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TwitterDaily 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 | Description | Description |
|---|---|---|
| State | Name of the Indian state where the market is located | province |
| District | Name of the district within the state where the market is located | city |
| Market | Name of the specific market (mandi) where the commodity is traded | string |
| Commodity | Name of the agricultural commodity being traded | string |
| Variety | Specific variety or type of the commodity | string |
| Grade | Quality grade of the commodity (e.g., FAQ, Medium, Good) | string |
| Arrival_Date | The date of the price recording, in unambiguous ISO 8601 format (YYYY-MM-DD). | datetime |
| Min_Price | Minimum price of the commodity on the given date (in INR per quintal) | decimal |
| Max_Price | Maximum price of the commodity on the given date (in INR per quintal) | decimal |
| Modal_Price | Modal (most frequent) price of the commodity on the given date (in INR per quintal) | decimal |
| Commodity_Code | Unique code identifier for the commodity | numeric |
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
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Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
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.
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TwitterEnd-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
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TwitterEnd-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
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Daily stock market price information for all U.S. publicly traded firms.
Markets
stocks,prices,nyse,nasdaq,S&P500
65501
$1499.99
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TwitterEnd-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
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This table presents prices of several global markets as published daily in the Dutch Financieel Dagblad. On the basis of daily prices, Statistics Netherlands calculates average monthly prices, quarterly averages and annual averages. The table is divided into the following product groups: Agricultural products, Tropical products, Precious metals, Metals and Energy. Exchange rates of the US dollar, the British pound and the Japanese yen against the Euro and vice versa are also given in this table.
Data available from: 2006
Status of the figures. All figures presented in this table are final.
When will more recent figures be published? Approximately 14 days after the reporting month, more recent figures will be available for publication.
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TwitterThis 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.
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License information was derived automatically
This dataset provides daily modal prices of major commodities in Kerala from 2010 to 2024, cleaned and aggregated for easy analysis. The data originates from Data.gov.in, a central repository that offers a wide variety of publicly available datasets across multiple sectors in India. The dataset has been processed to remove duplicates, handle missing values, and add derived features such as seasonal labels and log-transformed prices.
It is suitable for exploring market trends, seasonal patterns, and price forecasting, and can also serve as a benchmark for machine learning modeling. The full project repository, including data wrangling, statistical analysis, and modeling notebooks, is available on GitHub: https://github.com/aswinbenny/commodity-price-analysis.
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This dataset contains 2000 daily stock market records including price movements, trading volume, market trends, indices, economic scores, and market sentiment information. It covers multiple sectors with a general category column and includes a target column for the next-day closing price. Additional text columns capture market sentiment and news tags for each record. The dataset is designed to provide comprehensive insights into stock market behavior and trends.
Number of Records: 2000
Number of Columns: 18
Column Descriptions:
Category – General text representing the sector or type of stock (e.g., Tech, Finance, Health).
Date – The calendar date of the stock record.
Open – The opening price of the stock on that day.
High – The highest price of the stock during the day.
Low – The lowest price of the stock during the day.
Close – The closing price of the stock on that day.
Volume – The total number of shares traded during the day.
SMA_10 – The 10-day simple moving average of the closing price, showing short-term trend.
EMA_10 – The 10-day exponential moving average of the closing price, giving more weight to recent prices.
Volatility – The standard deviation of the closing price over a 10-day window, representing price fluctuation.
Wavelet_Trend – Trend component of the closing price over a 10-day period.
Wavelet_Noise – Difference between the actual closing price and the trend component, capturing minor fluctuations.
Wavelet_HighFreq – Daily price changes in closing price, showing high-frequency movement.
General_Index – A numeric indicator representing general market performance.
Economic_Score – A numeric score representing overall economic factors impacting the stock.
Market_Sentiment – Text describing the sentiment of the market for that day (Positive, Neutral, Negative).
News_Tag – Text describing the main type of news impacting the stock on that day (e.g., Earnings, Merger).
Close_Next – The closing price of the stock for the next day, serving as the target variable.
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Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.
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Coffee fell to 408.66 USd/Lbs on December 2, 2025, down 0.95% from the previous day. Over the past month, Coffee's price has risen 0.50%, and is up 38.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on December of 2025.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
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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.
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TwitterEnd-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.
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TwitterThis 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.
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TwitterThis series gives the average wholesale prices of selected home-grown horticultural produce in England and Wales. These are averages of the most usual prices charged by wholesalers for selected home-grown fruit, vegetables and cut flowers at the wholesale markets in Birmingham, Bristol, Manchester and a London Market (New Spitalfields or Western International). This publication is updated fortnightly.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">18.3 KB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">371 KB</span></p>
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This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
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Copper rose to 5.19 USD/Lbs on December 2, 2025, up 0.35% from the previous day. Over the past month, Copper's price has risen 3.22%, and is up 25.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on December of 2025.
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This dataset presents a unified, cross-continental time-series day-ahead electricity prices compiled from major wholesale markets across Asia, Europe, North America, South America, and Oceania. The dataset offers a standardized format that supports time-series forecasting and enables robust comparative analysis across diverse global electricity markets.
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TwitterThis statistic shows the stock prices development of selected companies in the e-commerce industry from January 2, 2020 to February 5, 2025. After an initial decrease in stock values in March 2020, the stock price of Amazon increased overall. On the other hand, Zalando and Alibaba stocks are worth less than they were worth in January 2020.
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TwitterDaily 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 | Description | Description |
|---|---|---|
| State | Name of the Indian state where the market is located | province |
| District | Name of the district within the state where the market is located | city |
| Market | Name of the specific market (mandi) where the commodity is traded | string |
| Commodity | Name of the agricultural commodity being traded | string |
| Variety | Specific variety or type of the commodity | string |
| Grade | Quality grade of the commodity (e.g., FAQ, Medium, Good) | string |
| Arrival_Date | The date of the price recording, in unambiguous ISO 8601 format (YYYY-MM-DD). | datetime |
| Min_Price | Minimum price of the commodity on the given date (in INR per quintal) | decimal |
| Max_Price | Maximum price of the commodity on the given date (in INR per quintal) | decimal |
| Modal_Price | Modal (most frequent) price of the commodity on the given date (in INR per quintal) | decimal |
| Commodity_Code | Unique code identifier for the commodity | numeric |
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