Implement AI-powered options trading platform with risk management and order staging

[Copilot]

Built enterprise-grade options trading system that converts natural language commands into validated trading strategies with built-in risk controls and multi-stage order approval.

Core Components

• AI NLP Processor (ai/nlp_processor.py): OpenAI GPT-4 integration with rule-based fallback for parsing commands into structured trading strategies
• Strategy Engine (trading/strategy_engine.py): Validates and analyzes single options, vertical spreads, and multi-leg strategies with risk/reward calculations
• Risk Manager (risk/risk_manager.py): Enforces position size limits, portfolio exposure caps, daily loss limits; calculates 0-100 risk scores
• Order Stager (orders/order_stager.py): Multi-stage approval workflow (pending → staged → approved → submitted → filled) with complete audit trail
• Market Data Provider (market_data/provider.py): Yahoo Finance integration with price caching and option chain retrieval
• Main Bot (core/bot.py): Orchestrates all components through unified API

Usage

from emo_options_bot import EMOOptionsBot

bot = EMOOptionsBot()

# Natural language → validated strategy
result = bot.process_command("Buy 1 AAPL call at $150")

if result["success"]:
    print(f"Risk Score: {result['risk_assessment']['risk_score']}/100")
    bot.approve_strategy(result['strategy_id'])

CLI also available:

emo-bot interactive
EMO> Buy 1 AAPL call at $150

Configuration

Risk parameters configurable via Pydantic models:

• max_position_size: Per-trade capital limit
• max_portfolio_exposure: Total portfolio limit
• max_loss_per_trade/day: Loss thresholds
• enable_risk_checks: Toggle enforcement

Testing & Documentation

• 29 unit/integration tests covering all core workflows
• 28,300+ words across README, quickstart, contributing, and security docs
• 3 runnable examples (basic, advanced spreads, risk configuration)
• CI/CD with GitHub Actions (Python 3.9-3.11, security scanning)
• Zero dependency vulnerabilities, CodeQL clean

Architecture

Natural Language → NLP Parser → Strategy Validator → Risk Assessment 
                                                    ↓
                                            Order Staging → Approval

Data models use Pydantic for type safety. All components operate independently and communicate via well-defined interfaces.

Original prompt

EMO Options Bot - AI-Powered Intelligent Trading System
🎯 What We're Building
An enterprise-grade, AI-driven options trading platform that transforms natural language into intelligent trading strategies with built-in risk management and order staging capabilities.

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