The OHLCV dataset for cryptocurrency trading, especially one that contains all futures trading pairs from the Binance exchange, is a comprehensive collection of data points that are crucial for traders and analysts. Here’s a detailed description of what this dataset typically includes:

OHLCV Explained: - O (Open): The opening price of the asset for the given time period. - H (High): The highest price at which the asset traded during the time period. - L (Low): The lowest price at which the asset traded during the time period. - C (Close): The closing price of the asset for the given time period. - V (Volume): The total volume of the asset traded during the time period.

🕒 Always new auto-updating data from this dataset: - https://www.kaggle.com/code/arthurneuron/autoupdate-cryptocurrency-ohlcv-dataset/output

Introduction

This is a collection of all 1 minute candlesticks of all cryptocurrency pairs on Binance.com. All 80 of them are included. Both retrieval and uploading the data is fully automated—see this GitHub repo.

Content

For every trading pair, the following fields from Binance's official API endpoint for historical candlestick data are saved into a Parquet file:

 #  Column            Dtype     
--- ------            -----     
 0  open_time           datetime64[ns]
 1  open             float32    
 2  high             float32    
 3  low              float32    
 4  close             float32    
 5  volume            float32    
 6  quote_asset_volume      float32    
 7  number_of_trades       uint16    
 8  taker_buy_base_asset_volume  float32    
 9  taker_buy_quote_asset_volume float32    
dtypes: datetime64[ns](1), float32(8), uint16(1)

The dataframe is indexed by open_time and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest running pairs.

Here are two simple plots based on a single file; one of the opening price with an added indicator (MA50) and one of the volume and number of trades:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

Inspiration

One obvious use-case for this data could be technical analysis by adding indicators such as moving averages, MACD, RSI, etc. Other approaches could include backtesting trading algorithms or computing arbitrage potential with other exchanges.

License

This data is being collected automatically from crypto exchange Binance.

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

Content

The OHLCV data is coming from Binance and BITMEX, with Hourly frequency. And sorted by ascending.

Something Else

If anyone need, i will upload 1min/15min/daily Bitcoin and ETH price data. (also i have Future and Options data)

I am also trying to use ML approach on Crypto. But that seems not working at the moment.

This dataset contains historical price data for the top global cryptocurrencies, sourced from Yahoo Finance. The data spans the following time frames for each cryptocurrency:

BTC-USD (Bitcoin): From 2014 to December 2024 ETH-USD (Ethereum): From 2017 to December 2024 XRP-USD (Ripple): From 2017 to December 2024 USDT-USD (Tether): From 2017 to December 2024 SOL-USD (Solana): From 2020 to December 2024 BNB-USD (Binance Coin): From 2017 to December 2024 DOGE-USD (Dogecoin): From 2017 to December 2024 USDC-USD (USD Coin): From 2018 to December 2024 ADA-USD (Cardano): From 2017 to December 2024 STETH-USD (Staked Ethereum): From 2020 to December 2024

Key Features:

Date: The date of the record. Open: The opening price of the cryptocurrency on that day. High: The highest price during the day. Low: The lowest price during the day. Close: The closing price of the cryptocurrency on that day. Adj Close: The adjusted closing price, factoring in stock splits or dividends (for stablecoins like USDT and USDC, this value should be the same as the closing price). Volume: The trading volume for that day.

Data Source:

The dataset is sourced from Yahoo Finance and spans daily data from 2014 to December 2024, offering a rich set of data points for cryptocurrency analysis.

Use Cases:

Market Analysis: Analyze price trends and historical market behavior of leading cryptocurrencies. Price Prediction: Use the data to build predictive models, such as time-series forecasting for future price movements. Backtesting: Test trading strategies and financial models on historical data. Volatility Analysis: Assess the volatility of top cryptocurrencies to gauge market risk. Overview of the Cryptocurrencies in the Dataset: Bitcoin (BTC): The pioneer cryptocurrency, often referred to as digital gold and used as a store of value. Ethereum (ETH): A decentralized platform for building smart contracts and decentralized applications (DApps). Ripple (XRP): A payment protocol focused on enabling fast and low-cost international transfers. Tether (USDT): A popular stablecoin pegged to the US Dollar, providing price stability for trading and transactions. Solana (SOL): A high-speed blockchain known for low transaction fees and scalability, often seen as a competitor to Ethereum. Binance Coin (BNB): The native token of Binance, the world's largest cryptocurrency exchange, used for various purposes within the Binance ecosystem. Dogecoin (DOGE): Initially a meme-inspired coin, Dogecoin has gained a strong community and mainstream popularity. USD Coin (USDC): A fully-backed stablecoin pegged to the US Dollar, commonly used in decentralized finance (DeFi) applications. Cardano (ADA): A proof-of-stake blockchain focused on scalability, sustainability, and security. Staked Ethereum (STETH): A token representing Ethereum staked in the Ethereum 2.0 network, earning staking rewards.

This dataset provides a comprehensive overview of key cryptocurrencies that have shaped and continue to influence the digital asset market. Whether you're conducting research, building prediction models, or analyzing trends, this dataset is an essential resource for understanding the evolution of cryptocurrencies from 2014 to December 2024.

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