About
Who built lucabindi.com, what the platform is for, and how it approaches data and editorial work.
Founder
Luca Bindi is the founder and sole developer of lucabindi.com. He holds a Master's degree in Economics and an LL.M. in Banking and Securities Law.
Before building this platform, he worked at the Luxembourg branch of a globally systemically important bank (G-SIB), earlier in his career as Head of Research covering EMEA and Latin America. Most recently at the same institution, he worked in Strategy within the office supporting the CEO of the bank's international organization for Institutional Services, where he administered Quarterly Business Reviews across the bank's global regions — North America, EMEA, APAC, and Latin America — and client segments, including Asset Managers, Asset Owners, Official Institutions, and Alternatives.
His background covers macroeconomics, banking regulation, and institutional strategy, including Basel III and interest rate risk.
He speaks Italian, English, Spanish, and French.
What this platform is
lucabindi.com is an institutional monitoring platform for macro regime analysis, country risk, banking intelligence, and economic surprise tracking — built for macro researchers, bank treasury professionals, and institutional investors.
Data methodology
Every data series on the platform has a single canonical identity — for example, US real GDP, or the Euro Area's 10-year government bond yield — that can, in principle, be fed by more than one official source, which is useful when one provider updates faster or covers a longer history than another. That flexibility comes with a real discipline requirement: every source feeding a given series must report the same underlying quantity in the same unit.
When that discipline breaks, the platform treats it as a defect to find and fix, not a subtlety to live with. Two such cases — a unit-contamination error in a US inflation series, and a code bug that had silently substituted a regional aggregate for two countries' individual growth data — were each caught before publication and corrected, and both are documented publicly rather than quietly patched. The full account, including how each was found, is in How This Platform Verifies Its Own Data.
Editorial standards
Every published article is required to name exactly which data series it used, and to state clearly which parts of its argument are observation, which are interpretation, and which are forward-looking scenario rather than fact. Coverage is deliberately uneven in places — deeper for the United States and the Euro Area, thinner for some emerging markets and specific indicators — and that unevenness is stated rather than smoothed over. Full detail is in the Editorial Charter.
Contact
For institutional inquiries, see Institutional Procurement or Consulting.