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README.md
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---
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license: other
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license_name: finzdata-sample
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license_link: https://finzdata.com/terms
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pretty_name: US Futures Daily Bars (139 Markets) - Sample
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tags: [finance, futures, cme, commodities, ohlcv, backtesting, trading]
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task_categories: [time-series-forecasting, tabular-regression]
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size_categories: [n<1K]
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configs:
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- config_name: default
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data_files: sample.csv
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---
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# US Futures Daily Bars (139 Markets) - Sample
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Daily bars for US futures: equity index, energy, metals, rates, currencies and agriculture, as a back-adjusted continuous series.
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This repository is a **sample**: three rows per instrument from 2025-09-17 to 2025-09-19. The full dataset covers 139 futures markets with every individual contract since 2007, continuous series, the roll calendar, and 1-, 5-, 15-, 30-minute, hourly and daily bars.
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## Columns
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| Column | Type |
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|---|---|
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| `root` | str |
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| `date` | datetime64[us] |
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| `contract` | str |
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| `open` | float64 |
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| `high` | float64 |
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| `low` | float64 |
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| `close` | float64 |
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| `volume` | int64 |
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| `open_interest` | int64 |
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| `status` | str |
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## Get the full dataset
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- **AI assistants (Claude, ChatGPT, Cursor, Grok):** connect the FinzData MCP server once, https://api.finzdata.com/mcp ([setup](https://finzdata.com/mcp)), and ask in plain English.
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- **Python:** `pip install finzdata`, set `FINZDATA_API_KEY`, and data comes back as a pandas DataFrame.
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- **API:** free key at https://api.finzdata.com; full history at https://finzdata.com/shop
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Every FinzData dataset is point in time: each row is as it was known on its date, so backtests never see the future.
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FinzData is built for AI, quants, data scientists, and financial analysts. Clean Data. Real Insights. Real Alpha.
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Our commitment: the best breadth and depth of market data at the best value. We want you to succeed, and we are your partner in your research.
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