradingboard.ai

Product sign-in coming soon

The trading workspace login isn’t open publicly yet. While we build it, you can join the waitlist or help shape the product with a short demo and feedback.

Watch demo & give feedback Request early access ← Back to home

Questions? info@tradingboard.ai

Participants

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