Live Stock Market Analysis Website with Real-Time F&O & Equity Data

I am looking for a skilled developer to build a comprehensive full-stack trading dashboard that provides real-time market analysis for both Equity and F&O. The platform should stream data from third-party providers and compute a range of technical indicators. The goal is to create a scalable solution optimized for high-frequency tick data, suitable for cloud deployment.

Key Requirements:
- Integration with third-party data providers for real-time market data
- Computation of technical indicators: Moving Averages, RSI, Bollinger Bands, VWAP, ADX, OI change, ATR
- Features including custom alerts, historical data analysis, portfolio tracking, scoring model, bid/ask ratio, buy/sell watchlist, and optional sector filter
- Scalable architecture for cloud deployment
- Optimization for handling high-frequency tick data

KEY MODULES
1. Backend Services
- Stream tick data via WebSocket (GDFL API)
- Store in PostgreSQL or any other effective DB
- Summarize 5-min, 3-min bars in near real-time
- Calculate indicators (VWAP, RSI, ADX, MACD, OI change, Bid/Ask pressure)
- Score model logic per 5-min & 3- min candle

2. Frontend (React or similar)
- Dashboard with sortable stock list
- Show price, score model, volume spikes, bias direction
- Color-coded signals (buy/sell/watch)
- Option to filter by sectors, bias, momentum

3. Admin Panel
- Manually enter strategy params or weightages
- Enable/Disable stock segments
- View system health (DB, tick rates, data lag)

4. Cloud Deployment
- Deployable on DigitalOcean, Render, Railway, any other platform etc.
- Auto restart on crash (pm2 / systemd)
- Secure API endpoint (no public DB access)

Ideal Skills and Experience:
- Proficiency in full-stack development with experience in financial or trading platforms
- Strong understanding of technical indicators and market data analysis
- Experience with cloud services and scalable application architecture
- Ability to integrate third-party APIs for real-time data streaming
- Familiarity with creating user-friendly and responsive dashboards

TECH STACK PREFERENCE
- Backend: Python (asyncio), FastAPI / Flask, PostgreSQL, any other DB
- Frontend: React (Tailwind or Material UI)
- WebSocket: GDFL streaming API integration
- Hosting: Railway / Render / AWS Lightsail (can be discussed)
- Optional: Redis / Kafka if needed for performance

DELIVERABLES
- Source code (GitHub repo access)
- Working frontend and backend
- PostgreSQL/any other DB schema and initial setup script
- Sample test data and mock replay feature
- Documentation for future maintenance with code walkthrough


I'm excited to collaborate with a developer who can bring this project to life with precision and innovation.