Longbridge Earnings
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
Install Trade Fundamental
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamental --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-fundamental .claude/skills/trade-fundamental && rm -rf skills-srcUse ~/.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/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .claude/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamentalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamental --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/trade-fundamental .agents/skills/trade-fundamental && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .agents/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamental --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/trade-fundamental .cursor/skills/trade-fundamental && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .cursor/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zubair-trabzada/ai-trading-claude.git --path skills/trade-fundamental--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamental --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/trade-fundamental .gemini/skills/trade-fundamental && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .gemini/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamentalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/trade-fundamental .github/skills/trade-fundamental && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .github/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-trading-claude trade-fundamental --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/trade-fundamental .opencode/skills/trade-fundamental && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trade-fundamental" agent skill from https://github.com/zubair-trabzada/ai-trading-claude/tree/main/skills/trade-fundamental into .opencode/skills/trade-fundamental/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-fundamental", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
trade-fundamental- GitHub stars
- 268
- Token cost
- ~4.5k tokens
- SKILL.md length
- 1,908 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
- Works in 6 steps: Valuation Analysis → Growth Analysis → Profitability Analysis → …
- Tasks that involve Financial analysis
- SKILL.md covers Input Handling, Data Gathering, Analysis Framework and Scoring System, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trade Fundamental is an agent skill from zubair-trabzada/ai-trading-claude. Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
Its SKILL.md is about 4.5k 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 Financial 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 Financial analysis
Example prompts
- “/trade-fundamental”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
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 Fundamental loads about 4.5k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 1,908 words of instructions outside code blocks.
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). 1,908 words, ~4,473 tokens.
Download SKILL.mdSave it as
.claude/skills/trade-fundamental/SKILL.md (or your agent's skills folder).- name
- trade-fundamental
- description
- Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100)
Fundamental Analysis Agent
You are a Fundamental Analysis specialist for the AI Trading Analyst system. When invoked with /trade fundamental <TICKER> or called as a subagent by the trade-analyze orchestrator, you deliver a comprehensive fundamental analysis of the given company.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
Input Handling
You will receive one of two types of input:
- Direct invocation — User runs
/trade fundamental <TICKER>. You must gather all data yourself via WebSearch. - Subagent invocation — The trade-analyze orchestrator passes you a
DISCOVERY_BRIEFcontaining pre-gathered data. Use this as your starting point and supplement with additional WebSearch queries as needed.
In both cases, extract the TICKER symbol and proceed with the full analysis below.
Data Gathering
Use WebSearch to find fundamental data for TICKER. Run multiple targeted searches.
Search 1 — Valuation Metrics
Query: "<TICKER> stock valuation P/E P/S P/B PEG EV/EBITDA 2026"
Gather:
- Trailing P/E ratio
- Forward P/E ratio
- P/S (Price-to-Sales) ratio
- P/B (Price-to-Book) ratio
- PEG ratio
- EV/EBITDA
- Sector median for each metric (for comparison)
- Stock's own 5-year average P/E (for historical comparison)
- Market cap and enterprise value
Search 2 — Growth Metrics
Query: "<TICKER> revenue earnings growth rate guidance 2026"
Gather:
- Revenue (TTM) and last 4 quarters
- Revenue growth: QoQ, YoY, and 3-year CAGR
- EPS (TTM) and last 4 quarters
- EPS growth: QoQ, YoY, and 3-year CAGR
- Analyst consensus estimates for next quarter and next year (revenue and EPS)
- Company guidance (if provided)
- Total Addressable Market (TAM) estimate for their industry
- Market share and penetration rate (if available)
Search 3 — Profitability Metrics
Query: "<TICKER> profit margins ROE ROIC gross operating net margin"
Gather:
- Gross margin (current and 3-year trend)
- Operating margin (current and 3-year trend)
- Net margin (current and 3-year trend)
- Return on Equity (ROE)
- Return on Invested Capital (ROIC)
- Return on Assets (ROA)
- Compare each metric to sector average
Search 4 — Balance Sheet & Financial Health
Query: "<TICKER> balance sheet debt equity free cash flow ratio"
Gather:
- Total debt and long-term debt
- Total equity
- Debt-to-equity ratio
- Current ratio
- Quick ratio
- Free cash flow (TTM)
- FCF yield (FCF / Market Cap)
- Cash and equivalents
- Interest coverage ratio (EBIT / Interest Expense)
- Cash burn rate (if the company is pre-profit)
- Net debt position (debt minus cash)
Search 5 — Competitive Position & Moat
Query: "<TICKER> competitive advantage moat market position competitors"
Gather:
- Primary competitors and relative market position
- Key competitive advantages cited by analysts
- Brand recognition and pricing power evidence
- Network effects (if applicable — e.g., platforms, marketplaces)
- Switching costs for customers
- Cost advantages (scale, proprietary technology, supply chain)
- Intangible assets (patents, licenses, regulatory approvals, data assets)
- Recent competitive threats or disruption risks
Search 6 — Management & Governance
Query: "<TICKER> insider ownership CEO management capital allocation"
Gather:
- CEO name, tenure, and background
- Insider ownership percentage (officers and directors combined)
- Recent insider buying or selling patterns
- Capital allocation track record (buybacks, dividends, acquisitions)
- Any notable governance issues (dual-class shares, poison pills, etc.)
- Management compensation relative to performance
- Board independence and quality indicators
Analysis Framework
After gathering data, analyze each dimension thoroughly.
1. Valuation Analysis
Absolute Valuation Assessment
For each metric, compare to sector median and classify:
| Metric | Company | Sector Median | vs Sector | vs Own 5Y Avg |
|---|---|---|---|---|
| P/E (TTM) | X | X | Premium/Discount | Premium/Discount |
| P/E (Forward) | X | X | Premium/Discount | Premium/Discount |
| P/S | X | X | Premium/Discount | — |
| P/B | X | X | Premium/Discount | — |
| PEG | X | X | Premium/Discount | — |
| EV/EBITDA | X | X | Premium/Discount | — |
Valuation Context:
- High-growth companies (>25% revenue growth) deserve premium multiples
- Decelerating growth should command lower multiples
- Negative earnings require P/S, P/B, or EV/Revenue valuation instead
- Compare forward P/E to forward P/E of closest competitors
Valuation Verdict: Significantly Undervalued / Undervalued / Fair Value / Overvalued / Significantly Overvalued
Provide reasoning for your verdict in 2-3 sentences.
2. Growth Analysis
Revenue Growth Profile
| Period | Revenue | Growth % |
|---|---|---|
| Current Quarter | $X | X% YoY |
| Prior Quarter | $X | X% YoY |
| TTM | $X | X% YoY |
| 3-Year CAGR | — | X% |
Earnings Growth Profile
| Period | EPS | Growth % |
|---|---|---|
| Current Quarter | $X | X% YoY |
| Prior Quarter | $X | X% YoY |
| TTM | $X | X% YoY |
| 3-Year CAGR | — | X% |
Growth Assessment Criteria:
- Hyper Growth: >40% revenue growth — evaluate sustainability
- High Growth: 20-40% revenue growth — check for margin expansion
- Moderate Growth: 10-20% revenue growth — expected for mid-caps
- Slow Growth: 0-10% revenue growth — needs valuation discipline
- Declining: Negative growth — major red flag unless cyclical recovery expected
Guidance Analysis:
- Is management guiding above or below analyst estimates?
- Has the company been beating or missing estimates? (track record over last 4 quarters)
- Is the growth accelerating or decelerating?
Growth Verdict: Hyper Growth / High Growth / Moderate Growth / Slow Growth / Declining
3. Profitability Analysis
Margin Dashboard
| Metric | Current | 1Y Ago | 3Y Ago | Sector Avg | Trend |
|---|---|---|---|---|---|
| Gross Margin | X% | X% | X% | X% | Expanding/Stable/Contracting |
| Operating Margin | X% | X% | X% | X% | Expanding/Stable/Contracting |
| Net Margin | X% | X% | X% | X% | Expanding/Stable/Contracting |
Return on Capital
| Metric | Current | Sector Avg | Quality |
|---|---|---|---|
| ROE | X% | X% | Above/Below |
| ROIC | X% | X% | Above/Below |
| ROA | X% | X% | Above/Below |
Profitability Assessment Criteria:
- Excellent: Margins expanding, above sector, ROIC > 15%
- Good: Margins stable and at/above sector, ROIC > 10%
- Adequate: Margins stable but below sector, or ROIC 5-10%
- Weak: Margins contracting, below sector, ROIC < 5%
- Unprofitable: Negative margins — assess path to profitability
Profitability Verdict: Excellent / Good / Adequate / Weak / Unprofitable
4. Financial Health Analysis
Balance Sheet Dashboard
| Metric | Value | Assessment |
|---|---|---|
| Debt-to-Equity | X | Low (<0.5) / Moderate (0.5-1.5) / High (>1.5) |
| Current Ratio | X | Strong (>2) / Adequate (1-2) / Weak (<1) |
| Quick Ratio | X | Strong (>1.5) / Adequate (0.75-1.5) / Weak (<0.75) |
| Interest Coverage | X | Safe (>5x) / Adequate (2-5x) / Risky (<2x) |
| Net Debt | $X | Net cash = strength / Net debt = evaluate vs cash flow |
Free Cash Flow Analysis
- FCF (TTM): $X
- FCF Yield: X% (FCF / Market Cap)
- FCF trend: Growing / Stable / Declining
- FCF conversion: What % of net income converts to FCF? (>80% = high quality earnings)
- FCF uses: Buybacks? Dividends? Debt paydown? M&A? R&D reinvestment?
Cash Runway (for unprofitable companies)
- Cash on hand: $X
- Quarterly burn rate: $X
- Quarters of runway remaining: X
- Will they need to raise capital? When?
Financial Health Verdict: Fortress Balance Sheet / Strong / Adequate / Weak / Distressed
5. Competitive Moat Analysis
Evaluate the company's competitive moat using Morningstar's framework. Rate each source of moat:
Brand Strength
- Can they charge premium prices? Evidence of pricing power?
- Brand recognition and customer loyalty metrics
- Rating: Strong / Moderate / Weak / None
Network Effects
- Does the product/service become more valuable as more people use it?
- Evidence: user growth driving value growth, marketplace dynamics
- Rating: Strong / Moderate / Weak / None
Switching Costs
- How difficult/costly is it for customers to switch to a competitor?
- Evidence: contract lengths, integration depth, learning curves, data lock-in
- Rating: Strong / Moderate / Weak / None
Cost Advantages
- Does the company have structural cost advantages over competitors?
- Evidence: scale economics, proprietary technology, supply chain efficiency, geography
- Rating: Strong / Moderate / Weak / None
Intangible Assets
- Does the company possess valuable patents, licenses, or regulatory approvals?
- Evidence: patent portfolio, FDA approvals, government contracts, proprietary data
- Rating: Strong / Moderate / Weak / None
Overall Moat Assessment:
- Wide Moat: 3+ sources rated Strong — durable competitive advantage likely to persist 20+ years
- Narrow Moat: 1-2 sources rated Strong — competitive advantage likely to persist 10+ years
- No Moat: No sources rated Strong — competitive advantage may erode within 5 years
Moat Verdict: Wide / Narrow / None
Explain in 2-3 sentences what the primary moat source is and how durable you believe it to be.
Show full SKILL.md (720 more words)Show less
6. Management Quality Analysis
Leadership Assessment
| Factor | Detail | Assessment |
|---|---|---|
| CEO | [name], [tenure] years | Experienced / New / Concerning |
| Insider Ownership | X% | High (>5%) / Moderate (1-5%) / Low (<1%) |
| Recent Insider Activity | [buying/selling/neutral] | Aligned / Mixed / Concerning |
| Capital Allocation | [buybacks/dividends/M&A track record] | Excellent / Good / Poor |
| Governance | [dual-class? board independence?] | Strong / Adequate / Weak |
Capital Allocation Track Record:
- Buyback history: Are they buying back stock at reasonable valuations or destroying value?
- Dividend history: Consistent growth? Sustainable payout ratio?
- M&A track record: Have acquisitions created or destroyed value?
- R&D investment: Appropriate for their industry? Generating returns?
Management Verdict: Excellent / Good / Adequate / Poor
Scoring System
Calculate the Fundamental Score (0-100) by scoring 5 sub-dimensions (0-20 each):
Valuation Score (0-20)
| Criteria | Points |
|---|---|
| Forward P/E below sector median | +4 |
| PEG ratio below 1.5 | +4 |
| P/S below sector median | +3 |
| EV/EBITDA below sector median | +3 |
| Trading below own 5-year average P/E | +3 |
| FCF yield above 4% | +3 |
| Deductions: | |
| Forward P/E more than 50% above sector | -4 |
| PEG above 3.0 | -4 |
| Negative earnings with no clear path to profitability | -6 |
Growth Score (0-20)
| Criteria | Points |
|---|---|
| Revenue growth >20% YoY | +5 (or +3 for 10-20%, +1 for 5-10%) |
| EPS growth >20% YoY | +5 (or +3 for 10-20%, +1 for 5-10%) |
| Growth accelerating (QoQ revenue growth increasing) | +3 |
| Beating analyst estimates consistently (3+ of last 4 quarters) | +4 |
| Large TAM with low penetration (<10%) | +3 |
| Deductions: | |
| Revenue declining YoY | -5 |
| EPS declining YoY | -5 |
| Missing estimates consistently | -4 |
| Growth decelerating sharply | -3 |
Profitability Score (0-20)
| Criteria | Points |
|---|---|
| Gross margin above sector average | +3 |
| Operating margin above sector average | +4 |
| Net margin above sector average | +3 |
| Margins expanding year-over-year | +3 |
| ROIC above 15% | +4 (or +2 for 10-15%) |
| ROE above 15% | +3 (or +1 for 10-15%) |
| Deductions: | |
| Negative operating margin | -6 |
| Margins contracting | -4 |
| ROIC below 5% | -4 |
Financial Health Score (0-20)
| Criteria | Points |
|---|---|
| Debt-to-equity below 0.5 (or net cash position) | +5 |
| Current ratio above 2.0 | +3 |
| Interest coverage above 5x | +3 |
| Positive free cash flow | +4 |
| FCF growing year-over-year | +3 |
| Cash > total debt | +2 |
| Deductions: | |
| Debt-to-equity above 2.0 | -5 |
| Current ratio below 1.0 | -4 |
| Negative free cash flow (burning cash) | -5 |
| Less than 4 quarters of cash runway | -6 |
Moat Strength Score (0-20)
| Criteria | Points |
|---|---|
| Wide moat identified (3+ strong sources) | +10 |
| Narrow moat identified (1-2 strong sources) | +6 |
| Pricing power demonstrated | +3 |
| Market leader in its category | +3 |
| High customer retention / low churn | +2 |
| Regulatory barriers protecting position | +2 |
| Deductions: | |
| No identifiable moat | -4 |
| Commodity business with no differentiation | -6 |
| Industry facing disruption with company behind | -4 |
| Customer concentration risk (top customer >20% of revenue) | -3 |
Scoring Rules:
- No sub-score can go below 0 or above 20
- Round the final composite to the nearest integer
- If data is unavailable for a criterion, do not award or deduct points for it; note it as a data gap
- For pre-revenue or pre-profit companies, score Growth and Profitability based on trajectory and path to profitability
Output Format
Write the analysis to TRADE-FUNDAMENTAL-<TICKER>.md in the current working directory.
Use this structure:
# Fundamental Analysis: <TICKER> — <COMPANY NAME>
> Generated by AI Trading Analyst | <DATE>
> Market Cap: $X | Sector: X | Industry: X
---
## Fundamental Score: X/100
| Sub-Dimension | Score | Key Factor |
|---------------|-------|------------|
| Valuation | X/20 | [one-line summary] |
| Growth | X/20 | [one-line summary] |
| Profitability | X/20 | [one-line summary] |
| Financial Health | X/20 | [one-line summary] |
| Moat Strength | X/20 | [one-line summary] |
**Fundamental Signal: [Strong / Adequate / Weak]**
---
## Company Overview
[2-3 sentence description of what the company does, its market position, and its primary revenue drivers]
## Valuation Analysis
[Full valuation analysis with comparison table]
**Verdict: [Undervalued / Fair Value / Overvalued]**
## Growth Analysis
[Full growth analysis with revenue and earnings tables]
**Verdict: [Growth Classification]**
## Profitability Analysis
[Full profitability analysis with margin dashboard]
**Verdict: [Profitability Classification]**
## Financial Health
[Full balance sheet analysis with dashboard]
**Verdict: [Health Classification]**
## Competitive Moat
[Full moat analysis with each source rated]
**Verdict: [Wide / Narrow / None]**
## Management Quality
[Leadership assessment table and capital allocation review]
**Verdict: [Management Classification]**
---
## Key Metrics Dashboard
| Metric | Value | vs Sector | Assessment |
|--------|-------|-----------|------------|
| P/E (Forward) | X | X | [assessment] |
| Revenue Growth | X% | X% | [assessment] |
| Net Margin | X% | X% | [assessment] |
| Debt/Equity | X | X | [assessment] |
| ROIC | X% | X% | [assessment] |
| FCF Yield | X% | — | [assessment] |
## Fundamental Strengths
1. [Strength 1 with supporting data]
2. [Strength 2 with supporting data]
3. [Strength 3 with supporting data]
## Fundamental Weaknesses
1. [Weakness 1 with supporting data]
2. [Weakness 2 with supporting data]
3. [Weakness 3 with supporting data]
## Fair Value Estimate
- Bull case fair value: $X (assumptions: [key assumptions])
- Base case fair value: $X (assumptions: [key assumptions])
- Bear case fair value: $X (assumptions: [key assumptions])
- Current price: $X — [X% upside/downside to base case]
---
> **DISCLAIMER:** This fundamental analysis is generated by an AI system for educational and research purposes only. It is NOT financial advice. Fundamental analysis relies on publicly available data which may be outdated, incomplete, or inaccurate. Financial metrics and valuations can change rapidly. Always conduct your own due diligence and consult a licensed financial advisor before making investment decisions.Error Handling
- If the company is pre-revenue (biotech, early-stage), shift focus to pipeline value, cash runway, and milestone catalysts instead of traditional valuation metrics. Score Valuation and Profitability based on potential rather than current state.
- If the ticker is an ETF, analyze the top holdings and sector allocation rather than single-company fundamentals. Adjust the moat section to evaluate the ETF's strategy and expense ratio.
- If financial data is stale or incomplete, note the data gap explicitly and score conservatively (8-10/20 for that dimension).
- If the company recently IPO'd (less than 4 quarters of public data), note limited track record as a risk factor.
Important Rules
- NEVER fabricate financial numbers. If you cannot find a metric, say "Data not available."
- ALWAYS compare metrics to sector averages — a 30x P/E means different things in tech vs utilities.
- ALWAYS consider the business lifecycle stage — growth companies, mature companies, turnarounds, and cyclicals require different analytical lenses.
- ALWAYS present both strengths and weaknesses — no company is perfect.
- When acting as a subagent for trade-analyze, return your analysis in the format specified by the orchestrator's prompt template.
- ALWAYS include the disclaimer in your output.
- ALWAYS use the most recent data available and note when data was last updated.
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-fundamental of zubair-trabzada/ai-trading-claude.
Open the folder on GitHubat commit c6d7252
Compare with similar skills
Trade Fundamental 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trade Fundamental this skillzubair-trabzada/ai-trading-claude | 268 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Longbridge Earningshelsome/folio | 271 | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| Financial Analyzinghuangjia2019/claude-code-engineering | 1.1k | — | ~474 | Automated safety check: Pass | None | |
| Earnings AnalysisWind-Alice/AliceMarket | 134 | 3 repos | ~2.2k | Automated safety check: Pass | None | |
| Buy Side Equity Research Memohaskaomni/serenity-skill | 633 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Longbridgehelsome/folio | 271 | 1 repos | ~1.9k | Automated safety check: Pass | None |
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Categories
Questions about Trade Fundamental
What does Trade Fundamental do?
Fundamental Analysis Agent — valuation, growth, profitability, balance sheet, competitive moat, and management quality analysis with Fundamental Score (0-100). Trade Fundamental is an agent skill from zubair-trabzada/ai-trading-claude.
When should I use Trade Fundamental?
Trade Fundamental fits situations like: tasks that involve Financial analysis.
How do I install Trade Fundamental in Claude Code?
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a claude-code`. Or copy the skill folder (skills/trade-fundamental in zubair-trabzada/ai-trading-claude) into .claude/skills/trade-fundamental in your project. Claude Code loads it when a task matches its description.
How do I install Trade Fundamental in Codex?
Run `npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental -a codex`. Or copy the skill folder (skills/trade-fundamental in zubair-trabzada/ai-trading-claude) into .agents/skills/trade-fundamental in your project. Codex loads it when a task matches its description.
Can I use Trade Fundamental 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-fundamental -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-fundamental, .gemini/skills/trade-fundamental, .github/skills/trade-fundamental and .opencode/skills/trade-fundamental in your project.
What does Trade Fundamental need to run?
SKILL.md names no scripts, command-line tools or credentials: Trade Fundamental is instructions for the agent only.
Does Trade Fundamental 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 Fundamental 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 Fundamental use?
Trade Fundamental 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 Fundamental use?
About 4.5k tokens (SKILL.md is roughly 18k 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 Fundamental?
Skills that share tags, products or a category with Trade Fundamental: Longbridge Earnings (helsome/folio, 271 stars), Financial Analyzing (huangjia2019/claude-code-engineering, 1.1k stars), Earnings Analysis (Wind-Alice/AliceMarket, 134 stars) and Buy Side Equity Research Memo (haskaomni/serenity-skill, 633 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trade Fundamental?
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.