Ideas for the
next era of trading.
Exploring how intelligence, infrastructure and human judgement shape the next generation of trading.
01Agentic systems
The ideas and architecture behind an agentic trading desk.

What makes trading agentic?
An agent can investigate a trading question without permission to trade. Evaluate its workflow and authority separately.

AI agents & algorithms
AI, algorithms and agents describe different parts of a trading system. A useful comparison identifies the decision rule and who can act on it.

The agentic markets thesis
AI use is widespread in surveyed financial firms. That does not establish how much capital autonomous agents control.

The intelligence graph
A graph can connect research, instruments and decisions. Its value depends on retrieving the right source as it was known at the relevant time.
02Research & execution
From a research question to an inspectable trading process.

Python strategies on MT5
A notebook result and a broker position are different artifacts. Define and test the contract between them.

Walk-forward testing
Chronological windows are useful. The harder task is proving that the entire research decision respected them.

Compute for research
Buy a faster answer to a defined question. More hardware and more parameter combinations are different purchases.

Risk & agent authority
Define what an agent can change, enforce that boundary independently, then test how the system behaves when evidence and execution fail.