Options Strategy Advisor
Simulate options strategies with Black-Scholes pricing and Greeks: covered calls, protective puts, spreads, iron condors, and earnings plays, with max profit, max loss, and position sizing.
- What
- Simulate options strategies with Black-Scholes pricing and Greeks: covered calls, protective puts, spreads, iron condors, and earnings plays, with max profit, max loss, and position sizing.
- Cost
- Free
- Needs
- Use "Options Strategy Advisor" with your Muse.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
⚠️ **Trading warning / Avertissement trading** : informational and educational only, not investment advice. Options are leveraged instruments that can expire worthless; you can lose your entire premium. Curated by Skill Harbor: an options strategy workbench built on theoretical models rather than live market data subscriptions. Its Black-Scholes scripts compute theoretical option prices and the Greeks (delta, gamma, theta, vega), and its simulators draw profit and loss profiles for the major strategy families: income strategies like covered calls and cash-secured puts, protection like protective puts and collars, directional spreads, and volatility plays such as straddles and iron condors, including earnings-based setups that pull upcoming earnings dates into the analysis. Each simulation surfaces max profit, max loss, breakevens, Greeks exposure, and position-sizing guidance, with plain-language explanations aimed at learning how a strategy behaves before any real order exists. It runs on Python 3.9+ with numpy, scipy, and requests; a Financial Modeling Prep (FMP) API key is optional and only used to fetch current prices, historical volatility, dividends, and earnings dates automatically, otherwise you type the inputs in yourself. From the tradermonty/claude-trading-skills repository (MIT). Honest caveats: theoretical Black-Scholes prices are model estimates, not executable market quotes; real fills include bid-ask spreads, liquidity, and assignment risk that a simulator understates. Defined-risk on paper still means real money at risk in an account. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Copy the install package below, then paste it into MuseThe install prompt below already includes the vetting steps: your agent follows the community checklist before installing anything with executable code. Want more?
Use "Options Strategy Advisor" with your Muse. Prerequisite: Python 3.9+ with numpy, scipy, and requests. An FMP API key is optional (it only automates price and volatility lookups); without one you enter prices and volatility manually. The skill itself is free and open source. 1. Open the skill: https://github.com/tradermonty/claude-trading-skills/blob/main/skills/options-strategy-advisor/SKILL.md and copy the full SKILL.md text. 2. Paste it into a chat with Muse and add: "Simulate a bull call spread on [TICKER], [strike A]/[strike B], and show max profit, max loss, breakevens, and the Greeks" or "Should I trade a straddle before [TICKER] earnings? Walk me through the numbers." 3. Use the simulation to understand the strategy's behavior and risk first; any real trade stays your own decision, with your broker's live quotes. Tip: start with the basic pricing examples (no API key needed) to see how the Greeks move with price, time, and volatility. Safety: a skill is plain-text instructions; it runs nothing by itself. Options can expire worthless and involve real risk of loss; this is educational and informational only, not investment advice.
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Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.