Do you integrate with existing trading platforms?

Yes. In practice we integrate at the boundary — market data feeds, liquidity or execution providers, PSPs, KYC vendors and CRM — rather than replacing the parts that already work.

How do you handle regulatory requirements?

We implement the technical controls your compliance function specifies: access control, audit logging, data retention, reporting exports, KYC document handling and encryption. We are engineers, not your compliance advisor, and we are explicit about that boundary.

Can you add a new brand to an existing platform?

That is a common request and one of the reasons we model brand as data rather than as deployment. If the existing model supports it, a new brand is configuration and a theme.

Trading & fintech

Trading & Fintech Systems

Client-facing trading surfaces and the back office behind them: market-order controls, realised P&L, ledgers, KYC and onboarding, IB structures and copy-trading. Built for regulated operations where an unreconciled figure is a compliance problem, not a bug report.

Discuss this service How we work

Discipline: Trading & fintech
Systems delivered: 0 platforms
Pillars: 3 core areas
Stack: 0 technologies

Discipline Scope

3 Architecture Pillars

Active Pods

Core Pillars

Correctness over convenience
Trust in the interface
Multi-brand without multi-plumbing

Discuss Trading & fintech requirements

Architecture Pillars

Order flow, ledgers and P&L where the numbers have to reconcile

Correctness over convenience

Money-moving code is held to a different standard. We design for audit, not just for the happy path.

Ledger and position modelling that supports reconciliation
Double-entry patterns on financial state changes
Audit trails on every privileged action
Deterministic recalculation for dispute resolution

Trust in the interface

A trader who doubts the displayed P&L stops trading. Numbers shown to clients must reconcile exactly to the source of truth.

Displayed figures reconciled against the ledger
Order states and partial fills surfaced unambiguously
Latency and staleness made visible, not hidden
Clear failure states when an order is rejected

Multi-brand without multi-plumbing

Brokerages grow by launching brands. Each new brand should be configuration, not a new back office.

Brand as a first-class dimension in the data model
Shared order mechanics with per-brand presentation
RBAC across desk, back office, compliance and partners
Real-time desk updates over persistent connections

Deliverables

What you receive.

Concrete artefacts handed over with the repository.

Domain model for clients, accounts, instruments, orders and ledgers
Client-facing trading application
Operations and back-office admin portal
Onboarding, document capture and KYC review workflow
Payments, deposits, withdrawals and adjustment handling
IB and affiliate hierarchy with commission tracking
Copy-trading configuration and limits
REST API with generated documentation
Reporting, statements and regulatory exports

Process

How a trading & fintech engagement runs.

01
Phase 01: Reconciliation first
Before building anything, we establish where the numbers come from and what must agree with what. This defines the model.
02
Phase 02: Model the ledger
Accounts, positions and transaction history are modelled so any displayed figure can be traced and rebuilt.
03
Phase 03: Build the desk
Operations tooling is built alongside the client surface, because the desk is who will discover the edge cases.
04
Phase 04: Harden
Permission review, rate limiting, 2FA, input validation and audit logging before launch — not as a follow-up ticket.

Questions

Asked before the brief arrives.

Works well with

Usually bought alongside.

SaaS & Product Engineering

Multi-tenant products, from first schema to first invoice

ERP & Business Systems

Replace the spreadsheet everyone is afraid to touch

Performance & Technical SEO

Speed, crawlability and the numbers that follow

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