Build
A systematic trading model for AIM oil and gas
A quantitative trading model built for AIM-listed oil and gas equities, covering data pipeline, signal generation and reporting.
Relationship: Launcha is a company within our wider group. We built the platform; this is not an arm’s-length client engagement.
Context
Launcha runs private, systematic investment strategies across several markets. We built one of them: the model covering AIM-listed oil and gas equities.
Systematic trading is unusually demanding software. It is quantitative, data-sensitive, and wrong answers cost money immediately.
The problem
Systematic strategies need reliable data pipelines, reproducible models, controlled execution and reporting that stands up to scrutiny.
None of that tolerates the kind of software that mostly works.
What we built
The AIM oil and gas model specifically: data ingestion, signal generation, backtesting and reporting for that sector.
Engineered for correctness and reproducibility first, so a run can be reproduced exactly and audited afterwards.
We did not build Launcha’s other market models. This engagement covered the oil and gas strategy only.
Outcome
Delivered as a software build. Performance and commercial figures are private and are not published here.
Technical and security
Quantitative data pipelines for AIM oil and gas equities, with reproducible model runs.
UK-based engineering.
Building something similar?
Tell us what you are trying to achieve and we will tell you which engagement model actually fits.