l0grisk intelligence · english

// about

l0g, an independent economic news publication

l0g.fr is an independent economic news outlet, online journal and digital newsroom published by Olivier Laurelli, also known as Bluetouff, in Chartres, France. The newsroom covers macroeconomics, markets, credit, digital assets, economic policy and systemic risk through dated, bylined and sourced reporting, analysis and investigations.

Publication and newsroom

l0g is edited and published by Olivier Laurelli as a sole proprietor. He serves as publication director, journalist, author and analyst. Each article identifies its author and publication date, links claims to sources and exposes material corrections.

Editorial, press and technical enquiries use the l0g contact page. The editorial protocol explains sourcing, verification and corrections. Legal publisher information is available in the legal and privacy notice, and reusable material is listed in press resources.

Editorial coverage

The publication is built for readers who want to understand the mechanisms behind market narratives: Treasury funding, central-bank balance sheets, repo stress, private credit opacity, sanctions, stablecoins, dollar funding, on-chain data and macro releases.

News articles cover current events. Guides define durable concepts. Investigations assemble evidence over time. Dashboards expose signals. Machine-readable endpoints make the underlying public evidence reusable.

Primary sources first

Official datasets, filings and regulator publications are preferred over summaries and recycled narratives.

Risk calibration

l0g tracks stress, opacity and market plumbing. It does not pretend to forecast the next tick.

Open surface

The public API, Agent Surface and MCP server make the corpus queryable without scraping or hidden access.

No fake precision

Scores and dashboards are reading aids, not a single omniscient index. Coverage and limits matter.

The boundaries of l0g

l0g is not investment advice, a trading signal service, a paid data terminal, or a black-box score vendor. It is a public notebook with strong source discipline, explicit caveats and a bias toward verifiable evidence.

How to reuse it

Start with the English guides, read the methodology, and use the API or MCP server when a workflow needs structured data. The stable editorial protocol defines the evidence contract. Code is licensed under MIT. Editorial text, public data and evidence artifacts are licensed under CC BY 4.0 with attribution to l0g.fr. Third-party material keeps its original rights.