This project is no longer actively developed. Chat with Fundamentals has been superseded by QuantMar, which unifies factor analysis, strategy SDK, backtesting, and live deployment into a single framework. See the Solutions page for details.
The previous version (v1) is preserved on the
legacy/v1branch.
Universe-based factor analysis platform. Create scoped datasets ("universes") from ETF holdings or sector screens, ingest OHLCV + fundamentals via EODHD, and analyze data through a chat-driven code agent that writes and executes Python in a sandboxed environment.
Frontend (Next.js 14 + Tailwind) Port 3006
Pages: Home | Create Universe | Workspace | Settings
Charts: lightweight-charts v5 (candlestick, line)
│
│ REST + WebSocket
▼
Backend (FastAPI) Port 8001
4 routers: universes | chat | settings | health
LLM: qwen2.5-coder:14b (Ollama) + Claude (Anthropic fallback)
Sandbox: Docker container for code execution
│
▼
Data Layer
TimescaleDB 15 (port 5435) — one DB per universe + registry
Redis 7 (port 6381) — caching
- Universe creation from ETF holdings (SPY, QQQ, XLK, ...) or EODHD sector screens
- Multi-granularity OHLCV ingestion (daily, 1h, 5m) with TimescaleDB hypertables
- Fundamentals ingestion — 50+ fields per ticker (valuation, profitability, balance sheet, cash flow)
- Code agent chat — ask questions in natural language, LLM generates Python, executes in Docker sandbox
- Three agent types: fundamentals query, factor library (Piotroski F-Score, momentum, value), ML training
- Output formatting — LLM-formatted markdown tables with color-coded cells, raw output toggle
- Collapsible syntax-highlighted code blocks in chat
- Zustand state management — 4 stores (universe, chat, workspace, settings)
| Source | Method | Example |
|---|---|---|
| ETF Holdings | EODHD ETF_Data::Holdings |
SPY → 50 tickers (NVDA, AAPL, MSFT, ...) |
| Sector Screen | EODHD Screener API | Healthcare → up to 1000 tickers |
# 1. Infrastructure
docker compose up -d # TimescaleDB + Redis
# 2. Backend
cd backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env # Set EODHD_API_KEY, ANTHROPIC_API_KEY
uvicorn main:app --port 8001 --reload
# 3. Sandbox image (for code execution)
cd backend/sandbox && docker build -t cwf-sandbox .
# 4. Frontend
cd frontend
npm install
npx next dev -p 3006Or use the launch script:
./launch.sh start # starts everything
./launch.sh status # check health
./launch.sh stop # tear down| Layer | Technology |
|---|---|
| Frontend | Next.js 14, Tailwind CSS, Zustand, lightweight-charts v5, prism-react-renderer |
| Backend | FastAPI, SQLAlchemy 2.0 (async), Pydantic v2 |
| Database | TimescaleDB 15 (PostgreSQL), Redis 7 |
| LLM | Ollama (qwen2.5-coder:14b) + Anthropic Claude (fallback) |
| Sandbox | Docker (Python 3.12 + pandas/numpy/scikit-learn/matplotlib) |
| Data | EODHD API (screener, OHLCV, fundamentals, ETF holdings) |
backend/
main.py # FastAPI app (4 routers)
agents/ # LLM pipeline, prompts, validation, retry
database/ # Universe registry + per-universe DB manager
ingestion/ # EODHD data populator (sector + ETF)
routers/ # universes, chat, settings, health
sandbox/ # Docker-based code execution
services/ # Universe + chat agent services
frontend/
pages/ # index, universe/new, universe/[id], settings
components/ # charts, workspace tabs, universe cards
stores/ # Zustand (universe, chat, workspace, settings)
types/ # TypeScript interfaces
| Method | Path | Description |
|---|---|---|
| POST | /api/universes |
Create universe (ETF or sector) |
| GET | /api/universes |
List all universes |
| GET | /api/universes/{id} |
Universe detail + tickers |
| DELETE | /api/universes/{id} |
Delete universe + drop DB |
| POST | /api/universes/{id}/refresh |
Re-ingest data |
| GET | /api/universes/{id}/progress |
Ingestion progress |
| GET | /api/universes/{id}/data/ohlcv |
Query OHLCV |
| GET | /api/universes/{id}/data/fundamentals |
Query fundamentals |
| POST | /api/universes/{id}/chat |
Code agent chat |
| GET | /api/health |
System health |
Apache 2.0 — see LICENSE.