PulseTrade

Updated: 2026-02-18

Trading research stack combining live ingestion, feature pipelines, forecasting services, and policy-driven execution.

Impact: Creates a testable path from market data to daily allocation decisions.

What I built

• Integrated websocket and API ingestion with Postgres and Timescale storage.
• Ran Celery workers, Redis queues, and forecast services in Compose.
• Automated nightly backfill, forecasting, and planning jobs through scheduler scripts.

Proof: Run `docker compose up -d ingest forecast strategist worker policy api redis db`.