# 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.

- Skill: `serennity007/trade-thesis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add serennity007/trade-thesis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/serennity007/trade-thesis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Serennity007 (https://skillmd.com/u/serennity007)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/serennity007/trade-thesis

---


# 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:

```markdown
# 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.>

**Probability:** <High / Medium / Low> (<X%>)
**Downside Impact:** <specific>
**Mitigation:** <specific>

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

**Probability:** <High / Medium / Low> (<X%>)
**Downside Impact:** <specific>
**Mitigation:** <specific>

**Bear Case Price Target:** $<price> (<-X%> downside)
**Bear Case Basis:** <1-sentence explanation>

---

## 3. Catalyst Timeline

| Date/Timeframe | Catalyst | Expected Impact | Probability |
|----------------|----------|-----------------|-------------|
| <date> | <event> | <Positive/Negative/Neutral — brief explanation> | <High/Med/Low> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |
| <date> | <event> | <impact> | <probability> |

**Nearest Catalyst:** <what and when>
**Most Important Catalyst:** <what, why it matters most>

---

## 4. Entry Strategy

### Ideal Entry Zone
- **Primary Entry:** $<price> — <reasoning, e.g., "50-day MA support + volume shelf">
- **Secondary Entry (aggressive):** $<price> — <reasoning>
- **Secondary Entry (conservative):** $<price> — <reasoning, e.g., "wait for pullback to 200-day MA">

### Order Strategy
- **Order Type:** <Limit / Market / Stop-Limit — with reasoning>
- **Scaling Plan:** <e.g., "33% at primary entry, 33% at secondary, 34% reserved for dips">
- **Time Condition:** <e.g., "Enter only if price holds above $X for 3 consecutive days">

### Entry Triggers (conditions that MUST be met)
1. <Trigger 1 — e.g., "RSI below 40 on daily timeframe">
2. <Trigger 2 — e.g., "Volume above 20-day average on green day">
3. <Trigger 3 — e.g., "No earnings within 14 days">

### Entry Invalidation (do NOT enter if)
1. <Condition — e.g., "Price breaks below $X support on heavy volume">
2. <Condition — e.g., "Insider selling accelerates">
3. <Condition — e.g., "Sector rotation signals turn negative">

---

## 5. Exit Strategy

### Profit Targets
| Target | Price | % Gain | Action | Reasoning |
|--------|-------|--------|--------|-----------|
| T1 | $<price> | +<X%> | Sell <X%> of position | <e.g., "Prior resistance level"> |
| T2 | $<price> | +<X%> | Sell <X%> of position | <e.g., "Bull case fair value"> |
| T3 | $<price> | +<X%> | Sell remaining | <e.g., "Stretch target — sector re-rating"> |

### Stop Loss Plan
- **Initial Stop Loss:** $<price> (<-X%> from entry) — <reasoning>
- **Stop Type:** <Hard stop / Mental stop / Trailing stop>
- **Trailing Stop:** After T1 is hit, move stop to <breakeven / entry + X%>
- **Trailing Stop Method:** <e.g., "Trail by 2x ATR" or "Trail below 20-day MA">

### Time Stop
- **Maximum Hold Period:** <e.g., "If thesis hasn't played out in 6 months, reassess regardless of P/L">
- **Reassessment Triggers:** <e.g., "Re-evaluate after each earnings report">

### Exit Signals (sell regardless of price)
1. <Signal — e.g., "Thesis-breaking news (loss of major customer, fraud, etc.)">
2. <Signal — e.g., "Fundamental deterioration: 2+ consecutive revenue misses">
3. <Signal — e.g., "Better opportunity identified (opportunity cost)">

---

## 6. Position Sizing

### Based on Account Risk
| Account Size | Max Risk (2%) | Position Size at Stop | # of Shares |
|-------------|---------------|----------------------|-------------|
| $10,000 | $200 | $<calculated> | <calculated> |
| $25,000 | $500 | $<calculated> | <calculated> |
| $50,000 | $1,000 | $<calculated> | <calculated> |
| $100,000 | $2,000 | $<calculated> | <calculated> |

**Calculation:** Position Size = (Account Size x Risk %) / (Entry Price - Stop Loss Price)

### Volatility-Adjusted Sizing
- **Current ATR (14-day):** $<value>
- **Volatility-Adjusted Stop:** <2x ATR> = $<value>
- **Adjusted Position Size (for $50K account):** <calculated shares>

### Sizing Recommendation
- **Conservative:** <X shares / $X position> (1% risk)
- **Moderate:** <X shares / $X position> (2% risk)
- **Aggressive:** <X shares / $X position> (3% risk)

> **Rule:** Never risk more than 2% of total account on a single trade. Never allocate more than 10% of portfolio to a single position.

---

## 7. Timeframe Classification

**Trade Type:** <Day Trade / Swing Trade (1-4 weeks) / Position Trade (1-6 months) / Investment (6+ months)>

**Reasoning:** <Why this timeframe is appropriate. Reference catalyst timeline, technical setup, and thesis duration.>

**Key Dates to Watch:**
- <Date 1>: <why it matters>
- <Date 2>: <why it matters>
- <Date 3>: <why it matters>

---

## 8. Asymmetry Assessment

### Risk/Reward Ratio
- **Upside to T1:** +<X%> ($<price>)
- **Downside to Stop:** -<X%> ($<price>)
- **Risk/Reward Ratio:** <X>:1

### Expected Value Calculation
| Scenario | Probability | Price Target | Return |
|----------|-------------|-------------|--------|
| Bull Case (T2+) | <X%> | $<price> | +<X%> |
| Base Case (T1) | <X%> | $<price> | +<X%> |
| Neutral (flat) | <X%> | $<price> | 0% |
| Bear Case (stop) | <X%> | $<price> | -<X%> |

**Expected Value:** <weighted average return>
**Expected Value Assessment:** <Positive EV / Negative EV / Marginal>

### Asymmetry Score
**Score: <X>/10** — <1-sentence explanation>
- 8-10: Exceptional asymmetry — limited downside, significant upside
- 5-7: Favorable asymmetry — reward justifies the risk
- 3-4: Marginal — risk and reward roughly balanced
- 1-2: Unfavorable — downside exceeds upside potential

---

## 9. Thesis Scorecard

| Dimension | Score (1-10) | Weight | Weighted |
|-----------|-------------|--------|----------|
| Business Quality | <X> | 15% | <calc> |
| Valuation | <X> | 20% | <calc> |
| Growth Trajectory | <X> | 15% | <calc> |
| Technical Setup | <X> | 15% | <calc> |
| Catalyst Clarity | <X> | 15% | <calc> |
| Risk/Reward | <X> | 20% | <calc> |
| **TOTAL** | | 100% | **<X>/10** |

**Thesis Conviction:** <Strong / Moderate / Weak>

---

## 10. Action Plan Summary

```
TICKER:        <TICKER>
DIRECTION:     <LONG / SHORT / AVOID>
ENTRY:         $<price> (limit order)
STOP LOSS:     $<price> (-<X%>)
TARGET 1:      $<price> (+<X%>) — sell <X%>
TARGET 2:      $<price> (+<X%>) — sell <X%>
TARGET 3:      $<price> (+<X%>) — sell remaining
RISK/REWARD:   <X>:1
POSITION SIZE: <X shares> ($<X>) for $50K account at 2% risk
TIMEFRAME:     <specific>
NEXT CATALYST: <event> on <date>
```

---

*Generated by AI Trading Analyst — Investment Thesis Generator*
*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. **No vague language.** Every claim must have a number, date, or specific reference. Replace "strong growth" with "revenue grew 23% YoY to $4.2B in Q3 2025."
2. **Balanced perspective.** The bear case must be as thoroughly researched as the bull case. If you cannot find meaningful risks, state that the lack of visible risk is itself a risk (complacency).
3. **Actionable entries.** Price levels must be derived from actual technical levels (moving averages, prior support/resistance, volume profiles) -- not arbitrary round numbers.
4. **Honest probability estimates.** Base probability estimates on historical base rates where possible. If a catalyst has never happened before, say so.
5. **Internally consistent.** The entry strategy, exit strategy, and position sizing must all work together. The stop loss used in position sizing must match the stop loss in the exit plan.
6. **Freshness.** If data is more than 1 trading day old, note this clearly. Markets move fast.

## Edge Cases

- **If the ticker is an ETF:** Adapt the thesis to focus on sector/thematic thesis rather than single-company fundamentals. Replace "competitive moat" with "tracking efficiency and expense ratio." Replace "earnings" with "underlying holdings performance."
- **If the ticker is a pre-revenue company:** Replace profitability metrics with cash runway analysis, TAM estimates, and pipeline milestones. Flag the speculative nature prominently.
- **If the ticker is a penny stock (<$5 or <$300M market cap):** Add a prominent warning about liquidity risk, manipulation risk, and wider bid-ask spreads. Adjust position sizing to account for higher volatility.
- **If data is limited:** Clearly state which sections have incomplete data and why. Never fabricate numbers. Use "Data unavailable" rather than guessing.

## Error Handling

- If WebSearch returns no useful results for a ticker, try alternative searches: full company name, ticker + exchange, related keywords.
- If the ticker does not appear to be a valid publicly traded security, inform the user and ask for clarification.
- If critical data (current price, market cap) cannot be found, do not generate the thesis. Instead, report what was found and what is missing.

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