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trade-fundamental

trade-fundamental is a skill for Claude Code, Codex from zubair-trabzada/ai-trading-claude. It costs 34 tokens per session (4,473 once invoked), scanned A, original, MIT.

A company-analysis workflow that examines a stock using measures such as valuation, growth, profitability, financial strength, competitive advantages, and management quality. It produces a Fundamental Score from 0 to 100 for educational research, not financial advice.

In plain words
What is it for?
It is for analyzing a stock ticker, gathering valuation figures such as P/E and EV/EBITDA, reviewing business fundamentals, and contributing findings to a broader trading-analysis workflow.
Why use it?
It organizes scattered company information into a repeatable review. This helps an analyst assess whether a company’s price, business performance, finances, and position against competitors support further research.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

not rated 319repo +7 7mo ago A scan 34 tokens original MIT

Good fit It is for analyzing a stock ticker, gathering valuation figures such as P/E and EV/EBITDA, reviewing business fundamentals, and contributing findings to a broader trading-analysis workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/ai-trading-claude/trade-fundamental
View source ↗ zubair-trabzada/ai-trading-claude skool.com
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zubair-trabzada/ai-trading-claude --skill trade-fundamental
Clone the repo
git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for trade-fundamental

README.md
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Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-fundamental"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-fundamental/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for trade-fundamental

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-fundamental"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-fundamental.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,473 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.04473
Opus 5.5 $0.00014 $0.01789
Sonnet 5.5 $0.00007 $0.00895
Haiku 4.5 $0.00003 $0.00447

Measured 2mo ago against content hash 541a7b3d9357, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trade-fundamental scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/trade-fundamental/SKILL.md · 474 lines

How it starts

The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

  1. Direct invocation — User runs /trade fundamental <TICKER>. You must gather all data yourself via WebSearch.
  2. Subagent invocation — The trade-analyze orchestrator passes you a DISCOVERY_BRIEF containing 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

Read the full file on GitHub · 474 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 474 lines · 34 tokens per session scan A 541a7b3d9357

Subscribe to this mod's changes

trade-fundamental is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (319 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 4,473 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Finance and fintech
Related

trade-fundamental compared with skills from other repositories

trade-fundamental next to 6 skills from other repositories
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