AI-powered swap trading monitoring system using CrewAI multi-agent framework.

🌐 Live Demo: prism.lisekarimi.com

PRISM monitors USD SOFR swap trading positions in real-time and automatically generates trading signals when profit/loss thresholds are hit.

Note: This demo is specifically configured for USD SOFR (Secured Overnight Financing Rate) swaps only.

5 AI Agents working together:

1. Market Data Agent - Fetches current USD SOFR swap rates (2Y, 5Y, 10Y, 30Y)
2. Position Manager Agent - Loads trader's swap positions from database
3. Risk Manager Agent - Analyzes market conditions and sets dynamic profit/loss thresholds
4. Risk Calculator Agent - Calculates P&L for each position
5. Trading Decision Agent - Generates CLOSE/HOLD signals based on thresholds

Thresholds:

• Close position when profit ≥ $50K
• Close position when loss ≤ -$25K
• Otherwise HOLD

• CrewAI - Multi-agent orchestration
• PostgreSQL - Position & rate storage (Neon)
• Gradio - Web dashboard
• Python 3.11 - Runtime

This app is built to run as a Docker Space on Hugging Face.

• Fork this repo on GitHub
• Create a new Space on huggingface.co/spaces with Docker as the SDK
• Link it to your forked GitHub repo

In your Space settings → Variables and Secrets, add:

Push to your linked branch — HF Spaces will build and deploy automatically.

Prerequisites:

• Python 3.11+
• uv package manager
• Docker Desktop
• PostgreSQL database (free tier at neon.tech)
• OpenAI API key
• Serper API key

Setup:

git clone https://github.com/lisekarimi/prism.git
cd prism
cp .env.example .env  # fill in your credentials
make dev

• swap_positions - Trader's swap portfolio
• market_rates - Historical rate data
• trade_signals - AI-generated trading decisions