Rzzro Methodology — How We Build Commodity Intelligence

What Rzzro Does

Rzzro collects, validates, and publishes commodity market intelligence for procurement professionals. Our coverage spans 53 commodities across metals, energy, agriculture, and chemicals. Every data point we publish is traceable to a named source. Every forecast carries a probability band and a stated time horizon.

We do not aggregate blog posts. We do not republish press releases. Our intelligence is produced by a research process modeled on commodity trading desks, not content farms.

Data Sources

Price data is collected from exchange feeds, government statistical agencies, and industry associations. We prioritize primary sources over secondary reporting.

Commodity Group	Primary Source	Update Frequency
LME Base Metals (Cu, Al, Zn, Ni, Pb, Sn)	London Metal Exchange	Daily (settlement)
SHFE Metals (HRC, Rebar, Cu, Al)	Shanghai Futures Exchange	Daily (close)
Precious Metals (Au, Ag, Pt, Pd)	LBMA / COMEX	Daily (fix)
Energy (WTI, Brent, NatGas, Coal)	EIA / ICE / Argus	Daily
Bulk Commodities (Iron Ore, Coking Coal)	MB Fastmarkets / S&P Platts	Daily
Battery Materials (Li, Co, Mn, Graphite)	Fastmarkets / Benchmark Mineral Intelligence	Weekly
Industrial Chemicals (Methanol, ULSD)	ICIS / Argus	Weekly
Paper & Forestry (NBSK, Kraft)	RISI / Fastmarkets	Weekly
FX Rates	Yahoo Finance / ECB	Daily

Price Collection Protocol

Exchange prices captured at official settlement or close, not indicative intraday quotes.
OTC prices collected from assessment services (Argus, ICIS, Fastmarkets) that publish transparent methodologies.
All prices stored with timestamp, currency, unit, and source identifier.
Automated validation flags any daily move exceeding 3 standard deviations from the 30-day rolling mean for manual review.
Inventory data (LME, SHFE, COMEX warehouses) collected from exchange daily stock reports.

Forecast Methodology

Our price forecasts are probabilistic, not deterministic. Each forecast assigns a probability to three scenarios (bull, base, bear) over a stated time horizon. We do not publish single-point forecasts because they create false precision.

Forecast inputs include supply-demand fundamentals, inventory levels, exchange positioning, macro indicators (PMI, CPI, USD index), and geopolitical event analysis. We do not use black-box AI models for price prediction. Every forecast driver is named and weighted.

Correction policy: If we publish a price, statistic, or forecast that contains a factual error, we correct it within 24 hours of discovery. Corrections are noted inline with the date of the correction. We do not silently edit published intelligence.

Editorial Independence

Rzzro does not accept payment from commodity producers, traders, or suppliers in exchange for coverage. We do not publish sponsored content. Our revenue comes from subscriptions to our intelligence platform. This model means our readers are our customers, not advertisers.

Our editorial team has final authority over all published content. No commercial agreement overrides editorial judgment.

Article Standards

Every article cites at least two named, verifiable sources (research firms, exchange data, government statistics).
Every claim that states a number (price, percentage, volume) is sourced. Unsourced numbers do not publish.
We distinguish between FACT (sourced data point) and ESTIMATE (our analytical inference) in every piece.
Historical price data is verified against at least two independent sources before publication.

Report Standards

Weekly commodity intelligence reports follow a fixed structure: board brief, supply-demand snapshot, price action, inventory analysis, forward outlook with probability bands, and risk matrix. Each report includes a data transparency appendix listing every source used.

Reports are published on a fixed schedule. If a report is delayed, we state why and when it will publish.

Data Access

Current prices are available at /data/. Historical data and downloadable datasets require a subscription. API access is documented at /api/.

Questions about methodology, data provenance, or corrections: editorial@rzzro.com