alphagbm-options-strategy

name	alphagbm-options-strategy
description	Recommends optimal multi-leg option strategies based on your market view (bullish, bearish, neutral, volatile). Supports 15+ strategy templates including spreads, condors, straddles, and income plays. Returns full P&L profile, breakevens, and probability of profit. Use when: choosing an options strategy, planning a trade around earnings, building a multi-leg position, comparing strategy alternatives. Triggers on: "options strategy for AAPL", "bullish strategy NVDA", "what's the best play on TSLA earnings", "iron condor SPY", "bear put spread META", "income strategy for GOOGL", "neutral play on QQQ".
globs	["mock-data/*.json"]

AlphaGBM Options Strategy

Prerequisites

• API Key: Set env ALPHAGBM_API_KEY (format agbm_xxxx...).
• Base URL: Default https://alphagbm.zeabur.app. Override with env ALPHAGBM_BASE_URL.

What This Skill Does

Given a market view and a ticker, recommends the best multi-leg option strategies ranked by risk/reward profile. Selects optimal strikes and expirations automatically using AlphaGBM's scoring engine.

Four Core Strategies and Trend Alignment

Strategy	Ideal Trend	Max Profit	Max Loss
Sell Put	Neutral / Bullish	Premium received	Strike - Premium (assignment risk)
Sell Call	Neutral / Bearish	Premium received	Unlimited (uncovered)
Buy Call	Bullish	Unlimited	Premium paid
Buy Put	Bearish	Strike - Premium	Premium paid

Trend alignment scoring: The scoring model rewards contracts that match the prevailing trend. For Sell Put, a downtrend scores 100 (counter-intuitive: you want to sell puts into weakness for higher premium), while an uptrend scores 30. For Buy Call, bullish momentum is weighted at 25%.

Supported Strategy Templates (15+)

Category	Strategies
Bullish	Bull Call Spread, Bull Put Spread, Long Call, Covered Call, Synthetic Long
Bearish	Bear Put Spread, Bear Call Spread, Long Put, Synthetic Short
Neutral	Iron Condor, Iron Butterfly, Short Straddle, Short Strangle, Calendar Spread
Volatile	Long Straddle, Long Strangle, Butterfly Spread, Reverse Iron Condor
Income	Covered Call, Cash-Secured Put, Collar, Jade Lizard

Risk-Return Profiles

Style	Typical Win Rate	Typical Return
steady_income	65-80%	1-5%/month
balanced	40-55%	50-200%
high_risk_high_reward	20-40%	2-10x
hedge	30-50%	0-1x

Strategy Selection Logic

1. Match user's market view to candidate strategies
2. Filter by IV environment (high IV favors selling premium; low IV favors buying)
3. Score each candidate using risk/reward, probability of profit, and capital efficiency
4. Rank and return the top 3 recommendations with full details

API Endpoints

Strategy Templates

List all available strategy templates:

GET /api/options/tools/strategy/templates

Strategy Builder

Build a strategy from a template with specific parameters:

POST /api/options/tools/strategy/build
Content-Type: application/json

{
  "mode": "template",
  "template_id": "bull_call_spread",
  "spot": 150.0,
  "expiry_days": 30,
  "strikes": [140, 145, 150, 155, 160]
}

Options Scanner

Scan across tickers for strategies matching your criteria:

POST /api/options/tools/scan
Content-Type: application/json

{
  "strategies": ["covered_call", "cash_secured_put"],
  "tickers": ["AAPL", "NVDA"],
  "min_yield_pct": 1.0
}

How to Use

Input

• Required: Ticker symbol + market view (bullish / bearish / neutral / volatile)
• Optional: Max capital, target expiration, risk tolerance (conservative / moderate / aggressive)

Output Structure

{
  "ticker": "AAPL",
  "price": 218.45,
  "market_view": "bullish",
  "iv_environment": "moderate",
  "recommendations": [
    {
      "strategy": "Bull Call Spread",
      "rank": 1,
      "score": 8.5,
      "legs": [
        {"action": "buy", "type": "call", "strike": 215, "expiry": "2026-04-18", "price": 7.20},
        {         
      
       
       
       
       
       
       
       
         
         
         
         
      
       
    
  

Example Queries

User Says	What Happens
"Options strategy for AAPL"	Infers view from stock analysis, returns top 3 strategies
"Bullish strategy NVDA"	Filters to bullish strategies, ranks by score
"Best play on TSLA earnings"	Selects volatile strategies (straddle, strangle) for event
"Iron condor SPY"	Builds an iron condor with optimal strikes and returns full profile
"Income strategy GOOGL"	Filters to covered call, cash-secured put, collar
"Conservative bearish play on META"	Bear put spread or collar with tight risk parameters

Mock Data

Demo tickers available without API key: AAPL, NVDA, SPY, TSLA, META. Strategy recommendations use realistic chain data from mock-data/.

Related Skills

• alphagbm-options-score -- Scores the individual contracts used in each leg
• alphagbm-pnl-simulator -- Simulate P&L over time for any recommended strategy
• alphagbm-greeks -- Deep-dive into position Greeks for the chosen strategy
• alphagbm-iv-rank -- Check if IV environment favors buying or selling premium

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