QuantCandle API
Evelyn Azalea da Silva Olimpio
Published
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Architected a high-performance REST API designed to serve pre-processed, stationarity-engineered features to live machine learning models in real-time. Built with FastAPI and Asynchronous SQLAlchemy, this system serves as the delivery layer for the QuantCandle ecosystem, handling high-concurrency requests for 1-minute Bitcoin candle data. Key features include an Async Architecture for fully non-blocking database queries to ensure millisecond-latency responses, Cloud Deployment on Oracle Cloud VPS secured via RapidAPI proxy, and an ML-Ready Schema that delivers feature vectors formatted specifically for LSTMs, Transformers, and XGBoost consumption.