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FinValora — Real-Time FinTech & Paper-Trading Engine
Project Overview
FinValora is a modular, high-throughput cryptocurrency paper-trading and portfolio management backend. Built to simulate high-frequency financial platforms, it pairs a transactional Django / DRF foundation for state management with FastAPI for low-latency market streaming, offloading computational workloads to Celery & Redis.
Roles & Tools
Roles: Backend Architect, API Engineer, System Designer
Tools: Python, FastAPI, Django, Django REST Framework, WebSockets, Redis, Celery, PostgreSQL, Docker, Pytest, OpenAPI/Swagger
Core Highlights & Architecture
Hybrid Async Architecture
Transactional API (Django/DRF): Handles secure JWT auth (SimpleJWT), user accounts, wallets, order books, and multi-asset portfolio logic.
Real-Time Streaming (FastAPI + WebSockets): Dedicated async microservice for live price tickers, market data streaming, and WebSocket broadcasts over Redis Pub/Sub.
High-Performance Background Processing
Integrated Celery + Redis task queues to handle heavy financial math, automated portfolio snapshot calculations, equity curves, and drawdowns.
Reduced core HTTP response times by ~25% by executing asynchronous alert triggers and notification pipelines in background workers.
Dedicated Analytics Engine
Isolated data system for trade statistics, historical indicator calculations, strategy performance evaluation, and daily snapshot tracking.
Developer Experience & Quality Assurance
Interactive API documentation generated dynamically via drf-spectacular (OpenAPI / Swagger UI).
Unit & integration test suites validating transactional integrity, risk limits, and WebSocket handshakes.
Links & Resources
GitHub Repository: https://github.com/devHashim111/finvalora
Here is a high-converting, concise, and interactive Contra project post structured to showcase your architectural skills without wall-of-text fluff.
FinValora — Real-Time Crypto Trading & Portfolio Engine
FinValora is a modular, backend-heavy financial platform built to demonstrate high-concurrency microservices, real-time data streaming, and robust financial domain modeling.
Core Architecture & Stack
Transactional Core: Django & Django REST Framework (DRF) + SimpleJWT
Real-Time Engine: FastAPI + Async WebSockets (isolated for high throughput)
Background Processing: Celery + Redis (notifications, scheduled tasks, market sync)
API Specs & Docs: OpenAPI 3.0 / Swagger UI via drf-spectacular
Data Layer: Relational schema optimized for PostgreSQL (SQLite for local dev)
Key Technical Highlights
Financial Domain Modeling: Strict relations handling assets, exchanges, order books, trades, paper-trading wallets, and positions.
Separation of Concerns: Sync REST APIs handle transactional metadata, while async FastAPI pipelines stream live market feeds via WebSockets.
Performance & Analytics: Dedicated analytics layer computing daily equity curves, trade stats, drawdown history, and strategy metrics.
Notification System: Multi-channel queue pipeline (Email, In-App, Push) executed out-of-band via Redis & Celery workers.
Which part of the architecture interests you most?
Asynchronous WebSocket streaming via FastAPI & Redis Pub/Sub
Database design for order books & portfolio analytics
Decoupling long-running tasks with Celery background workers
Drop a comment below with your pick, or check out the code repositories!
Links
GitHub Repository: https://github.com/devHashim111/finvalora
Developer Portfolio: https://devhashim.vercel.app/
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