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Practical technology insights
How a Trading Signal Travels from Data to Order
A trading signal passes through several technical stages before an automated order is placed. This guide follows one signal from market data validation and indicator calculation through strategy rules, risk checks, execution and logging.
Event-Driven vs Time-Driven Trading Systems
Event-driven and time-driven trading systems process strategy rules in different ways. This guide explains how each architecture works, their practical differences, suitable strategy types, limitations and important design considerations.
Why Trading Strategy Requirements Must Be Unambiguous
Clear trading strategy requirements are essential when converting a manual strategy into software. This guide explains why vague terms such as strong, near and quickly can cause different interpretations, and how to replace them with measurable conditions.
Algorithmic Trading Software: A Practical Beginner's Guide
Algorithmic trading software uses predefined rules to analyse market conditions, generate signals and automate trade execution. This practical beginner's guide explains its main components, workflow, realistic benefits, limitations and common misconceptions.
How to Convert Manual Trading Rules into an Algorithm
Learn how to convert discretionary trading decisions into clear, measurable rules that a developer can implement. This guide explains how to define entries, exits, timing, position sizing, risk management and exceptions before building an automated trading system.