Human-curated universe
A human identifies and curates the candidate universe before deeper software-assisted comparison begins.
System status / Private software
A.I.S.S. is training. Not for sale.
Alpha Intel is the public intelligence community. A.I.S.S.—Alpha Intel Stock Software—is the private system being developed behind it. It is not currently a public app, autonomous trader, chatbot, subscription product, or software license.
01What is public
The record comes before the product.
Alpha Intel publishes the work that can be evaluated now: market context, sourced research, selected calls, passes, reasoning, entries, outcomes, wins, losses, and the permanent Ledger. Every preserved decision expands the real-world memory available for future review.
We are not selling a prediction engine. We are building a record that has to earn trust first.
02Human + machine
Wider field. Harder challenge. Human call.
Technology expands what can be reviewed and remembered. It does not own the capital, the risk, or the conclusion.
Machine-assisted challenge
Software and AI help organize, compare, and challenge catalysts, market context, historical analogues, contrary evidence, and prior Alpha Intel decisions.
Human-owned decision
Materiality, skepticism, risk ownership, and the final execute, watch, or pass decision remain human responsibilities.
03The research question
Not this
“What stock will go up?”
A narrower question
Given the evidence available now, the current market context, and Alpha Intel’s own decision memory, what supports—or contradicts—the case that this candidate may still have substantial upside ahead?
The long-term research objective includes studying candidates where another 10–50%+ move may remain possible. That range is an opportunity-screening objective—not a forecast, expected return, probability already proven by backtesting, or promise of performance.
04The boundary
See the work. Not the software.
Public now
01Market Radar and sourced Intel
02Current Picks and the complete Ledger
03Preserved reasoning, updates, wins, and losses when recorded
04Community ticker submissions for private moderation
Private and training
01Experimental candidate comparison
02Internal memory retrieval and pattern comparison
03Experimental probability-aware ranking
04Internal algorithms, agents, scoring logic, and software access
05Why it stays private
Early systems should be measured, not marketed.
A.I.S.S. remains private because the training record is early, the sample is limited, methods can change, and experimental outputs should not be mistaken for validated signals.
Publishing the underlying decisions and outcomes first creates a harder standard: the record must mature before the software can be represented as a product. If that status changes, Alpha Intel will say exactly what became available, what was tested, and what limitations remain.
Judge the public evidence
The record is the product you can inspect today.
Review open positions, completed outcomes, and the preserved evidence trail without treating private software as a finished signal service.
Inspect the public record