Today’s live session was a special “Lunch & Learn” where I walked through how to use the Signals product — our proprietary stock signals tool designed to give everyday investors access to Wall Street-level data. Below is a full recap covering what Signals is, how it works, and practical strategies for using it.
Chapters & Key Points
0:00 – Welcome + Overview of Today’s Session
Quick intro to the community tuning in.
Today’s focus: a walkthrough of the Signals product.
2:00 – What is Signals?
Built by my company in collaboration with ex-hedge fund PhDs and quants.
Signals predicts whether a company will beat, meet, or miss earnings based on payment data.
Proprietary C-Score from -100 (bearish) to +100 (bullish).
5:00 – What Kind of Data Powers Signals?
Aggregated, anonymized debit, credit, PayPal, and e-commerce payment data.
Signals are systematic: no emotional bias — similar to how Renaissance Technologies and other quant funds operate.
8:30 – How to Access Signals
Two ways: Free trial via joinsignals.com/fungmoney
Full daily spreadsheet access via Substack subscription.
10:00 – Inside the Spreadsheet
Multiple tabs:
All Scores All Tickers (full ranking of stocks)
Top Tickers (best-performing signals over 6 months)
Recently Qualified and Currently Qualified signals
Data Dictionary explaining each metric
C-Scores reflect the real-time direction of consumer spending and macro trends.
14:00 – How to Use Signals
Look for stocks with new signals (flashing 1–3 times in the last 7 days).
The earlier you catch a new signal, the better the potential alpha.
Conditional formatting can help you quickly spot major score jumps.
19:30 – Example Walkthrough: T-Mobile (TMUS)
T-Mobile’s score shifted from bearish (-70s) to bullish (+44) — predicting a positive reversal.
Checked live chart: Stock starting to move up off support levels.
23:00 – Example Walkthrough: Chevron (CVX)
Chevron flashed a bullish signal right at the bottom (April 25).
Strong post-signal performance confirmed the model’s predictive power.
26:30 – Advanced Usage Tips
Using Signals for short-term trading (days to weeks).
Combining Signals with options strategies like covered calls and cash-secured puts.
Using Signals as a contrarian indicator against slow Wall Street analyst upgrades.
31:00 – Systematic Investing Philosophy
Signals strategy mirrors top-performing quant funds: data first, emotions second.
Stick to the signal — avoid second-guessing based on headlines or analyst opinions.
35:00 – Vision for the Future of Signals
Plan to expand by acquiring location data, receipt data, and more.
Goal: democratize access to elite investment data for everyday investors.
Potential for users to get paid to contribute their data in the future.
38:00 – How to Get the Full Spreadsheet
Join the Substack chat to access daily files.
Founding members receive daily emailed spreadsheets before market open.
Spreadsheet can be used manually or fed into AI tools like ChatGPT.
41:00 – Closing Remarks + Thank You
More sessions on Signals coming soon.
Special shoutout to new and current Substack and TikTok subscribers!
Next live session will cover broader market commentary.
✅ Quick Summary of the Session
Signals predicts stock moves based on real-time consumer spending data.
C-Score (ranging from -100 to +100) indicates stock momentum.
Best strategy: Focus on new signals (1–3 days flashing) and act systematically.
Examples: T-Mobile and Chevron both showed predictive reversals.
Future vision: More data, smarter signals, and bigger community access.
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