Requirement Specification Document
Project Title: Automated ORB Breakout Trading with Webull via TradingView

1. Objective
Build an automated trading system that executes trades on Webull based on signals generated from a TradingView strategy/indicator.

2. System Overview
* TradingView (Frontend Signal Source):
o Pine Script strategy will generate buy/sell signals based on ORB breakout logic with Kalman filter confirmation.
o Signals will be sent via webhooks.
* Middleware (Integration Layer):
o A Python (preferred) or Node.js server will listen to TradingView webhook alerts.
o The server will parse JSON payloads and place trades through the Webull API.
* Broker (Execution Platform):
o All trades are executed on Webull brokerage account.
o Both stock and option orders should be supported (phase 2).

3. Functional Requirements
3.1 TradingView Strategy / Indicator
* Detect ORB breakout (first 5 min range).
* Confirmation via Kalman filters (2 EMAs approximation).
* Trading rules:
o Buy 2 shares/contracts on breakout.
o Scale out:
* Exit 1 unit at PT1 ($X profit).
* Exit 2nd unit at PT2 ($Y profit).
o Stop Loss = ORB mid-level.
o Forced exit of open position at 2:57 PM.
* Generate alerts:
o BUY signal
o SELL signal
o EXIT signal (when TP/SL or time exit occurs)
* Each alert should include structured JSON:
* {
*   "signal": "BUY",
*   "ticker": "{{ticker}}",
*   "qty": 2,
*   "strategy": "ORB_Kalman",
*   "timestamp": "{{timenow}}"
* }

3.2 Middleware / Bridge
* Technology: Python (Flask/FastAPI) or Node.js (Express).
* Endpoints:
o /webhook ? POST endpoint to receive TradingView alerts.
* Functions:
o Parse incoming JSON.
o Authenticate with Webull API.
o Place orders:
* Market Buy/Sell
* Stop Loss order at ORB midpoint
* Profit Target orders (bracket orders if possible)
o Log all requests/responses (for debugging).
o Handle errors & retries (e.g., failed API call).

3.3 Webull API Integration
* Use unofficial Webull Python SDK (https://pypi.org/project/webull/).
* Requirements:
o Login & session refresh (MFA handling must be considered).
o Place stock orders (BUY / SELL) with specified quantity.
o Phase 2: Support option orders (needs contract ID lookup).

4. Non-Functional Requirements
* Security:
o No credentials hardcoded; must use environment variables or config file.
o HTTPS webhook endpoint (via ngrok or hosted server).
* Scalability: Should handle at least 10 alerts per minute.
* Reliability: Must ensure trades are executed only once per signal (idempotency).
* Logging: Save all alerts + execution status into log file or DB.

5. Deliverables
1. Pine Script strategy with alertconditions.
2. Python/Node.js middleware:
o Webhook listener
o Webull trade executor
o Logging system
3. Documentation:
o How to deploy middleware (local + ngrok / cloud VPS)
o How to configure TradingView alerts
o How to test trades with paper trading before going live

6. Future Enhancements (Phase 2)
* Options trading (nearest Friday expiry selection logic).
* Telegram/Slack notifications for each trade.
* Multi-account support.
* Dashboard to monitor trades.