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How to Handle API Rate Limits When Building Crypto Trading Bots

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Crypto trading bot developers frequently run into API rate limits imposed by platforms like Binance, CoinGecko, and CryptoCompare, each with different thresholds and rules. A common cause of hitting these limits is polling endpoints too frequently and failing to cache responses that change slowly. Developers are advised to implement aggressive caching with appropriate time-to-live values, use exponential backoff when a 429 error is returned, and monitor rate-limit headers to track remaining request quotas. Building fallback logic across multiple data sources is also recommended, since no single API guarantees full uptime. Following these practices helps bots stay within limits while maintaining reliable access to market data.

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