One source of truth.
No disconnected dashboards.
Market coverage, runtime health, operational totals, and proof integrity in one readable view.
Printed values are exact public-contract values; gauges are display-only. Engine status chips are the engine's own published reason codes — not trade instructions.
Proof verifies stored SNAP payload integrity. It does not guarantee trade performance or represent financial advice.
Engine lifecycle outcomes only. Educational analytics. Not financial advice.
Research accumulates every time a setup closes — these counts grow on their own; nothing here is backfilled or replayed. All verified outcomes so far are LONG-side. This reflects how few SHORT setups have closed yet — it is a data-maturity fact, not a claim about that direction’s performance.
| Cohort | N | W / L / BE | Win rate | Wilson 95% | Avg result | Avg R | MFE R | MAE R | Quality |
|---|---|---|---|---|---|---|---|---|---|
| 15m · LONG | 28 | 10 / 18 / 0 | 35.7% | 20.7–54.2% | -25.61 | -0.22 | 0.77 | -0.68 | WATCH |
| 1h · LONG | 7 | 3 / 4 / 0 | 42.9% | 15.8–75.0% | -0.01 | -0.31 | 0.64 | -0.73 | LOW SAMPLE |
| Cohort | N | W / L / BE | Win rate | Wilson 95% | Avg result | Avg R | MFE R | MAE R | Quality |
|---|---|---|---|---|---|---|---|---|---|
| 0.60-0.65 · 15m · LONG | 1 | 0 / 1 / 0 | 0.0% | 0.0–79.3% | -1.23 | -1.02 | 0.11 | -1.02 | LOW SAMPLE |
| 0.65-0.70 · 15m · LONG | 5 | 0 / 5 / 0 | 0.0% | 0.0–43.5% | -5.02 | -1.04 | 0.30 | -1.04 | LOW SAMPLE |
| >=0.70 · 15m · LONG | 22 | 10 / 12 / 0 | 45.5% | 26.9–65.3% | -31.40 | 0.01 | 0.91 | -0.58 | WATCH |
| >=0.70 · 1h · LONG | 7 | 3 / 4 / 0 | 42.9% | 15.8–75.0% | -0.01 | -0.31 | 0.64 | -0.73 | LOW SAMPLE |
Raw model score is a raw engine output — not a calibrated probability.
| Cohort | N | W / L / BE | Win rate | Wilson 95% | Avg result | Avg R | MFE R | MAE R | Quality |
|---|---|---|---|---|---|---|---|---|---|
| HIGH · 15m · LONG | 23 | 8 / 15 / 0 | 34.8% | 18.8–55.1% | -31.41 | -0.16 | 0.79 | -0.67 | WATCH |
| HIGH · 1h · LONG | 7 | 3 / 4 / 0 | 42.9% | 15.8–75.0% | -0.01 | -0.31 | 0.64 | -0.73 | LOW SAMPLE |
| MID · 15m · LONG | 5 | 2 / 3 / 0 | 40.0% | 11.8–76.9% | +1.09 | -0.42 | 0.70 | -0.71 | LOW SAMPLE |
| Cohort | N | W / L / BE | Win rate | Wilson 95% | Avg result | Avg R | MFE R | MAE R | Quality |
|---|---|---|---|---|---|---|---|---|---|
| ASIA_LONDON_OVERLAP · 15m · LONG | 1 | 0 / 1 / 0 | 0.0% | 0.0–79.3% | -0.00 | -1.02 | 0.72 | -1.02 | LOW SAMPLE |
| ASIA · 15m · LONG | 8 | 6 / 2 / 0 | 75.0% | 40.9–92.8% | +0.73 | 0.50 | 1.21 | -0.41 | LOW SAMPLE |
| ASIA · 1h · LONG | 1 | 1 / 0 / 0 | 100% | 20.6–100.0% | +0.00 | 0.20 | 0.71 | -0.99 | LOW SAMPLE |
| LONDON_NEW_YORK_OVERLAP · 15m · LONG | 2 | 1 / 1 / 0 | 50.0% | 9.4–90.5% | +5.37 | -0.45 | 0.50 | -0.64 | LOW SAMPLE |
| LONDON · 15m · LONG | 2 | 0 / 2 / 0 | 0.0% | 0.0–65.8% | -0.99 | -1.02 | 0.38 | -1.02 | LOW SAMPLE |
| NEW_YORK · 15m · LONG | 6 | 1 / 5 / 0 | 16.7% | 3.0–56.4% | -120.41 | 0.92 | 1.32 | -0.02 | LOW SAMPLE |
| OFF_HOURS · 15m · LONG | 2 | 0 / 2 / 0 | 0.0% | 0.0–65.8% | -0.62 | -1.01 | 0.30 | -1.01 | LOW SAMPLE |
| WEEKEND_LOW_LIQUIDITY · 15m · LONG | 7 | 2 / 5 / 0 | 28.6% | 8.2–64.1% | -1.14 | -0.56 | 0.53 | -0.86 | LOW SAMPLE |
| WEEKEND_LOW_LIQUIDITY · 1h · LONG | 6 | 2 / 4 / 0 | 33.3% | 9.7–70.0% | -0.02 | -0.40 | 0.63 | -0.69 | LOW SAMPLE |
Asia / London / New York are UTC research windows, not exchange hours.
| Cohort | N | W / L / BE | Win rate | Wilson 95% | Avg result | Avg R | MFE R | MAE R | Quality |
|---|---|---|---|---|---|---|---|---|---|
| LIQUIDITY_VACUUM · 15m · LONG | 8 | 0 / 8 / 0 | 0.0% | 0.0–32.4% | -5.05 | -1.07 | 0.26 | -1.07 | LOW SAMPLE |
| LIQUIDITY_VACUUM · 1h · LONG | 4 | 3 / 1 / 0 | 75.0% | 30.1–95.4% | +0.08 | 0.23 | 0.84 | -0.51 | LOW SAMPLE |
| NEUTRAL · 15m · LONG | 20 | 10 / 10 / 0 | 50.0% | 29.9–70.1% | -33.84 | -0.04 | 0.88 | -0.60 | WATCH |
| NEUTRAL · 1h · LONG | 3 | 0 / 3 / 0 | 0.0% | 0.0–56.1% | -0.14 | -1.04 | 0.38 | -1.04 | LOW SAMPLE |
Behavioral pressure states only — no participant identity is inferred.
Engine lifecycle outcomes only, verified against outcome proofs. Avg result is the engine lifecycle result (simulated) — not exchange-reconciled PnL. R-multiple / MFE / MAE are engine-tick excursion analytics and stay “—” until enough new closes carry them. Educational analytics — not financial advice.