Crypto Lake

Crypto Lake

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Historical cryptocurrency market data provider offering comprehensive order book data, tick trades, and OHLCV candles across 11 exchanges. Features high-performance Python API with caching and parallelization support.

Overview

Comprehensive Market Data Coverage

Crypto Lake provides extensive historical cryptocurrency data across 11 major exchanges, offering traders and researchers access to detailed market information. The platform's data types include L2 order book data with 20 levels of depth, tick-by-tick trades, and 1-minute OHLCV candles, enabling precise market analysis and strategy development.

High-Performance Python Integration

The platform's Python API is designed for optimal performance in data-intensive applications. With built-in caching functionality and parallelization support, users can efficiently process large datasets and implement complex trading strategies. The API installation is straightforward through pip, making it accessible for both new users and experienced developers.

Advanced Order Book Analysis Capabilities

Crypto Lake's 20-level order book depth data provides crucial insights for sophisticated trading strategies. This detailed market depth information enables accurate liquidity analysis, helping traders optimize execution strategies and identify arbitrage opportunities across different exchanges.

Optimized for Quantitative Trading Strategies

The platform specifically caters to quantitative traders and researchers, supporting various trading approaches including statistical arbitrage and market making. The combination of high-frequency data and efficient data delivery makes it particularly suitable for developing and testing algorithmic trading strategies.

Flexible Data Access and Integration

Users can access historical data through both Python API and online notebooks, with Google Colab integration available for those without local Python environments. This flexibility ensures that traders and researchers can work with the data in their preferred environment while maintaining access to all platform features.

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