Quanta Athena Algorithm Metrics

Metrics are the verification layer for Athena. They indicate whether the strategy is delivering intended operating behaviour under live conditions.

Outcome Verification Framework

Use Athena metrics to answer four questions:

1. Is execution behaving as intended across regimes?
2. Is capital deployment staying within policy?
3. Is risk context acceptable for current market structure?
4. Is runtime health stable and observable?

1) Profit and Capital Efficiency Metrics

Primary metrics:

• Realised Profit
• Unrealised Profit
• Total Profit
• Annualised ROC
• ECR
• Monthly Earnings projection

These show how operational profitability and capital efficiency are evolving.

2) Projection and Regime Metrics

Primary metrics:

• Volatility
• Price Bias
• Skew State
• Call/Put ITM Probability
• Expected Move Percent / Price
• Order Offset / Order Weight

These metrics explain why Athena is changing aggressiveness, spacing and sizing.

3) Option Chain and Model-State Metrics

Primary metrics:

• Call/Put Mark
• Strike Price
• Call/Put Delta
• Call/Put IV
• IV Delta
• Call/Put Theta
• Call/Put Gamma
• Call/Put Vega
• Sentiment
• Days to Expiry
• Mark Refresh

These values provide transparency into the options context driving model decisions.

4) Operational Health Metrics

Primary metrics:

• Refresh Speed
• Code Processing Time
• Last API Call

These metrics indicate runtime responsiveness and data freshness quality.

Practical Review Order

1. Review runtime health first.
2. Review regime and projection context second.
3. Review option-chain context third.
4. Review profit and capital outcomes fourth.

This sequence helps reduce false conclusions during volatile periods.

Metrics support decisions; they do not guarantee outcomes.