Quanta G-Type Algorithm Metrics

Metrics are G-Type’s verification layer for long-horizon geometric operation.

Outcome Verification Framework

Use metrics to answer four practical questions:

1. Is the grid operating as designed?
2. Is trade mode switching coherent with inventory state?
3. Is capital deployment inside policy?
4. Is runtime behaviour healthy and observable?

1) Performance and Portfolio Metrics

Key views include:

• TVIC and starting value context,
• uPNL and total PnL state,
• projected CAGR and annualised return proxies,
• Trade vs. HODL context.

Interpret these over long windows, not single-cycle snapshots.

2) Trade Mode and Inventory Metrics

Key views include:

• Trade Mode state,
• BOV and SOV values,
• rebalance hysteresis context,
• accumulation vs decumulation pressure.

These indicate whether inventory behaviour is aligned with range conditions.

3) Grid and Volatility Metrics

Key views include:

• interval setting and suggested interval context,
• average and percentile candle range metrics,
• estimated net round-trip spread after fee context,
• order depth and active grid diagnostics.

These help validate whether spacing and depth are realistic for current volatility.

4) Operational Metrics

Key views include:

• refresh cadence,
• duplicate/stale order handling,
• last API interaction,
• state and history persistence health.

Operational degradation should be treated as a control issue, not only a performance issue.

Practical Review Order

1. Check operational and entitlement status first.
2. Check mode and inventory metrics second.
3. Check grid-spacing and volatility context third.
4. Check performance metrics fourth.

Metrics support decisions; they do not guarantee outcomes.