This dataset provides the current daily prices of various commodities sourced from multiple markets (mandis) across different regions. It includes detailed information on the market names, commodity types, and their respective prices, offering a snapshot of real-time agricultural and other commodity market trends. The data is valuable for farmers, traders, and analysts to monitor price fluctuations, compare regional price variations, and make informed decisions. It offers insights into supply and demand dynamics, and market conditions, and helps in understanding the economic factors affecting commodity pricing. This dataset supports decision-making, price forecasting, and market research.

This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

Daily market prices of agricultural commodities across India from 2001-2025. Contains 75+ million records covering 374 unique commodities and 1,504 varieties from various mandis (wholesale markets). Commodity Like: Vegetables, Fruits, Grains, Spices, etc.

Cleaned, deduplicated, and sorted by date and commodity for analysis.

Column Schema

Data sourced from the Government of India's Open Data Platform.

License: Government Open Data License - India (GODL-India) https://www.data.gov.in/Godl

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

Dataset Information

This dataset includes daily price data for various commodities.

  Instruments Included

BDIY: Baltic Dry Index BEEF: Beef (dollars per pound) BIT: Bitumen (dollars per metric ton) C1: Corn (dollars per bushel) CC1: Cocoa (dollars per metric ton) CHE: Cheese (dollars per pound) CL1: Crude Oil (dollars per barrel) CO1: Brent Crude Oil (dollars per barrel) CRYTR: CRB Index CT1: Cotton (cents per pound) DA: Milk (dollars per hundredweight) DL1: Ethanol… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Commodities-Daily-Price.

Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

This statistic shows the stock prices of selected raw material commodities from January 2, 2020 to February 5, 2025. After the Russian invasion of Ukraine in February 2022, metal prices increased significantly due to disruptions to supply chain and increased demand. Since then, stock values of raw materials started to decrease albeit with some fluctuations.

This Dataset contains daily wholesale and retail prices of essential commodities in Maharashtra

GSCI fell to 556.57 Index Points on December 2, 2025, down 0.34% from the previous day. Over the past month, GSCI's price has fallen 0.80%, but it is still 3.06% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

This dataset contains daily and monthly prices of key commodities in North Sulawesi, Indonesia, from 2020 to 2025. It was compiled to support research in food security, inflation analysis, and predictive modeling.

Besides commodity prices, the dataset also includes: - Rolling averages (7-day, 30-day) - Lag features (1, 7, 30 days) - Macroeconomic indicators such as CPI (Consumer Price Index) and USD/IDR exchange rate - Weather data: temperature, rainfall, humidity - Calendar information: day count, day in month

This dataset can be useful for: - Forecasting models (ARIMA, LSTM, Prophet, etc.) - Economic analysis of price fluctuations - Policy-making support in agriculture and trade - Machine learning projects combining climate and economic features

This Dataset contains daily wholesale and retail prices of essential commodities in Madhya Pradesh

The dataset contains daily price ranges calculated from the daily high and low prices for Chicago Wheat, Corn, and Oats futures contracts, starting in 1877. The data is manually extracted from the ``Annual Reports of the Trade and Commerce of Chicago'' (today, the Chicago Board of Trade, CBOT, which is part of the CME group).

The price range is calculated as Range_t = ln(H_t) - ln(L_t), where H_t and L_t are the highest and lowest price observed on trading day t.

Description of the dataset:

• Date: The trading day, format dd-mm-yyyy
• Range_W_F1: Price range Wheat futures, First expiration (nearby contract)
• Range_W_F2: Price range Wheat futures, Second expiration
• Range_C_F1: Price range Corn futures, First expiration (nearby contract)
• Range_C_F2: Price range Corn futures, Second expiration
• Range_O_F1: Price range Oats futures, First expiration (nearby contract)
• Range_O_F2: Price range Oats futures, Second expiration

Corn rose to 433.53 USd/BU on December 2, 2025, up 0.01% from the previous day. Over the past month, Corn's price has fallen 0.17%, but it is still 2.43% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on December of 2025.

This Dataset contains daily wholesale and retail prices of essential commodities in Uttarakhand

This statistic shows the stock prices of selected oil and gas commodities from January 2, 2020 to February 4, 2025. After the Russian invasion of Ukraine in February 2022, energy prices climbed significantly. The highest increase can be observed for natural gas, whose price peaked in August and September 2022. By the beginning of 2023, natural gas price started to decline.

Graph and download economic data for Crude Oil Prices: Brent - Europe (DCOILBRENTEU) from 1987-05-20 to 2025-11-03 about crude, oil, Europe, commodities, and price.

Wheat fell to 529.25 USd/Bu on December 1, 2025, down 0.33% from the previous day. Over the past month, Wheat's price has fallen 2.62%, and is down 1.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on December of 2025.

Eggs US fell to 2.25 USD/Dozen on December 1, 2025, down 1.77% from the previous day. Over the past month, Eggs US's price has risen 37.63%, but it is still 42.64% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

India Retail Price: DCA: Daily: Atta: Modal Price data was reported at 22.000 INR/kg in 30 Nov 2018. This stayed constant from the previous number of 22.000 INR/kg for 29 Nov 2018. India Retail Price: DCA: Daily: Atta: Modal Price data is updated daily, averaging 21.000 INR/kg from Jan 2010 (Median) to 30 Nov 2018, with 2565 observations. The data reached an all-time high of 30.000 INR/kg in 15 May 2016 and a record low of 14.000 INR/kg in 16 Jul 2010. India Retail Price: DCA: Daily: Atta: Modal Price data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PB003: Retail Price: Department of Consumer Affairs: Agriculture Commodities: Daily: by Cities: Atta.

Wholesale Price: DCA: Daily: Tea Loose: Uttarakhand data was reported at 24,666.670 INR/Quintal in 02 Dec 2025. This records a decrease from the previous number of 26,500.000 INR/Quintal for 01 Dec 2025. Wholesale Price: DCA: Daily: Tea Loose: Uttarakhand data is updated daily, averaging 20,000.000 INR/Quintal from Sep 2015 (Median) to 02 Dec 2025, with 3264 observations. The data reached an all-time high of 30,000.000 INR/Quintal in 26 Jun 2022 and a record low of 17,500.000 INR/Quintal in 15 Jul 2019. Wholesale Price: DCA: Daily: Tea Loose: Uttarakhand data remains active status in CEIC and is reported by Department of Consumer Affairs. The data is categorized under India Premium Database’s Price – Table IN.PD: Wholesale Price: Department of Consumer Affairs: Agriculture Commodities: Daily: by States: Tea Loose.