Historical Crypto Data: Examples, Providers & Datasets to Buy

What is Historical Crypto Data?

Historical crypto data refers to past market information related to cryptocurrency trading, pricing, and on-chain activity. This data is essential for backtesting trading strategies, performing market research, and developing machine learning models for predictive analytics.

It includes datasets such as historical OHLCV (Open, High, Low, Close, Volume) price data, order book snapshots, transaction histories, and blockchain metrics like wallet movements and mining activity. By analyzing historical trends, traders and investors can identify patterns, assess volatility, and make data-driven decisions.

Many historical crypto data providers support API access, making it easy to integrate large datasets into algorithmic trading models and financial analysis platforms.

What Are Examples of Historical Crypto Data?

Historical crypto data plays a crucial role in financial modeling, investment research, and blockchain analytics. Key examples include:

• OHLCV Price Data: Open, high, low, close, and volume data for each time interval (e.g., hourly, daily, weekly).
• Trade Data: Historical records of executed trades, including timestamp, price, and volume.
• Order Book Snapshots: Historical bid/ask prices and market depth at different time intervals.
• Blockchain Transaction Data: Records of on-chain transfers, wallet movements, and smart contract interactions.
• Exchange Volume Data: Historical trading volumes across different cryptocurrency exchanges.
• Funding Rate History: Past funding rates for perpetual futures contracts, used in derivatives analysis.
• Market Capitalization Data: Historical market cap rankings for cryptocurrencies over time.
• Volatility Metrics: Historical measures of price fluctuations, including realized volatility and implied volatility.