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system health · Digital Asset Perpetual Futures

perpetuals.
16 configurations.

live diagnostic grid for S1. each cell encodes one component's verdict on one config — hover for context, click the filter buttons to surface only the rows the agents need to address.

Cycle
RX69-FINAL
Engine
BTC_MOM + Cross-Asset
Pass · Go-Live
16/16
Net P&L · Backtest
+$2.64MM
Avg PF / WR
2.50 · 73.2%
HAI Models
16 per script

calibration basis — each configuration is backtested on its own $10,000 of starting capital over a 1-year (2025-03-14 → 2026-03-14) window, net of modeled commissions and slippage. Aggregate figures sum across 16 configurations (16 × $10K = $160K deployed). Past backtested performance does not guarantee future results.

heatmapS1 · pass / fail per (asset × timeframe)
cycle RX69-FINAL

calibration heatmap · pass / fail per (asset × timeframe) cell. tooltips show headline metrics only — calibrated parameter values are subscriber-tier.

drift watch · S1tier 5 · verdict transitions
last 1
  • ETH · 3MWATCHPASS
    78d ago
no active repair tickets

drift watch + repair triage · tier 6 of the AEGIS Adaptive Repair Loop. cells re-evaluated on every trade close; verdict transitions emit drift events; DEGRADED / FAIL cells auto-open repair tickets that route to a narrowed-budget Optuna run. spec · docs/AEGIS_ADAPTIVE_REPAIR_LOOP.md

subscriber-only

pipeline diagrams + calibrated algo bundle

trade-flow PDF, HAI architecture PDF, Pine v6 source, per-config calibrated parameters, and the Optuna refinement trace. published per cycle to subscribers + institutional tiers.

access to calibrated parameters, source code, and pipeline diagrams is restricted to subscriber + institutional tiers — this is the engineering moat.

see subscription tiers →log in