Exchange-grade systems
Trading platform development
Matching, order management and execution, broker integrations, reconciliation and algo infrastructure — real-time financial systems built to the tolerances a desk actually works to.
Typically built with
- Python
- Ruby on Rails
- Kafka
- Redis
- PostgreSQL
- Broker / Exchange APIs
Scope
What this covers.
Matching & execution engines
Order matching, trade execution, and order management built for correctness and speed.
OMS / RMS & risk
Order and risk management — routing, position tracking, limits, and real-time risk checks, with dealer panels and dashboards.
Broker & exchange APIs
Multi-broker and exchange integrations for order placement, market data, and execution.
Reconciliation & settlement
Automated reconciliation engines that match trades, funds, and statements and surface breaks fast.
Algo-trading infrastructure
Strategy execution, backtesting hooks, and real-time signal processing for automated trading.
Correct under load
A book is simple to draw and unforgiving to build.
Two sides, a spread, and a rule for who gets filled first. All of the difficulty is in the guarantees around it: deterministic ordering, no double fills, and a state that can be rebuilt from the event log after any failure.
order book · sample
- 104.9042.0
- 104.7031.0
- 104.5018.0
- 104.3012.0
- 104.106.0
- 103.909.0
- 103.7015.0
- 103.5024.0
- 103.3033.0
- 103.1047.0
Illustrative · not market data
Throughput
Load is not steady and the system has to be correct at the peak, not on average. The guarantees are written for the worst minute of the day.
Matching, order management, market data — and the audit trail under all of it.
The work
We build this for clients, and run our own.
One of these we own and run; the other four are named client engagements in exactly this domain — a centralised exchange, two DEXs and a DeFi protocol. Each has a full write-up.
Our execution platform
TraderOps
Our own product. Backtest a strategy, paper-trade it, then run it live on the same engine — across eight Indian brokers.
Centralised exchange
WazirX
A centralised crypto exchange out of India — the wallet, KYC and trading infrastructure behind it.
Decentralised exchange
tanX
A DEX with trading and settlement designed to run on-chain rather than through a central order book.
DeFi exchange
ShibaSwap
The DEX in the Shiba Inu ecosystem — swaps, staking, and the contracts underneath them.
DeFi protocol
Bru Finance
A lending protocol built on real-world-asset collateral, and the on-chain machinery to price and settle it.
How the work runs
The order things happen in.
Trading and financial systems fail expensively, so we engineer for correctness, auditability, and low-latency reliability first — with the operational tooling desks and back-offices actually need to run.
Model the financial domain precisely: instruments, orders, positions, ledgers
Design the execution path for correctness first, then latency
Build idempotent, event-driven pipelines with Kafka / Redis for throughput
Instrument everything — positions, fills, risk, and reconciliation visible in real time
How it gets built
Correct first, then fast.
Ordering, idempotency and replay get settled before anything is optimised, because a fast system that double-fills is worthless.
Before you ask
Questions we get.
Can you build a matching engine?
Yes. Our founder was lead product engineer at Multipli.fi, on the matching engine, trade executor and OMS, and we build these as production systems rather than prototypes — matching is where correctness under load is the whole job, and it is tested accordingly.
Do you handle reconciliation and compliance?
Yes — reconciliation engines, audit trails, and the compliance tooling around them, so trades, funds and statements stay reconciled and a break surfaces immediately instead of at month-end.
Can you integrate with our broker or exchange?
Yes — we build multi-broker and exchange integrations for order placement, market data, and execution, with retries and reconciliation so positions stay accurate.
Centralized exchange or DEX?
Both. We have worked on centralized exchange systems and on decentralized exchange and Web3 trading, and the parts that are hardest — matching, risk, settlement — are the same problem wearing different clothes.
How do you handle latency and reliability?
Event-driven pipelines on Kafka/Redis, idempotent processing, and real-time monitoring so the system stays correct under load and failures surface instantly.
Is this overkill if I just need a trading bot?
Probably. A single strategy running against one broker’s API is a smaller job, and off-the-shelf tools may cover it. This is for the systems underneath a desk or a venue — matching, order and risk management, reconciliation — where being wrong once is expensive and the load is real.
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