📂 MONDAY – Peer Read-Through Screener: “The Earnings Echo”

The first stock to report rarely contains the entire trade.

A major company’s earnings can reveal demand, pricing, spending, inventory, and margin signals that apply across its suppliers, customers, competitors, and adjacent industries. The market usually reprices the reporting company immediately, while slower-moving read-through opportunities can remain hidden elsewhere.

Today’s Intel Drop finds stocks that may benefit or suffer from information revealed in earnings reports released between July 27 and August 3, 2026.

Use this to trade the earnings echo instead of chasing the original headline.

💡PROMPT TEXT:

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

You are a buy-side equity analyst running an “Earnings Echo” peer read-through screen as of August 3, 2026.

Goal:
Identify 12–20 U.S.-listed stocks whose outlook may have changed because of earnings reports released between July 27 and August 3, 2026, even though those stocks have not yet fully repriced.

Use current earnings releases, call transcripts, regulatory filings, analyst revisions, industry data, and price action where available.

STEP 1 — Extract the Fresh Signals

Review the most consequential earnings reports released during the past five trading days.

For each reporting company, extract signals involving:

- Customer demand
- Order growth
- Backlog
- Pricing power
- Inventory
- Advertising spending
- Cloud or AI spending
- Capital expenditures
- Consumer traffic
- Labor costs
- Input costs
- Geographic demand
- Management’s forward tone

Do not stop at whether the company beat or missed estimates.

STEP 2 — Build the Economic Relationship Map

For every important signal, identify publicly traded companies that are:

- Direct competitors
- Critical suppliers
- Major customers
- Distribution partners
- Industry beneficiaries
- Industry casualties
- Companies exposed to the same demand driver

Label the relationship clearly.

STEP 3 — Test Whether the Read-Through Is Already Priced

For every candidate, compare:

- Price performance since the source company reported
- Performance versus its sector ETF
- Analyst estimate changes
- Valuation change
- Trading volume
- Distance from its 20-day and 50-day moving averages

Favor companies where the fundamental read-through appears meaningful but the market reaction remains limited.

STEP 4 — Apply Quality and Liquidity Filters

Require:

- U.S. listing
- Market capitalization above $3 billion
- Average daily dollar volume above $25 million
- No bankruptcy, trading halt, or unresolved going-concern warning
- No earnings report scheduled within the next 24 hours unless clearly labeled

STEP 5 — Rank the Opportunities

Assign each candidate:

- Read-Through Strength: 1–5
- Evidence Quality: 1–5
- Degree Already Priced: 1–5, where 5 means fully priced
- Time Sensitivity: Immediate / Several Days / Several Weeks
- Directional Bias: Positive / Negative / Mixed
- Overall Opportunity Score: 1–10

Create an EARNINGS ECHO TABLE with:

- Ticker
- Company
- Sector
- Source Earnings Report
- Economic Relationship
- Fresh Signal
- Directional Bias
- Evidence Quality
- Degree Already Priced
- Next Catalyst
- Overall Opportunity Score
- Primary Invalidation Risk

After the table, identify:

1. The five strongest positive read-through opportunities
2. The three strongest negative read-through risks
3. Any apparently obvious read-throughs that should be rejected because the information is already priced in
4. The specific source document or transcript supporting each conclusion

Separate verified facts from estimates and inference. State when live information is unavailable rather than inventing figures.

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 🚀