Production-grade Django backend ingesting real-time crypto OHLCV data at scale — async Celery processing, robust error handling, and a fully documented REST API.

This project consisted of developing a robust Django backend system to retrieve, process, and store cryptocurrency market data from the CoinGecko Pro API. The system was designed to provide historical price data, market analysis indicators, and aggregated OHLCV (Open, High, Low, Close, Volume) data for a large number of cryptocurrencies. Celery was used for asynchronous task management, enabling efficient data updates. Key components and features include: CoinGecko Pro API Integration, Data Models, Asynchronous Task Management, Data Aggregation, Error Handling, Database Interaction.

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High-availability Django infrastructure for crypto data: Celery workers, PostgreSQL, CoinGecko Pro. Real-time OHLCV, technical indicators, auto retry.

Django Backend for Crypto Data

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