Transparency by design

The signal, and the deal behind it.
XA produces one thing of institutional value: a skill-weighted, anonymised aggregate of the crowd's settled calls. This page states how it's measured, how it's protected, and who gets paid — in full, because the model only works if everyone can see it.

Institutional access → The integrity model ↓
// Integrity

Measurement you can interrogate.

A signal is only as good as the discipline beneath it. XA's is stated, published, and applied uniformly.

Frozen references, fixed horizons
Every call locks its reference price at submission and settles at its stated horizon against market prices. No revision, no backdating, no survivorship — misses stay in the record and in the score.
Volatility-graded scoring
Calls are graded against the volatility of what was called, so boldness is measured rather than assumed, and a quiet-stock conviction call cannot be mimicked by noise on a wild one.
Skill-weighted aggregation
The tournament literature's second finding, applied: the aggregate weights each contributor by demonstrated, persistent skill across settled history — not by volume, seniority, or noise. Consensus you can decompose.
Anti-gaming by construction
One account per person; coordinated rings, sybil accounts and plagiarised submissions are removed and forfeited under the platform terms. Staking makes manipulation costly by design.
// The Deal

Stated plainly.

Skilled forecasts are valuable. Aggregated and anonymised, the crowd's signal is what institutions pay for — and the contributors who generate it share in that as it monetises. Your name is never sold. Individual records are never exposed to buyers — aggregates and pseudonymised analytics only. Personal data is never part of any data product. This is the business model, not a footnote, and every participant is told before their first call. The same statement, in binding form, is in our Terms.

Why the incentives hold: a casino profits when you lose. A broker profits either way. XA's only product is honest measurement — it is worthless the moment it flatters anyone. We are structurally incapable of profiting from a participant's failure: the signal is only worth selling if the scoring is ruthless, and the scoring is only trusted because this page exists.

// For data buyers
Scored, skill-attributed signal — consensus lines, dispersion, and cohort analytics — structured for quantitative consumption. The platform is in testnet beta and the dataset is growing with each cohort; early institutional conversations shape the product. Request institutional access or write to william@upsidetechnology.co.