Coffee Arabica Historical Data Downloader
A desktop app that downloads Coffee Arabica (COFFEECMDUSX) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2017-12-04 — around 9 years — at every timeframe from raw ticks to monthly candles. A complete Coffee Arabica 1-minute series is roughly 3.1M rows, about 157 MB as CSV.
Preview a Coffee Arabica download →Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app
What the app fetches for Coffee Arabica
| Symbol | COFFEECMDUSX |
|---|---|
| Instrument | Coffee Arabica |
| Asset class | Commodities – Agriculture |
| History available from | 2017-12-04 |
| Timeframes | Tick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly |
| Price types | Bid & Ask |
| File formats | CSV, JSON (MetaTrader, NinjaTrader, Parquet & SQLite/DuckDB from the Pro licence) |
| Coverage | 2017-12-04 → 2026-08-01 (last completed trading day) |
| Retrieval | Local — your machine connects directly to Dukascopy Bank SA |
| Runs on | Windows, macOS, Linux |
Coffee Arabica timeframes the app supports
- Tick (every quote)
- 1 second
- 1 minute
- 5 minutes
- 15 minutes
- 30 minutes
- 1 hour
- 4 hours
- Daily
- Monthly
Coffee Arabica coverage & file size, timeframe by timeframe
Every Coffee Arabica timeframe shares the same 2017-12-04 start date, but not the same scale — coarser candles stay small while tick and intraday files grow fast. Current through 2026-08-01:
| Timeframe | History from | Approx. rows | Approx. CSV |
|---|---|---|---|
| Tick (every quote) | 2017-12-04 | very large | — |
| 1 second | 2017-12-04 | very large | — |
| 1 minute | 2017-12-04 | ~3.1M | ~157 MB |
| 5 minutes | 2017-12-04 | ~628K | ~31 MB |
| 15 minutes | 2017-12-04 | ~209K | ~10 MB |
| 30 minutes | 2017-12-04 | ~105K | ~5 MB |
| 1 hour | 2017-12-04 | ~52,400 | ~3 MB |
| 4 hours | 2017-12-04 | ~13,100 | ~655 KB |
| Daily | 2017-12-04 | ~2,200 | ~109 KB |
| Monthly | 2017-12-04 | ~100 | ~5 KB |
Counts are approximate, derived from commodity session hours across the available history. Tick and 1-second runs are queued and resumable rather than fetched in one pass. See the data methodology for how candles are built.
Working with the Coffee Arabica series
Arabica is the frost-and-drought market: Brazil's July 2021 frost added roughly 70% to prices within months, and 2024's drought pushed records again. Note the quoting unit — the USX suffix means US cents, in this case per pound, so a printed "250" is $2.50/lb; unit confusion here breaks P&L arithmetic silently. Continuous-CFD roll effects apply, and seasonality (harvest cycles) is real signal, not noise to be filtered.
What's inside the Coffee Arabica file
timestamp,open,high,low,close
One row per candle; tick files instead carry timestamp,bid,ask on every quote. All timestamps are UTC. Worked examples and import steps are in the CSV & JSON format guide.
About Coffee Arabica
Coffee Arabica (COFFEECMDUSX) is a commodity CFD with 9 years of retrievable history. It is commonly used for backtesting commodity and futures strategies, seasonality and volatility studies, hedging research and quantitative model training. Pick any date range from 2017-12-04 onward, choose a timeframe and the bid or ask side, and the app fetches and writes the files locally — no scripting.
Frequently asked questions
- How far back does Coffee Arabica data go?
- Coffee Arabica history runs from 2017-12-04 — roughly 9 years — up to the last completed trading day, at every timeframe from raw ticks to monthly candles. Every licence tier reaches all of it.
- How large is a full Coffee Arabica download?
- The complete Coffee Arabica 1-minute history is roughly 3.1M rows, about 157 MB as CSV. Daily candles over the same instrument are far smaller — around 2,200 rows, 109 KB. Tick and 1-second runs are larger again and are queued and resumable rather than fetched in one pass. Sizes are approximate; nothing is priced by volume.
- What columns are in the Coffee Arabica CSV file?
- OHLC files contain a timestamp plus open, high, low and close columns; tick files contain a timestamp with bid and ask prices. All timestamps are UTC. The files import directly into Excel, Google Sheets, Python (pandas read_csv), R, MetaTrader, NinjaTrader and TradingView.
- Do you sell Coffee Arabica data?
- No — we sell software. The MarketData Hub client retrieves Coffee Arabica (COFFEECMDUSX) on your own machine, under your instruction, directly from the source; we never host, cache or relay it. Your use of the retrieved data is subject to the source's terms.
Guides
- Get the app — Windows, macOS, Linux
- How to download historical commodity data
- CSV & JSON format — columns explained
- Tick data vs OHLC candles
- Backtesting with historical data