Coverage by Kalshi series
| Asset series | Predictions | Scored | Research quality | Trade-screened | Mean spread |
|---|
Automated Kalshi public-market observations every five minutes. Models predict next-interval YES quote midpoint, record their predictions before the future observation, and compare against an unchanging no-change baseline. No claims of winning odds or future settlement accuracy.
Lower mean squared error is better. All candidates were defined before scoring. These are experimental market-price forecasts—not calibrated YES settlement probabilities, not profitability forecasts, and not proof of alpha.
Legacy paper entries with no verified exit prices remain unpriced. The paper bankroll cap was $25, $5 per order, and $10 concurrent exposure. No fresh simulated entries will be released without independent validation of fills and settlement.
| Asset series | Predictions | Scored | Research quality | Trade-screened | Mean spread |
|---|
| Forecast time | Contract | No change | Momentum 10% | Observed 5m later |
|---|
Brier = average squared error between a market-implied YES probability and its final YES (1) or NO (0) outcome. Lower is better. Each resolved contract counts once. The probability is the Kalshi market midpoint, not a calibrated OMEGA model prediction. Inputs were frozen at least 60 seconds before the market closed.
| YES probability band | Markets | Mean forecast | Actual YES rate |
|---|---|---|---|
| Waiting for verified outcomes... | |||
These are empirical frequencies for a small, correlated sample. No market-price superiority or tradable statistical edge should be inferred without independently held-out observations across multiple days.
| Contract | Official result | Settlement time |
|---|---|---|
| Awaiting settlement data... | ||
Paper-only diagnostics include conservative estimated fees and 1¢ slippage but do not verify order-book depth, actual fills or executable returns. Live orders remain blocked.