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Daily Grain Trading Data
Stock & Market Data
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About
Historical data on futures contracts for various grains, sourced from Yahoo Finance. It details financial agreements obligating a buyer to purchase and a seller to sell a specific quantity of grain at a predetermined price on a future date. This dataset is valuable for understanding market dynamics, predicting agricultural trends, and supporting strategic decisions in commodity trading.
Columns
- Date: The recording date for the data, formatted as YYYY-MM-DD.
- Open: The market's opening price for the trading day.
- High: The highest price reached during the trading session.
- Low: The lowest price traded during the day.
- Close: The market's closing price.
- Volume: The total number of contracts traded during the session.
- Ticker: A unique market quotation symbol used to identify the specific grain future, such as ZR=F or ZL=F.
- Commodity: Specifies the type of grain the future contract represents, including Corn, Oat, Rough Rice, and Soybean Oil.
Distribution
The dataset is typically provided in CSV format, such as
all_grains_data.csv (2.27 MB). It contains approximately 36,000 valid records across 8 columns. The data is expected to be updated daily.Usage
- Developing machine learning models to correlate grain futures prices with historical data for predicting potential harvest yields.
- Implementing deep learning techniques to analyse the relationship between grain price movements and significant weather patterns.
- Creating time-series forecasting models to predict future grain prices, thereby assisting traders and stakeholders in their decision-making processes.
Coverage
The dataset spans a historical period from 3rd January 2000 to 24th June 2024. It covers futures contracts for a variety of cereals and grains, including corn, oat, rough rice, and soybean oil.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
- Financial Traders and Investors: For analysing market trends and making informed trading decisions.
- Agricultural Analysts and Researchers: To study market behaviour, supply chain dynamics, and the impact of external factors on crop values.
- Data Scientists and Machine Learning Engineers: For building predictive models for crop yields, price forecasting, and market analysis.
- Economists: To understand commodity market economics and its broader implications.
Dataset Name Suggestions
- Grain Futures Market Data
- Historical Cereal Futures Prices
- Agricultural Commodity Futures Database
- Daily Grain Trading Data
- Global Grain Futures Analytics
Attributes
Original Data Source: Daily Grain Trading Data
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