Option Spread Analysis
Price a vertical spread, straddle, strangle, or iron condor before you trade it: net debit or credit, max profit, max loss, breakevens, and an IV-based probability of profit.
- What
- Price a vertical spread, straddle, strangle, or iron condor before you trade it: net debit or credit, max profit, max loss, breakevens, and an IV-based probability of profit.
- Cost
- Free
- Needs
- Use "Option Spread Analysis" with your Muse.
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
⚠️ **Trading warning / Avertissement trading** : informational only, not investment advice. Defined-risk on paper is still real risk in a live account, and multi-leg trades carry assignment and execution risks a worksheet cannot remove. Curated by Skill Harbor: a pre-trade worksheet for multi-leg option strategies. Name the strategy (vertical spread, straddle, strangle, or iron condor), the ticker, the expiry, and the strikes, and it prices the structure from the Yahoo Finance chain: net debit or credit, maximum profit, maximum loss, breakeven price or prices, and an estimated probability of profit derived from implied volatility, with an explanation of the risk, the reward, and when the strategy fits. This is the math traders usually do inside a broker platform's analyzer, done in chat before any order exists: compare a defined-risk vertical against a wider iron condor, see exactly where you stop making money, and what the trade costs if you are simply wrong. It runs as a Python script (scripts/spreads.py, needs pandas and yfinance) from the staskh/trading_skills repo. From the staskh/trading_skills repository (MIT). Honest caveats: the probability of profit is an IV-based model estimate, not a real-world frequency, and the math ignores commissions, bid-ask slippage, early assignment, and dividend risk on short legs; Yahoo quotes can be delayed, so recheck prices in your broker before trading. 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 "Option Spread Analysis" with your Muse. Prerequisites: clone the repo once (git clone https://github.com/staskh/trading_skills) and keep the folder handy; the skills live in .claude/skills/ and the scripts run from the repo with uv (uv run python), or with plain python if uv is not installed. This skill needs pandas and yfinance, installed through the repo project. No API key and no brokerage account are required; prices come from Yahoo Finance via the free yfinance library (unofficial, possibly delayed). 1. Open the skill: https://github.com/staskh/trading_skills/blob/main/.claude/skills/spread-analysis/SKILL.md and copy the full SKILL.md text. 2. Paste it into a chat with Muse and add: "Analyze an iron condor on AAPL expiring 2026-01-16: short put 175, long put 170, short call 185, long call 190. Show the net credit, max profit, max loss, breakevens, and the estimated probability of profit." 3. Read the breakevens against your own view of the stock: if being a little wrong already puts you at max loss, the structure, not the forecast, is the problem. Tip: price the same strikes at two expiries; the probability and the max loss often move more than the credit does. Safety: a skill is plain-text instructions; it runs nothing by itself. This is informational only, not investment advice.
Saved to your recent installs. Find it anytime on /connect.
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.