Quant × AI · on your MT5

What if your EA
could think like a quant
and trade like a desk?

Hedge funds win with quant models and AI ensembles. Retail traders get signals. We close that gap. Stop trading alone. Trade with AI Agents. No copy-trade. No black box. Just the quant desk you could never afford, running on your Metatraders 5.

10 yrs building AI EAs
5 agents per trade
0 black boxes
Expert Advisors

EAs that trade for you — with a quant team inside.

An Expert Advisor (EA) is a bot that runs on MT5 and places trades for you, 24/5, without sleep or emotion. Ours go further: instead of one fixed rulebook, each EA carries a small team of AI specialists that read the chart, debate the setup, and only fire when they agree. You install the file, point it at your account, and the desk goes to work.

AI Agents Supervisor

Q3 ’26
by eatrading.ai · Closed beta

Portfolio risk guardian. Sits above your other EAs and can pause, scale, or veto trades when correlation, drawdown or news risk spikes.

Risk layerMulti-EAOptional
Installs
v0.4Beta
12d agoUpdated
5320+MT5 build
Preview page

Quant AI Strategy

FREE
by eatrading.ai · Live

Single-agent entry-level EA. One asset, one model, one decision per bar. The lightest way to try the AI workflow on a demo or small live account.

Single-agentLifetimeDemo-ready
3,140Installs
v2.3Version
9d agoUpdated
5320+MT5 build
Get free license
AI engine · live

Inside the room where AI trades.

A decade ago this room was a pit full of shouting traders. Today it’s an ensemble of models calling out what they see, an orchestrator voting on the next move, a risk gate having the last word. The job didn’t disappear — it got faster, quieter, and more disciplined. The same control room runs behind every product in the lineup, one tick at a time, in the open.

Live mockup.
Stream and decision flow are an illustrative simulation of the engine’s output for this design pass. The production console exposes the same fields with real telemetry.
Inside the model

AI reads the chart the way a senior trader would — faster, and without the bad days.

The old way: stare at the screen, wait for the setup, hope you don’t fat-finger the stop after a long session. The AI way: scan price action on XAU/USD H4, mark the levels that matter, wait for the breakout to confirm, then size the position against ATR and a hard risk gate. Entry, stop, target, reasoning — every step visible on the chart. The edge isn’t speed alone, it’s discipline on tap.

What you’re looking at.
Representative XAU/USD H4 trade visualization. Candles, levels, and decisions are illustrative — the engine and logic are real, the chart frame is for design.
Compatible: Anthropic · OpenAI · DeepSeek · Google · xAI · any OpenAI-compatible endpoint
A founder’s journey

One trader. A decade chasing the same question. What if the machine could think with me?

I’m Ho Tuan Thang — a solo quant who spent ten years in a small room in Chicago, building EAs no one asked for, blowing up demo accounts so live ones wouldn’t, and waiting for the technology to catch up to the idea. When large language models finally landed, the door opened. This is the short version of how we got here, and why I’m now spending most of my days helping other traders walk through it.

Portrait of Ho Tuan Thang, founder of eatrading.ai
Ho Tuan Thang Founder · AI Dev

“I never wanted to sell signals. I wanted to build a co-pilot — something a serious trader could actually trust at 2 a.m. when the chart goes sideways. That’s the only thing I work on now.”

— Ho Tuan Thang · Founder, eatrading.ai
2014 · The start

Manual trader, blown account, rebuilt.

Started trading stocks and forex out of curiosity. Got humbled fast. Spent two years studying price action, risk management and the work of people like Van Tharp and Andreas Clenow — convinced the edge had to be systematic, not discretionary.

2017–2020 · First EAs

Solo dev, late nights, MetaTrader 5.

Learned MQL5 the hard way. Shipped a handful of rule-based EAs for friends, then a small client base. Every system traded my own money first. Lesson burned in: backtests lie, slippage is real, and an EA that needs a perfect market dies in a normal week.

2022–2024 · The AI turn

LLMs landed. The whole stack rewrote itself.

When GPT-4 and Claude opened up reasoning at machine speed, I rebuilt the engine from scratch. Started wiring multi-model ensembles into MT5 — real models, real keys, real accounts. Six iterations later, the Quant AI Agents framework was born.

2025–now · Helping the room

A small bench, a global crowd, one mission.

Today I split my week between shipping product and walking traders — in Vietnam, the Philippines, India, the EU and the US — through the messy migration from indicator EAs to AI-native systems. The goal is unchanged: arm the independent trader with the same firepower a hedge-fund desk takes for granted.

0+
Years in markets
0
EAs shipped to live accounts
$0M
Capital under management
0k+
Traders in the room
How the engine performs

The numbers behind every trade we ship.

Five LLM heads, millions of tokens, milliseconds of latency. Below is a snapshot of the AI machinery that argues out every order — engine telemetry, never marketing.

Ensemble
5/ 5 heads
LLM models in vote
Streaming
1.2M tokens / hr
Reasoned across cohort
Live
38.4k / day
Decisions emitted
Consensus
0.86avg
Ensemble confidence
Healthy
184ms p95
Inference latency
Closed-beta voices

What the beta cohort told us.

Quotes below are placeholder copy for the mockup. The live page will only use verified, opt-in quotes from traders running the AI Agents on live MT5 accounts — first name plus a masked role only, to keep prop-firm rules happy.

The debate transcript alone is worth it. I don't just see BUY — I see why three agents agreed and which one pushed back. Changed how I tune my own setups.
Marko K.
Prop trader · FTMO
I run 6 EAs across 3 brokers. Used to baby-sit them. AI Supervisor pauses two of them during NFP automatically — saved my account in March.
Diana J.
Retail · 4 yrs MT5
Free Quant AI Strategy was my entry. Ran it 3 months on demo, then bought the full Agents pack. The free version isn't crippled — it's just one agent.
Ryo S.
XAUUSD scalper
Prompt Library is gold. I tweak 2-3 lines, paste into the Lab, and the EA picks up a new behaviour overnight. It feels like having a quant team on tap.
Alex L.
Algo dev · MT5 builder
Most "AI EAs" are just MACD with a logo. This one actually changes its mind. I watched it skip a setup because CPI was 90 minutes away.
Sara P.
Indices swing
BYOK was the dealbreaker. I bring my own Anthropic key, see exactly what's spent, and nothing is locked behind a token meter the vendor controls.
Tomás N.
FX / XAU · 2 yrs MT5
Priority lane · partner brokers

Trade alongside the founder.

Open through any partner link below — same execution we run on live capital, plus a private lane reserved for traders in our community.

Beta seats for new EAs Direct line to the founder Tuned for AI workloads Priority 24/7 support
Built for EA workloads

IC Markets

Raw spreads, deep liquidity, execution tuned for heavy EA traffic.

Open account
Razor-thin commissions

Tickmill

Very fast fills on raw accounts — a strong second broker for spreading risk.

Open account
High leverage · EU

IC Trading

Higher leverage for EU traders who want capital efficiency on the IC backbone.

Open account

Affiliate / IB links — same broker conditions you'd get on your own, plus the community perks. None of your money goes to us.

Stay close

Three direct lines — walk into the AI era with the team.

Live trade updates on the channel, a 24/7 AI bot for product questions, and a direct line to me when you want a human. The market is moving fast; you shouldn’t have to wait days for an answer. Pick the channel that fits the moment.