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foxhunt/docs/archive/README.md
jgrusewski 433af5c25d chore: Major codebase cleanup - remove deprecated files and organize structure 
- Docker: Delete 23 deprecated Dockerfiles, fix CI/CD to use Dockerfile.foxhunt-build
- Config: Remove 36 .env files, keep 4 essential, delete config/environments/
- Docs: Archive 614 Wave D files to docs/archive/wave_d/, 95% reduction in root
- Scripts: Delete 56 deprecated scripts, keep 58 production-critical (49% reduction)
- Python: Organize 37 scripts into scripts/python/ subdirectories, delete ml/python/
- Build: Remove 1GB artifacts, delete old venvs, clean Python cache from git
- Migrations: Delete deprecated directory (4,432 lines), remove duplicate database/migrations/
- Infrastructure: Delete deployment/ (61 files), docs/scripts/ (8 files)

Total impact: ~2,500 files cleaned, 750MB+ space freed, zero production impact
All deleted scripts backed up to archives. runpod/ and tests/runpod/ preserved.
data_acquisition_service retained per user request.
2025-10-30 01:02:34 +01:00

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# Documentation Archive Index
**Created**: 2025-10-18 by Agent C5
**Updated**: 2025-10-30 (Wave D Archival)
**Total Archived Files**: 1,793
**Purpose**: Historical documentation archive to maintain clean root directory
---
## 📁 Archive Structure
### NEW: Wave D Documentation (614 files)
Complete Wave D development cycle (95 agents, 240+ reports) now archived:
#### **wave_d/agents/** (162 files)
Wave D agent reports - all AGENT_*.md files from production readiness through final deployment:
- AGENT_01 through AGENT_26: Production readiness and stabilization
- P0 Fix Wave: Critical bug fixes (TFT, MAMBA-2, PPO)
- Final Stabilization: Cache optimization, edge case testing
- Runpod Deployment: CUDA 12.9, Docker optimization, S3 integration
**Sample Files**:
- `AGENT_01_BINARY_BUILD_TIMELINE_REPORT.md`
- `AGENT_23_GPU_OOM_TEST_11_COMPLETE.md`
- `AGENT_26_DOCKER_OPTIMIZATION_REPORT.md`
- `AGENT_DEPLOY_05_FINAL_FIX_COMPLETE.md`
#### **wave_d/waves/** (14 files)
Wave D completion summaries and documentation:
- Wave D deployment guides
- Component status reports
- Infrastructure investigation
- Database documentation
**Sample Files**:
- `WAVE_D_DEPLOYMENT_GUIDE.md`
- `WAVE_D_COMPLETION_SUMMARY.md`
- `WAVE_D_INFRASTRUCTURE_INVESTIGATION.md`
#### **wave_d/reports/** (349 files)
All implementation reports, analysis documents, and technical documentation:
- CUDA version migrations and fixes
- Docker optimization and multi-stage builds
- Hyperparameter tuning (Optuna integration)
- CI/CD pipeline implementation
- Binary deployment and validation
- Memory optimization (OOM fixes)
- Test coverage and validation reports
**Sample Files**:
- `CUDA_12.9_DEPLOYMENT_GUIDE.md`
- `DOCKER_MULTI_STAGE_BUILD_REPORT.md`
- `HYPEROPT_ALL_FIXES_COMPLETE.md`
- `CI_CD_PIPELINE_VALIDATION_REPORT.md`
#### **wave_d/summaries/** (89 files)
Executive summaries and synthesis documents:
- Component summaries
- Implementation summaries
- Quick reference guides
- Status summaries
**Sample Files**:
- `AGENT_16_EXECUTIVE_SUMMARY.md`
- `AGENT_25_EXECUTIVE_SUMMARY.md`
- `PYTHON_MODULE_ARCHITECTURE_SUMMARY.md`
### EXISTING: Historical Documentation (1,179 files)
#### **agents/** (399 files)
Historical agent reports from previous waves and iterations:
- Old numbered agents (AGENT3, AGENT32, etc.)
- Lowercase agent files (agent_337, agent_343, etc.)
- Pre-Wave-D agent documentation
**Sample Files**:
- `agent_337_as_conversions_report.md`
- `agent_343_print_replacement_report.md`
- `AGENT3_FINAL_REPORT.md`
- `AGENT32_PPO_FIX_SUMMARY.md`
#### **api/** (8 files)
API Gateway and endpoint documentation:
- API architecture and design
- Gateway configuration and routing
- Authentication and authorization
- Endpoint specifications
#### **backtesting/** (10 files)
Backtesting service implementation and analysis:
- Backtesting architecture
- Performance analysis
- Integration testing
- Production readiness
#### **data_management/** (27 files)
Data acquisition, validation, and management:
- Databento integration
- DBN file handling
- Data quality reports
- Data pipeline architecture
#### **feature_implementation/** (36 files)
Technical indicator and feature implementation reports:
- ATR, Bollinger Bands, CCI, RSI, MACD
- Amihud Illiquidity, Corwin-Schultz
- VWAP, VPIN, Roll Spread
- Triple Barrier, Volume Bars
#### **historical/** (139 files)
Miscellaneous historical documentation:
- Development guides
- Investigation summaries
- Quick reference guides
- Implementation status reports
#### **infrastructure/** (30 files)
Infrastructure, deployment, and operational documentation:
- CI/CD pipelines
- Docker configuration
- Database management
- Service architecture
- Monitoring and alerting
#### **ml_models/** (72 files)
ML model training, optimization, and evaluation:
- DQN, PPO, MAMBA-2, TFT, TLOB
- Hyperparameter tuning
- Training pipelines
- Model validation
#### **performance/** (17 files)
Performance benchmarking, optimization, and profiling:
- Latency profiling
- Throughput optimization
- Resource utilization
- Benchmark reports
#### **testing/** (53 files)
Testing strategies, reports, and coverage analysis:
- E2E testing
- Integration testing
- Coverage reports
- Validation summaries
#### **wave_abc/** (23 files)
Historical Wave A, B, and C documentation:
- Wave A: Foundational Indicators
- Wave B: Alternative Bar Sampling
- Wave C: Advanced Feature Engineering
#### **waves/** (364 files)
Historical wave completion reports and summaries:
- Waves 1-103 (historical)
- Wave-specific completion summaries
- Phase transition reports
#### **wave_153/** (0 files)
Reserved for Wave 153 bakeoff documentation (currently empty)
---
## 📊 Archive Statistics
| Category | File Count | Description |
|---|---|---|
| **wave_d/reports/** | 349 | Wave D implementation reports |
| **waves/** | 364 | Historical wave documentation |
| **agents/** | 399 | Old agent reports (pre-Wave-D) |
| **wave_d/agents/** | 162 | Wave D agent reports |
| **historical/** | 139 | Miscellaneous historical docs |
| **wave_d/summaries/** | 89 | Wave D executive summaries |
| **ml_models/** | 72 | ML model training and evaluation |
| **testing/** | 53 | Testing strategies and reports |
| **feature_implementation/** | 36 | Technical indicator implementations |
| **infrastructure/** | 30 | Deployment and operations |
| **data_management/** | 27 | Data pipelines and quality |
| **wave_abc/** | 23 | Waves A, B, C documentation |
| **performance/** | 17 | Performance benchmarking |
| **wave_d/waves/** | 14 | Wave D completion docs |
| **backtesting/** | 10 | Backtesting service documentation |
| **api/** | 8 | API Gateway and endpoints |
| **wave_153/** | 0 | Reserved for Wave 153 |
| **TOTAL** | **1,793** | **All archived documentation** |
---
## 🎯 Current Documentation (Root Directory)
After Wave D archival, the root directory contains only essential, current documentation:
### Essential System Files (33 files)
Core documentation that should remain in root:
- **CLAUDE.md** - System architecture and current status
- **README.md** - Project overview
- **ML_TRAINING_PARQUET_GUIDE.md** - Complete Parquet training guide
- **DOCKER_MULTISTAGE_PRODUCTION_GUIDE.md** - Production Docker builds
- **WAVE_D_DEPLOYMENT_GUIDE.md** - Production deployment guide
- **PRODUCTION_DEPLOYMENT_CHECKLIST.md** - Pre-deployment validation
### Quick Reference Guides (16 files)
All *_QUICK_REF.md files for rapid reference:
- BINARY_UPLOAD_QUICK_REF.md
- BINARY_VALIDATION_QUICK_REF.md
- DOCKER_BUILD_QUICK_REF.md
- DOCKER_CLEANUP_QUICK_REF.md
- DQN_TRAINING_PATHS_QUICK_REF.md
- GITLAB_CI_QUICK_REF.md
- GRAD_B3_QUICK_REF.md
- MONITOR_LOGS_QUICK_REF.md
- OOD_VALIDATION_QUICK_REF.md
- QAT_OOM_RECOVERY_QUICK_REF.md
- RUNPOD_DEPLOY_QUICK_REF.md
- RUNPOD_PYTHON_QUICK_REF.md
- And more...
### Operational Guides (11 files)
All *_GUIDE.md files for detailed procedures:
- CUDA_12.9_DEPLOYMENT_GUIDE.md
- DOCKER_BUILD_GUIDE.md
- GITLAB_CI_DOCKER_SETUP_GUIDE.md
- HYPEROPT_DEPLOYMENT_GUIDE.md
- LOCAL_CI_PIPELINE_GUIDE.md
- OOM_RECOVERY_GUIDE.md
- RUNPOD_WORKFLOW_GUIDE.md
### Checklists (6 files)
All *CHECKLIST.md files for validation:
- CLIPPY_PHASE2_CHECKLIST.md
- CUDA_13_GPU_VALIDATION_CHECKLIST.md
- LEGACY_256_CLEANUP_CHECKLIST.md
- PRE_DEPLOYMENT_CHECKLIST.md
- PRE_FLIGHT_CHECKLIST.md
- PRODUCTION_DEPLOYMENT_CHECKLIST.md
- RUNPOD_DEPLOYMENT_READINESS_CHECKLIST.md
- SAFE_DEPLOYMENT_CHECKLIST.md
- SECURITY_HARDENING_CHECKLIST.md
- SECURITY_PRODUCTION_DEPLOYMENT_CHECKLIST.md
- TRAINING_SESSION_CHECKLIST.md
**Total in Root**: 33 files (down from 647) - **95% reduction**
---
## 🔍 How to Find Documentation
### By Development Phase
1. **Current Status**: Check root directory (CLAUDE.md, README.md)
2. **Wave D (Latest)**: `wave_d/` subdirectories (agents, reports, summaries, waves)
3. **Historical Waves**: `waves/`, `wave_abc/` for Waves A-C and 1-103
4. **Old Agents**: `agents/` for pre-Wave-D agent reports
### By Topic
1. **Feature Implementation**: Check `feature_implementation/` for technical indicators
2. **ML Models**: Look in `ml_models/` and `wave_d/reports/` for training reports
3. **Testing**: Find test reports in `testing/` and `wave_d/reports/`
4. **Performance**: Check `performance/` for benchmarking and optimization
5. **Infrastructure**: See `infrastructure/` and `wave_d/reports/` for deployment
6. **Data**: Look in `data_management/` for data pipelines
7. **API**: Check `api/` for endpoint documentation
8. **Docker/CI/CD**: See `wave_d/reports/` for recent implementation
### By Date
- **2025-10-29/30**: Root directory (current essential docs)
- **2025-10-18 to 10-29**: `wave_d/` subdirectories
- **Pre-October 2025**: Other archive directories
---
## 🚀 Wave D Highlights
Wave D represents the final production readiness phase with 614 archived documents covering:
### Key Achievements
- **95 Agents**: Complete development cycle from P0 fixes to deployment
- **225 Features**: All operational (201 Wave C + 24 Wave D)
- **100% Test Pass Rate**: 1,337/1,337 ML tests, 3,196/3,196 workspace tests
- **Production Certified**: Sharpe 2.00, Win Rate 60%, Drawdown 15%
### Major Components
1. **P0 Fix Wave**: Critical bug fixes (TFT shape bugs, MAMBA-2 constructor, PPO assertions)
2. **Final Stabilization**: TFT cache optimization (60% speedup), Docker optimization (75% size reduction)
3. **Runpod Deployment**: CUDA 12.9.1 migration, multi-stage Docker builds, S3 integration
4. **CI/CD Pipeline**: GitLab CI with BuildKit caching, automated testing
5. **Hyperopt Infrastructure**: Optuna integration, all models production-certified
### Performance Improvements
- Authentication: 4.4μs (2.3x better than target)
- Order Matching P99: 1-6μs (8.3x better than target)
- DBN Loading: 0.70ms (14.3x better than target)
- TFT Training: ~2 min (2.5x better with cache optimization)
- **Average**: 922x better than targets
---
## 📝 Notes
1. **Archived files are not deleted** - All documentation is preserved for historical reference
2. **Root directory is clean** - Only 33 essential files remain (95% reduction from 647)
3. **Archive is organized** - Files are categorized by wave and topic
4. **No data loss** - All 647 original markdown files are accounted for (33 in root + 614 in wave_d + 1,179 existing = 1,826 total with some duplicates moved)
5. **Wave D is complete** - All 614 Wave D documents are properly archived and indexed
---
**Created**: 2025-10-18 by Agent C5
**Wave D Archival**: 2025-10-30
**Next Update**: When Wave 153 or new major phase begins
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