Fragmented by default
There is rarely one canonical dataset. The work begins by collecting and reconciling the underlying market record.
Original research on commodity markets that are economically important, structurally opaque and poorly served by conventional coverage. The data comes first; the view comes after.
In smaller commodity markets, the useful record often lives in auction bulletins, customs tables, local-language releases, port activity, policy documents and difficult historical series. That fragmentation is the research opportunity.
There is rarely one canonical dataset. The work begins by collecting and reconciling the underlying market record.
Crop, intervention, logistics and trade changes can matter materially while receiving little systematic institutional coverage.
Exports, auction clearances, inventories, route economics and intervention mechanics matter more than second-hand commentary.
Coverage is intentionally concentrated. Each market earns a source map, reconciled history, model or analytical framework, release calendar and a view on what can actually change price.
Turkey crop formation, TMO intervention regimes, exchange data, exports and buyer behaviour.
Auction and production data across India, Sri Lanka and Kenya, rebuilt with publication-lag discipline.
Mirror statistics, origin attribution, trade rerouting and Sahel-to-India supply-chain reconstruction.
APT pricing, Chinese supply, mine output and trade flows across a difficult and inconsistent historical record.
Trade-flow reconstruction across refined tin, unwrought products and ore, with Indonesia as a key supply focus.
Vessel movement, sea and rail routes, cargo economics and observable physical constraints.
Every note should make its epistemic boundary visible. Facts, inference, unknowns and forecasts are deliberately separated so readers can see exactly where the analytical judgement begins.
Published data, documented policy, physical flows and other evidence directly supported by the source record.
The interpretation that most closely fits the available evidence, stated as interpretation rather than fact.
Data gaps and unresolved questions that would materially change confidence in the conclusion.
A forward-looking claim paired with the evidence that would support or disconfirm it.
The objective is not simply to produce a dataset. It is to reconstruct what market participants could actually have known, then connect physical changes to price and risk.
Government statistics, auction releases, customs data, exchanges, policy announcements and physical-flow sources.
Duplicates, re-statements, missing periods, unit changes and regime breaks are treated as research questions, not hidden cleaning steps.
Backtests and indicators use the date information became available, protecting models from look-ahead bias.
Supply, exports, inventories, logistics, policy and seasonality are linked to price through interpretable drivers.
The note focuses on what changed, why it matters, the implied path, and what would falsify the thesis.
The research library is designed around discrete questions rather than a constant volume of commentary. When the evidence changes, the view changes with it.
Mirror statistics and origin attribution in India's rapidly changing gum arabic supply.
TMO regimes, crop expectations, local-market signals and export cadence.
Consistent multi-market history across India, Sri Lanka and Kenya with release-lag controls.
Reconciling price, mine and trade series where pre-history and revisions can distort signals.
Building a comparable lake across HS 8001, 800110, 800120 and 260900.
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