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Gas Oil Historical Data Downloader

A desktop app that downloads Gas Oil (DIESELCMDUSD) price history on your own machine, written straight to your disk as CSV or JSON. History runs from 2017-12-26 — around 9 years — at every timeframe from raw ticks to monthly candles. A complete Gas Oil 1-minute series is roughly 3.1M rows, about 156 MB as CSV.

Preview a Gas Oil download →

Windows, macOS, Linux · €5.60 one-time for the entry licence · get the app

What the app fetches for Gas Oil

SymbolDIESELCMDUSD
InstrumentGas Oil
Asset classCommodities – Energy
History available from2017-12-26
TimeframesTick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly
Price typesBid & Ask
File formatsCSV, JSON (MetaTrader, NinjaTrader, Parquet & SQLite/DuckDB from the Pro licence)
Coverage2017-12-26 → 2026-08-01 (last completed trading day)
RetrievalLocal — your machine connects directly to Dukascopy Bank SA
Runs onWindows, macOS, Linux

Gas Oil timeframes the app supports

Gas Oil coverage & file size, timeframe by timeframe

Every Gas Oil timeframe shares the same 2017-12-26 start date, but not the same scale — coarser candles stay small while tick and intraday files grow fast. Current through 2026-08-01:

TimeframeHistory fromApprox. rowsApprox. CSV
Tick (every quote)2017-12-26very large
1 second2017-12-26very large
1 minute2017-12-26~3.1M~156 MB
5 minutes2017-12-26~624K~31 MB
15 minutes2017-12-26~208K~10 MB
30 minutes2017-12-26~104K~5 MB
1 hour2017-12-26~52,000~3 MB
4 hours2017-12-26~13,000~650 KB
Daily2017-12-26~2,200~108 KB
Monthly2017-12-26~100~5 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 Gas Oil series

Gas oil (the European diesel benchmark) is quoted in US dollars per metric tonne — not per barrel — and its defining modern window is 2022, when the loss of Russian supply blew refined-product cracks to records and briefly made diesel the tightest market in energy. As a continuous futures CFD it carries roll discontinuities, and as a refined product it can decouple sharply from crude: treating it as "Brent with extra steps" misses exactly the episodes that matter.

What's inside the Gas Oil 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 Gas Oil

Gas Oil (DIESELCMDUSD) 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 2017-12-26 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 Gas Oil data go?
Gas Oil history runs from 2017-12-26 — 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 Gas Oil download?
The complete Gas Oil 1-minute history is roughly 3.1M rows, about 156 MB as CSV. Daily candles over the same instrument are far smaller — around 2,200 rows, 108 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 Gas Oil 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 Gas Oil data?
No — we sell software. The MarketData Hub client retrieves Gas Oil (DIESELCMDUSD) 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

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