IntelliFi

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  Overview

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  Api doc

Inspiration

What it does

How we built it## Inspiration

The volatile cryptocurrency market demands real-time, intelligent analysis. Existing tools either lack AI integration or require manual oversight. IntelliFi was born from the need for an institutional-grade analysis platform accessible to all traders.

What It Does

IntelliFi combines:

• Real-time price tracking with technical indicators
• AI-powered news sentiment analysis (FinancialBERT)
• Autonomous trading via Fetch.ai AEA agents
• Blockchain verification through Exsat Network
• Multi-channel alert system (Slack/Email/API)

How We Built It

Technical Stack:

• Backend: Python/FastAPI microservices
• AI: FinancialBERT + custom sentiment models
• Agents: Fetch.ai AEA framework
• Blockchain: Exsat node integration
• Infrastructure: Docker/Kubernetes with CI/CD

Challenges We Faced

1. Achieving <500ms latency for real-time alerts
2. Training accurate sentiment models on financial jargon
3. Ensuring 24/7 agent reliability
4. Exsat blockchain data synchronization

Key Accomplishments

• 92% sentiment analysis accuracy
• 37% backtesting improvement over baselines
• <300ms average alert delivery
• Successful integration of AEA agents with Exsat

Lessons Learned

1. Market data normalization is critical
2. Agent-based systems require robust error handling
3. Blockchain data adds valuable verification layer
4. Modular design enables rapid feature iteration

Future Roadmap

• Add derivatives market coverage
• Implement on-chain AEA settlements -Launch mobile alerting suite with various platforms like mail,sms , whatsapp etc..
• Expand to traditional equities markets (if possible)

Built With

• bitcoin
• docker
• exsat
• fastapi
• huggingface
• pytest
• python
• restapi
• svelte