Gold-IQ-AI is an independent editorial publication covering gold markets, foreign exchange, and the application of artificial intelligence to financial analysis.
We exist because most market commentary answers the wrong question. It tells readers what a price will do next week. We think the more useful question — and the only one that can be answered honestly — is what mechanism is driving this market, and what would change it?
What we publish
Our work falls into four areas:
Gold Analysis — the drivers that actually move gold: real yields, dollar strength, central bank reserve demand, and positioning flows.
Forex Analysis — major currency pairs examined through rate differentials, relative economic surprise, terms of trade, and positioning.
AI Trading — a deliberately sceptical look at what machine learning genuinely contributes to market analysis, and where it structurally fails.
Market News — economic developments placed in context rather than reported as headlines.
Our editorial standards
These are the rules we hold ourselves to. They are not decoration — they are the reason we think our work is worth your time.
We state the mechanism. Any directional view we publish must explain why a market should move, not merely that it might. An analysis without a mechanism is a guess with formatting.
We state what would prove us wrong. Every view identifies the condition or level that would invalidate it. A claim that cannot be falsified cannot be evaluated, and anything that cannot be evaluated cannot be improved.
We do not hide the other side. In currency analysis especially, most published forecasts are right about one economy and silently assume the other stays still. We make our assumption about both sides explicit.
We distinguish analysis from prediction. We are comfortable saying that something is unknowable. We would rather publish an honest uncertainty than a confident number.
We correct errors openly. When we get something wrong, we say so in the article rather than quietly editing it away.
How we use AI
We write about artificial intelligence in markets, so it is fair to be direct about our own use of it.
We use computational tools for what they are good at: monitoring relationships across many variables simultaneously, flagging when a historical correlation is weakening, screening for unusual positioning or flow data, and testing whether an idea has precedent.
We do not use them to generate directional calls, and we do not treat a model output as a conclusion. Our standing rule is that a model result is a prompt to investigate, never an answer to act on. Editorial judgement, risk assessment, and the decision about what is worth publishing remain human.
Our sources
We work primarily from primary data: central bank statements and minutes, government yield curves and inflation-linked securities, official economic releases, exchange-published futures positioning reports, and ETF flow data.
Where we reference secondary commentary, we say so. Where a figure is an estimate rather than a published number, we label it as one.
What we are not
This is the most important section on this page.
We are not financial advisors. Nothing published on this site is personalised investment advice. We do not know your circumstances, your risk tolerance, your time horizon, or your obligations, and no article can account for them.
We do not offer signals, managed accounts, or paid trade recommendations, and we do not sell any such service.
We are not a broker and we do not accept payment for coverage of any instrument, platform, or institution.
Trading carries genuine risk of loss. Anyone acting on market information should do their own research and, where appropriate, consult a licensed professional in their own jurisdiction.
Contact
Corrections, questions, and editorial feedback are welcome — particularly corrections. If you believe something we published is wrong, we would rather hear it than not. You can reach us through our contact page.
For our full legal position, see our disclaimer and privacy policy.
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