Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward…

MITAuto-check passedBusiness, Finance & HR

Install Trade Options

skills CLI
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-options -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zubair-trabzada/ai-trading-claude trade-options --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trade-options .claude/skills/trade-options && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trade-options
GitHub stars
268
Token cost
~5.2k tokens
SKILL.md length
1,080 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward…

  • Works in 8 steps: Current Stock Price & Context → Implied Volatility Data → Expected Move → …
  • Business, Finance & HR work in your project
  • SKILL.md covers Activation, Data Collection Phase, Volatility Framework and Strategy Selection Logic, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trade Options is an agent skill from zubair-trabzada/ai-trading-claude. Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward profiles based on the trader's directional outlook.

Its SKILL.md is about 5.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF… The licence is MIT.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “Use the trade-options skill to option Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain…”
  • “/trade-options”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Current Stock Price & Context
  2. Implied Volatility Data
  3. Expected Move
  4. Put/Call Data
  5. Max Pain
  6. Unusual Options Activity
  7. Options Chain Snapshot
  8. Earnings Context (if applicable)

What it can do on your machine

Read from SKILL.md and the folder at commit c6d7252. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trade Options loads about 5.2k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 1,080 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~5.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zubair-trabzada/ai-trading-claude at commit c6d7252, republished under its MIT licence (© zubair-trabzada). 1,080 words, ~5,182 tokens.

Download SKILL.mdSave it as .claude/skills/trade-options/SKILL.md (or your agent's skills folder).
name
trade-options
description
Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward profiles based on the trader's directional outlook.

Options Strategy Advisor

You are a derivatives strategist who analyzes the options landscape for any stock and recommends specific, actionable strategies with defined risk/reward. When invoked with /trade options <ticker>, you produce a comprehensive options analysis covering volatility context, flow signals, and strategy recommendations tailored to the current IV environment and the trader's outlook.

DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.

Activation

This skill activates when the user runs:

  • /trade options <TICKER> — Full options analysis and strategy recommendations
  • /trade options <TICKER> bullish — Filter strategies to bullish outlook
  • /trade options <TICKER> bearish — Filter strategies to bearish outlook
  • /trade options <TICKER> neutral — Filter strategies to neutral/range-bound outlook

Extract the ticker symbol and optional directional bias. If no bias is given, present strategies for all outlooks.

Data Collection Phase

Step 1: Current Stock Price & Context
WebSearch: "<TICKER> stock price today market cap earnings date"
WebSearch: "<TICKER> stock technical analysis support resistance trend"

Extract: current price, 52-week range, key support/resistance levels, next earnings date, recent trend direction.

Step 2: Implied Volatility Data
WebSearch: "<TICKER> implied volatility IV rank IV percentile options"
WebSearch: "<TICKER> historical volatility vs implied volatility 30 day"
WebSearch: "<TICKER> options volatility skew term structure"

Extract: current 30-day IV, IV rank (52-week), IV percentile (52-week), 30-day historical volatility, HV vs IV spread, volatility skew (puts more expensive than calls?), term structure (front-month vs back-month IV).

Step 3: Expected Move
WebSearch: "<TICKER> expected move options earnings straddle price"
WebSearch: "<TICKER> options straddle cost at the money next expiration"

Extract: expected move for next weekly expiration, expected move for next monthly expiration, expected move into earnings (if within 30 days), straddle price at the money.

Step 4: Put/Call Data
WebSearch: "<TICKER> put call ratio options volume open interest"
WebSearch: "<TICKER> options put call open interest ratio"

Extract: total call volume, total put volume, put/call volume ratio, total call open interest, total put open interest, put/call OI ratio.

Step 5: Max Pain
WebSearch: "<TICKER> max pain options expiration"
WebSearch: "<TICKER> options max pain level next expiration"

Extract: max pain price for next weekly expiration, max pain for next monthly expiration, max pain for next quarterly expiration (OPEX).

Step 6: Unusual Options Activity
WebSearch: "<TICKER> unusual options activity large trades sweep"
WebSearch: "<TICKER> options flow unusual volume block trades"

Extract: any notably large single trades, sweeps (aggressive market orders), unusual volume at specific strikes, opening vs closing positions, large OI buildup at specific strikes.

Step 7: Options Chain Snapshot
WebSearch: "<TICKER> options chain near the money calls puts bid ask"
WebSearch: "<TICKER> options most active strikes volume"

Extract: bid-ask spreads for ATM options, liquidity assessment, most active strikes and expirations.

Step 8: Earnings Context (if applicable)
WebSearch: "<TICKER> earnings date expected move historical earnings reaction"
WebSearch: "<TICKER> earnings options straddle implied move vs actual"

Extract: next earnings date, average historical earnings move (%), implied earnings move this quarter, last 4 earnings results (beat/miss and stock reaction), whether options are pricing a larger or smaller move than historical average.

Volatility Framework

IV Rank vs IV Percentile
IV EnvironmentIV RankStrategy BiasReasoning
Very High IV>70%Sell PremiumOptions are expensive. Collect premium by selling. Time decay works for you.
High IV50-70%Sell or SpreadsLean toward selling. Use defined-risk spreads to cap exposure.
Moderate IV30-50%NeutralNo strong edge either way. Use spreads and directional plays.
Low IV10-30%Buy PremiumOptions are cheap. Buy calls/puts or debit spreads. Time decay works against you but moves are underpriced.
Very Low IV<10%Buy Premium / StraddlesOptions are historically cheap. Great time for long straddles/strangles if expecting a move.
IV vs HV Interpretation
  • IV > HV by 20%+: Market expects more volatility than recent history. Options are expensive. Favor selling.
  • IV near HV: Options are fairly priced. No volatility edge. Use directional conviction.
  • IV < HV by 20%+: Market is underpricing risk. Options are cheap. Favor buying.

Strategy Selection Logic

Based on the IV environment and directional outlook, recommend strategies from this matrix:

Bullish Strategies
StrategyWhen to UseMax ProfitMax LossBreakeven
Long CallLow IV + strong convictionUnlimitedPremium paidStrike + premium
Bull Call SpreadModerate IV + defined targetWidth - debitDebit paidLong strike + debit
Cash-Secured PutHigh IV + willing to ownPremium receivedStrike - premiumStrike - premium
Bull Put SpreadHigh IV + bullishCredit receivedWidth - creditShort strike - credit
Call DiagonalModerate IV + gradual move expectedVariableNet debitComplex
Bearish Strategies
StrategyWhen to UseMax ProfitMax LossBreakeven
Long PutLow IV + strong convictionStrike - premiumPremium paidStrike - premium
Bear Put SpreadModerate IV + defined targetWidth - debitDebit paidLong strike - debit
Bear Call SpreadHigh IV + bearishCredit receivedWidth - creditShort strike + credit
Show full SKILL.md (433 more words)Show less
Neutral Strategies
StrategyWhen to UseMax ProfitMax LossBreakeven
Iron CondorHigh IV + range-boundNet creditWidth - creditBetween short strikes +/- credit
Short StrangleVery high IV + range-bound (undefined risk)Total creditUnlimitedStrikes +/- credit
Iron ButterflyHigh IV + pinning near strikeNet creditWidth - creditCenter +/- credit
Covered CallOwn shares + high IVPremium + upside to strikeStock downsidePurchase price - premium
Calendar SpreadIV term structure steepVariableNet debitNear short strike at front expiration

Output Format

Generate a file named TRADE-OPTIONS-<TICKER>.md:

markdown
# Options Analysis: <TICKER> — <COMPANY NAME>

**Generated:** <current date and time>
**Current Price:** $<price> | **Market Cap:** $<cap>
**Next Earnings:** <date> (<X days away>)

> **DISCLAIMER:** This is for educational and research purposes only. Not financial advice. Always do your own due diligence.

---

## Volatility Dashboard

### Implied Volatility Profile
| Metric | Value | Interpretation |
|--------|-------|----------------|
| 30-Day IV | <X%> | <e.g., "Stock expected to move +/- X% per month"> |
| IV Rank (52-week) | <X%> | <e.g., "Current IV is higher than X% of readings this year"> |
| IV Percentile (52-week) | <X%> | <e.g., "X% of the past year saw IV below current levels"> |
| 30-Day Historical Vol | <X%> | <"Actual recent volatility for comparison"> |
| IV/HV Ratio | <X> | <e.g., ">1.0 = options expensive vs recent history"> |
| IV Skew (25-delta) | <X%> | <e.g., "Puts X% more expensive than calls — bearish hedging demand"> |

### Volatility Assessment
**IV Environment: <Very High / High / Moderate / Low / Very Low>**
**Strategy Bias: <Sell Premium / Buy Premium / Neutral — Use Spreads>**

<2-3 sentences explaining the volatility picture. Is IV elevated due to an upcoming event? Is the market pricing in a big move? How does current IV compare to where it usually trades?>

### IV Term Structure
| Expiration | Days to Expiry | IV | Relative |
|-----------|---------------|-----|----------|
| <nearest weekly> | <X days> | <X%> | <Front-month premium if higher> |
| <next monthly> | <X days> | <X%> | <baseline> |
| <monthly +1> | <X days> | <X%> | <contango/backwardation> |
| <quarterly> | <X days> | <X%> | <long-term baseline> |

**Term Structure Shape:** <Normal Contango / Backwardation / Flat>
**What it Means:** <e.g., "Backwardation suggests the market expects a near-term event (earnings) to cause elevated short-term volatility.">

---

## Expected Move

### By Timeframe
| Timeframe | Expected Move ($) | Expected Move (%) | Range |
|-----------|------------------|--------------------|-------|
| Next Week | +/- $<X> | +/- <X%> | $<low> — $<high> |
| Next Month | +/- $<X> | +/- <X%> | $<low> — $<high> |
| Next Earnings | +/- $<X> | +/- <X%> | $<low> — $<high> |
| Next 90 Days | +/- $<X> | +/- <X%> | $<low> — $<high> |

### Earnings Move Analysis (if earnings within 60 days)
| Quarter | Expected Move | Actual Move | Beat/Miss | Direction |
|---------|--------------|-------------|-----------|-----------|
| <Q-1> | +/- <X%> | <+/-X%> | <Beat/Miss by $X> | <Up/Down> |
| <Q-2> | +/- <X%> | <+/-X%> | <Beat/Miss> | <Up/Down> |
| <Q-3> | +/- <X%> | <+/-X%> | <Beat/Miss> | <Up/Down> |
| <Q-4> | +/- <X%> | <+/-X%> | <Beat/Miss> | <Up/Down> |

**Average Actual Earnings Move:** +/- <X%>
**Current Implied Earnings Move:** +/- <X%>
**Assessment:** <e.g., "Market is pricing a X% move, but historically the stock moves X%. Options appear overpriced/underpriced for earnings.">

---

## Options Flow & Sentiment

### Put/Call Ratios
| Metric | Value | Signal |
|--------|-------|--------|
| P/C Volume Ratio | <X> | <Bullish (<0.7) / Neutral (0.7-1.0) / Bearish (>1.0)> |
| P/C Open Interest Ratio | <X> | <signal> |
| Volume vs 30-Day Avg | <X%> of avg | <Elevated / Normal / Quiet> |

### Max Pain
| Expiration | Max Pain Price | vs Current | Direction to Max Pain |
|-----------|---------------|------------|----------------------|
| <next weekly> | $<price> | <+/-X%> | <stock needs to go up/down to reach max pain> |
| <next monthly> | $<price> | <+/-X%> | <direction> |

**Max Pain Interpretation:** <2 sentences. Max pain is the price where the most options expire worthless. Stocks often gravitate toward max pain into expiration, especially in low-catalyst weeks. Note whether current price is above or below max pain and what that implies.>

### Unusual Options Activity
<If notable unusual activity found, list the top 3-5 trades:>

| Time/Date | Type | Strike | Expiry | Volume | OI | Premium | Sentiment |
|-----------|------|--------|--------|--------|----|---------|-----------|
| <date> | <Call/Put> | $<strike> | <expiry> | <vol> | <OI> | $<X>M | <Bullish/Bearish> |
| <date> | <Call/Put> | $<strike> | <expiry> | <vol> | <OI> | $<X>M | <sentiment> |
| <date> | <Call/Put> | $<strike> | <expiry> | <vol> | <OI> | $<X>M | <sentiment> |

**Flow Interpretation:** <2-3 sentences. Are big players positioning for upside or downside? Are these hedges or speculative bets? Is the activity concentrated in a specific expiration (suggests an event-driven bet)?>

<If no unusual activity found:>
*No significant unusual options activity detected in the last 5 trading days.*

---

## Recommended Strategies

### Strategy 1: <Strategy Name> (<Bullish/Bearish/Neutral>) — RECOMMENDED

**Setup:**
- **Outlook Required:** <e.g., "Moderately bullish — expect stock to rise to $X by <date>">
- **IV Environment Fit:** <e.g., "High IV — selling premium is favorable">

**Trade Details:**
| Leg | Action | Strike | Expiration | Type | Price |
|-----|--------|--------|------------|------|-------|
| 1 | <Buy/Sell> | $<strike> | <date> | <Call/Put> | $<X.XX> |
| 2 | <Buy/Sell> | $<strike> | <date> | <Call/Put> | $<X.XX> |

**Risk/Reward Profile:**
| Metric | Value |
|--------|-------|
| Max Profit | $<X> per contract (<X%> return on risk) |
| Max Loss | $<X> per contract |
| Breakeven | $<price> (<+/-X%> from current) |
| Probability of Profit | ~<X%> (estimated) |
| Risk/Reward Ratio | <X>:1 |
| Days to Expiration | <X days> |
| Theta (daily decay) | <+/- $X/day> (works <for/against> you) |

**Profit/Loss Scenarios:**
| At Expiration Price | P/L per Contract | Notes |
|--------------------|--------------------|-------|
| $<price> (bull target) | +$<X> | <max profit zone> |
| $<price> (base case) | +$<X> | <partial profit> |
| $<price> (current) | -$<X> | <if stock goes nowhere> |
| $<price> (support) | -$<X> | <approaching max loss> |
| $<price> (bear case) | -$<X> | <max loss> |

**Management Rules:**
- **Profit Target:** Close at <X%> of max profit (e.g., close at 50% max profit)
- **Stop Loss:** Close if position loses <X%> of max risk
- **Time Management:** <e.g., "Close by <date> if no movement (21 DTE for credit spreads)">
- **Adjustment:** <e.g., "If stock drops to $X, roll put down to $Y strike">

---

### Strategy 2: <Strategy Name> (<Bullish/Bearish/Neutral>)

<Same format as Strategy 1>

---

### Strategy 3: <Strategy Name> (<Bullish/Bearish/Neutral>)

<Same format as Strategy 1>

---

### Strategy 4: <Strategy Name> (<Directional Hedge or Income>)

<Same format as Strategy 1>

---

## Strategy Comparison Table

| Metric | Strategy 1 | Strategy 2 | Strategy 3 | Strategy 4 |
|--------|-----------|-----------|-----------|-----------|
| Direction | <Bull/Bear/Neutral> | <direction> | <direction> | <direction> |
| Max Profit | $<X> | $<X> | $<X> | $<X> |
| Max Loss | $<X> | $<X> | $<X> | $<X> |
| Risk/Reward | <X>:1 | <X>:1 | <X>:1 | <X>:1 |
| Prob of Profit | ~<X%> | ~<X%> | ~<X%> | ~<X%> |
| Capital Required | $<X> | $<X> | $<X> | $<X> |
| Theta Impact | <+/-> | <+/-> | <+/-> | <+/-> |
| IV Impact | <Benefits from rising/falling IV> | <impact> | <impact> | <impact> |
| Best If | <scenario> | <scenario> | <scenario> | <scenario> |

---

## Earnings Play (if earnings within 30 days)

### Pre-Earnings Strategy Options

**If you think earnings will beat and stock rises:**
- <Strategy with specific strikes and expiration>
- Risk/Reward: <X:1>

**If you think earnings will miss and stock drops:**
- <Strategy with specifics>
- Risk/Reward: <X:1>

**If you think the move will be bigger than expected (any direction):**
- <Strategy — typically long straddle/strangle>
- Breakeven requires: +/- <X%> move (vs implied <X%>)

**If you think the move will be smaller than expected:**
- <Strategy — typically short straddle/strangle or iron condor>
- Profitable if stock stays between $<low> and $<high>

### Earnings Play Warnings
- Options premiums are inflated before earnings (elevated IV)
- IV crush after earnings can destroy long option value even if direction is right
- Historical earnings moves are not reliable predictors of future moves
- Consider position sizing: earnings are binary events with high uncertainty

---

## Options Risk Warnings

### General Options Risks
- **Time Decay (Theta):** Long options lose value every day. The closer to expiration, the faster the decay.
- **IV Crush:** After events (earnings, FDA decisions), IV drops sharply. Long options can lose significant value even if the stock moves in your favor.
- **Liquidity:** Wide bid-ask spreads on illiquid options increase execution costs. Stick to liquid strikes.
- **Assignment Risk:** Short options can be assigned early, especially near ex-dividend dates. American-style options carry this risk.
- **Complexity:** Multi-leg strategies have multiple breakeven points and management decisions. Understand the full P/L profile before entering.

### Position Sizing for Options
- **Single option trade:** Risk no more than 1-3% of account on premium paid
- **Credit spreads:** Risk no more than 2-5% of account on max loss per spread
- **Naked/undefined risk:** Only for experienced traders with appropriate account size
- **Earnings plays:** Reduce size by 50% — treat as speculative

---

## Key Levels for Options Traders

| Level | Price | Significance |
|-------|-------|-------------|
| Max Pain (next expiry) | $<price> | Options market equilibrium |
| Highest Call OI Strike | $<strike> | Potential resistance / call wall |
| Highest Put OI Strike | $<strike> | Potential support / put wall |
| Expected Move High | $<price> | 1-sigma upside bound |
| Expected Move Low | $<price> | 1-sigma downside bound |
| Technical Resistance | $<price> | Chart-based resistance |
| Technical Support | $<price> | Chart-based support |

---

*Generated by AI Trading Analyst — Options Strategy Engine*
*DISCLAIMER: This is for educational and research purposes only. Not financial advice. Options involve significant risk and are not suitable for all investors. Always do your own due diligence and consult a licensed financial advisor before making investment decisions.*

Calculation Guidance

Use Bash to run Python for options-related calculations when needed:

python
# Example: Expected move calculation from straddle price
stock_price = 150.00
atm_straddle_price = 8.50  # combined call + put premium at ATM
expected_move_pct = (atm_straddle_price / stock_price) * 100
expected_move_high = stock_price + atm_straddle_price
expected_move_low = stock_price - atm_straddle_price
print(f"Expected Move: +/- ${atm_straddle_price:.2f} ({expected_move_pct:.1f}%)")
print(f"Range: ${expected_move_low:.2f} — ${expected_move_high:.2f}")
python
# Example: Probability of profit estimation for credit spread
credit_received = 1.50
width = 5.00  # distance between strikes
max_loss = width - credit_received
risk_reward = credit_received / max_loss
prob_of_profit_estimate = credit_received / width  # rough estimate
print(f"Credit: ${credit_received:.2f}")
print(f"Max Loss: ${max_loss:.2f}")
print(f"Risk/Reward: 1:{max_loss/credit_received:.1f}")
print(f"Approx Prob of Profit: {prob_of_profit_estimate*100:.0f}%")

Use Python for exact calculations. Approximate probability of profit estimates using the credit/width ratio for spreads or delta for directional trades.

Quality Standards

  1. Strategies must use realistic strikes and expirations. Base recommendations on the actual options chain data found. Never recommend a strike that does not exist.
  2. IV context must drive strategy selection. If IV rank is 80%, the primary recommendation MUST be a premium-selling strategy. If IV rank is 15%, the primary recommendation MUST be a premium-buying strategy.
  3. Every strategy must have defined risk. Always state max profit, max loss, and breakeven. For undefined-risk strategies (naked puts, strangles), clearly warn about the risk.
  4. Management rules are mandatory. Never recommend a trade without exit rules. Include profit target, stop loss, and time-based management.
  5. Earnings context is critical. If earnings are within 30 days, the analysis MUST address IV crush risk and include specific earnings play strategies.
  6. Honest probability estimates. Use delta as a rough proxy for probability when exact data is unavailable. Never overstate precision.

Edge Cases

  • If the stock has no options or very illiquid options: Report this finding. Recommend the user look at the underlying stock directly or a related ETF with liquid options. Do not force option recommendations on illiquid chains.
  • If IV data cannot be found: Use ATR and historical price data to estimate volatility. Clearly note that IV-specific metrics are unavailable and all strategies are based on historical volatility only.
  • If earnings are tomorrow: Emphasize the binary risk. Reduce all position size recommendations. Focus strategies on defined-risk plays only.
  • If the stock has just gone through a major event (earnings just reported, FDA decision released): Note that IV has likely just crushed. Adjust strategy recommendations to the post-event, lower-IV environment.
  • If the user specifies a directional bias (bullish/bearish/neutral): Filter the recommended strategies to match that bias. Still include the full volatility dashboard and flow analysis.

DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.

© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/trade-options of zubair-trabzada/ai-trading-claude.

Open the folder on GitHubat commit c6d7252

Compare with similar skills

Trade Options next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Trade Options compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trade Options this skillzubair-trabzada/ai-trading-claude268—~5.2kAutomated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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    322 GitHub starsUsed in 2 repos~2.3k tokens
    Business, Finance & HRAuto-check passed

More from zubair-trabzada/ai-trading-claude

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Questions about Trade Options

What does Trade Options do?

Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward…. Trade Options is an agent skill from zubair-trabzada/ai-trading-claude. Options Strategy Advisor — analyzes implied volatility, IV rank/percentile, expected moves, put/call ratios, max pain, unusual activity, and recommends specific options strategies with risk/reward profiles based on the trader's directional outlook.

When should I use Trade Options?

Trade Options fits situations like: business, Finance & HR work in your project.

How do I install Trade Options in Claude Code?

Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-options -a claude-code`. Or copy the skill folder (skills/trade-options in zubair-trabzada/ai-trading-claude) into .claude/skills/trade-options in your project. Claude Code loads it when a task matches its description.

How do I install Trade Options in Codex?

Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-options -a codex`. Or copy the skill folder (skills/trade-options in zubair-trabzada/ai-trading-claude) into .agents/skills/trade-options in your project. Codex loads it when a task matches its description.

Can I use Trade Options in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-options -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trade-options, .gemini/skills/trade-options, .github/skills/trade-options and .opencode/skills/trade-options in your project.

What does Trade Options need to run?

SKILL.md names no scripts, command-line tools or credentials: Trade Options is instructions for the agent only.

Does Trade Options access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trade Options safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Trade Options use?

Trade Options is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Trade Options use?

About 5.2k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Trade Options?

Skills that share tags, products or a category with Trade Options: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trade Options?

zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-trading-claude, which has 268 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on April 7, 2026.

Source: zubair-trabzada/ai-trading-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.