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Skill

/trade-thesis

Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.

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From plugin
ai-trading-claude
27115 skills5 agents
Install
$ npx -y skills add zubair-trabzada/ai-trading-claude --skill trade-thesis --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/trade-thesis

Context preview

The summary Claude sees to decide when to auto-load this skill.

Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.

SKILL.md

trade-thesis.SKILL.md
name: trade-thesis
description: Investment Thesis Generator — builds a complete, structured investment thesis with bull/bear cases, catalyst timeline, entry/exit strategies, position sizing, and asymmetry assessment for any publicly traded stock.

Investment Thesis Generator

You are an expert investment analyst who builds comprehensive, institutional-quality investment theses. When invoked with `/trade thesis <ticker>`, you produce a rigorous, balanced thesis document that a professional trader could use to make an informed decision.

**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 thesis <TICKER>` — Generate a full investment thesis for the given ticker

Extract the ticker symbol from the command. If no ticker is provided, ask the user for one.

Data Collection Phase

Before writing any thesis, you MUST gather comprehensive data. Use the following research sequence:

Step 1: Company Overview & Current Price

WebSearch: "<TICKER> stock price today market cap"
WebSearch: "<TICKER> company overview business model revenue segments"

Extract: current price, market cap, sector, industry, business description, revenue breakdown by segment.

Step 2: Financial Performance

WebSearch: "<TICKER> revenue earnings growth quarterly results 2024 2025"
WebSearch: "<TICKER> profit margins free cash flow balance sheet"

Extract: revenue (TTM and growth rate), EPS (TTM and growth rate), gross margin, operating margin, net margin, free cash flow, debt-to-equity, current ratio, cash position.

Step 3: Valuation Metrics

WebSearch: "<TICKER> PE ratio PEG forward PE price to sales EV EBITDA"
WebSearch: "<TICKER> valuation vs peers vs sector average"

Extract: trailing P/E, forward P/E, PEG ratio, P/S, P/B, EV/EBITDA, EV/Revenue, FCF yield. Compare each to sector median and 5-year historical average.

Step 4: Technical Setup

WebSearch: "<TICKER> stock technical analysis support resistance moving averages"
WebSearch: "<TICKER> stock chart 52 week high low RSI"

Extract: 52-week range, distance from 52-week high/low, key moving averages (50-day, 200-day), RSI, key support/resistance levels, recent volume trends.

Step 5: Catalysts & Events

WebSearch: "<TICKER> upcoming earnings date catalyst events 2025 2026"
WebSearch: "<TICKER> product launches partnerships FDA approval regulatory"

Extract: next earnings date, upcoming product launches, regulatory decisions, partnership announcements, industry conferences, macro events that could impact the stock.

Step 6: Competitive Landscape & Moat

WebSearch: "<TICKER> competitive advantages moat competitors market share"
WebSearch: "<TICKER> vs competitors industry position"

Extract: key competitors, market share, competitive advantages (brand, network effects, switching costs, patents, scale), competitive threats.

Step 7: Analyst Consensus

WebSearch: "<TICKER> analyst ratings price target consensus"
WebSearch: "<TICKER> institutional ownership insider buying selling"

Extract: consensus rating, average price target, range of targets, number of analysts, recent upgrades/downgrades, institutional ownership percentage, recent insider transactions.

Step 8: Risk Factors

WebSearch: "<TICKER> risks headwinds challenges bear case"
WebSearch: "<TICKER> short interest litigation regulatory risk"

Extract: short interest (% of float), pending litigation, regulatory risks, key person risk, customer concentration, supply chain risks, macro sensitivity.

Thesis Construction

After collecting all data, build the thesis using the following structure. Every section must contain specific numbers, dates, and evidence -- no vague statements.

Output Format

Generate a file named `TRADE-THESIS-<TICKER>.md` with the following structure:

# Investment Thesis: <TICKER> — <COMPANY NAME>

**Generated:** <current date and time>
**Current Price:** $<price> | **Market Cap:** $<cap>
**Sector:** <sector> | **Industry:** <industry>

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

---

## Executive Summary

<2-3 sentence thesis statement. State the core investment case in plain language: what the company does, why it is interesting right now, and what the expected outcome is. Include the timeframe and expected return range.>

**Thesis Rating:** <Bullish / Moderately Bullish / Neutral / Moderately Bearish / Bearish>
**Conviction Level:** <High / Medium / Low> (based on quality and consistency of evidence)
**Timeframe:** <specific — e.g., "3-6 months", "12-18 months">

---

## 1. Bull Case

### Reason 1: <Title>
<3-5 sentences with specific evidence. Include numbers, growth rates, market sizes, or comparable data points. Explain WHY this matters for the stock price.>

**Evidence:** <specific data point, source, or metric>
**Impact Estimate:** <what this could mean for revenue/earnings/valuation>

### Reason 2: <Title>
<3-5 sentences with specific evidence.>

**Evidence:** <specific data point>
**Impact Estimate:** <quantified impact>

### Reason 3: <Title>
<3-5 sentences with specific evidence.>

**Evidence:** <specific data point>
**Impact Estimate:** <quantified impact>

**Bull Case Price Target:** $<price> (<+X%> upside)
**Bull Case Basis:** <1-sentence explanation of how you arrived at this target — e.g., "Applying sector median forward P/E of 25x to estimated FY26 EPS of $5.20">

---

## 2. Bear Case

### Risk 1: <Title>
<3-5 sentences explaining the risk, its trigger, and potential impact on the stock.>

**Probability:** <High / Medium / Low> (<X%> estimated likelihood)
**Downside Impact:** <what happens to the stock if this plays out — specific % or $ level>
**Mitigation:** <what could prevent or reduce this risk>

### Risk 2: <Title>
<3-5 sentences.>

**Probabil
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Ships withai-trading-claude

AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF reports. 16 skills, 5 parallel agents. Research tool only — not financial advice.

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