Options Strategy

Options Strategy Calculator

Evaluate options strategies for a given ticker with risk/reward analysis.

Step 0: 配置同步 & 倉位偵測

執行 CLAUDE.md 的 Step 0 統一規範（0a → 0b → 0c → 0d → 0e）。

• 讀 plan.md + feedback/*.md（必做）；了解此標的在計畫中的進場策略與 strikes
• 呼叫 get_account_position 取即時持倉（確認現有部位與資金狀況）
• 今日 journal 不存在 → 執行 gap-fill + 變動偵測 + 自動建立 journal
• 0e 第一性原理紀律：在 Recommendation 之前必須完成「方向 thesis / 證偽條件 / IV 機率分布」三題（見 CLAUDE.md 0e）

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Arguments

• /options-strategy TEAM sell-put — Sell put analysis
• /options-strategy SSRM covered-call — Covered call analysis
• /options-strategy MU leaps — LEAPS replacement analysis
• /options-strategy FSLY naked-call — Speculative call analysis
• /options-strategy PLTR all — Show all applicable strategies
• /options-strategy PLTR AMD MU sell-put — 多標的比較（平行）
• /options-strategy MU sell-put --codex — 加 Codex 第二意見（adversarial review of strike selection）

Workflow

1. Parse ticker and strategy from arguments

Multi-Ticker Parallel Mode

當偵測到多個 ticker（如 /options-strategy PLTR AMD MU sell-put）：

1. 為每個 ticker 派出獨立 Agent 子代理（subagent_type: "data-collector"，Haiku 4.5），每個 Agent 執行：

• get_stock_info — 現價 + 基本面
• get_option_chain — 選擇權鏈
• get_technical_indicators — 波動率 + RSI + 動量
• get_support_resistance — S/R levels for strike selection

1. 每個 Agent 回傳 raw 選擇權數據，主 skill 計算所選策略 3-4 個 strike 的損益數據
2. 整合為比較表，依 E_adj 排序：

| Ticker | 現價 | Strategy | Best Strike(s) | Max Profit | Max Loss | 損益比 | ATR% | E_adj | 排名 | |--------|------|----------|----------------|------------|----------|--------|------|-------|------|

若 Agent tool 不可用，依序處理各 ticker 亦可。

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1. Get Current Price & Technicals

• If Yahoo Finance MCP is available, fetch real-time quote
• Otherwise use WebSearch: "[TICKER] stock price today"
• Check current-position.md for existing holdings
• Use mcp__technical-mcp__get_technical_indicators to get volatility regime, ATR, and RSI
• Use mcp__technical-mcp__get_support_resistance to identify key levels for strike selection

1. Get Options Data

• If Options Chain MCP or Yahoo Finance MCP is available, fetch actual options chain
• Otherwise, estimate premiums based on:
• Stock price and volatility
• Days to expiry
• Strike distance from current price
• Historical IV if available via WebSearch

1. Strategy Analysis

Sell Put

For 3-4 strike levels (near ATM to 15-20% OTM): | Strike | OTM % | Expiry | Est. Premium | Breakeven | Annualized Return | P(assign) | Margin Est. |

• Margin estimate = 20-25% of (strike × 100) for margin account
• Annualized return = (premium / margin) × (365 / DTE)
• Show assignment scenario: what happens if assigned

Covered Call

Requires existing shares (check current-position.md): | Strike | OTM % | Expiry | Est. Premium | Max Profit | Annualized Yield | P(called away) |

• Flag if user has enough shares for round lot (100)

LEAPS (Stock Replacement)

For 2-3 strike levels (10-25% ITM): | Strike | ITM % | Expiry | Est. Cost | Delta | Equiv. Shares | vs. Holding Stock |

• Compare capital required: LEAPS vs equivalent shares
• Calculate capital freed
• Time value at risk
• Note: if the user's broker is Level 2 only (no spreads), PMCC is unavailable

Bull Put Spread

For 2-3 strike combinations (short strike near support, long strike $10-20 below): | Short Strike | Long Strike | Width | Max Profit | Max Loss | Breakeven | P(profit) | Margin |

• Max profit = net premium received
• Max loss = width × 100 - premium
• Margin requirement = width × 100
• 引用配置計畫中建議的 strike levels（如有）

Bear Call Spread

For stocks that are overbought or above target price: | Short Strike | Long Strike | Width | Max Profit | Max Loss | Breakeven | P(profit) |

• Suitable for: TPL (RSI超買), ATI (超目標價) 等計畫中標記的標的

Naked Call (Speculative)

| Strike | OTM % | Expiry | Est. Cost | Breakeven | Max Loss |

• Flag this as high risk
• Only for small speculative positions

1. Broker Constraints（內部參考，不輸出）

分析時遵守以下限制，但不在輸出中顯示此區塊：

• Options Level 2 + Spread 已開通（2026/03/03 起）
• 可做 Bull/Bear Put/Call Spread、PMCC
• Sell Put 使用 Margin（非 cash-secured 全額）
• 不能做裸賣 Call（需 Level 3+）
• 配置計畫原則：不再開裸 Sell Put，全部用 Spread

1. Volatility-Adjusted Guidance

Based on mcp__technical-mcp__get_technical_indicators volatility regime:

• High volatility regime → sell premium strategies more attractive (higher premiums), wider strikes
• Low volatility regime → buying options cheaper, tighter strikes for sell strategies
• RSI overbought (>70) → sell call premiums attractive, avoid buying calls
• **RSI oversold ( 若 Codex 失敗 → 輸出 ⚠️ Codex 不可用：[error]，跳過第二意見，繼續正常輸出。

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Output Language

Use Traditional Chinese (繁體中文) for all text output.

存檔 + HTML 生成

報告完成後：

1. 使用 Write tool 把完整 markdown 寫到 briefing-out/options-strategy--YYYY-MM-DD.md
2. 執行：

python3 tools/generate_html.py options-strategy briefing-out/options-strategy--YYYY-MM-DD.md --push

成功時印出網頁連結，失敗時印警告並繼續。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: PatrickSUDO
• Source: PatrickSUDO/fadacai-portfolio
• License: MIT

Install and usage instructions live in the source repository linked above.