Trading & market-data engineering · Valencia

We build the systems
markets run on.

We design, build, and support the real-time systems brokers and trading platforms depend on — market data, monitoring, portals and back office — deployed in your infrastructure, under your control.

A decade in capital marketsFounder-led, senior team
In production today
Instruments monitored
15,000+
Events handled at peak
~300k/s
Client’s support costs
−50%
One monitoring system, one client · more results below
What we build

The systems between the market and your clients.

We build for brokers, liquidity providers, and trading platforms — where a stale quote or a late report costs real money. Four things we do.

Market data & trading connectivity

We build and maintain the connectivity layer — MT4/MT5 and cTrader, FIX sessions to your liquidity providers, market data from Bloomberg, Refinitiv, and TrueData — and keep prices flowing to every client terminal. Our monitoring catches a dying feed before your support line does.

Real-time systems

Markets spike; your systems shouldn’t blink. Our pricing and quote-distribution layers handle hundreds of thousands of ticks a second and stay predictable at peak — batching the flow rather than dropping it.

Your back office, already half-built

Most of what a client portal, back office, or reporting stack needs, we have built before — on our own open-source platform, so there’s no license and no lock-in. Your budget goes to the parts specific to your business.

AI-agent delivery

Assistants that answer from your documentation; automation that takes routine work off your team. It’s also how we build: AI agents working in parallel, every line reviewed by a senior engineer before it ships.

Selected results

From the dealing desk to the flash sale.

On the trading floor
Support costs
−50%
Market-data anomaly detection

A monitoring system watching 15,000+ instruments for a forex-liquidity platform, alerting the dealing desk before clients notice. Paid for itself within three months.

Data sources, one gateway
5+
Market-data aggregation & distribution

One platform aggregates quotes from cTrader, FIX liquidity providers, Bloomberg, Refinitiv, and TrueData — and redistributes them to trading clients over FIX and to dashboards over WebSockets. New client environments deploy from the admin panel.

Faster investor reporting
ERP for trading infrastructure

Self-hosted ERP systems that put a trading business's infrastructure, operations, and reporting in one place — with investor updates going out four times faster.

The same discipline, beyond the desk
Buyers per on-sale
1000s
Flash sales without the crash

When a big sale opens, thousands press Buy in the same minute — enough to take a shop offline. Our virtual waiting room holds a fair, live-updating line and admits a safe number into checkout, so selling never stops. Load-tested to thousands of concurrent buyers with zero errors.

Employee retention
>90%
Equalize Team — our own HR product

Our HR-tech SaaS, run with the same engineering discipline as client systems. Retention above 90% is the number it exists to move.

Open source

Your systems stay private. Our tools are public.

Client systems are deployed in your infrastructure and stay yours. The tools we build for ourselves are open source — same team, same standards — so you can inspect the work before you ever talk to us.

See the code on GitHub

The free, zero-dependency, TypeScript-first FIX analyzer that runs in the browser — paste a raw message, get named typed fields, repeating groups as nested objects, and every problem returned as data, never an exception.

TypeScriptApache-2.0
$npm i @boarteam/fix @boarteam/fix-dict-fix44
On the way
Planned
Market-data connector
Multi-source quote ingest — reconnection, normalization, fan-out.
Planned
Spread comparison
Cross-venue spread and quote-quality analysis.
Planned
Agentic layer
An MCP server over the data, plus an eval and golden-dataset suite.
Free tool
A browser FIX decoder and a full reference for every tag in FIX 4.4, 4.2 and 5.0 SP2 — paste a message, see it decoded. No signup, nothing uploaded.

Our platform is open source too — @boarteam/boar-pack.

analyze.tsts
1import { createFixEngine } from "@boarteam/fix";
2import { dictionary } from "@boarteam/fix-dict-fix44";
3
4const fix = createFixEngine(dictionary);
5
6// paste a raw line from a log — no server, no deps
7const raw = "8=FIX.4.4|35=W|55=EUR/USD|268=1|269=0|270=1.0921|271=1000000";
8const { message, issues } = fix.parse(raw, { soh: "|" });
9
10message.name; // "MarketDataSnapshotFullRefresh"
11message.fields[55].value; // "EUR/USD"
12issues; // [] — problems are data, never exceptions
About

Founder-led, and it shows.

I’m Andrey Balakirev — founder and principal engineer of Boar Team, a boutique studio in Valencia, Spain. We stay deliberately small: a few engagements at a time, always close to the code.

I’ve spent 18 years building for the web, a decade of it inside forex and capital markets — FIX connectivity, Bloomberg and MetaTrader integrations, real-time quote distribution.

I author the framework our client work ships on, and I’ve rebuilt our delivery around AI agents working under senior review. When you work with Boar Team, you talk to the people who write the code.

Andrey Balakirev
Andrey Balakirev
Founder & principal engineer
jifeon

Have a hard systems problem?

Tell us what you’re building — we reply with a real engineer, not a sales deck.

[email protected]github.com/boarteam