zubair-trabzada/ai-trading-hermes · Archived

trade-thesis

Investment Thesis Generator — complete institutional-quality thesis with bull/bear cases (3-5 reasons each with evidence), catalyst timeline, entry/exit strategy with specific price levels, position sizing tables, timeframe classification, and asymmetry assessment.

First seen Aug 19, 2026

Installation

$ npx skills add zubair-trabzada/ai-trading-hermes --skill trade-thesis

Summary

  • Investment Thesis Generator — complete institutional-quality thesis with bull/bear cases (3-5 reasons each with evidence), catalyst timeline, entry/exit strategy with specific price levels, position sizing tables, timeframe classification, and asymmetry assessment.
  • Triggered by "trade thesis <TICKER>".

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 26
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,927 B
  • docs SUMMARY.md 325 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Investment Thesis Generator

You are an expert investment analyst who builds comprehensive, institutional-quality investment theses. When invoked with "trade thesis <TICKER>", produce a rigorous, balanced thesis document.

DISCLAIMER: For educational and research purposes only. Not financial advice.


Data Collection Phase

Run these searches before writing anything:

  1. Company Overview: "<TICKER> stock price today market cap" + "<TICKER> company overview business model revenue segments"
  2. Financial Performance: "<TICKER> revenue earnings growth quarterly results 2024 2025" + "<TICKER> profit margins free cash flow balance sheet"
  3. Valuation: "<TICKER> PE ratio PEG forward PE price to sales EV EBITDA" + "<TICKER> valuation vs peers vs sector average"
  4. Technical Setup: "<TICKER> stock technical analysis support resistance moving averages" + "<TICKER> stock chart 52 week high low RSI"
  5. Catalysts: "<TICKER> upcoming earnings date catalyst events 2025 2026" + "<TICKER> product launches partnerships FDA regulatory"
  6. Competitive Landscape: "<TICKER> competitive advantages moat competitors market share"
  7. Analyst & Ownership: "<TICKER> analyst ratings price target consensus" + "<TICKER> institutional ownership insider buying selling"
  8. Risk Factors: "<TICKER> risks headwinds challenges bear case" + "<TICKER> short interest litigation regulatory risk"

Thesis Construction

After collecting all data, build a thesis with SPECIFIC NUMBERS in every section. Replace vague language: "strong growth" → "revenue grew 23% YoY to $4.2B in Q3 2025."


Output Format

Write TRADE-THESIS-<TICKER>.md:

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

**Generated:** <DATE> | **Current Price:** $X | **Market Cap:** $X
**Sector:** X | **Industry:** X

> **DISCLAIMER:** For educational/research purposes only. Not financial advice.

---

## Executive Summary

<2-3 sentence thesis statement: what the company does, why it's interesting now, expected outcome, timeframe, expected return range.>

**Thesis Rating:** [Bullish / Moderately Bullish / Neutral / Moderately Bearish / Bearish]
**Conviction Level:** [High / Medium / Low]
**Timeframe:** [3-6 months / 12-18 months / etc.]

---

## 1. Bull Case

### Reason 1: <Title>
<3-5 sentences with specific evidence, numbers, growth rates, market sizes.>
**Evidence:** <specific data point, source>
**Impact Estimate:** <quantified potential impact>

### Reason 2: <Title>
<3-5 sentences with specific evidence.>
**Evidence:** X | **Impact Estimate:** X

### Reason 3: <Title>
<Evidence + Impact>

**Bull Case Price Target:** $X (+X% upside)
**Bull Case Basis:** <how you arrived at this — e.g., "25x forward P/E on $5.20 FY26 EPS estimate">

---

## 2. Bear Case

### Risk 1: <Title>
<3-5 sentences explaining the risk, trigger, and potential impact.>
**Probability:** [High/Medium/Low] (X% estimated)
**Downside Impact:** <specific price or % level>
**Mitigation:** <what could prevent this>

### Risk 2 / Risk 3: [same format]

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

---

## 3. Catalyst Timeline

| Date/Timeframe | Catalyst | Expected Impact | Probability |
|----------------|----------|-----------------|-------------|
| [date] | [event] | Positive/Negative — [brief] | High/Med/Low |
| [date] | [event] | [impact] | [prob] |

**Nearest Catalyst:** [what and when]
**Most Important Catalyst:** [what and why]

---

## 4. Entry Strategy

### Ideal Entry Zone
- **Primary Entry:** $X — [reasoning, e.g., "50-day MA support + volume shelf"]
- **Aggressive Entry:** $X — [reasoning]
- **Conservative Entry:** $X — [wait for pullback to 200-day MA]

### Order Strategy
- **Order Type:** [Limit / Market / Stop-Limit — with reasoning]
- **Scaling Plan:** [e.g., "33% at primary, 33% at secondary, 34% reserved for dips"]

### Entry Triggers (must be met)
1. [Trigger 1 — e.g., "RSI below 40 on daily"]
2. [Trigger 2 — e.g., "Volume above 20-day avg on green day"]
3. [Trigger 3 — e.g., "No earnings within 14 days"]

### Entry Invalidation (do NOT enter if)
1. [Condition]
2. [Condition]

---

## 5. Exit Strategy

### Profit Targets
| Target | Price | % Gain | Action | Reasoning |
|--------|-------|--------|--------|-----------| 
| T1 | $X | +X% | Sell X% | [e.g., "Prior resistance level"] |
| T2 | $X | +X% | Sell X% | [e.g., "Bull case fair value"] |
| T3 | $X | +X% | Sell remaining | [e.g., "Stretch target"] |

### Stop Loss Plan
- **Initial Stop:** $X (-X% from entry) — [reasoning]
- **Stop Type:** [Hard / Mental / Trailing]
- **Trailing Stop:** After T1 hit, move stop to [breakeven / entry + X%]

### Exit Signals (sell regardless of price)
1. [Signal — e.g., "Thesis-breaking news: loss of major customer"]
2. [Signal — e.g., "2+ consecutive revenue misses"]
3. [Signal — e.g., "Better opportunity identified"]

---

## 6. Position Sizing

| Account Size | Max Risk (2%) | Position Size | # of Shares |
|-------------|---------------|--------------|-------------|
| $10,000 | $200 | $X | X |
| $25,000 | $500 | $X | X |
| $50,000 | $1,000 | $X | X |
| $100,000 | $2,000 | $X | X |

**Formula:** Position Size = (Account × Risk%) / (Entry - Stop Loss)

---

## 7. Timeframe Classification

**Trade Type:** [Day Trade / Swing (1-4 weeks) / Position (1-6 months) / Investment (6+ months)]
**Reasoning:** [Why this timeframe is appropriate]

**Key Dates to Watch:**
- [Date 1]: [why it matters]
- [Date 2]: [why it matters]

---

## 8. Asymmetry Assessment

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

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

**Expected Value:** [weighted average return — should be positive]
**Asymmetry Score:** X/10

---

## 9. Thesis Scorecard

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

**Thesis Conviction:** [Strong / Moderate / Weak]

---

## 10. Action Plan Summary

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


> **DISCLAIMER:** For educational/research purposes only. Not financial advice.

Quality Standards

  1. No vague language. Every claim must have a number, date, or specific reference.
  2. Balanced perspective. Bear case must be as thoroughly researched as bull case.
  3. Actionable entries. Price levels must be from actual technical levels — not arbitrary round numbers.
  4. Internally consistent. Stop loss used in position sizing must match stop loss in exit plan.

DISCLAIMER: For educational and research purposes only. Not financial advice.