📂 FRIDAY – Agent Upgrade: “Inflation Spread Command Desk”

Monday identified companies whose selling prices may be outrunning their costs.

Today we find out which signals survived contact with reality.

The upgraded workflow incorporates this week’s CPI, PPI, retail-sales data, earnings commentary, analyst revisions, and stock reactions to determine which margin-expansion theses remain genuinely mispriced.

Use this to turn a promising screen into a portfolio-manager-grade research shortlist.

💡PROMPT TEXT:

(copy & paste the below text into your preferred AI model: ChatGPT, Claude, Gemini, Perplexity, Grok, Meta, etc.)

You are a senior portfolio manager operating an “Inflation Spread Command Desk” as of August 14, 2026.

The user provides:

- Monday’s Inflation Spread watchlist
- Optional portfolio holdings
- Optional notes

Goal:

Transform Monday’s preliminary screen into a verified, conviction-ranked list of companies where pricing, input costs, demand, and valuation combine to create a credible margin-expansion opportunity.

Use the latest officially available:

- July CPI
- July PPI
- July retail sales
- Company earnings
- Earnings transcripts
- Analyst revisions
- Commodity prices
- Freight indicators
- Wage trends
- Industry pricing data
- Market price and volume action

Never claim unreleased data is available.

PHASE 1 — Rebuild the Cost Stack

For each candidate identify:

- Labor
- Commodities
- Freight
- Energy
- Components
- Rent
- Cloud/infrastructure expense
- Other major variable costs

Estimate relative importance only where credible evidence exists.

PHASE 2 — Rebuild the Pricing Stack

Analyze:

- Reported price increases
- Contract repricing
- Promotional activity
- Mix changes
- Volume elasticity
- Customer churn
- Competitive pricing

Determine whether pricing power is:

- Strengthening
- Stable
- Weakening

PHASE 3 — Incorporate CPI and PPI

For each candidate connect relevant inflation categories directly to its economics.

Avoid broad statements like:

“Lower CPI is good.”

Instead explain:

- Which cost category changed
- Which selling-price category changed
- Timing lag
- Likely margin implication
- Confidence level

PHASE 4 — Incorporate Retail Sales

Determine whether current demand supports the margin thesis.

Classify:

- Strong demand + improving costs
- Weak demand + improving costs
- Strong demand + rising costs
- Weak demand + rising costs

Treat these four situations differently.

PHASE 5 — Update Earnings Evidence

Review:

- Latest margin commentary
- Guidance
- Analyst estimate changes
- Peer commentary
- Management confidence

Classify Monday’s thesis:

- Strengthened
- Unchanged
- Weakened
- Invalidated

PHASE 6 — Check Whether the Market Already Repriced It

Measure:

- Return since Monday
- Relative performance versus sector
- Valuation change
- Analyst revision change
- Volume
- Options-implied volatility where available

Assign:

- Fundamental Improvement Score: 1–5
- Consensus Awareness Score: 1–5
- Amount Already Priced Score: 1–5
- Remaining Opportunity Score: 1–5

PHASE 7 — Stress-Test the Margin Thesis

For every candidate run:

A. Demand stays strong
B. Demand slows 5%
C. Input costs rebound
D. Pricing weakens
E. Both pricing and costs normalize

Determine whether margin expansion survives each scenario.

PHASE 8 — Rank the Survivors

Assign:

- Pricing Power: 1–5
- Cost Relief: 1–5
- Demand Durability: 1–5
- Margin Visibility: 1–5
- Valuation Support: 1–5
- Consensus Blind Spot: 1–5
- Overall Conviction: 1–10

Build the FINAL INFLATION SPREAD TABLE:

- Rank
- Ticker
- Company
- Sector
- Pricing Trend
- Cost Trend
- Demand Trend
- Margin Thesis
- Thesis Update
- Already Priced Score
- Next Catalyst
- Key Invalidation Trigger
- Overall Conviction

PHASE 9 — PM MEMO

Deliver:

1. Five highest-conviction margin-expansion opportunities
2. Three candidates removed since Monday and why
3. Two companies where the fundamental thesis is right but the stock is already priced
4. Two situations where falling input costs are actually a warning sign
5. Three strongest second-order insights from this week’s CPI/PPI/retail-sales combination
6. A 30-day monitoring checklist

Clearly distinguish reported facts, estimates, scenarios, and inference.

Do not expose hidden chain-of-thought. Provide conclusions and supporting evidence instead.

Output in a clean table + 3–5 sentence explanation why this matters right now.

END PROMPT

→ Submit to AI model to receive actionable output.

Blue Horseshoe loves AI-driven alpha. Use responsibly.

Sponsored by: StockPilot.io 🚀

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📂 MONDAY – Trade-Down Beneficiary Screener: “Where the Consumer Is Moving”

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📂 THURSDAY – Portfolio Audit: “Inflation Surprise Convexity Test”