# Munger Engine API

This project converts the Munger Stock Analysis Strategy into a deployable API for Hugging Face Spaces.

## Quick Start

### Local Development

1. Install dependencies:

   ```bash
   npm install
   ```

2. Run the development server:

   ```bash
   npm run dev
   ```

   *Note: If behind a corporate proxy or experiencing SSL issues, use:*

   ```bash
   npm run dev:insecure
   ```

3. Endpoints will be available at `http://localhost:3000/api/v1/...`

### API Endpoints

> [!TIP]
> You can import the included `munger-api.postman_collection.json` file into Postman to quickly test all endpoints.

| Method | Endpoint | Description |
| :--- | :--- | :--- |
| `GET` | `/api/v1/health` | Check system status. |
| `POST` | `/api/v1/sync` | Trigger scan. Payload: `{ "force": true, "symbols": ["AAPL"] }`. |
| `GET` | `/api/v1/signals` | Get list of filtered stocks. Query params: `signal` (e.g. BUY_TRIGGER), `interesting=true` (BUY_TRIGGER + WATCHLIST). |
| `GET` | `/api/v1/ticker/[symbol]` | Get detailed analysis for a specific stock. |
| `GET` | `/api/v1/portfolio` | Get Alpaca Paper Trading positions. |

### Usage Examples

**Trigger Scan (Full):**

```bash
curl -X POST http://localhost:3000/api/v1/sync \
  -H "Content-Type: application/json" \
  -d '{"force": true}'
```

**Trigger Scan (Specific Symbols - Ideal for Testing):**

```bash
curl -X POST http://localhost:3000/api/v1/sync \
  -H "Content-Type: application/json" \
  -d '{"symbols": ["ERIE", "AAPL"], "force": true}'
```

**Get Signals:**

```bash
curl http://localhost:3000/api/v1/signals
```

**Get Ticker Details:**

```bash
curl http://localhost:3000/api/v1/ticker/AAPL
```

## Order Execution Engine

The API uses a deterministic **Trade Plan Builder** for signals marked as `BUY_TRIGGER`.

### Advanced Logic Blueprint

* **Playbook:** `BUY_TRIGGER_REBOUND_CONFIRM` (Breakout-style Entry).
* **Risk Model:** Wilder's ATR(14) with 1:3 Risk-Reward Ratio.
  * *Risk Unit (R):* 2.0 * ATR.
* **Entry Order:** `STOP_LIMIT` (Day).
  * *Stop Price:* Trigger Level + Tick ($0.01).
  * *Limit Price:* Entry Stop + Slippage Buffer (0.75%).
  * *Expiry:* 5 Trading Days.
* **Protective Stop:** `STOP` Order (GTC).
  * *Price:* Entry - 1R.
* **Take Profit:** `LIMIT` Order (GTC).
  * *Price:* Entry + 3R.
* **Position Sizing:** Portfolio Aware (Alpaca Integration).
  * Fetches Equity & Buying Power.
  * Risks **0.5%** of Equity per trade.
  * Caps Position Size at **10%** of Equity.
  * Checks Buying Power constraints.
* **Output:** Returns a comprehensive JSON `TradePlan` including specific order parameters, risk calculation details, and sizing constraints.

### Deployment to Hugging Face Spaces

1. Create a new **Docker** Space on Hugging Face.
2. Upload this repository.
3. Set the following **Secret** variables in your Space settings:
   * `ALPACA_KEY`
   * `ALPACA_SECRET`
   * `HF_TOKEN` (optional, for future dataset integration)

The Dockerfile is configured to run the Next.js application on port 7860.


### Hugging Face Space Access

Your API is deployed and accessible at:
`https://dromerosm-munger-engine.hf.space`

**Authentication Required**
The API is protected by an API Key. All requests to `/api/*` endpoint must include the `x-api-key` header.

```bash
x-api-key: <YOUR_API_KEY>
```

**Example:**
```bash
curl -H "x-api-key: 5664955..." https://dromerosm-munger-engine.hf.space/api/v1/health
```

## Configuration

* **Watchlist**: Currently uses `scripts/sp500_symbols.json`.
* **Persistence**: Data is stored in `data/stocks.json`. **Note:** On standard HF Spaces, this data is ephemeral and will reset on restart. For production, consider using HF Datasets or an external DB.