The original title is "Crypto API Rate Limiting: Best Practices for Trading Bots"

Short summary

This article covers practical strategies for handling crypto API rate limits in trading bots, including aggressive caching with TTLs, exponential backoff on 429 responses, reading rate-limit headers, and building multi-source failover. Code examples in Python demonstrate each pattern with real endpoints from Binance, CoinGecko, and the author's own Regime API. The content is useful but heavily promotes the author's getregime.com product throughout.

• •Cache API responses with appropriate TTLs — most market data doesn't change every second
• •Implement exponential backoff with Retry-After header support for 429 responses
• •Build failover across multiple data sources and read rate-limit headers proactively

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