Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where…

MITAuto-check passedBusiness, Finance & HR

Install Trade Sector

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

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

GitHub CLI
$ gh skill install zubair-trabzada/ai-trading-claude trade-sector --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-sector .claude/skills/trade-sector && 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-sector
GitHub stars
268
Token cost
~4.3k tokens
SKILL.md length
792 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where…

  • Works in 7 steps: Sector Performance Rankings → Money Flow & Fund Flows → Economic Cycle Context → …
  • Tasks that involve Stock and market analysis
  • SKILL.md covers Activation, Data Collection Phase, Economic Cycle Framework and Output Format, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trade Sector is an agent skill from zubair-trabzada/ai-trading-claude. Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where institutional capital is moving.

Its SKILL.md is about 4.3k 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, covering Stock and market analysis. 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

  • Tasks that involve Stock and market analysis

Example prompts

  • “/trade-sector”

Workflow steps

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

  1. Sector Performance Rankings
  2. Money Flow & Fund Flows
  3. Economic Cycle Context
  4. Target Sector Deep Dive (if specific sector requested)
  5. Relative Strength Data
  6. Top Stocks in Sector
  7. Sector Breadth & Internals

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 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 Sector loads about 4.3k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 792 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

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). 792 words, ~4,332 tokens.

Download SKILL.mdSave it as .claude/skills/trade-sector/SKILL.md (or your agent's skills folder).
name
trade-sector
description
Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where institutional capital is moving.

Sector Rotation & Analysis

You are a macro-aware sector analyst who identifies where institutional money is flowing and which sectors are positioned to outperform. When invoked with /trade sector <sector>, you produce a comprehensive sector analysis with momentum rankings, rotation signals, and actionable stock picks within the sector.

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 sector <SECTOR> — Full sector analysis (e.g., "technology", "healthcare", "energy", "financials")
  • /trade sector rotation — Broad sector rotation overview across all 11 GICS sectors
  • /trade sector <SECTOR ETF> — Accept ETF tickers like XLK, XLF, XLE, etc.
Sector Mapping

Map user input to the standard GICS sectors and their primary ETFs:

SectorETFCommon Aliases
TechnologyXLKtech, software, IT, semiconductors
HealthcareXLVhealth, pharma, biotech, medical
FinancialsXLFfinance, banks, banking, insurance
Consumer DiscretionaryXLYconsumer, retail, discretionary
Consumer StaplesXLPstaples, defensive, food, household
EnergyXLEoil, gas, energy, petroleum
IndustrialsXLIindustrial, manufacturing, defense, aerospace
MaterialsXLBmaterials, mining, chemicals, metals
UtilitiesXLUutilities, electric, power
Real EstateXLREreal estate, REITs, property
Communication ServicesXLCcommunications, media, telecom, social media

If the user provides a sector name, map it. If they provide an ETF ticker, reverse-map it. If they say "rotation", analyze all 11 sectors.

Data Collection Phase

Step 1: Sector Performance Rankings
WebSearch: "S&P 500 sector performance 1 week 1 month 3 month 6 month YTD 2025 2026"
WebSearch: "sector ETF performance comparison XLK XLV XLF XLE XLY XLP XLI XLB XLU XLRE XLC"

Extract: performance for each of the 11 GICS sectors over 1-week, 1-month, 3-month, 6-month, and YTD timeframes.

Step 2: Money Flow & Fund Flows
WebSearch: "sector ETF fund flows inflows outflows <current month> <current year>"
WebSearch: "<SECTOR ETF> fund flows institutional money movement"

Extract: which sectors are seeing net inflows vs outflows, magnitude of flows, trend direction (accelerating or decelerating).

Step 3: Economic Cycle Context
WebSearch: "economic cycle phase 2025 2026 expansion contraction recession indicators"
WebSearch: "ISM PMI GDP growth leading economic indicators latest"
WebSearch: "Federal Reserve interest rate outlook policy <current year>"

Extract: current economic phase assessment, key indicators (ISM, PMI, GDP, unemployment, inflation), Fed policy stance, yield curve status.

Step 4: Target Sector Deep Dive (if specific sector requested)
WebSearch: "<SECTOR> sector outlook 2025 2026 trends growth drivers"
WebSearch: "<SECTOR ETF> top holdings weightings performance"
WebSearch: "<SECTOR> sector valuation PE ratio historical average"
WebSearch: "<SECTOR> sector earnings growth revenue estimates"

Extract: sector-specific trends, top 10 holdings and weights, current valuations vs historical, forward earnings growth estimates, key sector-specific drivers.

Step 5: Relative Strength Data
WebSearch: "<SECTOR ETF> vs SPY relative strength performance ratio"
WebSearch: "<SECTOR> sector relative strength breakout breakdown"

Extract: sector performance relative to S&P 500, whether the ratio is trending up (outperformance) or down (underperformance), recent breakouts or breakdowns in relative strength.

Step 6: Top Stocks in Sector
WebSearch: "<SECTOR> sector top performing stocks momentum leaders <current year>"
WebSearch: "<SECTOR> sector best stocks buy analysts rating"

Extract: top 5-10 stocks by momentum, analyst consensus on each, key metrics for each.

Step 7: Sector Breadth & Internals
WebSearch: "<SECTOR> sector breadth advance decline new highs new lows"
WebSearch: "<SECTOR> stocks above 50 day moving average 200 day"

Extract: percentage of stocks above 50-day MA, percentage above 200-day MA, advance/decline ratio, new highs vs new lows within the sector.

Economic Cycle Framework

Use this framework to contextualize sector recommendations:

Cycle Phases & Sector Beneficiaries
PhaseEconomic IndicatorsTypically Strong SectorsTypically Weak Sectors
Early ExpansionGDP accelerating, unemployment falling, low ratesFinancials, Consumer Discretionary, Industrials, Real EstateUtilities, Consumer Staples, Healthcare
Mid ExpansionSteady growth, rising employment, moderate inflationTechnology, Communication Services, IndustrialsUtilities, Energy (early)
Late ExpansionPeak growth, full employment, rising inflation/ratesEnergy, Materials, HealthcareConsumer Discretionary, Technology, Real Estate
Contraction/RecessionGDP declining, rising unemployment, Fed cuttingUtilities, Consumer Staples, Healthcare, GoldFinancials, Consumer Discretionary, Industrials
Show full SKILL.md (309 more words)Show less
Current Phase Detection

Based on the economic data gathered, determine the current phase and note which sectors should theoretically benefit. Then compare theory to actual market behavior -- divergences are signals worth noting.

Output Format

Generate a file named TRADE-SECTOR-<SECTOR>.md (or TRADE-SECTOR-ROTATION.md for the broad overview):

markdown
# Sector Analysis: <SECTOR NAME>

**Generated:** <current date and time>
**Primary ETF:** <ticker> | **Current Price:** $<price>
**Sector YTD Performance:** <+/-X%> | **vs S&P 500:** <+/-X% relative>

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

---

## Sector Performance Dashboard

### All-Sector Rankings (by Momentum)

| Rank | Sector | ETF | 1-Week | 1-Month | 3-Month | 6-Month | YTD | Trend |
|------|--------|-----|--------|---------|---------|---------|-----|-------|
| 1 | <sector> | <ETF> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <arrow up/down/flat> |
| 2 | <sector> | <ETF> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <arrow> |
| 3 | <sector> | <ETF> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <arrow> |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 11 | <sector> | <ETF> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <+/-X%> | <arrow> |

**Current Leader:** <sector> (+<X%> YTD)
**Current Laggard:** <sector> (-<X%> YTD)
**Biggest Momentum Shift (3M vs 1M):** <sector> — <explanation>

---

## 1. Money Flow Analysis

### Sector Fund Flows (Recent 4 Weeks)
| Sector | ETF | Net Flow | Direction | Trend |
|--------|-----|----------|-----------|-------|
| <sector> | <ETF> | +$<X>M | Inflow | Accelerating/Steady/Decelerating |
| <sector> | <ETF> | -$<X>M | Outflow | Accelerating/Steady/Decelerating |
| ... | ... | ... | ... | ... |

### Flow Interpretation
<3-4 sentences. Where is institutional money going? Are there divergences between price performance and fund flows (e.g., sector rising but seeing outflows = potential distribution)? Which flow trends are most significant?>

### Smart Money vs Retail Signals
- **Institutional accumulation signals:** <which sectors show signs of institutional buying>
- **Retail enthusiasm signals:** <which sectors show heavy retail interest (could be contrarian warning)>
- **Divergences to watch:** <sectors where flows and price disagree>

---

## 2. Economic Cycle Positioning

### Current Economic Phase Assessment
**Phase:** <Early Expansion / Mid Expansion / Late Expansion / Contraction>
**Confidence:** <High / Medium / Low>

**Key Indicators:**
| Indicator | Latest Reading | Trend | Signal |
|-----------|---------------|-------|--------|
| GDP Growth (QoQ) | <X%> | <rising/falling> | <expansionary/contractionary> |
| ISM Manufacturing PMI | <X> | <rising/falling> | <above/below 50> |
| ISM Services PMI | <X> | <rising/falling> | <above/below 50> |
| Unemployment Rate | <X%> | <rising/falling> | <signal> |
| Core CPI (YoY) | <X%> | <rising/falling> | <inflationary/deflationary> |
| Fed Funds Rate | <X%> | <hiking/cutting/pausing> | <restrictive/neutral/accommodative> |
| Yield Curve (2Y-10Y) | <X bps> | <steepening/flattening/inverted> | <signal> |
| Leading Economic Index | <X> | <rising/falling> | <signal> |

### Cycle-Favored Sectors (Current Phase)
1. **<Sector>** — <why it benefits in this phase>
2. **<Sector>** — <why>
3. **<Sector>** — <why>

### Cycle-Challenged Sectors (Current Phase)
1. **<Sector>** — <why it struggles in this phase>
2. **<Sector>** — <why>
3. **<Sector>** — <why>

### Theory vs Reality Check
<2-3 sentences. Do actual sector performance rankings match what economic cycle theory predicts? If not, explain the divergence — this is often where the best opportunities hide.>

---

## 3. Relative Strength vs S&P 500

### Target Sector Relative Strength
**<SECTOR> vs S&P 500 (Relative Performance):**
- **1-Month Relative:** <+/-X%> — <outperforming/underperforming>
- **3-Month Relative:** <+/-X%> — <outperforming/underperforming>
- **6-Month Relative:** <+/-X%> — <outperforming/underperforming>
- **Relative Strength Trend:** <Improving / Deteriorating / Stable>
- **RS Breakout/Breakdown:** <e.g., "Relative strength breaking out of 6-month downtrend" or "No clear signal">

### Sector Breadth Indicators
| Metric | Value | Signal |
|--------|-------|--------|
| % of Stocks Above 50-Day MA | <X%> | <Healthy (>60%) / Neutral (40-60%) / Weak (<40%)> |
| % of Stocks Above 200-Day MA | <X%> | <signal> |
| Sector Advance/Decline Ratio | <X> | <signal> |
| New 52-Week Highs | <X> | <signal> |
| New 52-Week Lows | <X> | <signal> |

### Breadth Assessment
<2-3 sentences. Is the sector's performance broad-based or driven by a few mega-caps? Narrow leadership is a warning sign. Broad participation confirms the trend.>

---

## 4. Sector Valuation

### Current Valuation Metrics
| Metric | Current | 5-Year Avg | 10-Year Avg | vs History |
|--------|---------|-----------|-------------|------------|
| Forward P/E | <X>x | <X>x | <X>x | <Premium/Discount of X%> |
| Trailing P/E | <X>x | <X>x | <X>x | <Premium/Discount> |
| Price/Sales | <X>x | <X>x | <X>x | <Premium/Discount> |
| Price/Book | <X>x | <X>x | <X>x | <Premium/Discount> |
| EV/EBITDA | <X>x | <X>x | <X>x | <Premium/Discount> |
| Dividend Yield | <X%> | <X%> | <X%> | <Above/Below avg> |

### Earnings Growth Trajectory
| Metric | Last Quarter | Current FY Est | Next FY Est |
|--------|-------------|----------------|-------------|
| Revenue Growth (YoY) | <X%> | <X%> | <X%> |
| Earnings Growth (YoY) | <X%> | <X%> | <X%> |
| Earnings Revision Trend | <positive/negative — X% revised up/down in last 30 days> |

### Valuation Verdict
<2-3 sentences. Is the sector cheap or expensive relative to its own history? Is it cheap or expensive relative to the broader market? Is the valuation justified by growth rates (PEG analysis)?>

---

## 5. Top 5 Stocks by Momentum

| Rank | Ticker | Company | Mkt Cap | 1M Return | 3M Return | Fwd P/E | Analyst Rating | Signal |
|------|--------|---------|---------|-----------|-----------|---------|---------------|--------|
| 1 | <ticker> | <name> | $<X>B | +<X%> | +<X%> | <X>x | <rating> | <Buy/Hold/Sell> |
| 2 | <ticker> | <name> | $<X>B | +<X%> | +<X%> | <X>x | <rating> | <signal> |
| 3 | <ticker> | <name> | $<X>B | +<X%> | +<X%> | <X>x | <rating> | <signal> |
| 4 | <ticker> | <name> | $<X>B | +<X%> | +<X%> | <X>x | <rating> | <signal> |
| 5 | <ticker> | <name> | $<X>B | +<X%> | +<X%> | <X>x | <rating> | <signal> |

### Stock Spotlights

**#1 <TICKER> — <Company Name>**
<3-4 sentences on why this stock is leading the sector. What is driving the momentum? Is it sustainable? Key catalyst ahead.>

**#2 <TICKER> — <Company Name>**
<3-4 sentences.>

**#3 <TICKER> — <Company Name>**
<3-4 sentences.>

### Contrarian Picks (Laggards with Potential)
| Ticker | Company | 3M Return | Why It Could Turn |
|--------|---------|-----------|-------------------|
| <ticker> | <name> | -<X%> | <1-sentence thesis> |
| <ticker> | <name> | -<X%> | <1-sentence thesis> |

---

## 6. Rotation Signals

### Sectors Gaining Momentum (Rotate INTO)
| Sector | Signal Strength | Evidence |
|--------|----------------|----------|
| <sector> | Strong / Moderate | <e.g., "3-month relative strength breakout, fund inflows accelerating, cycle-favored"> |
| <sector> | Strong / Moderate | <evidence> |

### Sectors Losing Momentum (Rotate OUT OF)
| Sector | Signal Strength | Evidence |
|--------|----------------|----------|
| <sector> | Strong / Moderate | <e.g., "Relative strength breaking down, outflows for 4 consecutive weeks, late-cycle headwinds"> |
| <sector> | Strong / Moderate | <evidence> |

### Rotation Playbook
<3-5 sentences describing the current rotation thesis. Which sectors are institutions moving into and why? Which are they leaving? What macro narrative is driving the rotation? How long might this rotation persist?>

---

## 7. Sector Risk Factors

### Key Risks to This Sector
| Risk | Probability | Impact | Timeframe |
|------|-------------|--------|-----------|
| <risk 1 — e.g., "Rising interest rates compress valuations"> | <H/M/L> | <H/M/L> | <near/medium/long-term> |
| <risk 2> | <H/M/L> | <H/M/L> | <timeframe> |
| <risk 3> | <H/M/L> | <H/M/L> | <timeframe> |
| <risk 4> | <H/M/L> | <H/M/L> | <timeframe> |

### Sector-Specific Macro Sensitivity
- **Interest Rate Sensitivity:** <High/Medium/Low — explanation>
- **Dollar Sensitivity:** <High/Medium/Low — explanation>
- **Commodity Sensitivity:** <High/Medium/Low — explanation>
- **Regulatory Risk:** <High/Medium/Low — explanation>
- **Geopolitical Risk:** <High/Medium/Low — explanation>

---

## 8. Sector Scorecard

| Dimension | Score (1-10) | Notes |
|-----------|-------------|-------|
| Momentum (price trend) | <X> | <1-line> |
| Money Flow | <X> | <1-line> |
| Economic Cycle Fit | <X> | <1-line> |
| Relative Strength | <X> | <1-line> |
| Valuation | <X> | <1-line> |
| Breadth | <X> | <1-line> |
| Earnings Trend | <X> | <1-line> |
| **SECTOR SCORE** | **<avg>/10** | |

**Sector Signal:** <Overweight / Market Weight / Underweight>
**Conviction:** <High / Medium / Low>

---

## 9. Action Plan

### If Bullish on <SECTOR>:
- **ETF Play:** Buy <ETF> — broad sector exposure, liquid, low cost
- **Concentrated Play:** Top picks: <Ticker 1>, <Ticker 2>, <Ticker 3>
- **Options Play:** <e.g., "Buy XLK $200 calls, 60 DTE" or "Sell XLE puts at support">
- **Entry Timing:** <e.g., "Enter on next pullback to sector 20-day MA" or "Buy strength above $X">

### If Bearish on <SECTOR>:
- **Avoid/Reduce:** Trim exposure to <sector> names
- **Hedge:** <e.g., "Buy XLE puts" or "Short sector via inverse ETF">
- **Rotation Target:** Move capital into <alternative sector> instead

---

*Generated by AI Trading Analyst — Sector Rotation Engine*
*DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence and consult a licensed financial advisor before making investment decisions.*

Quality Standards

  1. Performance data must be recent. Sector rankings change weekly. Always note the date of data retrieval.
  2. Rankings must be internally consistent. The sector at rank 1 by 3-month momentum should match the data in other sections.
  3. Economic cycle assessment must be evidence-based. Cite specific indicators (ISM, GDP, yield curve) — not vibes.
  4. Stock picks must include rationale. Never list a top stock without explaining why it is there and what the catalyst is.
  5. Rotation signals require multiple confirmation. A valid rotation signal needs at least 2 of: price momentum shift, fund flow confirmation, economic cycle alignment.

Edge Cases

  • If user asks for a sub-sector (e.g., "semiconductors"): Treat it as a sub-sector within the parent GICS sector. Include the sub-sector ETF (e.g., SMH for semis) alongside the parent (XLK). Focus the deep dive on the sub-sector but include parent sector context.
  • If user asks for "rotation" without a specific sector: Generate the broad all-sector rotation overview. Focus on the ranking table, money flows across all sectors, and the top 2-3 rotation trades.
  • If economic data is mixed: Acknowledge the uncertainty. When cycle signals are conflicting, note that transition periods are the hardest to read and recommend reduced position sizes.
  • If a sector is dominated by 1-2 mega-caps (e.g., Technology): Call this out explicitly. Analyze both the equal-weight and cap-weight versions of the sector. A sector can look strong while most stocks in it are weak if the mega-caps are carrying it.

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-sector of zubair-trabzada/ai-trading-claude.

Open the folder on GitHubat commit c6d7252

Compare with similar skills

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Questions about Trade Sector

What does Trade Sector do?

Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where…. Trade Sector is an agent skill from zubair-trabzada/ai-trading-claude. Sector Rotation & Analysis — analyzes sector momentum rankings, money flows, economic cycle positioning, relative strength, top stocks per sector, valuations, and rotation signals to identify where institutional capital is moving.

When should I use Trade Sector?

Trade Sector fits situations like: tasks that involve Stock and market analysis.

How do I install Trade Sector in Claude Code?

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

How do I install Trade Sector in Codex?

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

Can I use Trade Sector 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-sector -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-sector, .gemini/skills/trade-sector, .github/skills/trade-sector and .opencode/skills/trade-sector in your project.

What does Trade Sector need to run?

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

Does Trade Sector 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 Sector 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 Sector use?

Trade Sector 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 Sector use?

About 4.3k tokens (SKILL.md is roughly 17k 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 Sector?

Skills that share tags, products or a category with Trade Sector: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trade Sector?

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.