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DIESELCMDUSD — Gas Oil Historical Data

Download free historical Gas Oil (DIESELCMDUSD) price data — from raw tick quotes to monthly OHLC candles. Around 9 years of history available since 2017-12-26, exported as CSV or JSON with no signup required.

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Data specifications

SymbolDIESELCMDUSD
InstrumentGas Oil
Asset classCommodities – Energy
History available from2017-12-26
TimeframesTick → 1s → 1m → 5m → 15m → 30m → 1h → 4h → Daily → Monthly
Price typesBid & Ask
Export formatsCSV, JSON
Data sourceDukascopy Bank SA

Available DIESELCMDUSD timeframes

About Gas Oil data

Gas Oil (DIESELCMDUSD) is an commodities – energy instrument. MarketData Hub serves the complete DIESELCMDUSD historical price series — 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 your timeframe and bid/ask price, and export directly to CSV or JSON with no signup.

Frequently asked questions

Is DIESELCMDUSD historical data free to download?
Yes. You can browse the full Gas Oil (DIESELCMDUSD) price history on MarketData Hub for free. Downloads are covered by inexpensive prepaid credits measured in years of data — you pay for the date range you export, so one year of data costs one year of credit, and a free account starts with one year.
How far back does DIESELCMDUSD data go?
DIESELCMDUSD history is available from 2017-12-26 — roughly 9 years of data — up to the last completed trading day. Tick and intraday history typically start later than daily candles.
What timeframes and formats can I get for DIESELCMDUSD?
Every timeframe from raw tick data through 1-minute, 5/15/30-minute, hourly, 4-hour, daily and monthly OHLC candles, with bid or ask prices, exported as CSV or JSON.
What columns are in the DIESELCMDUSD CSV file?
OHLC files contain a timestamp plus open, high, low and close columns; tick files contain a timestamp with bid and ask prices. The data imports directly into Excel, Google Sheets, Python (pandas read_csv), R, MetaTrader, NinjaTrader and TradingView.
Can I use DIESELCMDUSD data for backtesting or in Python?
Yes. The CSV/JSON exports are ready for backtesting engines (Backtrader, VectorBT, MetaTrader Strategy Tester) and load straight into pandas, R or a spreadsheet for research and charting.
Do I need an account to download DIESELCMDUSD data?
No signup is required to browse and preview DIESELCMDUSD data. Creating a free account grants one free year of data to download.

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