# Strategic Planning & Roadmaps **Long-term strategic planning for Trading Bot v4 system enhancements.** This directory contains all *ROADMAP*.md files documenting planned improvements across multiple optimization dimensions. --- ## πŸ—ΊοΈ Active Roadmaps ### **Master Roadmap** - `OPTIMIZATION_MASTER_ROADMAP.md` - **Consolidated strategic view** - 3 major initiatives: Signal Quality, Position Scaling, ATR-based TP - Combined impact: 35-40% P&L improvement when complete - Data collection phases with 50-100 trade validation requirements - **Status:** Phase 1 (data collection) across all three initiatives ### **Signal Quality** - `SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md` - **Data-driven quality threshold optimization** - Phase 1: Collect 10-20 blocked signals (πŸ”„ IN PROGRESS) - Phase 2: Analyze patterns, adjust thresholds (πŸ”œ NEXT) - Phase 3: Dual-threshold system or quality-specific sizing - Phase 4: Automated price analysis for blocked signals - Phase 5: ML-based scoring weight optimization - **Goal:** Recover profitable setups currently blocked, filter true losers ### **Position Scaling** - `POSITION_SCALING_ROADMAP.md` - **TP/SL and runner optimization** - Phase 1: βœ… COMPLETE - Data collection with quality scores - Phase 2: ATR-based dynamic targets (adapt to volatility) - Phase 3: Signal quality-based scaling (high quality = larger runners) - Phase 4: Direction-based optimization (shorts vs longs) - Phase 5: βœ… COMPLETE - TP2-as-runner system (40% runner with ATR trailing) - Phase 6: ML-based exit prediction - **Goal:** Capture more of winning moves, reduce stop-outs ### **ATR-Based Risk Management** - `ATR_BASED_TP_ROADMAP.md` - **Volatility-adaptive TP/SL system** - Phase 1: ATR data collection from TradingView - Phase 2: βœ… COMPLETE - ATR-based TP/SL calculation (Nov 17, 2025) - Phase 3: Validation with 50+ trades - Phase 4: Per-symbol ATR calibration - **Goal:** Regime-agnostic targets (bull/bear markets adapt automatically) ### **1-Minute Data Enhancements** - `1MIN_DATA_ENHANCEMENTS_ROADMAP.md` - **High-frequency data utilization** - Phase 7.1: Smart Entry Timing (pullback detection) - Phase 7.2: Revenge Trading System (90s confirmation, ADX-based) - Phase 7.3: βœ… DEPLOYED - Adaptive Trailing Stop with real-time ADX (Nov 27, 2025) - Phase 7.4: Multi-timeframe signal validation - **Goal:** Use 1-minute data for entry timing, trailing stop optimization ### **Indicator Evolution** - `INDICATOR_V9_MA_GAP_ROADMAP.md` - **TradingView strategy development** - v9 Money Line: MA Gap analysis + Momentum SHORT Filter - Parameter optimization: 65,536 exhaustive sweep on EPYC cluster - Quality threshold tuning: LONG β‰₯90, SHORT β‰₯95 - **Goal:** Maximum profitability while maintaining quality standards ### **High Availability** - `HA_SETUP_ROADMAP.md` - **99.9%+ uptime infrastructure** - Phase 1-8: βœ… ALL COMPLETE (Nov 25, 2025) - Primary: srvdocker02 (95.216.52.28:3001) - Secondary: Hostinger (72.62.39.24:3001) - Database replication, DNS failover, auto-recovery - **Status:** Zero-downtime failover validated in production --- ## πŸ“Š Roadmap Methodology ### **Phase Structure** All roadmaps follow consistent phase naming: - **Phase 1:** Data collection (50-100 trades typical) - **Phase 2:** Analysis and pattern identification - **Phase 3:** Implementation and testing - **Phase 4:** Validation and optimization - **Phase 5:** Production deployment - **Phase 6+:** Advanced features (ML, automation) ### **Status Indicators** - βœ… **COMPLETE:** Implemented, deployed, validated with production data - πŸ”„ **IN PROGRESS:** Active development or data collection - πŸ”œ **NEXT:** Planned for immediate future (within 1-2 weeks) - 🎯 **FUTURE:** Planned but not yet started - πŸ€– **DISTANT:** Long-term goal (ML, advanced features) ### **Gating Criteria** **Before moving to next phase:** 1. **Data requirement met:** Minimum sample size achieved (50-100 trades) 2. **SQL analysis complete:** Patterns identified, validated statistically 3. **User approval:** For parameter changes affecting risk/profitability 4. **Deployment verified:** Code deployed, container restarted, logs confirmed 5. **Documentation updated:** Roadmap status, copilot-instructions.md, deployment docs --- ## 🎯 Current Focus (Dec 2025) ### **Active Data Collection** 1. **Blocked Signals:** 0/20 target (need 10-20 for threshold analysis) 2. **v9 Indicator:** 10/100 trades (parameter optimization ongoing) 3. **Adaptive Leverage:** 5/50 trades (10x vs 5x tier validation) 4. **Smart Entry Queue:** 0/30 validations (pullback confirmation system) ### **Recently Completed** - βœ… TP2-as-runner system (40% runner, ATR trailing) - βœ… ATR-based TP/SL (regime-agnostic targets) - βœ… Adaptive leverage (10x high quality, 5x borderline) - βœ… Phase 7.3 adaptive trailing (real-time ADX monitoring) - βœ… HA setup (zero-downtime failover) ### **Next Up** 1. **Quality threshold optimization** (LONG 90β†’?, SHORT 95β†’?) 2. **v9 parameter tuning** (65,536 combo EPYC sweep results) 3. **Multi-timeframe comparison** (5min vs 15min vs 1H) 4. **Smart Entry effectiveness** (Β±0.3% thresholds validation) --- ## πŸ“ Adding New Roadmaps **When to create roadmap:** - Multi-phase feature (>3 phases, >1 month duration) - Strategic initiative affecting core system behavior - Data collection requirement (need validation before production) - User financial goals alignment needed **Template Structure:** ```markdown # [Feature Name] Roadmap **Objective:** [One-line goal] **Expected Impact:** [Dollar amount or % improvement] **Duration:** [Estimated timeline] **Status:** [Current phase] --- ## Phase 1: [Name] (Status Emoji) **Objective:** [What to achieve] **Duration:** [Time estimate] **Data Required:** [Sample size] ### Tasks - [ ] Task 1 - [ ] Task 2 ### Success Criteria - [Measurable outcome] ### Gating Decision [What determines if we proceed to Phase 2] --- ## Phase 2-N: [Continue pattern] --- ## Progress Tracking | Phase | Status | Start Date | End Date | Key Milestone | |-------|--------|-----------|----------|---------------| | Phase 1 | πŸ”„ IN PROGRESS | YYYY-MM-DD | - | 50 trades collected | --- ## Dependencies - [Other roadmaps or features] ## Risks - [Technical challenges] - [Financial risks] ## Decision Points - [Key decisions requiring user approval] ``` --- ## πŸ” Finding Roadmap Info **By Status:** - Active β†’ `OPTIMIZATION_MASTER_ROADMAP.md` (consolidated view) - Complete β†’ Check βœ… markers in individual roadmaps - Next up β†’ Look for πŸ”œ NEXT indicators - Long-term β†’ πŸ€– DISTANT phases **By Feature:** - Quality β†’ `SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md` - Position sizing β†’ `POSITION_SCALING_ROADMAP.md` - ATR system β†’ `ATR_BASED_TP_ROADMAP.md` - 1-min data β†’ `1MIN_DATA_ENHANCEMENTS_ROADMAP.md` - Indicator β†’ `INDICATOR_V9_MA_GAP_ROADMAP.md` - Infrastructure β†’ `HA_SETUP_ROADMAP.md` **By Priority:** 1. **Critical path:** OPTIMIZATION_MASTER_ROADMAP.md 2. **Active development:** Any with πŸ”„ IN PROGRESS 3. **User-requested:** Check git commits for recent roadmap updates --- ## πŸ“ˆ Progress Tracking **Weekly Review:** 1. Update trade counts in data collection phases 2. Check SQL for analysis readiness (sample size thresholds) 3. Move phases from πŸ”„ to βœ… when complete 4. Update OPTIMIZATION_MASTER_ROADMAP.md combined impact estimates **Monthly Review:** 1. Validate expected vs actual impact (did optimization deliver promised %) 2. Adjust future phase estimates based on actual results 3. Reprioritize roadmaps based on performance data 4. Archive completed roadmaps to docs/archived/ **Milestone Commits:** ```bash git commit -m "roadmap: Phase X complete - [Feature Name] - Data collection: X/Y trades - Analysis results: [Key findings] - Deployment: [Date] - Impact: [Actual vs expected] Next: Phase X+1 starting [Date] " ``` --- ## ⚠️ Important Notes **Data-Driven Only:** - Never implement Phase 3 without Phase 2 analysis complete - Minimum 50 trades for statistical validity - SQL queries required to prove assumptions **User Approval Required:** - Quality threshold changes - Leverage adjustments - Risk parameter modifications - Position sizing changes **Real Money System:** - Every phase affects financial outcomes - Conservative estimates (under-promise, over-deliver) - Document both upside and downside scenarios - Rollback procedures for every deployment --- See `../README.md` for overall documentation structure.