See what options are pricing in — with real data, not guesswork.
26 AI skills for options & research intelligence · Built on real market data · Trusted by 10,000+ traders
Website · Documentation · Quick Start · Contributing
git clone https://github.com/AlphaGBM/skills.git .claude/skills/alphagbmThen ask your AI: "Analyze AAPL options using AlphaGBM" — works instantly with built-in data, no API key needed.
AlphaGBM is a real-data options & research intelligence layer for traders and AI agents. Every number comes from real market data -- IV, Greeks, VRP, skew, flow, plus a tracked research workspace -- not LLM hallucination.
These 26 skills bring AlphaGBM's capabilities into your AI workflow: Claude Code, Cursor, Windsurf, or any agent that supports skills.
| LLM Roleplay Tools | Generic Finance APIs | AlphaGBM | |
|---|---|---|---|
| Data Source | LLM-generated | Delayed/basic | Real-time options data |
| Verifiable | "85% confidence" | Partial | Every number has a source |
| Options Depth | None | Basic chain | IV/HV/VRP/Greeks/Skew/Surface |
| Scoring | Subjective | None | Quantitative scoring (0-100 options, 1-10 stocks) |
| Analysis Model | None | None | G = B + M (Gain = Basics + Momentum) |
| Battle-tested | No | Varies | 10K users, 3mo live trading |
| Coverage | US only | Varies | US + HK + CN + Commodities |
# Clone into your project
git clone https://github.com/AlphaGBM/skills.git .claude/skills/alphagbm
# Or add as submodule
git submodule add https://github.com/AlphaGBM/skills.git .claude/skills/alphagbmgit clone https://github.com/AlphaGBM/skills.git .cursor/skills/alphagbm# Clone and install
git clone https://github.com/AlphaGBM/skills.git
cd skills/cli
pip install -e .
# Set your API key
alphagbm config set-key agbm_xxxxxxxxxxxxxxxx
# Start analyzing
alphagbm stock analyze AAPL
alphagbm options score NVDASee cli/README.md for full CLI documentation.
All skills include built-in demo data for AAPL, NVDA, SPY, TSLA, and META. Just ask your AI:
"Analyze AAPL stock using AlphaGBM" "Score NVDA options" "Show me TSLA's volatility surface" "What's the best bullish strategy for META?"
# Set your API key for real-time data
export ALPHAGBM_API_KEY=agbm_xxxxxxxxxxxxxxxx
export ALPHAGBM_BASE_URL=https://alphagbm.zeabur.app # optional, this is the default
# Get your free key at https://alphagbm.com/api-keyscurl https://alphagbm.zeabur.app/api/healthReturns API status, available data fields, data source health, and market coverage — no auth needed. Useful for AI agents to verify what's available before making calls.
| Plan | Stock Analysis | Options Analysis | Quick Quote / Snapshot |
|---|---|---|---|
| Free | 2/day | 1/day | Unlimited |
| Plus | 1,000/month | 1,000/month | Unlimited |
| Pro | 5,000/month | 5,000/month | Unlimited |
| Skill | What It Does | Example Query |
|---|---|---|
| Stock Analysis | G=B+M model: fundamentals, momentum, EV, risk score, AI report | "Analyze AAPL" |
| Options Score | Score 0-100 across 4 strategies (Sell Put/Call, Buy Put/Call) | "Best NVDA call to buy" |
| Options Strategy | Strategy builder + scanner with 15+ templates | "Bullish play on TSLA" |
| Vol Surface | 3D implied volatility across strikes & expiries | "Is AAPL IV expensive?" |
| Vol Smile | Skew analysis for a single expiration | "NVDA put skew" |
| Greeks | Greeks calculator + implied volatility solver | "Greeks for AAPL 220C" |
| P&L Simulator | What-if analysis for any position | "Simulate my iron condor" |
| Skill | What It Does | Example Query |
|---|---|---|
| IV Rank | IV percentile vs. 252-day history | "Is TSLA IV high?" |
| Earnings IV Panel | Crush history + implied move + IV Rank tag + priced Iron Condor | "Iron Condor for META earnings" |
| Unusual Activity | Smart money / large block detection | "Unusual options flow today" |
| Market Sentiment | VIX, Put/Call, Fear & Greed dashboard | "Market sentiment now" |
| VIX Status ✨ | 5-tier fear thermometer: calm / normal / seller sweet spot / caution / extreme fear | "Is this a good time for BPS?" |
| FearScore ✨ | Per-ticker 6-indicator panic composite; ≥60 is BPS entry signal | "Fear score QQQ", "is NVDA oversold" |
| Skill | What It Does | Example Query |
|---|---|---|
| Compare | Side-by-side stock & options comparison | "AAPL vs MSFT" |
| Watchlist | Monitor tickers for key changes | "Add NVDA to watchlist" |
| Alert | Set IV, price, or activity alerts | "Alert if TSLA IV > 80" |
| Polymarket | Prediction market vs. options pricing | "Rate cut odds vs options" |
Exit, hedge, and sizing decisions quantified from real data — not opinion.
| Skill | What It Does | Example Query |
|---|---|---|
| Hedge Advisor ✨ | Scenario-driven hedge for an existing position (Falling Knife / Bottom Fishing / Gain Protection); returns priced Long Put / Collar / Tier-down specs | "Hedge my AAPL at cost 140, now 180" |
| BPS Backtest ✨ | Walk-forward backtest of Bull Put Spread with signal vs no-signal control in one call | "Backtest BPS on QQQ — does FearScore work?" |
| Take-Profit Lab ✨ | Any-ticker 15-strategy exit backtest; auto-classifies whether it's holdable or needs tiered exit via a novel "rollercoaster rate" metric | "Should I hold TQQQ long-term?" |
| Duan-Yongping Analysis ✨ | Three-panel seller playbook (Sell Put at willing-buy price / Covered Call yield / VIX-tier panic-buy context) | "Duan-style analysis on AAPL" |
Build a personal, monitored research workspace. Profiles auto-refresh, theses get checked against triggers, the system audits itself weekly.
| Skill | What It Does | Example Query |
|---|---|---|
| Company Profile | Auto-built research files: fundamentals, PE/PB band, red flags, event radar | "Add NVDA to my knowledge base" |
| Investment Thesis | Buy reasons + structured sell triggers, monitored automatically | "Why did I buy AAPL?" |
| Macro View | Track VIX / US10Y / DXY / gold with portfolio-aware impact analysis | "Track VIX and US10Y" |
| Theme Research | Group tickers into themes (AI infra, HK dividend) + news keyword watching | "Create an AI infra theme" |
| Health Check | Weekly audit: stale profiles, thesis drift, orphan pages → 0-100 score | "Audit my research brain" |
- Investment Masters -- 10 masters' methodologies (Buffett, Dalio, Soros, Marks...) + 13F tracking
You / Your AI Agent
| (natural language)
+------------------------------------------------------+
| AlphaGBM Skills (this repo) |
| |
| Stock Options Vol Strategy Greeks ... |
| Analysis Score Surface Builder Dashboard |
+-------------------------+-----------------------------+
|
+----------+----------+
v v
Mock Data AlphaGBM API
(built-in, free) (alphagbm.zeabur.app)
Real-time market data
IV/HV/VRP/Greeks/Skew
Skills aren't isolated -- they reference each other to form a complete workflow:
Stock Analysis --> Options Score --> Options Strategy --> P&L Simulator
| | |
v v v
Compare Vol Surface Greeks
Vol Smile
IV Rank --> Earnings Crush
Market Sentiment --> Unusual Activity --> Alert
Watchlist
Polymarket --> Market Sentiment --> Options Strategy
| Market | Stocks | Options | Data Points |
|---|---|---|---|
| US | 200+ | Full chains | IV/HV/VRP/Greeks/Skew/Surface |
| HK | 35+ | Full chains | IV/HV/VRP/Greeks |
| CN | 20+ ETFs | Full chains | IV/HV/VRP/Greeks |
| Commodities | Au/Ag/Cu/Al | Futures options | IV/Greeks/Delivery risk |
Every number in AlphaGBM is verifiable:
| Metric | Value | How It's Computed |
|---|---|---|
| IV | 32.5% | Black-Scholes on actual bid/ask prices |
| IV Rank | 58 | Current IV vs. 252 trading days of history |
| VRP | +4.0% | Implied Vol - Historical Vol — measures option overpricing |
| Option Score | 80/100 | Weighted: premium yield + support/resistance + safety margin + trend + PoP + liquidity + time decay |
| Stock Score | 7.0/10 | G = B + M — Basics (PE, PEG, growth, margins) + Momentum (VIX, technicals, flow) |
| Risk | 4/10 | Additive: valuation +2, growth +2, liquidity +2, market +1.5, technical +1 |
| EV | +5.2% | 50% × 1w + 30% × 1m + 20% × 3m expected value |
This is not "based on my training data" or "I estimate with 85% confidence."
This is math on market data.
You: "Analyze AAPL, then find the best options play"
The agent chains skills automatically:
1. GET /api/stock/quick-quote/AAPL → $261.40 (-0.8%)
2. POST /api/stock/analyze-sync → G=B+M score 7.0/10, EV +5.2%, BUY
{"ticker": "AAPL", "style": "balanced"} Risk 4/10, target $275, stop-loss $239
3. GET /api/options/snapshot/AAPL → IV 32.5%, IV Rank 58, VRP +4.0%
4. POST /api/options/chain-sync → Sell Put scores: 80, 78, 75...
{"symbol": "AAPL", "expiry_date": "..."} Buy Call scores: 76, 74, 72...
5. POST /api/options/tools/strategy/build → Bull Call Spread 265/280
{"template_id": "bull_call_spread"} Max profit $1085, max loss $415
6. POST /api/options/tools/simulate → Breakeven $269.15, PoP 44.5%
{"symbol": "AAPL", "legs": [...]}
You: "Is that IV expensive?"
7. GET /api/options/snapshot/AAPL → IV Rank 58 (moderate)
8. GET /api/options/tools/vol-surface/AAPL → ATM IV in contango, earnings in 26d
All from real API calls. All verifiable.
- 26 Skills with mock data
- Claude Code & Cursor support
- CLI tool (
pip install -e ./cli) - Real-time WebSocket feeds
- Community strategy sharing
- More markets (EU, JP, KR options)
See CONTRIBUTING.md for guidelines. We welcome:
- Bug reports & feature requests
- Skill improvements & new skill proposals
- Translations (currently EN + CN)
- Mock data for additional tickers
MIT -- see LICENSE.
- alphagbm.com -- Full platform with live data
- API Documentation
- Discord Community
- Twitter/X
Built by the AlphaGBM team. Trusted by 10,000+ traders worldwide.
Real data. Real signals. Real edge.