Agent Skills › staskh/trading_skills › spread-analysis

spread-analysis

GitHub

分析垂直价差、铁鹰、跨式及宽跨式等期权策略。支持计算成本、最大盈亏、盈亏平衡点及盈利概率，并提供风险收益解释与适用场景建议。

.claude/skills/spread-analysis/SKILL.md staskh/trading_skills

触发场景

用户询问期权价差策略分析用户提及垂直价差、铁鹰、跨式或宽跨式

安装

npx skills add staskh/trading_skills --skill spread-analysis -g -y

更多选项

非标准路径

npx skills add https://github.com/staskh/trading_skills/tree/main/.claude/skills/spread-analysis -g -y

不安装直接使用

npx skills use staskh/trading_skills@spread-analysis

指定 Agent (Claude Code)

npx skills add staskh/trading_skills --skill spread-analysis -a claude-code -g -y

安装 repo 全部 skill

npx skills add staskh/trading_skills --all -g -y

预览 repo 内 skill

npx skills add staskh/trading_skills --list

SKILL.md

Frontmatter

{
    "name": "spread-analysis",
    "description": "Analyze option spread strategies like vertical spreads, iron condors, straddles, strangles. Use when user asks about spreads, multi-leg strategies, vertical spread, iron condor, straddle, strangle, or strategy analysis.",
    "dependencies": [
        "trading-skills"
    ]
}

Spread Analysis

Analyze multi-leg option strategies.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.

uv run python scripts/spreads.py SYMBOL --strategy STRATEGY --expiry YYYY-MM-DD [options]

Strategies and Options

Vertical Spread (bull/bear call/put spread):

uv run python scripts/spreads.py AAPL --strategy vertical --expiry 2026-01-16 --type call --long-strike 180 --short-strike 185

Straddle (long call + long put at same strike):

uv run python scripts/spreads.py AAPL --strategy straddle --expiry 2026-01-16 --strike 180

Strangle (long call + long put at different strikes):

uv run python scripts/spreads.py AAPL --strategy strangle --expiry 2026-01-16 --put-strike 175 --call-strike 185

Iron Condor (sell strangle + buy wider strangle):

uv run python scripts/spreads.py AAPL --strategy iron-condor --expiry 2026-01-16 --put-short 175 --put-long 170 --call-short 185 --call-long 190

Output

Returns JSON with:

strategy - Strategy name and legs
cost - Net debit or credit
max_profit - Maximum potential profit
max_loss - Maximum potential loss
breakeven - Breakeven price(s)
probability - Estimated probability of profit (based on IV)

Explain the risk/reward and when this strategy is appropriate.

Dependencies

pandas
yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.