datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
forex_USDJPY中文 | 日本語
USDJPY Tick Data Dataset
Data Source
This dataset is generated from historical tick-level data of the USDJPY forex pair, collected from major forex trading platforms. The data has been cleaned and organized by year, with each CSV file representing one year of tick data.
Data Content
Each row represents a single tick event, with the following fields:
timestamp: Transaction timestamp (millisecond precision)
ask: Ask price (price to buy the pair)
bid:… See the full description on the dataset page: https://huggingface.co/datasets/huggingXG/forex_USDJPY.oanda-forex-m30-dataforex-algotrading-m15-1000-columns
FOREX Algotrading M15 1000 Columns
Descrição
Este dataset contém dados históricos de Forex em intervalos de 15 minutos (M15), incluindo múltiplos pares de moedas. É voltado para análise de séries temporais e desenvolvimento de algoritmos de trading automatizados. Cada arquivo CSV contém 1000 colunas com dados de mercado, como preços de abertura, fechamento, máxima e mínima, volume e spread.
Estrutura do dataset
Cada arquivo CSV possui as seguintes colunas:… See the full description on the dataset page: https://huggingface.co/datasets/lukealvess/forex-algotrading-m15-1000-columns.africa-synth-energy-oilgas-forex-earnings-nigeria
Africa Synth Energy Oilgas Forex Earnings Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: csv - Sector: energy - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public datasets… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-energy-oilgas-forex-earnings-nigeria.forex-eurusd-winning-tradesThis dataset contains 4479 simulated winning transactions (real data, fictitious money) (3 years 201408-201708) with buy transactions (2771 operations 50.7%) and sell (2208 transactions, 49.3%), to generate this data a script of metatrader was used, operations were performed in time frame 4Hour and fixed stop loss and take profits of 50 pips (4 digits) were used to determine if the operation is winning. Each operation contains a set of classic technical indicators like rsi, mom, bb, emas, etc.… See the full description on the dataset page: https://huggingface.co/datasets/deerfieldgreen/forex-eurusd-winning-trades.forex_usd-jpy_1m-20-25maven-trading-review-uae-forex-prop-firm
Maven Trading Review — UAE Forex Prop Firm Data (2026)
AI Risk Management Model Training Data for Forex Prop Trading
This dataset provides structured training data for building AI risk management models tailored to forex prop trading. It covers Maven Trading challenge types, pricing, trading rules, drawdown parameters, and payout information — designed for machine learning pipelines that predict drawdown risk, optimize position sizing, and evaluate funded trader… See the full description on the dataset page: https://huggingface.co/datasets/propfirmkey/maven-trading-review-uae-forex-prop-firm.