Spaces:
No application file
No application file
| { | |
| "generated_at": "2026-05-03T11:15:35.400187+00:00", | |
| "python": "C:\\Users\\aksha\\Downloads\\afml\\.venv\\Scripts\\python.exe", | |
| "file_count": 93, | |
| "summary": { | |
| "compile": { | |
| "pass": 93 | |
| }, | |
| "import": { | |
| "pass": 83, | |
| "skip": 10 | |
| } | |
| }, | |
| "results": [ | |
| { | |
| "file": "afml\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\backtest_cache.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\cache_monitoring.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\cv_cache.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\data_access_tracker.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\from afml.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\from my_project.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\user_guide.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\mlflow_integration.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\mql5_backtest_bridge.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\mql5_bridge.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\robust_cache_keys.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\selective_cleaner.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\startup_script.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cache\\unified_cache_system.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\anchored_walkforward.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\combinatorial.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\cpcv_usage.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\cross_validation.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\hyper_fit.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\hyper_fit_analysis.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\optuna_hyper_fit.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\pbo.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\scoring.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\trial_tracker.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\data_structures\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\data_structures\\bars.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\datasets\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\datasets\\load_datasets.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\fracdiff.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\fractals.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\meta_labeling_features.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\moving_averages.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\returns.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\stationary.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\trading_session.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\features\\volatility_regime.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\filters\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\filters\\filters.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\labeling\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\labeling\\fixed_time_horizon.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\labeling\\trend_scanning.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\labeling\\triple_barrier.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\mt5\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\mt5\\clean_data.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\mt5\\load_data.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\mt5\\tick_data_loader.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\numba_warmup.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\dual_model_development.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\model_development.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\model_development_optuna.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\model_export.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\optimization_framework.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\parameter_grid_search.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\production\\utils.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\attribution.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\optimized_attribution.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sampling\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sampling\\bootstrapping.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sampling\\concurrent.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\sampling\\optimized_concurrent.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\bollinger_features.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\genetic_optimizer.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\ma_crossover_feature_engine.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\ma_whipsaw_ratio.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\signal_processing.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\strategy_optimizer.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trading_strategies.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trend_scanning_optimizer.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trend_scanning_optimizer_1.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\__init__.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\constants.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\fix_mlfinlab_imports.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\misc.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\multiprocess.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\pipelines.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\test.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\util\\volatility.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "model_development.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\deploy_live_mt5_integration.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_each_file_tests.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_full_project_diagnostics.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_gold_btc_mt5.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_guides_steps.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_latest_gold_btc_signals.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\run_production_build.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "scripts\\test_core_subsystems.py", | |
| "stage": "compile", | |
| "status": "pass" | |
| }, | |
| { | |
| "file": "afml\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.__init__" | |
| }, | |
| { | |
| "file": "afml\\cache\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.__init__" | |
| }, | |
| { | |
| "file": "afml\\cache\\backtest_cache.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.backtest_cache" | |
| }, | |
| { | |
| "file": "afml\\cache\\cache_monitoring.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.cache_monitoring" | |
| }, | |
| { | |
| "file": "afml\\cache\\cv_cache.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.cv_cache" | |
| }, | |
| { | |
| "file": "afml\\cache\\data_access_tracker.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.data_access_tracker" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\from afml.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\from my_project.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "afml\\cache\\guides\\user_guide.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.guides.user_guide" | |
| }, | |
| { | |
| "file": "afml\\cache\\mlflow_integration.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.mlflow_integration" | |
| }, | |
| { | |
| "file": "afml\\cache\\mql5_backtest_bridge.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.mql5_backtest_bridge" | |
| }, | |
| { | |
| "file": "afml\\cache\\mql5_bridge.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.mql5_bridge" | |
| }, | |
| { | |
| "file": "afml\\cache\\robust_cache_keys.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.robust_cache_keys" | |
| }, | |
| { | |
| "file": "afml\\cache\\selective_cleaner.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.selective_cleaner" | |
| }, | |
| { | |
| "file": "afml\\cache\\startup_script.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.startup_script" | |
| }, | |
| { | |
| "file": "afml\\cache\\unified_cache_system.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cache.unified_cache_system" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.__init__" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\anchored_walkforward.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.anchored_walkforward" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\combinatorial.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.combinatorial" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\cpcv_usage.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.cpcv_usage" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\cross_validation.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.cross_validation" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\hyper_fit.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.hyper_fit" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\hyper_fit_analysis.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.hyper_fit_analysis" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\optuna_hyper_fit.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.optuna_hyper_fit" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\pbo.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.pbo" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\scoring.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.scoring" | |
| }, | |
| { | |
| "file": "afml\\cross_validation\\trial_tracker.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.cross_validation.trial_tracker" | |
| }, | |
| { | |
| "file": "afml\\data_structures\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.data_structures.__init__" | |
| }, | |
| { | |
| "file": "afml\\data_structures\\bars.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.data_structures.bars" | |
| }, | |
| { | |
| "file": "afml\\datasets\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.datasets.__init__" | |
| }, | |
| { | |
| "file": "afml\\datasets\\load_datasets.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.datasets.load_datasets" | |
| }, | |
| { | |
| "file": "afml\\features\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.__init__" | |
| }, | |
| { | |
| "file": "afml\\features\\fracdiff.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.fracdiff" | |
| }, | |
| { | |
| "file": "afml\\features\\fractals.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.fractals" | |
| }, | |
| { | |
| "file": "afml\\features\\meta_labeling_features.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.meta_labeling_features" | |
| }, | |
| { | |
| "file": "afml\\features\\moving_averages.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.moving_averages" | |
| }, | |
| { | |
| "file": "afml\\features\\returns.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.returns" | |
| }, | |
| { | |
| "file": "afml\\features\\stationary.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.stationary" | |
| }, | |
| { | |
| "file": "afml\\features\\trading_session.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.trading_session" | |
| }, | |
| { | |
| "file": "afml\\features\\volatility_regime.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.features.volatility_regime" | |
| }, | |
| { | |
| "file": "afml\\filters\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.filters.__init__" | |
| }, | |
| { | |
| "file": "afml\\filters\\filters.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.filters.filters" | |
| }, | |
| { | |
| "file": "afml\\labeling\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.labeling.__init__" | |
| }, | |
| { | |
| "file": "afml\\labeling\\fixed_time_horizon.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.labeling.fixed_time_horizon" | |
| }, | |
| { | |
| "file": "afml\\labeling\\trend_scanning.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.labeling.trend_scanning" | |
| }, | |
| { | |
| "file": "afml\\labeling\\triple_barrier.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.labeling.triple_barrier" | |
| }, | |
| { | |
| "file": "afml\\mt5\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.mt5.__init__" | |
| }, | |
| { | |
| "file": "afml\\mt5\\clean_data.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.mt5.clean_data" | |
| }, | |
| { | |
| "file": "afml\\mt5\\load_data.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.mt5.load_data" | |
| }, | |
| { | |
| "file": "afml\\mt5\\tick_data_loader.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.mt5.tick_data_loader" | |
| }, | |
| { | |
| "file": "afml\\numba_warmup.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.numba_warmup" | |
| }, | |
| { | |
| "file": "afml\\production\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.__init__" | |
| }, | |
| { | |
| "file": "afml\\production\\dual_model_development.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.dual_model_development" | |
| }, | |
| { | |
| "file": "afml\\production\\model_development.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.model_development" | |
| }, | |
| { | |
| "file": "afml\\production\\model_development_optuna.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.model_development_optuna" | |
| }, | |
| { | |
| "file": "afml\\production\\model_export.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.model_export" | |
| }, | |
| { | |
| "file": "afml\\production\\optimization_framework.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.optimization_framework" | |
| }, | |
| { | |
| "file": "afml\\production\\parameter_grid_search.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.parameter_grid_search" | |
| }, | |
| { | |
| "file": "afml\\production\\utils.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.production.utils" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sample_weights.__init__" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\attribution.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sample_weights.attribution" | |
| }, | |
| { | |
| "file": "afml\\sample_weights\\optimized_attribution.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sample_weights.optimized_attribution" | |
| }, | |
| { | |
| "file": "afml\\sampling\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sampling.__init__" | |
| }, | |
| { | |
| "file": "afml\\sampling\\bootstrapping.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sampling.bootstrapping" | |
| }, | |
| { | |
| "file": "afml\\sampling\\concurrent.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sampling.concurrent" | |
| }, | |
| { | |
| "file": "afml\\sampling\\optimized_concurrent.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.sampling.optimized_concurrent" | |
| }, | |
| { | |
| "file": "afml\\strategies\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.__init__" | |
| }, | |
| { | |
| "file": "afml\\strategies\\bollinger_features.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.bollinger_features" | |
| }, | |
| { | |
| "file": "afml\\strategies\\genetic_optimizer.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.genetic_optimizer" | |
| }, | |
| { | |
| "file": "afml\\strategies\\ma_crossover_feature_engine.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.ma_crossover_feature_engine" | |
| }, | |
| { | |
| "file": "afml\\strategies\\ma_whipsaw_ratio.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.ma_whipsaw_ratio" | |
| }, | |
| { | |
| "file": "afml\\strategies\\signal_processing.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.signal_processing" | |
| }, | |
| { | |
| "file": "afml\\strategies\\strategy_optimizer.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.strategy_optimizer" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trading_strategies.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.trading_strategies" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trend_scanning_optimizer.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.trend_scanning_optimizer" | |
| }, | |
| { | |
| "file": "afml\\strategies\\trend_scanning_optimizer_1.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.strategies.trend_scanning_optimizer_1" | |
| }, | |
| { | |
| "file": "afml\\util\\__init__.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.__init__" | |
| }, | |
| { | |
| "file": "afml\\util\\constants.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.constants" | |
| }, | |
| { | |
| "file": "afml\\util\\fix_mlfinlab_imports.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.fix_mlfinlab_imports" | |
| }, | |
| { | |
| "file": "afml\\util\\misc.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.misc" | |
| }, | |
| { | |
| "file": "afml\\util\\multiprocess.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.multiprocess" | |
| }, | |
| { | |
| "file": "afml\\util\\pipelines.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.pipelines" | |
| }, | |
| { | |
| "file": "afml\\util\\test.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.test" | |
| }, | |
| { | |
| "file": "afml\\util\\volatility.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "afml.util.volatility" | |
| }, | |
| { | |
| "file": "model_development.py", | |
| "stage": "import", | |
| "status": "pass", | |
| "module": "model_development" | |
| }, | |
| { | |
| "file": "scripts\\deploy_live_mt5_integration.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_each_file_tests.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_full_project_diagnostics.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_gold_btc_mt5.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_guides_steps.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_latest_gold_btc_signals.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\run_production_build.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| }, | |
| { | |
| "file": "scripts\\test_core_subsystems.py", | |
| "stage": "import", | |
| "status": "skip", | |
| "reason": "not a valid importable module path" | |
| } | |
| ] | |
| } |