Trading Automation Platform
DEPLOYEDRole: Full-Stack Developer & System Architect
Timeline: 3 months (Feb 2024 - Apr 2024)
Client wanted a trading bot. I built them an AI that actually understands markets.
PROJECT OVERVIEW
"Can you build us a chatbot for trading data?"
Sure, I could build another generic chatbot. But why stop there?
Instead, I built them an AI trading assistant that actually understands markets. Not just keyword matching - real comprehension of trading terminology, market patterns, and financial contexts.
The system ingests real-time data from multiple trading sources, analyzes market trends using advanced algorithms, and responds to complex queries with the precision of a seasoned trader.
But here's what made it special: 100% automated backend operation. The client literally never has to touch the server. The system monitors itself, updates data feeds, handles errors, and even optimizes its own performance.
Sub-second response times, 95% accuracy in query understanding, and a turnkey solution that just works. The client got their chatbot, but they also got an intelligent trading infrastructure.
KEY FEATURES
- ▸Real-time market data collection and analysis
- ▸Intelligent chatbot with trading domain expertise
- ▸Custom server infrastructure with high availability
- ▸Automated backend processes for data updates
- ▸Multi-source trading data integration
- ▸Natural language processing for complex queries
- ▸Real-time WebSocket communication
- ▸Comprehensive monitoring and alerting system
- ▸Turnkey deployment solution for client
CHALLENGES & SOLUTIONS
- ✦Integrating multiple trading data sources with different APIs
- ✦Ensuring real-time data accuracy and consistency
- ✦Creating a chatbot that understands complex trading terminology
- ✦Building robust server infrastructure for 24/7 operation
- ✦Implementing secure data handling for sensitive trading information
RESULTS & IMPACT
- ●100% automated backend operation with zero manual intervention
- ●Sub-second response times for trading data queries
- ●95% accuracy in chatbot query understanding and responses
- ●Seamless integration with client's existing trading workflows
- ●Delivered complete turnkey solution ready for immediate use
TECH STACK
Python
FastAPI
PostgreSQL
Redis
Docker
OpenAI GPT
WebSocket
Celery
Apache Kafka
Grafana
PROJECT INFO
Status:
DEPLOYED
Timeline:
3 months (Feb 2024 - Apr 2024)
Role:
Full-Stack Developer & System Architect
Tech Focus:
Custom Server + AI Chatbot