Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset contains historical daily price data for WTI (West Texas Intermediate) and Brent Crude Oil futures contracts. The data spans from April 5, 2017, to April 10, 2024, and includes key pricing information such as opening, closing, high, low, average prices, and volume for each trading day. The data was sourced using the Interactive Brokers API and includes futures contract details for both WTI and Brent Crude Oil traded on the NYMEX exchange. This dataset can be used for time series analysis, forecasting, and other financial applications related to the oil market.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api and through PyPI (pip install NREL-dsgrid-legacy-efs-api). The data format is HDF5. The API is written in Python.
This initial dsgrid data set, whose description was originally published in 2018, covers electricity demand in the contiguous United States (CONUS) for the historical year of 2012. It is a proof-of-concept demonstrating the feasibility of reconciling bottom-up demand modeling results with top-down information about electricity demand to create a more detailed description than is possible with either type of data source on its own. The result is demand data that is more highly resolved along geographic, temporal, sectoral, and end-use dimensions as may be helpful for conducting electricity sector-wide "what-if" analysis of, e.g., energy efficiency, electrification, and/or demand flexibility.
Although we conducted bottom-up versus top-down validation, the final residuals were significant, especially at higher geographic and temporal resolution. Please see the Executive Summary and/or Section 3 of the report to obtain an understanding of the data set limitations before deciding whether these data are suitable for any particular use case.
New dsgrid datasets are under development. Please visit https://www.nrel.gov/analysis/dsgrid.html for the latest information which is also linked in the data resources.
Facebook
TwitterModern Futures Trading Association Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterFutures Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset contains historical 1-minute candlestick (OHLCV) data for the BTC/USDT trading pair from January 2020 to March 15, 2025. The data is sourced directly from the Binance API and covers both the spot market and futures market.
Structure The dataset is organized into annual folders (e.g., 2020/, 2021/, etc.). Each year contains monthly subfolders (e.g., 01/, 02/, ..., 12/). Each month includes two CSV files: - trading_data.csv → Spot market data - futures_data.csv → Futures market data
Data Frequency & Cleaning 1-minute interval candlestick data. From the 12 columns provided by the Binance API, only the most relevant and useful ones have been kept: - Open time - Open - High - Low - Close - Volume - Number of trades - Taker buy base asset volume
Updates This dataset will be updated periodically (every 5 to 15 days) to ensure it remains current.
Usage This dataset is ideal for: * Backtesting trading strategies * Analyzing market trends * Developing machine learning models for trading
Facebook
TwitterFutures Leisure Preston Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterNorthern Futures Int L Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterData contains 1h OHLCV, funding rate, and sum open interest and long short ratio data from Binance. A multivariate time series analysis has been implemented to conclude which exogeneous variables are better at capturing a successful model when predicting the future price of bitcoin, or altcoins.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
Data collected from Binance Futures API at 10s intervals 24 hours a day 7 days a week.
A text file containing the mark price in each row. The earliest time point is around Jan 11th 2020. latest: The last time point is 2021-01-07 1:52 a.m UTC (unix time: 1609984372).
Facebook
TwitterSh Futures Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterExtensive and dependable pricing information spanning the entire range of financial markets. Encompassing worldwide coverage from stock exchanges, trading platforms, indicative contributed prices, assessed valuations, expert third-party sources, and our enhanced data offerings. User-friendly request-response, bulk access, and tailored desktop interfaces to meet nearly any organizational or application data need. Worldwide, real-time, delayed streaming, intraday updates, and meticulously curated end-of-day pricing information.
Facebook
TwitterBest Futures General Trading Co Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterWith the sole mission to democratize financial data, Finnhub is excited to release the new S&P futures tick dataset from 2000-2019.
https://www.cmegroup.com/trading/equity-index/us-index/sandp-500_quotes_globex.html
Facebook
TwitterPt Arkona Dua Futures Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
Twitterhttps://www.reddit.com/wiki/apihttps://www.reddit.com/wiki/api
The datasets contain historical stock or futures prices for my personal projects and learning purposes. The equity classification and data source are mainly from Yahoo Finance, Google Finance, or Nasdaq with API access. So you can practice EAD or predictive analysis on your own and assume the dataset structure will not change so much when used in the same platform later. In short, please do not contact me privately for recently updated data. Below is the breakdown for every file, as all came from different sources.
Facebook
TwitterBushra Futures Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterBetter Futures For Kids Foundation Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Baltic Dry rose to 2,600 Index Points on December 2, 2025, up 0.66% from the previous day. Over the past month, Baltic Dry's price has risen 33.68%, and is up 110.19% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on December of 2025.
Facebook
TwitterAPI2 Rotterdam coal futures amounted to *****U.S. dollars per 1,000 metric tons on October 27, 2025 for contracts with delivery in November 2025. API2 Rotterdam is a Europe-wide coal price benchmark. Import prices for thermal coal became more volatile following the Russia-Ukraine war and European Union sanctions on Russian coal imports. However, since 2024, the AP12 Rotterdam as well as the worldwide coal price index have been comparatively stable.
Facebook
TwitterEximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
Facebook
TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset contains historical daily price data for WTI (West Texas Intermediate) and Brent Crude Oil futures contracts. The data spans from April 5, 2017, to April 10, 2024, and includes key pricing information such as opening, closing, high, low, average prices, and volume for each trading day. The data was sourced using the Interactive Brokers API and includes futures contract details for both WTI and Brent Crude Oil traded on the NYMEX exchange. This dataset can be used for time series analysis, forecasting, and other financial applications related to the oil market.