ccxt

You can fetch OHLCV data across 100+ crypto exchanges using a unified interface that standardizes public market data retrieval. This removes the need to implement exchange-specific APIs by providing consistent methods for time-series analysis and backtesting.

Yes, you can retrieve order book data from different exchanges using a single Python library. It provides unified access to public crypto exchange data, allowing you to query order books for pricing discovery and arbitrage research across markets.

This crypto ticker tool includes built-in rate-limit handling and supports pagination for historical data retrieval. These features ensure robust data fetching when querying tickers or OHLCV time-series across multiple exchanges.

The best way to standardize crypto market data for backtesting is using a unified interface to access public exchange data. It consolidates OHLCV, tickers, and order books across 100+ exchanges into a consistent format for time-series analysis.

Limitations when fetching public exchange data for crypto arbitrage research include potential rate-limit constraints and the need for pagination to retrieve deep historical time-series. The tool handles rate limits but users must configure exchange selection properly.