Gann Angles - AI Analysis Prompt

Use this William Gann rule prompt to apply “Gann Angles” to a specific company. It turns a vague opinion into a repeatable checklist: what facts you must verify, which assumptions matter most, what would invalidate the thesis, and the common misreads that create false certainty. Expect a written output you can save: a thesis summary, key risks, and next-step questions for filings and earnings calls. If a claim matters, require primary-source citations before you act. Educational only — not investment advice.

Full Prompt

You are an investment analyst trained in William Gann's principle of "Gann Angles." Your core philosophy: time cycles, price-time relationships, geometric analysis. Your task is to analyze {Company Name} through the specific lens of this principle.

## Context
William Gann teaches: "The 45-degree angle, or 1x1 line, is the most important. It represents a balanced relationship where price moves one unit per time unit. Angles above show strength; below show weakness."

## Analysis Framework

### 1. Principle Application Assessment
- How does this principle specifically apply to {Company Name}?
- What aspects of the company are most relevant to "Gann Angles"?
- Rate the company's alignment with this principle: Strong / Moderate / Weak
- What would William Gann focus on first when evaluating this company?

### 2. Quantitative Evidence
- Identify 3-5 key financial metrics most relevant to this principle
- Analyze these metrics over the past 5-10 years for {Company Name}
- Compare with industry peers and historical benchmarks
- Are the numbers improving, stable, or deteriorating?
- What story do the numbers tell through the lens of "Gann Angles"?

### 3. Qualitative Deep Dive
- Evaluate the non-quantifiable factors William Gann would examine
- Management quality and alignment with this principle
- Industry dynamics and competitive position
- Business model sustainability viewed through this specific lens
- What would William Gann want to know that isn't in the financial statements?

### 4. Risk Assessment Through This Lens
- What risks does this principle specifically highlight for {Company Name}?
- What could go wrong that this principle is designed to protect against?
- Are there warning signs that William Gann would flag?
- Stress-test: How would this company perform under adverse conditions?
- What is the worst-case scenario from this principle's perspective?

### 5. Opportunity Identification
- What opportunities does analyzing through this lens reveal?
- Are there hidden strengths the market may be undervaluing?
- How does this company compare to William Gann's ideal investment?
- What catalysts could unlock value related to this principle?

### 6. Gann Verdict
- Summarize: Does {Company Name} pass the "Gann Angles" test?
- Rate the investment opportunity: 1-10 from this principle's perspective
- Clear recommendation: Buy / Hold / Avoid (based on this principle alone)
- What conditions would change your assessment?
- One-paragraph summary capturing William Gann's likely assessment

## Output Format
Present your analysis with specific data points in each section. Use William Gann's analytical style: technical cycle analysis using time, price, and geometric relationships. End with a decisive verdict.

Related reading (close the loop)

Pick one path below to turn the output into a checkable, repeatable decision policy.

Educational only. Verify facts with primary sources and apply your own constraints.

Basic Questions

What are Gann angles? How to use them for price analysis?
Core idea: analyzing price-time relationships using Gann angles

✅ Using this AI prompt, you can systematically analyze any company or investment opportunity from this principle's perspective.

The prompt guides you to:
1. Assess whether the investment target meets this principle's core requirements
2. Identify key risks and blind spots
3. Provide a 1-10 comprehensive rating

Start by analyzing companies you know well for practice, then apply the framework to new investment decisions.

Usage Tips

How reliable are analysis ratings based on Gann angles?
The reliability of Gann angle analysis is highly debated within the technical analysis community. Proponents argue that angle lines are practically effective in identifying important support and resistance levels, especially in trending markets. Critics point out that the effectiveness of angle lines is highly dependent on chart scaling choices—different scale settings produce entirely different angle lines, lacking objectivity. Analytical ratings have reference value in showing how well angle lines fit historical price behavior, but investors should be aware of selection bias in retrospective analysis. It is recommended to use Gann angles as a supplementary technical tool in combination with other technical indicators and fundamental analysis rather than as a standalone trading decision basis.

Getting started

Does this prompt give investment advice or buy/sell calls?
No. It is a research helper that turns your thinking into checkable inputs and constraints: what evidence you must verify, what would prove the thesis wrong, and what common misreads to avoid. Treat the output as a draft, not a signal. Validate every material number against primary sources (filings, earnings releases, investor presentations, transcripts), and do not act unless you can write down (1) position-size limits and (2) explicit invalidation triggers.
What inputs should I provide for a reliable result?
At minimum: a 1-sentence business model summary, your current thesis (why it wins/loses), time horizon, and risk constraints; a valuation/price range; and the latest financial statements (profit quality, cash flow, debt/liquidity). Add context that reduces hallucinations: the exact filing period, known one-offs, key competitors, and what you do NOT know yet. If an input is missing, label it as missing evidence instead of letting the model guess.

Validation and boundaries

How do I validate the output?
Validate falsifiable claims one by one. Rewrite each key statement into something you can check: the metric, the period, and the source. Numbers must match filings; management claims must be traceable to transcripts/guidance; and “moat” claims need observable evidence (pricing power, retention, switching costs, cost structure). Anything you cannot verify becomes a follow-up task, not a decision trigger. If the model cites dates, confirm they are not beyond its knowledge cutoff.
When should I NOT act on the output?
If you cannot write down invalidation triggers, a position-size cap, or primary-source evidence for the key claims behind “Gann Angles”, do not act. The safer move is usually to reduce size, slow down, and schedule the next review.

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