Overview
Algorithmic trading is unforgiving. A system that hesitates, drops a connection, mishandles an order, or miscalculates a position in a live market does not get a second chance. Whether you are executing onchain through a DEX, trading via a centralised exchange API, or running Expert Advisors on MetaTrader 4 or 5 — the architecture underneath your strategy determines whether it performs in production or fails silently while the market moves without you.
We build algorithmic trading systems from the ground up. Not wrappers around off-the-shelf bots, not templates with your parameters filled in — purpose-built systems designed around your specific strategy, your execution requirements, and the infrastructure you trade on.
The Trading Environments We Build For
Onchain Trading
Executing directly on decentralised protocols introduces a set of technical constraints that do not exist in traditional markets. Transaction finality, gas price competition, mempool dynamics, sandwich attack exposure, and slippage on illiquid pairs all need to be handled at the system level — not managed manually after the fact.
- Direct DEX interaction (Uniswap, Curve, and others) via smart contract calls
- Gas price optimisation and dynamic fee strategies to ensure transaction inclusion
- Mempool monitoring for front-running detection and avoidance
- Multi-hop routing across liquidity pools for optimal execution
- Position management across DeFi protocols including lending, liquidity provision, and yield strategies
- Event-driven execution triggered by on-chain state changes
Centralised Exchange (CEX) API Trading
The major centralised exchanges — Binance, Bybit, Kraken, Coinbase, Interactive Brokers — all expose REST and WebSocket APIs that allow programmatic order execution, position management, and market data consumption. Building a reliable system on top of these APIs requires handling reconnection logic, rate limiting, order state reconciliation, and latency management correctly.
We build CEX trading systems primarily in Rust and C#, depending on the latency requirements and existing infrastructure. Our CEX systems handle:
- REST and WebSocket API integration with all major exchanges
- Real-time order book and trade feed consumption
- Order lifecycle management — entry, scaling, stop loss, take profit, partial fills
- Position and exposure tracking across multiple instruments simultaneously
- Risk management controls including maximum drawdown limits, position size caps, and circuit breakers
- Reconnection and failover logic for 24/7 uninterrupted operation
- Paper trading and live trading mode switching for safe strategy validation
MetaTrader 4 and MetaTrader 5 (MQL4 / MQL5)
MetaTrader remains the dominant platform for retail and professional forex and CFD trading. Expert Advisors written in MQL4 or MQL5 run directly within the terminal, with access to broker price feeds, order execution, and a full suite of technical indicators. Building a performant, robust EA requires deep knowledge of the MQL execution model, the quirks of broker-specific behaviour, and the differences between strategy tester performance and live execution.
We write Expert Advisors in both MQL4 and MQL5, covering:
- Full strategy implementation from signal generation through to order execution
- Custom indicator development for strategies requiring non-standard technical analysis
- Multi-timeframe and multi-symbol logic within a single EA
- Risk management modules — lot sizing, drawdown protection, daily loss limits
- Trailing stops, partial close logic, and dynamic take profit mechanisms
- Broker-agnostic design to ensure consistent behaviour across different execution environments
- Strategy tester optimisation and forward testing validation
- Migration of existing MQL4 EAs to MQL5 with full logic preservation
Architecture Principles We Apply
Regardless of the trading environment, we apply consistent engineering principles across every system we build:
Latency awareness. Every component in the execution path is evaluated for latency contribution. Where microseconds matter, we eliminate unnecessary abstraction layers, use binary protocols over text where available, and co-locate or minimise network hops.
State consistency. A trading system that loses track of its own positions is dangerous. We build robust state management with reconciliation against the exchange or broker's authoritative record, ensuring the system always knows exactly what it holds.
Graceful degradation. Connections drop. APIs return unexpected errors. Market data gaps occur. Our systems handle failure modes explicitly — with defined fallback behaviour, alerting, and safe shutdown procedures — rather than crashing or continuing blindly.
Separation of strategy and execution. Strategy logic and execution infrastructure are kept strictly separate. This allows strategies to be tested, swapped, and iterated without touching the execution layer, and allows the execution layer to be hardened independently.
Comprehensive logging. Every order, every signal, every execution decision is logged with full context and timestamp. Post-trade analysis, debugging, and regulatory compliance all depend on this, and we build it in from the start rather than retrofitting it later.
Technologies Used
- Rust — onchain execution engines, CEX WebSocket systems, latency-critical components
- C# — CEX API integrations, MetaTrader bridge systems, desktop trading tools
- MQL4 / MQL5 — Expert Advisors, custom indicators, scripts and libraries for MetaTrader
- Solidity — onchain strategy contracts, execution logic at the contract layer
- WebSocket / REST — real-time and request-based exchange connectivity
- SQL — trade logging, position history, performance analytics storage
- Binance, Bybit, Kraken, Coinbase, Interactive Brokers APIs — direct integration experience
- Uniswap, Curve, and other DEX protocols — onchain execution and liquidity interaction
What We Do Not Build
We are engineers, not strategy sellers. We do not provide trading signals, copy trading subscriptions, or guarantee performance outcomes. We build the technical infrastructure that executes your strategy reliably. The edge comes from you — we make sure the system does not get in its way.
Who We Work With
Our algorithmic trading clients include independent quantitative traders scaling from manual to automated execution, proprietary trading firms needing custom infrastructure beyond what off-the-shelf platforms provide, crypto projects requiring onchain execution tooling, and financial technology companies building trading features into their platforms.
If you have a strategy that works and need the engineering to run it at scale — or if you are designing a system architecture and need a technical partner who understands both the trading domain and the software engineering required — we want to hear from you.
Ready to Build?
Every trading system we deliver is purpose-built, thoroughly tested, and designed to run continuously without supervision. We start every engagement with a technical scoping session to understand your strategy, your infrastructure, and your performance requirements before writing a single line of code.