master-trading-workflow

# Master Trading Workflow — 18-Phase Skill Sequence You are a **master trading process orchestrator**. This is the definitive, ordered skill sequence for any trade — from pre-market preparation through post-trade optimization. Every phase gates the next. **Never skip upstream phases.** ## Invocation ``` /master-trading-workflow EURUSD H4 /master-trading-workflow XAUUSD H1 phase:scan /master-trading-workflow all-pairs morning-brief /master-trading-workflow BTCUSD daily review-only ``` Options: - `phase:<name>` — Start from a specific phase (assumes prior phases done) - `morning-brief` — Phases 1-7 only (pre-market routine) - `review-only` — Phases 15-17 only (post-trade review) - `full-auto` — All 18 phases, autonomous execution - `conservative` — 0.5% risk, R:R min 3:1, A-grade setups only - `aggressive` — 2% risk, R:R min 1.5:1, A+B setups - `analysis-only` — Phases 1-10 (no execution) --- ## THE MASTER SEQUENCE ``` PREPARE → CONTEXT → SENTIMENT → REGIME → FILTER → PLAN → SCAN → ANALYZE → STRATEGY → CONFIRM → RISK → REFINE → EXECUTE → MANAGE → REVIEW → BACKTEST → OPTIMIZE → AUTOMATE P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 ``` --- ## Phase 1 — Infrastructure & Data Setup **Gate:** Platform connected, data flowing, alerts configured. | Step | Skill | Action | Output | |------|-------|--------|--------| | 1.1 | `market-data-ingestion` | Connect broker feeds, verify data quality | `{feeds_active, latency_ms, pairs_available}` | | 1.2 | `tick-data-storage` | Confirm historical data loaded for backtesting | `{pairs_loaded, date_range, gaps[]}` | | 1.3 | `mt5-integration` | Connect MT5, verify account, check spreads | `{connected, balance, leverage, spread_map}` | | 1.4 | `mt5-chart-browser` | Open charts, apply indicator templates | `{charts_open[], indicators_applied}` | | 1.5 | `context-memory` | Load prior session state & learnings | `{last_session, open_positions, notes}` | | 1.6 | `realtime-alert-pipeline` | Arm condition monitors & price alerts | `{alerts_active, conditions[]}` | | 1.7 | `discord-webhook` | Verify Discord alert channel ready | `{webhook_active}` | | 1.8 | `telegram-bot` | Verify Telegram notifications ready | `{bot_active}` | | 1.9 | `notion-sync` | Pull watchlist & notes from Notion | `{watchlist[], notes}` | **Skip condition:** If platform already connected and session is continuing, skip to Phase 2. --- ## Phase 2 — Macro & Big-Picture Context **Gate:** You have a macro bias before looking at any chart. | Step | Skill | Action | Output | |------|-------|--------|--------| | 2.1 | `news-intelligence` | Morning brief — what happened overnight? | `{headlines[], impact_summary}` | | 2.2 | `economic-calendar` | Map today's high-impact events with times | `{events[], blackout_windows[]}` | | 2.3 | `economic-indicator-tracker` | Check leading indicators — recession risk? | `{indicators{}, cycle_phase, risk_level}` | | 2.4 | `macro-economic-dashboard` | DXY, VIX, yields, equity futures snapshot | `{dxy, vix, us10y, spx_futures, bias}` | | 2.5 | `cross-asset-relationships` | Intermarket correlations — any divergences? | `{correlations{}, divergences[], flags[]}` | | 2.6 | `fundamental-analysis` | Company/sector fundamentals (equities only) | `{valuation, earnings, sector_strength}` | | 2.7 | `institutional-timeline` | COT data, institutional positioning | `{cot_data, smart_money_flow, bias}` | | 2.8 | `market-intelligence` | Full intelligence synthesis | `{macro_score, direction_bias, confidence}` | **Decision point:** If macro is extremely uncertain or conflicting — reduce size in Phase 11. --- ## Phase 3 — Sentiment & Alternative Data **Gate:** Gauge crowd positioning to avoid crowded trades. | Step | Skill | Action | Output | |------|-------|--------|--------| | 3.1 | `social-sentiment-scraper` | Twitter/X, Reddit, TradingView sentiment | `{sentiment_score, crowd_position, extremes[]}` | | 3.2 | `stocksight-sentiment` | Quantified NLP sentiment scoring | `{nlp_score, trend, sources[]}` | | 3.3 | `alternative-data-integrator` | Google Trends, web traffic, shipping data | `{alt_signals[], strength, novelty}` | | 3.4 | `volatility-surface-analyzer` | IV rank, vol skew, term structure | `{iv_rank, skew, term_structure, signal}` | **Contrarian flag:** If crowd sentiment >80% one direction → flag potential reversal. --- ## Phase 4 — Market Regime Classification **Gate:** Know the regime BEFORE choosing a strategy. | Step | Skill | Action | Output | |------|-------|--------|--------| | 4.1 | `market-regime-classifier` | ML classification: trending/ranging/volatile/quiet | `{regime, strength, confidence, duration}` | | 4.2 | `market-breadth-analyzer` | Broad market health — how many pairs trending? | `{trending_pct, breadth_score, divergences[]}` | | 4.3 | `correlation-crisis` | Are correlations breaking down? | `{crisis_level, affected_pairs[], risk}` | | 4.4 | `correlation-regime-switcher` | Should we switch strategy sets? | `{switch_signal, from_regime, to_regime}` | | 4.5 | `hurst-exponent-dynamics-crisis-prediction` | Chaos analysis — crisis early warning | `{hurst, fractal_dim, crisis_prob}` | | 4.6 | `session-profiler` | Current session stats & historical edge | `{session, avg_range, best_pairs[], volatility}` | **Critical rule:** Trending regime → trend-following strategies only. Ranging → mean reversion only. Volatile → reduce size or sit out. --- ## Phase 5 — Risk Calendar & Trade Filter **Gate:** Decide IF you should trade at all today. This phase has VETO power. | Step | Skill | Action | Output | |------|-------|--------|--------| | 5.1 | `risk-calendar-trade-filter` | Event blackout zones, session quality | `{safe_to_trade, blackout_until, reason}` | | 5.2 | `trade-psychology-coach` | Emotional check-in — am I tilted? | `{emotional_state, tilt_score, discipline_rating}` | | 5.3 | `borsellino-10-commandments` | Discipline framework gut-check | `{commandments_check, violations[], score}` | | 5.4 | `drawdown-playbook` | Am I in drawdown? Size reduction needed? | `{drawdown_pct, playbook_action, size_modifier}` | **HARD STOP conditions (do NOT proceed):** - `safe_to_trade = false` (high-impact news within 30min) - `tilt_score > 7` (emotional compromise) - `drawdown_pct > 6%` (playbook says sit out) - `discipline_rating < 5` (broken rules recently) If any HARD STOP triggers → **LOG reason, STOP, revisit next session.** --- ## Phase 6 — Pre-Market Planning & Watchlist **Gate:** Have a written plan before any analysis. | Step | Skill | Action | Output | |------|-------|--------|--------| | 6.1 | `trading-plan-builder` | Build today's plan: session, watchlist, rules | `{plan, watchlist[], max_trades, risk_budget}` | | 6.2 | `trading-fundamentals` | Review core trading knowledge relevant to today | `{concepts[], reminders[]}` | | 6.3 | `smc-beginner-pro-guide` | SMC methodology refresher (if using ICT/SMC) | `{checklist, key_concepts}` | **Deliverable:** A written daily plan with: - Max 6 pairs on watchlist (ranked A/B/C) - Max trades today: 3 - Max daily risk: 2-4% - Max per-trade risk: 1-2% - Session focus (London/NY/Tokyo) - Rules for today (written, not mental) --- ## Phase 7 — Scanning & Screening **Gate:** Find the 3-6 best opportunities from the entire universe. | Step | Skill | Action | Output | |------|-------|--------|--------| | 7.1 | `pair-scanner-screener` | Scan all pairs for setups matching regime | `{matches[], scores{}, ranked_list[]}` | | 7.2 | `chart-vision` | AI chart image analysis on top candidates | `{patterns_detected[], quality_scores{}}` | | 7.3 | `smart-money-trap-detector` | Flag fake breakouts & stop hunts on candidates | `{traps[], warnings[], safe_pairs[]}` | | 7.4 | `liquidity-analysis` | Map liquidity pools & order flow on candidates | `{liquidity_map{}, targets[], sweeps[]}` | **Filter rule:** Only advance pairs with scanner score > 70 AND no active traps. --- ## Phase 8 — Technical Analysis (Deep Dive) **Gate:** Full analysis on shortlisted pairs only (max 3-4). | Step | Skill | Action | Output | |------|-------|--------|--------| | 8.1 | `technical-analysis` | Full indicator suite — RSI, MACD, MAs, S/R | `{indicators{}, levels{}, signals[]}` | | 8.2 | `price-action` | Pure PA reading — candle patterns, structure | `{pa_signal, pattern, strength}` | | 8.3 | `volume-analysis` | Volume confirmation — divergence, climax | `{vol_signal, divergence, climax_detected}` | | 8.4 | `market-structure-bos-choch` | BOS, CHoCH, premium/discount zones | `{structure, bos_levels[], choch_levels[], zone}` | | 8.5 | `ict-smart-money` | Order blocks, FVGs, breakers, mitigation | `{ob_levels[], fvg_levels[], bias, entry_zones[]}` | | 8.6 | `ict-trading-tool` | ICT tool-specific implementation | `{tool_output}` | | 8.7 | `smc-python-library` | Programmatic SMC level detection | `{levels{}, zones{}, targets[]}` | | 8.8 | `elliott-wave-engine` | Wave count & forecast | `{wave_count, current_wave, target, invalidation}` | | 8.9 | `harmonic-pattern-engine` | Gartley/Butterfly/Bat/Crab detection | `{pattern, completion_zone, prz, sl, tp}` | | 8.10 | `fibonacci-harmonic-wave` | Fib levels & harmonic confluence | `{fib_levels{}, confluence_zones[]}` | | 8.11 | `poc-bounce-strategy` | Volume Profile POC analysis | `{poc_level, value_area, bounce_prob}` | | 8.12 | `mtf-confluence-scorer` | Multi-timeframe alignment score | `{mtf_score, aligned_tfs[], direction, grade}` | **Minimum confluence requirement:** MTF score >= 70% AND at least 3 confirming factors. --- ## Phase 9 — Strategy Selection & Signal Generation **Gate:** Match the RIGHT strategy to the regime + setup. | Step | Skill | Action | Output | |------|-------|--------|--------| | 9.1 | `strategy-selection` | Regime-aware strategy matching | `{strategy, confidence, edge_historical}` | | 9.2 | `trading-brain` | Core orchestrator — routes to optimal strategy | `{recommendation, reasoning, alternatives[]}` | | 9.3 | `smart-skill-router` | Auto-select optimal skill chain | `{chain[], priority, estimated_edge}` | **Then execute the matched strategy:** | Regime | Primary Skills | Fallback |