Python & Quant
Python engineering for research, backtesting and live trading.
Quant development · Automated trading systems
fxigor is a group of quants and engineers working with Igor M. We develop automated forex systems, backtesting and research infrastructure, execution layers and full trading platforms — then deploy and operate them.
Python engineering for research, backtesting and live trading.
We turn trading ideas into specified, tested, automated systems.
Finding out whether a strategy actually works, before capital is at risk.
Full platforms for research, execution, monitoring and reporting.
Systematic research into FX factors, anomalies and relationships.
Expert advisors, indicators and MetaTrader integrations.
Servers, deployment, monitoring and recovery for live systems.
Order management, broker APIs and the controls around them.
Plenty of developers will write you an expert advisor. Fewer will tell you that the strategy behind it does not survive out-of-sample testing, and fewer still can deploy the result on a Linux server, monitor it, and reconcile its positions against the broker every morning.
We do the whole path: research, honest validation, engineering, deployment and the operational layer around it. That includes telling you when a project is not worth doing — which is a cheaper conversation to have at the start.
We do not sell signals, manage client money, or promise returns. We build and test systems, and you own what we build.
We turn trading ideas into specified, tested, automated systems.
Python engineering for research, backtesting and live trading.
Finding out whether a strategy actually works, before capital is at risk.
Systematic research into FX factors, anomalies and relationships.
Macro and fundamental data turned into systematic FX models.
Pipelines, databases and quality controls for trading data.
Machine learning applied to markets as engineering, not prophecy.
Full platforms for research, execution, monitoring and reporting.
Order management, broker APIs and the controls around them.
Allocation, sizing and risk control across multiple strategies.
Servers, deployment, monitoring and recovery for live systems.
Expert advisors, indicators and MetaTrader integrations.
Measuring what a strategy is actually doing once it is live.
Independent review of strategies, systems and architecture.
Selected work, anonymised, with the method and the outcome.
Reference material on testing, validation and building trading systems.
Describe the problem and we will tell you plainly whether we can help, roughly what it would take, and what it would cost. If it is not a fit, we will say so.
Discuss Your Trading Project