Backtesting Infrastructure
Frameworks for historical simulation, strategy parameters, transaction-cost assumptions, execution rules, result storage, and repeatable experiment workflows.
Start a project ↗Trading Technology
Trading systems engineered from research to controlled execution.
OPEQ develops technology for systematic-trading research, historical testing, market-data processing, broker and exchange connectivity, automated execution, monitoring, and risk controls. The engineering objective is to make trading logic testable, observable, and operationally controlled—not to promise a particular market outcome.
01 / Research & testing
Turn strategy ideas into reproducible research systems.
Before live automation, the strategy logic, data assumptions, cost model, evaluation method, and test environment should be explicit enough to reproduce and challenge.
Market-data Engineering
Pipelines for collecting, validating, normalising, storing, and accessing historical or live market data at the resolution required by the strategy.
Research Tooling
Custom analytics, notebooks, dashboards, experiment runners, parameter studies, and evidence workflows that help teams evaluate strategy behavior.
Validation Design
Testing approaches that separate development and evaluation data, document assumptions, inspect regime dependence, and reduce avoidable look-ahead or data-leakage errors.
02 / Execution
Live automation needs operational controls around the strategy.
A production trading system is more than a signal. It must handle connectivity, order state, retries, duplicate protection, market conditions, risk limits, observability, and explicit failure behavior.
Algorithmic Execution
Execution services that translate approved strategy decisions into order instructions while respecting the defined order, position, session, and risk rules.
Broker & Venue Integration
Connectivity to supported broker, exchange, or execution APIs with authentication, state management, response validation, and recovery behavior appropriate to the interface.
Risk Controls
Pre-trade and runtime controls for position limits, exposure, loss thresholds, trading windows, kill conditions, invalid states, and other strategy-specific constraints.
Monitoring
Operational views and alerts for data feeds, strategy state, orders, positions, connectivity, errors, risk events, and other signals required to supervise the system.
03 / System design
Separate research, decision logic, execution, and supervision.
Trading systems are easier to test and operate when major responsibilities are explicit. Research code, live decision logic, data services, execution, risk, and monitoring should not become one opaque process without clear boundaries.
Strategy layer
Encapsulate the rules, models, parameters, and state required to produce decisions while keeping data assumptions and interfaces explicit.
Data layer
Provide validated historical and live inputs with clear timestamps, symbol mapping, market-session treatment, and missing-data behavior.
Execution & state
Maintain order, fill, position, and account state with idempotent actions and reconciliation behavior where the connected provider permits it.
Supervision layer
Expose health, risk, decisions, errors, and important operational events so authorised users can understand and intervene when necessary.
OPEQ develops trading technology and software infrastructure. Backtests, simulations, models, and automated systems do not guarantee future profitability. OPEQ does not present software-development services as investment advice or a promise of trading performance.
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Planning a trading technology project?
Share the strategy scope, market-data requirements, broker or venue, research workflow, execution needs, and risk constraints. OPEQ can help translate those requirements into a clear engineering plan.
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