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Forecasting Copper Prices

Copper prices depend on a mix of supply and demand, global economic growth, industrial production, geopolitical risk, the US dollar exchange rate, and interest rates. Using the Indicio methodology, we've uncovered the most relevant leading indicators driving the prices.

96%
Accuracy
< 3 mins
Leading indicators

Leading indicators identified with Indicio

Forecasted variable: LME Copper Grade A Cash price, USD per metric tonne

IndicatorRelevance
Google Trends: scrap copper price★★★
Copper COMEX stocks total★★★
LME aluminium stocks in warehouses★★★
LME copper Hamburg warehouse stocks★★★
LME copper Singapore warehouse stocks★★
Google Trends: copper price★★
LME copper Busan warehouse stocks★★
Americas Datastream copper (equity indices)★
COMEX high grade copper non-commercial spreading futures only★
LME copper Rotterdam warehouse stocks★
Copper Millberry delivery North West Europe (EUR per metric tonne)★
LME aluminium Baltimore warehouse–
LME North American special aluminium alloy Baltimore warehouse stocks–
LME aluminium Bilbao warehouse stocks–
Georgia exports, commodities, aluminium waste and scrap, USD–
LME aluminium alloy Genoa warehouse–

Indicio captures the group effect of the leading indicators; the relevance ranking of each indicator changes over time.

Indicio captures the group effect of the leading indicators. The relevance ranking of each indicator changes over time.

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Google Trends: scrap copper price

Rising search interest in scrap copper prices suggests growing interest in copper's market value.

Copper COMEX stocks total

Tracking COMEX copper stocks helps assess the balance between supply and demand.

LME copper Hamburg warehouse stocks

Like COMEX stocks, LME Hamburg warehouse stocks reflect how much metal is available in the market.

“Indicio has continuously improved our forecasts and added features that automate and support our business process.”
Steven Van Poecke · Head of Marketing Intelligence, Toyota Material Handling

Here's how a company in the commodities sector improved its forecasting process & accuracy by more than 50%

Customer success story

By moving from using the same 5 indicators to testing a large set of indicators, the company got immediate feedback on which indicators to use for each forecast, letting it track market trend shifts more frequently.

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