⚙️ Commodities – Metals Historical Data Downloader
A desktop app that downloads historical price data for 3 instruments in Commodities – Metals — metal commodities such as copper and platinum — with daily history reaching back to 2012. Every series is available from tick level up to monthly OHLC candles, fetched on your own machine and written locally as CSV or JSON, current to the last completed trading day.
Popular: High Grade Copper · Palladium · Platinum
Preview Commodities – Metals downloads →One licence covers every instrument below and its entire history — tiers differ by export formats, bulk queueing and automation, never by how much data you may retrieve. Get the app · from €5.60, one time · Windows, macOS, Linux.
All Commodities – Metals instruments (3)
Guides for Commodities – Metals
- Backtesting a Trading Strategy with Historical Data
- Querying Historical Market Data with SQL (DuckDB)
- Historical Market Data CSV & JSON Format Explained
Frequently asked questions
- How far back does Commodities – Metals historical data go?
- The deepest daily series in this class is High Grade Copper, with daily candles from 2012-03-02. Tick-level history is younger everywhere: the earliest Commodities – Metals tick data starts 2012-03-02, and the newest additions only from 2021-11-01.
- Which Commodities – Metals instruments have the longest history?
- High Grade Copper (daily from 2012-03-02), Palladium (daily from 2021-07-04), Platinum (daily from 2021-11-01). Each instrument page lists its exact per-timeframe start dates.
- Do all 3 Commodities – Metals instruments include tick data?
- Yes — every instrument here can be fetched at tick level, but each series only reaches back to its own tick start date (2012-03-02 for the earliest, 2021-11-01 for the newest listings). Always check the per-timeframe table on the instrument page before assuming intraday depth.
- When do Commodities – Metals markets trade?
- These markets trade extended weekday sessions with weekend gaps and per-market holiday closures; exact hours vary by venue. The gaps are real market structure, not missing data.