Claude/eager einstein 3fiz8o

.claude/settings.json → .claude/settings.local.json

@@ -3,5 +3,10 @@
     "frontend-design@claude-plugins-official": true,
     "context7@claude-plugins-official": true,
     "playwright@claude-plugins-official": true
+  },
+  "sandbox": {
+    "enabled": true,
+    "autoAllowBashIfSandboxed": true,
+    "allowUnsandboxedCommands": true
   }
 }

.github/workflows/claude-code-review.yml

@@ -38,7 +38,8 @@ jobs:
           claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
           plugin_marketplaces: 'https://github.com/anthropics/claude-code.git'
           plugins: 'code-review@claude-code-plugins'
-          prompt: '/code-review:code-review ${{ github.repository }}/pull/${{ github.event.pull_request.number }}'
+          prompt: '/code-review:code-review --comment ${{ github.repository }}/pull/${{ github.event.pull_request.number }}'
+          claude_args: '--allowedTools "mcp__github_inline_comment__create_inline_comment"'
           # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
           # or https://code.claude.com/docs/en/cli-reference for available options
 

.github/workflows/claude.yml

@@ -46,5 +46,5 @@ jobs:
           # Optional: Add claude_args to customize behavior and configuration
           # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
           # or https://code.claude.com/docs/en/cli-reference for available options
-          # claude_args: '--allowed-tools Bash(gh pr:*)'
+          # claude_args: '--allowed-tools Bash(gh pr *)'
 

README.md

@@ -1,60 +1,50 @@
 # FinAlly — AI Trading Workstation
 
-A visually stunning AI-powered trading workstation that streams live market data, simulates portfolio trading, and integrates an LLM chat assistant that can analyze positions and execute trades via natural language.
+A visually stunning AI-powered trading workstation that will stream live market data, simulate portfolio trading, and integrate an LLM chat assistant that can analyze positions and execute trades via natural language.
 
-Built entirely by coding agents as a capstone project for an agentic AI coding course.
+Built entirely by coding agents as a capstone project for an agentic AI coding course. Full specification: [`planning/PLAN.md`](planning/PLAN.md).
 
-## Features
+## Status
 
-- **Live price streaming** via SSE with green/red flash animations
-- **Simulated portfolio** — $10k virtual cash, market orders, instant fills
-- **Portfolio visualizations** — heatmap (treemap), P&L chart, positions table
-- **AI chat assistant** — analyzes holdings, suggests and auto-executes trades
-- **Watchlist management** — track tickers manually or via AI
-- **Dark terminal aesthetic** — Bloomberg-inspired, data-dense layout
+🚧 In progress. The **market data subsystem** (GBM simulator, price cache, SSE streaming interface) is built and tested in `backend/`. The FastAPI app, database, LLM chat integration, Next.js frontend, and Docker packaging described in the plan are not yet implemented.
 
-## Architecture
+## Planned Features
+
+- Live price streaming via SSE with green/red flash animations
+- Simulated portfolio — $10k virtual cash, market orders, instant fills
+- Portfolio visualizations — heatmap (treemap), P&L chart, positions table
+- AI chat assistant — analyzes holdings, suggests and auto-executes trades
+- Watchlist management — track tickers manually or via AI
+- Dark terminal aesthetic — Bloomberg-inspired, data-dense layout
+
+## Planned Architecture
 
 Single Docker container serving everything on port 8000:
 
 - **Frontend**: Next.js (static export) with TypeScript and Tailwind CSS
 - **Backend**: FastAPI (Python/uv) with SSE streaming
 - **Database**: SQLite with lazy initialization
 - **AI**: LiteLLM → OpenRouter (Cerebras inference) with structured outputs
-- **Market data**: Built-in GBM simulator (default) or Massive API (optional)
+- **Market data**: Built-in GBM simulator (default) or Massive API (optional) — see [`planning/MARKET_DATA_SUMMARY.md`](planning/MARKET_DATA_SUMMARY.md)
 
-## Quick Start
+## Running What Exists Today
 
 ```bash
-# Clone and configure
-cp .env.example .env
-# Add your OPENROUTER_API_KEY to .env
-
-# Run with Docker
-docker build -t finally .
-docker run -v finally-data:/app/db -p 8000:8000 --env-file .env finally
-
-# Open http://localhost:8000
+cd backend
+uv sync --extra dev
+uv run pytest -v              # run the market data test suite
+uv run market_data_demo.py    # live terminal dashboard of simulated prices
 ```
 
-## Environment Variables
-
-| Variable | Required | Description |
-|---|---|---|
-| `OPENROUTER_API_KEY` | Yes | OpenRouter API key for AI chat |
-| `MASSIVE_API_KEY` | No | Massive (Polygon.io) key for real market data; omit to use simulator |
-| `LLM_MOCK` | No | Set `true` for deterministic mock LLM responses (testing) |
+See [`backend/README.md`](backend/README.md) and [`backend/CLAUDE.md`](backend/CLAUDE.md) for details.
 
 ## Project Structure
 
 ```
 finally/
-├── frontend/    # Next.js static export
-├── backend/     # FastAPI uv project
-├── planning/    # Project documentation and agent contracts
-├── test/        # Playwright E2E tests
-├── db/          # SQLite volume mount (runtime)
-└── scripts/     # Start/stop helpers
+├── backend/     # FastAPI uv project (market data subsystem complete; API/DB/LLM pending)
+├── planning/    # Project specification and agent-facing docs
+└── (frontend/, test/, scripts/, db/, Dockerfile — planned, not yet present)
 ```
 
 ## License