From Python Research to MT5 Execution: A Composite Case Study
Problem → decision → evidence
We use a composite case to explain how research output becomes a timestamped, checkable message that MT5 can accept, reject or ignore.
Read research →POLARIS Research
Anonymized lessons from completed Expert Advisor, indicator, integration, conversion and repair work.
← Explore by topicMQL development • Specifications • Delivery
Problem → decision → evidence
We use a composite case to explain how research output becomes a timestamped, checkable message that MT5 can accept, reject or ignore.
Read research →Problem → decision → evidence
In this composite migration case, we explain how we separated platform adaptation from deliberate changes to the original strategy.
Read research →Problem → decision → evidence
We explain, through a composite case, how we turned the meaning behind scanner rows and colours into events an EA could evaluate.
Read research →Problem → decision → evidence
Our conversion work taught us to preserve the decisions a strategy makes, while adapting its order handling, indicators and risk calculations to MT5.
Read research →Problem → decision → evidence
In this composite case, we explain how recurring requests for basket protection led us to separate position measurement, risk decisions and confirmed actions.
Read research →Problem → decision → evidence
We use a composite case to explain how we worked from annotated charts toward consistent structure, zone and entry decisions.
Read research →Problem → decision → evidence
We bring recurring project requirements into one composite example, showing how we organise context, confirmation, entry timing and risk.
Read research →Problem → decision → evidence
We look back at 170 completed projects and explain how questions about signals, timing and shared risk shaped the way we build trading systems.
Read research →Problem → decision → evidence
We explain what our development experience covers, what each kind of work produces and which questions we need to settle before starting a new project.
Read research →