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| strategy_id,strategy_family_id,strategy_name,alternative_names,strategy_category,strategy_subcategory,verification_status,repository_name,repository_url,source_file_path,permanent_source_url,commit_sha,source_type,canonical_source_status,related_sources,language,platform,framework,market_types,example_instruments,expected_timeframes,long_short_direction,required_data,alternative_data_required,indicators_or_features,normalized_entry_rules,normalized_exit_rules,stop_loss_rules,take_profit_rules,trailing_stop_rules,position_sizing_rules,portfolio_construction_rules,execution_assumptions,important_parameters,framework_agnostic_rule_summary,claimed_backtest_results,result_source,transaction_costs_modeled,slippage_modeled,tests_present,sample_data_present,lookahead_or_repainting_risk,other_bias_risks,martingale_or_unbounded_risk,code_completeness_score,rule_clarity_score,reproducibility_score,portability_score,maintenance_status,last_commit_date,stars,forks,license,reuse_notes,duplicate_group,research_notes | |
| STRAT |
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| # Project Policy | |
| This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices. | |
| # 1. Introduction | |
| > Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities. | |
| ## 1.1 Actors |
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