Agent Skills › AlphaGBM/skills › alphagbm-options-score

alphagbm-options-score

GitHub

基于AlphaGBM多因子模型对期权合约进行评分与排名，涵盖买卖看涨/看跌策略。评估流动性、IV吸引力及希腊值平衡，输出最佳风险收益比的合约建议，辅助交易决策。

skills/alphagbm-options-score/SKILL.md AlphaGBM/skills

Trigger Scenarios

查询特定股票的期权评分寻找最佳行权价或到期日按质量对期权链进行排名评估买入或卖出期权的可行性

Install

npx skills add AlphaGBM/skills --skill alphagbm-options-score -g -y

More Options

Use without installing

npx skills use AlphaGBM/skills@alphagbm-options-score

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-options-score -a claude-code -g -y

安装 repo 全部 skill

npx skills add AlphaGBM/skills --all -g -y

预览 repo 内 skill

npx skills add AlphaGBM/skills --list

SKILL.md

Frontmatter

{
    "name": "alphagbm-options-score",
    "globs": [
        "mock-data\/*.json"
    ],
    "description": "Score and rank options contracts for any ticker using AlphaGBM's multi-factor scoring model (liquidity, IV attractiveness, Greeks balance, risk\/reward). Returns scored option chains with the best contracts highlighted. Use when: evaluating which option to trade, finding the best strike\/expiry, ranking options by quality. Triggers on: \"score AAPL options\", \"best options for NVDA\", \"which TSLA call should I buy\", \"option chain for SPY\", \"rank META puts\".\n"
}

AlphaGBM Options Score

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

Scores every option contract in a chain using a multi-factor model across 4 strategy types, so you instantly know which contracts have the best risk/reward profile.

Strategy Scoring Models

Sell Put Weights

Factor	Weight	Description
premium_yield	20%	Annualized return from premium
support_strength	20%	Proximity to key support levels
safety_margin	15%	ATR-adjusted OTM buffer
trend_alignment	15%	Downtrend = 100, Uptrend = 30
probability_profit	15%	Black-Scholes prob of expiring OTM
liquidity	10%	Volume + OI + spread
time_decay	5%	20-45 DTE optimal

Sell Call Weights

Factor	Weight
premium_yield	20%
resistance_strength	20%
trend_alignment	15%
upside_buffer	15%
liquidity	10%
is_covered	10%
time_decay	5%
overvaluation	5%

Buy Call Weights

Factor	Weight
bullish_momentum	25%
breakout_potential	20%
value_efficiency	20%
volatility_timing	15%
liquidity	10%
time_optimization	10%

Buy Put Weights

Factor	Weight
bearish_momentum	25%
support_break	20%
value_efficiency	20%
volatility_expansion	15%
liquidity	10%
time_value	10%

Score Scale

80-100: Exceptional — top-tier opportunity
60-79: Strong — good trade candidate
40-59: Average — proceed with caution
0-39: Poor — avoid unless hedging

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

API Endpoints

Get Option Expirations

GET /api/options/expirations/<SYMBOL>

Option Chain Analysis -- Synchronous

POST /api/options/chain-sync
Content-Type: application/json

{"symbol": "AAPL", "expiry_date": "2026-04-17"}

Add ?compact=true for condensed response.

Response includes for each of 4 strategies (Sell Put, Sell Call, Buy Call, Buy Put):

Top 10 recommendations sorted by score (0-100)
Score breakdown: premium_yield, support/resistance_strength, safety_margin, trend_alignment, probability_profit, liquidity, time_decay
ATR safety info (safety_ratio, atr_multiples, is_safe)
Risk-return profile: style, risk_level, win_probability
Trend analysis: direction, strength, alignment score

Option Chain Analysis -- Async

POST /api/options/chain-async
Content-Type: application/json

{"symbol": "TSLA", "expiry_date": "2026-04-17"}

Returns {"task_id": "uuid"}. Poll with: GET /api/tasks/<task_id>.

Enhanced Single-Option Analysis -- Sync

POST /api/options/enhanced-sync
Content-Type: application/json

{"symbol": "AAPL", "option_identifier": "AAPL260417C00190000"}

Enhanced Single-Option Analysis -- Async

POST /api/options/enhanced-async
Content-Type: application/json

{"symbol": "AAPL", "option_identifier": "AAPL260417C00190000"}

Reverse Score

Score a specific contract from known parameters:

POST /api/options/reverse-score
Content-Type: application/json

{"symbol": "AAPL", "option_type": "CALL", "strike": 190, "expiry_date": "2026-02-16", "option_price": 2.50, "implied_volatility": 28}

Batch Chain Analysis

POST /api/options/chain/batch
Content-Type: application/json

{"symbols": ["AAPL", "NVDA"], "expiries": ["2026-04-17", "2026-05-15"]}

Max 3 symbols x 2 expiries per request.

IV Snapshot (instant, no quota cost)

GET /api/options/snapshot/<SYMBOL>

Returns: ATM IV, IV Rank, HV 30d, VRP, VRP level.

Daily Recommendations (no auth required)

GET /api/options/recommendations?count=5

Typical Workflow

Get expirations: GET /api/options/expirations/AAPL
Quick IV check: GET /api/options/snapshot/AAPL (free, no quota)
Run chain analysis: POST /api/options/chain-sync with symbol + expiry
Drill into a specific contract: POST /api/options/enhanced-sync with option_identifier
Compare across tickers: POST /api/options/chain/batch for multi-symbol analysis

Quota

Free: 1 options analysis/day
Plus: 1,000/month
Pro: 5,000/month
Snapshot and recommendations endpoints cost nothing.

Output Formatting Tips

Scores are 0-100; present top picks in a table sorted by score descending.
Always show the score breakdown factors so users understand why a contract scored well.
Highlight ATR safety info (is_safe flag) prominently for sell strategies.
Include the risk-return style label (steady_income, balanced, etc.) for quick context.

Example Queries

User Says	What Happens
"Score AAPL options"	Full chain with scores, top picks highlighted
"Best NVDA call to buy"	Filtered to calls, sorted by score descending
"TSLA puts for next Friday"	Filtered by expiry + type
"Which SPY option has the best risk/reward?"	Sorted by risk_reward factor

Mock Data

Demo tickers available without API key: AAPL, NVDA, SPY, TSLA, META. Uses realistic option chain snapshots from mock-data/.

Related Skills

alphagbm-stock-analysis -- Analyze the underlying stock first
alphagbm-options-strategy -- Build multi-leg strategies with top-scored contracts
alphagbm-greeks -- Deep-dive into Greeks for a specific contract
alphagbm-vol-surface -- See if IV is cheap or expensive across strikes

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