Help Us Build the Right Tool · ~3 min feedback

How it works

1
Idea Natural language → draft
2
Code FalconScript / Python
3
Validate WFA · OOS · portfolio
4
Live & analyze Run · diagnose drift

Product proof

Familiar, cloud-native workspace

Manage strategies and portfolios in one place — less desktop folder chaos, more live visibility from the browser.

Strategies explorer Strategy editor

AI that assists — not autopilot

Build with natural language

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

AI assistant with strategy editor

Migration without magic

FalconScript™ for legacy logic

Readable logic familiar to EasyLanguage™ and PowerLanguage™ traders — with guidance, not a black-box rewrite. Prefer Python? Build and extend with the TBAI SDK in the same cloud workspace.

FalconScript editor

Portfolio-first

One book. Many strategies.

Centralize strategies, validate total risk with portfolio walk-forward thinking, then diagnose research-to-live drift with the Drift Analyser — and get AI help to interpret what changed and why.

Drift analyser

Less infra tax

Operationally lean

Spend less time on VPS babysitting and local ops — keep attention on the book with live visibility from the browser.

LIVE Trading Explorer LIVE Trading on mobile

For educators

Mentor Hub

Share strategies and portfolios with students with clearer IP boundaries — a simple first version aimed at MVP, with room to grow for academies.

Mentor Hub

Ready to try early access?

Rehor Vykoupil

Founder

Rehor Vykoupil

Technology entrepreneur with over 25 years in software development and leadership. Before TradingBoard.ai, he led a technology company from inception through a strategic exit.

After five years in the algorithmic trading trenches, the bottleneck was clear: too much time on technical plumbing — unstable servers, manual data mapping, legacy desktop stacks — and no clean way to reconcile backtest theory with live reality.

TradingBoard.ai is the response: an agentic cloud workspace for strategy portfolios where AI helps draft and diagnose, you keep visible rules, and nothing goes live without you.

LinkedIn

The insight

Systematic traders deserve less unpaid IT

Roughly one day in five can disappear into ops instead of alpha — and when live diverges from research, most desktop stacks leave you guessing. The product thesis is simple: one cloud workspace for create → validate → run → analyze, with less VPS babysitting and auditable AI assistance.

Product detail lives on the home page — this page is the why, not a second pitch.

How we build

Three principles

Trader-first

Your time belongs to the book — not to VPS babysitting, folder chaos, or patchwork scripts.

Auditable AI

AI drafts FalconScript or Python you can inspect and refine. Not opaque signals you cannot defend. AI assists; it doesn’t fly on autopilot.

Institutional bar

Portfolio-first validation and execution ideas without institutional overhead — including walk-forward discipline and research-to-live diagnostics.

Who it’s for

Built for systematic operators

Worker Traders

Solo quants acting as CEO of their own algo book — without a full-time DevOps team.

Worker Trader →

Mentors & educators

Share strategies and portfolios with students with clearer IP boundaries — Mentor Hub aimed at MVP, with room to grow.

Mentor Hub →

Desktop migrators

Traders leaving MultiCharts, TradeStation, or NinjaTrader for cloud portfolios and less machine babysitting.

MultiCharts / TS → NinjaTrader →

Institutions

Cloud-native by default; local install and dedicated live infra when the desk requires it.

Institutions →

See the product — or just talk

Prefer a short demo and feedback first, or request early access when you’re ready.

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. AI helps draft logic and analyze where research and live diverge - you keep the rules.

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 (click to enlarge).
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 helps analyze where research and live diverge - and draft fixes; 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.

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. AI helps analyze research-to-live drift across the book - you keep the rules.

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
AI helps analyze where research and live diverge - 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. Research dying in production? See backtest vs live.

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. AI helps analyze research-to-live drift in the product - not only in a VPS log file.

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 helps analyze where research and live diverge - 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.

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.

Where algo traders get stuck

The strategy wasn’t wrong — the operating layer was

Daily loss & equity guards

Evaluations end on floating equity and day limits — not on “the signal was good.” Many EAs check risk too late or on the wrong clock.

One strategy, many terminals

Challenge A on MT5, challenge B on another login, research elsewhere. Re-wiring the same book for each venue is unpaid IT.

Backtest clean, evaluation messy

Research looked fine until fills, sessions, and account-level rules hit. Without research-to-live diagnostics, you guess what broke.

What we aim to provide

One workspace — multiple prop venues later

Roadmap intent (not a shipped multi-firm connector today): connect prop-firm account paths the same way you connect other execution venues — so portfolio ops, visibility, and diagnostics stay in one place while each firm keeps its own rules and platforms.

  • Faster ramp-up of a systematic book in the TBAI workspace — not a promise about evaluation speed or outcomes
  • Operate across venues when those integrations ship — same portfolio craft, additional account paths
  • You keep authorship — visible FalconScript / Python rules; AI assists drafting and diagnosis

Product surfaces (today)

Portfolio ops and diagnostics you can evaluate now

Use early access and the short demo to pressure-test the workspace. Prop-firm venue connectivity is a later increment — feedback from algo traders who also run evaluations helps us prioritize.

Live trading explorer for strategy portfolios
See what is running across the book — portfolio visibility, not one chart tab.
Drift analyser
When research and live diverge, diagnose in the product — AI helps analyze; you decide.
Broker and venue connectivity direction
Execution connectivity direction — prop-firm account paths as additional venues on the roadmap.
AI assistant with strategy editor
Auditable AI beside editable rules — draft and investigate, never unsupervised challenge autopilot.

Honest expectations

No pass rates. No affiliation. Roadmap venues.

We will not claim we help you pass any prop-firm evaluation, improve funded odds, or replace firm risk rules. TradingBoard.ai is an agentic cloud workspace for systematic portfolios: AI assists; nothing goes live without you. Prop-firm venue support is planned after MVP — tell us if that path matters to your book.

Related: strategy portfolios, backtest vs live, less VPS, worker trader.

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 - with AI help investigating the gap - 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 - AI helps analyze the gap; 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), and help analyze research-to-live drift; 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.

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 helps analyze results and where research and live diverge. 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
  • AI helps investigate research-to-live drift - diagnostics 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, explore, and help analyze research-to-live drift; the strategy text stays under your edit control.
AI assistant panel in TradingBoard.ai
Ask, draft, explain, investigate drift - assistance in the workflow, not a separate black-box bot.
Drift analyser comparing research and live behavior
Drift analysis with AI help - so “AI assisted” 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. Research dying in production? See backtest vs live.

Why the gap kills edge

Pretty research is not a live operating system

Fills and timing

Assumptions that worked in the analyzer don’t survive real liquidity, latency, and partial fills. Without attribution, you guess.

Silent data mismatch

Research data and live data often aren’t the same tape. Gaps show up as “strategy decay” when the real issue is context.

No shared workspace

Backtest in one tool, live in another, notes in chat. When results diverge, you can’t replay the causal path.

What we aim to give you

Research, live, and drift in one place

See what the system did in research, what happened live, and where they diverge - then inspect trades and selection instead of arguing with a screenshot. The AI agent helps analyze drift, surface likely causes, and explain patterns - you keep visible rules and approve what goes live.

  • Drift analysis as a first-class workflow - not a spreadsheet afterthought
  • AI assists in reading the gap - faster investigation, not unsupervised live trading
  • Trade-level inspection so “why did it take that fill?” is answerable
  • Same workspace for portfolio live visibility and research artifacts

Product proof

Diagnostics over faith

Built for systematic traders who already know backtest ≠ live. Early access is how we test whether these diagnostics match how you actually investigate.

Drift analyser comparing research and live behavior
Drift analyser - the #1 pain when research and live stop agreeing.
AI agent with strategy editor helping analyze results
AI agent alongside the workspace - help analyze drift and explain patterns; you stay the author of the rules.
Strategy editor trade selection
Inspect trades and selection - so you can see what the system actually did.
Live trading explorer
Live trading explorer - portfolio visibility when the book is running.
Live trading workspace on laptop
Monitor live from the browser - less “is the VPS still up?” and more “is the book behaving?”
FalconScript strategy editor
Visible rules in FalconScript - refine logic after you see where live diverged (click to enlarge).

Honest expectations

Diagnostics, not a guarantee your edge survives

We will not claim that every strategy will match its backtest, or that AI can paper over bad fills and bad data. TradingBoard.ai is an agentic cloud workspace: AI assists, it doesn’t fly on autopilot. Use early access to pressure-test whether research-to-live diagnostics and portfolio visibility beat your current process.

Portfolio-first workflows? See strategy portfolios. Tired of AI hype? See AI assists. Solo quant? See worker trader.

The solo-quant tax

You wear every hat - and plumbing wins too often

Time lost to ops

Restarts, data mapping, patching, and “is it still up?” steal hours from research and risk decisions.

One-person portfolio load

Running a book of systems without a DevOps team means weak shared visibility and fragile desktop workflows.

Research dies quietly

When live diverges from backtest, solo traders often lack a clean place to diagnose - so edge erodes before you can act.

What we aim to give you

One workspace. Your judgment. Less plumbing.

Design, test, and run strategies as the CEO of your own algorithmic operation - with portfolio visibility, research-to-live diagnostics, and AI that helps draft logic and analyze drift. You stay the author. Nothing goes live without you.

  • Cloud workspace so strategy work isn’t stuck on a rented Windows box
  • Portfolio-first view across systems - not one chart tab forever
  • AI helps analyze research-to-live drift - you keep visible rules

Product proof

Built for one serious operator

Built for individual quants who already think systematically. Early access is how we test whether this removes the plumbing tax without adding AI hype.

Live trading workspace on laptop
Run and monitor the book from the browser - less unpaid IT, more operator time.
Live trading explorer
See what is live across strategies - one person, one clear operating view.
Drift analyser
Catch research-to-live drift before you scale size alone.
AI agent with strategy editor
AI helps draft and analyze where research and live diverge - you keep the final rules.
FalconScript strategy editor
Readable FalconScript rules you own (click to enlarge).
Strategies explorer
Keep strategy libraries organized - less desktop folder archaeology.
Broker connectivity
Execution paths meant for live trading - not demo-only toys.

Honest expectations

A workspace - not a staffed desk

We will not claim AI replaces your risk judgment, or that cloud ops eliminate every failure mode. TradingBoard.ai is an agentic cloud workspace for systematic traders: AI assists, it doesn’t fly on autopilot. If you are a Worker Trader, use early access to pressure-test whether less plumbing and clearer diagnostics beat your current solo stack.

Portfolio-first? See strategy portfolios. Less VPS? See less VPS. Drift pain? See backtest vs live. Pretty curves lying? See overfitting.

Why overfitting wins so often

The failure modes serious traders already know

Test-set contamination

Tune until the holdout looks great and you’ve already spent the OOS budget. Live is the first honest sample.

One regime, one story

A curve fit to one volatility regime collapses when markets change. Robustness needs more than a single window.

Strategy-ok, book-broken

Each system can look fine alone. In a portfolio, correlation and sizing expose fragility the single-chart backtest never showed.

What we aim to give you

Validation discipline in the workspace

Walk-forward and out-of-sample framing, portfolio-level validation with our PWFA direction, and diagnostics when research and live diverge. AI helps analyze results and drift - you keep visible rules and decide what promotes to live.

  • Treat OOS / walk-forward as workflow - not a slide after the fact
  • Portfolio-aware validation (PWFA) - not only single-strategy curves
  • AI helps investigate fragile results and research-to-live gaps - not “guaranteed alpha”

Product proof

Evidence over equity-curve theater

Built for systematic traders who already distrust overfit curves. Early access is how we test whether our validation and diagnostics match how you already try to stay honest.

Drift analyser comparing research and live
Research-to-live drift - when a “robust” backtest meets production reality.
AI agent helping analyze strategy results
AI helps analyze results and where research and live diverge - you keep the rules and the promotion decision.
Trade selection in strategy editor
Inspect trades - so “why did this window look good?” is answerable.
Live trading explorer
Live portfolio visibility - promotion is not the end of validation.
FalconScript strategy editor
Visible strategy rules - refine after validation, not after a black-box curve (click to enlarge).
Strategies explorer
Organize candidates in one workspace - fewer “which version was the OOS one?” moments.

Honest expectations

No “un-overfit” button. No guaranteed edge.

We will not claim that walk-forward or PWFA make every strategy safe, or that AI can paper over data mining. Overfitting is a process risk you manage - TradingBoard.ai aims to make that process visible in one cloud workspace. AI assists; it doesn’t fly on autopilot. Use early access to pressure-test whether our validation and diagnostics beat your current honesty stack.

Live divergence? See backtest vs live. Portfolio book? See strategy portfolios. Anti-hype AI? See AI assists. Desk / on-prem? See institutions.

Desk realities

Why professional stacks push beyond “another SaaS chart”

Control boundaries

Research, IP, and compliance often cannot sit only in a public multi-tenant cloud. Desks need clear placement of data and process.

Portfolio operations

Many strategies, shared risk, and live visibility matter more than a single backtest curve on a laptop.

Auditable assistance

AI that drafts and helps analyze research-to-live drift is useful only if rules stay inspectable and humans keep promotion authority.

Deployment direction

Hybrid by design intent - not a checkbox claim

Default: cloud workspace for systematic portfolios. Where required: local TradingBoard.ai installation for research and desk control, with live strategies on your own dedicated servers. FalconScript and Python on our TBAI SDK, portfolio validation (PWFA direction), and diagnostics for research-to-live drift. We discuss architecture with partners - we do not pretend every compliance stack is already certified out of the box.

  • Cloud-native product path for speed and iteration
  • On-prem / hybrid options when your ops and compliance model requires it
  • AI assists analysis and drafting - desks keep authorship and live authority

Product proof

Architecture and operating surfaces

Built for professional traders evaluating whether an agentic portfolio workspace fits desk process. Contact us for deployment conversations; early access for product pressure-testing.

TradingBoard.ai high-level architecture schema
High-level architecture - how research, execution, and control fit together.
AI agent schema
AI agent schema - assistance in the workflow, not an unsupervised live black box.
Live trading explorer
Live portfolio visibility for operators who need the book, not one chart.
Drift analyser
Research-to-live drift - AI helps analyze; desks keep the decision.
AI agent with strategy editor
Auditable AI beside editable rules - draft and investigate, not fly unsupervised.
Broker connectivity
Execution connectivity meant for live trading workflows.
Datafeeds configuration
Datafeeds in the same workspace as research and live - fewer silent mismatches.

Honest expectations

Not a finished vendor RFP pack

We will not claim every institution can install tomorrow with zero integration work, or that AI replaces desk risk ownership. TradingBoard.ai is building an agentic portfolio workspace with cloud, on-prem, and hybrid directions under active design partnership. If that matches your desk, contact us - or use the short demo to pressure-test the product stance.

Solo operators? See worker trader. Portfolio-first? See strategy portfolios. End-to-end path? See from idea to live.

Why the path breaks today

Idea, research, and live live in different worlds

Notes → code → hope

Ideas die in chat and folders. Getting to editable rules takes days of plumbing instead of hours of craft.

Validate somewhere else

Backtest in one tool, optimize in another, live on a VPS. Promotion becomes ritual, not a continuous loop.

Live without diagnosis

When results diverge, you lack one place to inspect trades, drift, and rules - so the next idea starts on a broken foundation.

The loop we aim for

Four steps. Same workspace. You in control.

  1. Idea - describe intent; AI drafts FalconScript or Python (TBAI SDK) you can read and edit
  2. Validate - research with honesty discipline (OOS / walk-forward framing, portfolio context)
  3. Live - run and monitor strategy portfolios from the browser
  4. Diagnose - AI helps analyze research-to-live drift; you decide what changes

Product proof

See the path, not just the pitch

Built as the default story for traders evaluating TradingBoard.ai end-to-end. Early access and the short demo are how we test whether this loop matches how you work.

AI agent with strategy editor
1) Idea → rules - AI drafts and explains; you keep authorship.
FalconScript strategy editor
Inspectable FalconScript (or Python on TBAI SDK) - click to enlarge.
Trade selection in strategy editor
2) Validate - inspect what the system actually did in research.
Live trading explorer
3) Live - portfolio visibility when the book is running.
Drift analyser
4) Diagnose - research-to-live drift; AI helps analyze the gap.
Live trading workspace on laptop
Operate from the browser - less stack-hopping between idea and live.

Honest expectations

A continuous loop - not a one-click fortune

We will not claim every idea becomes a profitable live system, or that AI removes validation work. TradingBoard.ai is an agentic cloud workspace: AI assists at draft and diagnosis; you keep visible rules and live authority. Use the short demo to see whether this end-to-end path beats your current tool chain.

Deeper on drift: backtest vs live. Anti-hype AI: AI assists. Overfitting: overfitting. Portfolios: strategy portfolios.