Pivot Report: {strategy_id}

Generated: {generated_at_utc} Source Strategy: {source_strategy_id} Diagnosis: {diagnosis_summary}

Stagnation Diagnosis

Triggers Fired: {triggers_count} Recommendation: {recommendation}

{triggers_detail}

Score Trajectory

{score_trajectory}

Pivot Proposals

{pivot_proposals}

Proposal: {proposal_id}

Technique: {pivot_technique} Target Archetype: {target_archetype} Category: {category}

What Changed:

Signal: {signal_change}
Horizon: {horizon_change}
Risk: {risk_change}

Why: {why_explanation}

Targeted Triggers: {targeted_triggers}

Scores:

Quality Potential: {quality_potential}
Novelty: {novelty}
Combined: {combined}

Expected Failure Modes: {failure_modes}

Summary

Rank	Proposal	Archetype	Combined	Category
{summary_table}

Next Steps

Review proposals and select the most promising pivot direction
For exportable proposals: ticket YAML is ready for edge-candidate-agent pipeline
For research_only proposals: manual strategy design needed before pipeline integration
Run backtest-expert on the selected pivot draft to begin the next iteration cycle

Third-party checks

1 warning3d5 checks · Risk SAFE

Gen Agent Trust Hub3d
The strategy-pivot-designer skill is a local utility for quantitative trading researchers. It provides logic to identify when a strategy's backtest performance has plateaued and automatically generates alternative strategy architectures (pivots) to explore. The skill operates exclusively on local JSON and YAML data, utilizes secure parsing methods, and follows identifier sanitization best practices. No malicious patterns or security risks were identified.
Socket3d
No alerts
Snyk3d
Risk: LOW · No issues
Runlayer7mo
4/12 files flagged
ZeroLeaks5mo
Score: 93/100 · 2 sections analyzed

/strategy-pivot-designer

assetspivot_report_template.md