Candleweb by Ephraim DanielCandleweb by Ephraim Daniel

Candleweb

Ephraim Daniel

Ephraim Daniel

Candleweb

AI Trading Platform Visit Candleweb ↗
Engineered the backend and analytics infrastructure for Candleweb.io — enabling real-time AI trading, secure data management, and scalable API services for cryptocurrency markets.

The Challenge

The platform required high-speed AI trade processing, real-time data streaming, and robust admin capabilities while ensuring security, scalability, and reliability across live and demo trading environments.

The Approach

Implemented secure cookie-based API authentication. Built throttling and idempotency mechanisms for critical endpoints. Optimized bot database queries with Redis caching and OOP principles, scaling from 5 trades per minute to thousands per batch. Integrated Kucoin API and WebSocket streams for real-time market data.

The Impact

Increased trading throughput from 5 trades per minute to thousands per batch in seconds. Enabled real-time monitoring and actionable insights for analysts. Streamlined production log management and improved system reliability.
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Posted May 20, 2026

Backend infrastructure for an AI trading platform enabling real-time trading.