FinValora — Real-Time FinTech &

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/