[TASK-2026-02-03-ANALISIS-DDL-MODELADO] feat(ddl): FASE-3 Moderate P1 gaps

ST-3.1: Course tags system
- education.course_tags with slug, color, featured flag
- education.course_tag_assignments (M:N) with auto usage_count
- Seeds: 10 initial tags (forex, crypto, ICT, etc.)

ST-3.2: Drawing tools for charts
- Enum: trading.drawing_tool_type (18 types including ICT)
- trading.drawing_tools with JSONB points and styles
- trading.drawing_templates for reusable presets

ST-3.3: Complete agent_executions
- Added 10 columns: execution_time_ms, slippage, risk_score, etc.
- 5 new performance indexes
- Trigger for updated_at

ST-3.4: ML composite indexes
- 8 new composite/partial indexes for predictions
- Optimized for symbol+timeframe+date queries
- Partial indexes for high confidence and overlay display

New files: 7 DDL, 2 migrations, 1 seed
Modified: 3 existing DDL files

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

ddl/schemas/education/tables/18-course_tags.sql

@@ -0,0 +1,47 @@
+-- =====================================================
+-- TABLE: education.course_tags
+-- =====================================================
+-- Proyecto: OrbiQuant IA (Trading Platform)
+-- Modulo: OQI-002 - Education
+-- Purpose: Tags for categorizing and searching courses
+-- Related: OQI-002 Education Module, GAP-005
+-- Created: 2026-02-03
+-- =====================================================
+
+CREATE TABLE IF NOT EXISTS education.course_tags (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    name VARCHAR(50) NOT NULL,
+    slug VARCHAR(50) NOT NULL UNIQUE,
+    description TEXT,
+    color VARCHAR(7) DEFAULT '#6B7280', -- Hex color for UI
+    icon VARCHAR(50), -- Icon identifier
+    is_featured BOOLEAN NOT NULL DEFAULT false,
+    usage_count INTEGER NOT NULL DEFAULT 0,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    CONSTRAINT course_tags_name_not_empty CHECK (length(trim(name)) > 0),
+    CONSTRAINT course_tags_slug_format CHECK (slug ~ '^[a-z0-9-]+$'),
+    CONSTRAINT course_tags_color_format CHECK (color ~ '^#[0-9A-Fa-f]{6}$'),
+    CONSTRAINT course_tags_usage_positive CHECK (usage_count >= 0)
+);
+
+-- Indexes
+CREATE INDEX idx_course_tags_slug ON education.course_tags(slug);
+CREATE INDEX idx_course_tags_name ON education.course_tags(name);
+CREATE INDEX idx_course_tags_featured ON education.course_tags(is_featured) WHERE is_featured = true;
+CREATE INDEX idx_course_tags_usage ON education.course_tags(usage_count DESC);
+
+-- Trigger
+CREATE TRIGGER trg_course_tags_updated_at
+    BEFORE UPDATE ON education.course_tags
+    FOR EACH ROW
+    EXECUTE FUNCTION public.update_updated_at();
+
+-- Comments
+COMMENT ON TABLE education.course_tags IS 'Tags for categorizing courses (e.g., forex, crypto, technical-analysis)';
+COMMENT ON COLUMN education.course_tags.slug IS 'URL-friendly identifier for the tag';
+COMMENT ON COLUMN education.course_tags.color IS 'Hex color code for UI display';
+COMMENT ON COLUMN education.course_tags.icon IS 'Icon identifier for UI display';
+COMMENT ON COLUMN education.course_tags.is_featured IS 'Whether tag appears in featured/promoted sections';
+COMMENT ON COLUMN education.course_tags.usage_count IS 'Denormalized count of courses using this tag';

ddl/schemas/education/tables/19-course_tag_assignments.sql

@@ -0,0 +1,50 @@
+-- =====================================================
+-- TABLE: education.course_tag_assignments
+-- =====================================================
+-- Proyecto: OrbiQuant IA (Trading Platform)
+-- Modulo: OQI-002 - Education
+-- Purpose: Many-to-many relationship between courses and tags
+-- Related: OQI-002 Education Module, GAP-005
+-- Created: 2026-02-03
+-- =====================================================
+
+CREATE TABLE IF NOT EXISTS education.course_tag_assignments (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    course_id UUID NOT NULL REFERENCES education.courses(id) ON DELETE CASCADE,
+    tag_id UUID NOT NULL REFERENCES education.course_tags(id) ON DELETE CASCADE,
+    assigned_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    assigned_by UUID REFERENCES auth.users(id),
+
+    CONSTRAINT unique_course_tag UNIQUE (course_id, tag_id)
+);
+
+-- Indexes
+CREATE INDEX idx_course_tag_assignments_course ON education.course_tag_assignments(course_id);
+CREATE INDEX idx_course_tag_assignments_tag ON education.course_tag_assignments(tag_id);
+
+-- Function to update usage_count on course_tags
+CREATE OR REPLACE FUNCTION education.update_tag_usage_count()
+RETURNS TRIGGER AS $$
+BEGIN
+    IF TG_OP = 'INSERT' THEN
+        UPDATE education.course_tags SET usage_count = usage_count + 1 WHERE id = NEW.tag_id;
+    ELSIF TG_OP = 'DELETE' THEN
+        UPDATE education.course_tags SET usage_count = usage_count - 1 WHERE id = OLD.tag_id;
+    END IF;
+    RETURN NULL;
+END;
+$$ LANGUAGE plpgsql;
+
+-- Trigger to maintain usage_count
+CREATE TRIGGER trg_course_tag_usage
+    AFTER INSERT OR DELETE ON education.course_tag_assignments
+    FOR EACH ROW
+    EXECUTE FUNCTION education.update_tag_usage_count();
+
+-- Comments
+COMMENT ON TABLE education.course_tag_assignments IS 'Junction table for course-tag relationships';
+COMMENT ON COLUMN education.course_tag_assignments.course_id IS 'Reference to the course';
+COMMENT ON COLUMN education.course_tag_assignments.tag_id IS 'Reference to the tag';
+COMMENT ON COLUMN education.course_tag_assignments.assigned_at IS 'When the tag was assigned to the course';
+COMMENT ON COLUMN education.course_tag_assignments.assigned_by IS 'User who assigned the tag (optional)';
+COMMENT ON FUNCTION education.update_tag_usage_count() IS 'Maintains denormalized usage_count in course_tags table';

ddl/schemas/investment/tables/10-agent_executions.sql

@@ -3,8 +3,11 @@
 -- =====================================================
 -- Description: Tracking de ejecuciones de trading agents
 -- Schema: investment
--- Gap: GAP-DDL-005
+-- Gap: GAP-DDL-005, GAP-007
+-- Task: ST-3.3
 -- Created: 2026-02-03
+-- Updated: 2026-02-03
+-- Related: OQI-004 Investment Accounts
 -- =====================================================
 
 CREATE TABLE investment.agent_executions (
@@ -21,55 +24,149 @@ CREATE TABLE investment.agent_executions (
     execution_type IN ('trade', 'rebalance', 'distribution', 'stop_loss', 'take_profit', 'hedge')
   ),
 
-  -- Detalles del trade (si aplica)
+  -- Detalles del trade
   symbol VARCHAR(20),
   side VARCHAR(4) CHECK (side IN ('buy', 'sell')),
   quantity DECIMAL(20,8),
   entry_price DECIMAL(20,8),
   exit_price DECIMAL(20,8),
 
-  -- Resultado
+  -- Resultado (P&L)
   pnl DECIMAL(20,8),
   pnl_percentage DECIMAL(8,4),
   fees DECIMAL(20,8) DEFAULT 0,
 
-  -- Detalles adicionales
+  -- Metricas de ejecucion
+  execution_time_ms INTEGER,
+  slippage DECIMAL(20,8),
+
+  -- Metricas de riesgo
+  risk_score DECIMAL(5,4) CHECK (risk_score IS NULL OR risk_score BETWEEN 0 AND 1),
+  position_size_percent DECIMAL(5,2),
+
+  -- Detalles adicionales (JSON)
   trade_details JSONB DEFAULT '{}',
-  market_conditions JSONB, -- volatility, trend, etc.
+  market_conditions JSONB, -- volatility, trend, liquidity, etc.
 
   -- Estado
   status VARCHAR(20) DEFAULT 'executed' CHECK (
     status IN ('pending', 'executed', 'partially_filled', 'cancelled', 'failed')
   ),
+  error_code VARCHAR(50),
   failure_reason TEXT,
+  notes TEXT,
 
   -- Metadata ML/AI
-  signal_source VARCHAR(50), -- ml_model, llm, manual, scheduled
+  signal_source VARCHAR(50), -- ml_model, llm, manual, scheduled, ensemble
-  confidence_score DECIMAL(5,4),
+  confidence_score DECIMAL(5,4) CHECK (confidence_score IS NULL OR confidence_score BETWEEN 0 AND 1),
   model_version VARCHAR(50),
+  model_id UUID, -- Reference to ML model
+
+  -- Referencias externas
+  external_order_id VARCHAR(100),
 
   -- Timestamps
   executed_at TIMESTAMPTZ DEFAULT NOW(),
-  created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
+  closed_at TIMESTAMPTZ,
+  created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+  updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
 );
 
--- Indices
+-- =====================================================
+-- INDEXES
+-- =====================================================
+
+-- Primary lookup indexes
 CREATE INDEX idx_agent_exec_account ON investment.agent_executions(account_id);
 CREATE INDEX idx_agent_exec_type ON investment.agent_executions(agent_type);
-CREATE INDEX idx_agent_exec_date ON investment.agent_executions(executed_at DESC);
-CREATE INDEX idx_agent_exec_symbol ON investment.agent_executions(symbol)
-  WHERE symbol IS NOT NULL;
-CREATE INDEX idx_agent_exec_pnl ON investment.agent_executions(pnl)
-  WHERE pnl IS NOT NULL;
 CREATE INDEX idx_agent_exec_status ON investment.agent_executions(status);
 
--- Indice compuesto para reportes
+-- Time-based indexes
+CREATE INDEX idx_agent_exec_date ON investment.agent_executions(executed_at DESC);
 CREATE INDEX idx_agent_exec_account_date ON investment.agent_executions(account_id, executed_at DESC);
 
--- Comentarios
+-- Symbol and P&L indexes (partial for efficiency)
+CREATE INDEX idx_agent_exec_symbol ON investment.agent_executions(symbol)
+  WHERE symbol IS NOT NULL;
+CREATE INDEX idx_agent_exec_pnl ON investment.agent_executions(pnl DESC NULLS LAST)
+  WHERE pnl IS NOT NULL;
+
+-- Performance analysis indexes
+CREATE INDEX idx_agent_exec_slippage ON investment.agent_executions(slippage)
+  WHERE slippage IS NOT NULL;
+CREATE INDEX idx_agent_exec_risk_score ON investment.agent_executions(risk_score)
+  WHERE risk_score IS NOT NULL;
+
+-- External reference indexes
+CREATE INDEX idx_agent_exec_external_order ON investment.agent_executions(external_order_id)
+  WHERE external_order_id IS NOT NULL;
+CREATE INDEX idx_agent_exec_model ON investment.agent_executions(model_id)
+  WHERE model_id IS NOT NULL;
+
+-- Signal analysis index (composite)
+CREATE INDEX idx_agent_exec_signal_confidence ON investment.agent_executions(signal_source, confidence_score DESC NULLS LAST)
+  WHERE signal_source IS NOT NULL;
+
+-- =====================================================
+-- TRIGGER
+-- =====================================================
+
+CREATE TRIGGER trg_agent_executions_updated_at
+    BEFORE UPDATE ON investment.agent_executions
+    FOR EACH ROW
+    EXECUTE FUNCTION public.update_updated_at();
+
+-- =====================================================
+-- COMMENTS
+-- =====================================================
+
 COMMENT ON TABLE investment.agent_executions IS 'Tracking de ejecuciones de trading agents (Atlas, Orion, Nova)';
+
+-- Agent and execution type
 COMMENT ON COLUMN investment.agent_executions.agent_type IS 'Agente que ejecuto: atlas (conservador), orion (moderado), nova (agresivo)';
 COMMENT ON COLUMN investment.agent_executions.execution_type IS 'Tipo: trade, rebalance, distribution, stop_loss, take_profit, hedge';
-COMMENT ON COLUMN investment.agent_executions.trade_details IS 'JSON con detalles adicionales del trade';
+
-COMMENT ON COLUMN investment.agent_executions.market_conditions IS 'Condiciones de mercado al momento de ejecucion';
+-- Trade details
-COMMENT ON COLUMN investment.agent_executions.signal_source IS 'Fuente de la senal: ml_model, llm, manual, scheduled';
+COMMENT ON COLUMN investment.agent_executions.symbol IS 'Trading pair symbol (e.g., BTCUSDT, EURUSD)';
+COMMENT ON COLUMN investment.agent_executions.side IS 'Trade direction: buy or sell';
+COMMENT ON COLUMN investment.agent_executions.quantity IS 'Position size in base currency';
+COMMENT ON COLUMN investment.agent_executions.entry_price IS 'Entry price of the position';
+COMMENT ON COLUMN investment.agent_executions.exit_price IS 'Exit price (null if position still open)';
+
+-- P&L
+COMMENT ON COLUMN investment.agent_executions.pnl IS 'Profit/Loss in quote currency';
+COMMENT ON COLUMN investment.agent_executions.pnl_percentage IS 'P&L as percentage of position';
+COMMENT ON COLUMN investment.agent_executions.fees IS 'Trading fees/commissions paid';
+
+-- Execution metrics
+COMMENT ON COLUMN investment.agent_executions.execution_time_ms IS 'Time taken to execute the trade in milliseconds';
+COMMENT ON COLUMN investment.agent_executions.slippage IS 'Price slippage between requested and executed price';
+
+-- Risk metrics
+COMMENT ON COLUMN investment.agent_executions.risk_score IS 'Risk assessment score at time of execution (0-1)';
+COMMENT ON COLUMN investment.agent_executions.position_size_percent IS 'Position size as percentage of portfolio';
+
+-- JSON details
+COMMENT ON COLUMN investment.agent_executions.trade_details IS 'JSON with additional trade details (leverage, margin, etc.)';
+COMMENT ON COLUMN investment.agent_executions.market_conditions IS 'Market conditions at execution (volatility, trend, liquidity)';
+
+-- Status and errors
+COMMENT ON COLUMN investment.agent_executions.status IS 'Execution status: pending, executed, partially_filled, cancelled, failed';
+COMMENT ON COLUMN investment.agent_executions.error_code IS 'Standardized error code for failures';
+COMMENT ON COLUMN investment.agent_executions.failure_reason IS 'Detailed failure description';
+COMMENT ON COLUMN investment.agent_executions.notes IS 'Manual annotations or additional context';
+
+-- ML/AI metadata
+COMMENT ON COLUMN investment.agent_executions.signal_source IS 'Signal origin: ml_model, llm, manual, scheduled, ensemble';
+COMMENT ON COLUMN investment.agent_executions.confidence_score IS 'ML model confidence score (0-1)';
+COMMENT ON COLUMN investment.agent_executions.model_version IS 'Version of the ML model used';
+COMMENT ON COLUMN investment.agent_executions.model_id IS 'Reference to ML model that generated the signal';
+
+-- External references
+COMMENT ON COLUMN investment.agent_executions.external_order_id IS 'Order ID from external broker/exchange (Binance, MT4, etc.)';
+
+-- Timestamps
+COMMENT ON COLUMN investment.agent_executions.executed_at IS 'When the trade was executed';
+COMMENT ON COLUMN investment.agent_executions.closed_at IS 'When the position was closed';
+COMMENT ON COLUMN investment.agent_executions.created_at IS 'Record creation timestamp';
+COMMENT ON COLUMN investment.agent_executions.updated_at IS 'Last modification timestamp';

ddl/schemas/ml/tables/03-predictions.sql

@@ -92,3 +92,51 @@ COMMENT ON COLUMN ml.predictions.model_output IS
   "raw_score": 0.5823,
   "feature_contributions": {...}
 }';
+
+-- =====================================================
+-- PERFORMANCE COMPOSITE INDEXES (added 2026-02-03, ST-3.4)
+-- =====================================================
+
+-- Index 1: Symbol + Timeframe + Created (most common query pattern)
+-- Use: WHERE symbol = ? AND timeframe = ? ORDER BY created_at DESC
+CREATE INDEX idx_predictions_symbol_timeframe_created
+ON ml.predictions(symbol, timeframe, created_at DESC);
+
+-- Index 2: Symbol + Prediction Type + Created (filtered queries)
+-- Use: WHERE symbol = ? AND prediction_type = ? ORDER BY created_at DESC
+CREATE INDEX idx_predictions_symbol_type_created
+ON ml.predictions(symbol, prediction_type, created_at DESC);
+
+-- Index 3: Model + Symbol + Timeframe (model-specific queries)
+-- Use: WHERE model_id = ? AND symbol = ? AND timeframe = ? ORDER BY created_at DESC
+CREATE INDEX idx_predictions_model_symbol_timeframe
+ON ml.predictions(model_id, symbol, timeframe, created_at DESC);
+
+-- Index 4: High confidence predictions (partial index)
+-- Use: WHERE symbol = ? AND timeframe = ? AND confidence_score >= 0.7
+CREATE INDEX idx_predictions_high_confidence
+ON ml.predictions(symbol, timeframe, created_at DESC)
+WHERE confidence_score >= 0.7;
+
+-- Index 5: Recent valid predictions (partial index for active queries)
+-- Use: WHERE symbol = ? AND timeframe = ? AND valid_until IS NOT NULL
+CREATE INDEX idx_predictions_recent_valid
+ON ml.predictions(symbol, timeframe, prediction_type, created_at DESC)
+WHERE valid_until IS NOT NULL;
+
+-- Index 6: Overlay display (for chart rendering)
+-- Use: WHERE symbol = ? AND timeframe = ? AND show_on_chart = true
+CREATE INDEX idx_predictions_overlay_display
+ON ml.predictions(symbol, timeframe, display_priority DESC, created_at DESC)
+WHERE (chart_config->>'show_on_chart')::boolean = true;
+
+-- Index 7: Symbol + Confidence Score (ranking queries)
+-- Use: WHERE symbol = ? ORDER BY confidence_score DESC
+CREATE INDEX idx_predictions_symbol_confidence
+ON ml.predictions(symbol, confidence_score DESC, created_at DESC);
+
+-- Index 8: Timeframe + Prediction Result (cross-symbol analysis)
+-- Use: WHERE timeframe = ? AND prediction_result = ? ORDER BY created_at DESC
+CREATE INDEX idx_predictions_timeframe_result_created
+ON ml.predictions(timeframe, prediction_result, created_at DESC)
+WHERE prediction_result IS NOT NULL;

ddl/schemas/trading/00-enums.sql

@@ -83,3 +83,27 @@ CREATE TYPE trading.bot_status AS ENUM (
   'stopped',
   'error'
 );
+
+-- Drawing tool types for chart annotations
+CREATE TYPE trading.drawing_tool_type AS ENUM (
+    'trend_line',
+    'horizontal_line',
+    'vertical_line',
+    'ray',
+    'extended_line',
+    'parallel_channel',
+    'fibonacci_retracement',
+    'fibonacci_extension',
+    'rectangle',
+    'ellipse',
+    'triangle',
+    'arrow',
+    'text',
+    'price_range',
+    'date_range',
+    'order_block',
+    'fair_value_gap',
+    'liquidity_level'
+);
+
+COMMENT ON TYPE trading.drawing_tool_type IS 'Types of drawing tools available on charts';

ddl/schemas/trading/tables/12-drawing_tools.sql

@@ -0,0 +1,77 @@
+-- ============================================================================
+-- Schema: trading
+-- File: 12-drawing_tools.sql
+-- Description: User drawings and annotations on trading charts
+-- Related: OQI-003 Trading Charts, GAP-006
+-- Dependencies: 00-enums.sql, 01-symbols.sql, auth.users
+-- ============================================================================
+
+CREATE TABLE IF NOT EXISTS trading.drawing_tools (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    user_id UUID NOT NULL REFERENCES auth.users(id) ON DELETE CASCADE,
+    symbol_id UUID NOT NULL REFERENCES trading.symbols(id) ON DELETE CASCADE,
+    timeframe trading.timeframe NOT NULL,
+    tool_type trading.drawing_tool_type NOT NULL,
+    name VARCHAR(100),
+
+    -- Coordinates (stored as JSON for flexibility)
+    points JSONB NOT NULL DEFAULT '[]', -- Array of {time, price} points
+
+    -- Style configuration
+    style JSONB NOT NULL DEFAULT '{
+        "color": "#2196F3",
+        "lineWidth": 1,
+        "lineStyle": "solid",
+        "fillColor": null,
+        "fillOpacity": 0.2,
+        "showLabel": true,
+        "labelPosition": "right"
+    }',
+
+    -- Fibonacci specific (if applicable)
+    fib_levels DECIMAL(5,4)[] DEFAULT NULL, -- e.g., {0, 0.236, 0.382, 0.5, 0.618, 0.786, 1}
+
+    -- Text content (for text/label tools)
+    text_content TEXT,
+
+    -- Visibility and state
+    is_visible BOOLEAN NOT NULL DEFAULT true,
+    is_locked BOOLEAN NOT NULL DEFAULT false,
+    z_index INTEGER NOT NULL DEFAULT 0,
+
+    -- Template/sharing
+    is_template BOOLEAN NOT NULL DEFAULT false,
+    is_shared BOOLEAN NOT NULL DEFAULT false,
+
+    -- Metadata
+    metadata JSONB DEFAULT '{}',
+
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    CONSTRAINT drawing_tools_points_not_empty CHECK (jsonb_array_length(points) >= 1)
+);
+
+-- Indexes
+CREATE INDEX idx_drawing_tools_user_id ON trading.drawing_tools(user_id);
+CREATE INDEX idx_drawing_tools_symbol_id ON trading.drawing_tools(symbol_id);
+CREATE INDEX idx_drawing_tools_user_symbol ON trading.drawing_tools(user_id, symbol_id, timeframe);
+CREATE INDEX idx_drawing_tools_visible ON trading.drawing_tools(user_id, is_visible) WHERE is_visible = true;
+CREATE INDEX idx_drawing_tools_templates ON trading.drawing_tools(is_template) WHERE is_template = true;
+CREATE INDEX idx_drawing_tools_shared ON trading.drawing_tools(is_shared) WHERE is_shared = true;
+CREATE INDEX idx_drawing_tools_points ON trading.drawing_tools USING GIN(points);
+
+-- Trigger
+CREATE TRIGGER trg_drawing_tools_updated_at
+    BEFORE UPDATE ON trading.drawing_tools
+    FOR EACH ROW
+    EXECUTE FUNCTION public.update_updated_at();
+
+-- Comments
+COMMENT ON TABLE trading.drawing_tools IS 'User drawings and annotations on trading charts';
+COMMENT ON COLUMN trading.drawing_tools.points IS 'Array of coordinate points [{time: ISO string, price: number}]';
+COMMENT ON COLUMN trading.drawing_tools.style IS 'Visual style configuration (color, line width, fill, etc.)';
+COMMENT ON COLUMN trading.drawing_tools.fib_levels IS 'Fibonacci levels for retracement/extension tools';
+COMMENT ON COLUMN trading.drawing_tools.z_index IS 'Z-index for layering multiple drawings';
+COMMENT ON COLUMN trading.drawing_tools.is_template IS 'Whether this drawing can be used as a template';
+COMMENT ON COLUMN trading.drawing_tools.is_shared IS 'Whether this drawing is visible to other users';

ddl/schemas/trading/tables/13-drawing_templates.sql

@@ -0,0 +1,45 @@
+-- ============================================================================
+-- Schema: trading
+-- File: 13-drawing_templates.sql
+-- Description: Reusable drawing templates and presets
+-- Related: OQI-003 Trading Charts, GAP-006
+-- Dependencies: 00-enums.sql, auth.users
+-- ============================================================================
+
+CREATE TABLE IF NOT EXISTS trading.drawing_templates (
+    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
+    user_id UUID REFERENCES auth.users(id) ON DELETE CASCADE, -- NULL = system template
+    name VARCHAR(100) NOT NULL,
+    description TEXT,
+    tool_type trading.drawing_tool_type NOT NULL,
+    style JSONB NOT NULL,
+    fib_levels DECIMAL(5,4)[] DEFAULT NULL,
+    is_system BOOLEAN NOT NULL DEFAULT false,
+    is_public BOOLEAN NOT NULL DEFAULT false,
+    usage_count INTEGER NOT NULL DEFAULT 0,
+    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
+
+    CONSTRAINT drawing_templates_name_not_empty CHECK (length(trim(name)) > 0)
+);
+
+-- Indexes
+CREATE INDEX idx_drawing_templates_user ON trading.drawing_templates(user_id);
+CREATE INDEX idx_drawing_templates_tool_type ON trading.drawing_templates(tool_type);
+CREATE INDEX idx_drawing_templates_public ON trading.drawing_templates(is_public) WHERE is_public = true;
+CREATE INDEX idx_drawing_templates_system ON trading.drawing_templates(is_system) WHERE is_system = true;
+
+-- Trigger
+CREATE TRIGGER trg_drawing_templates_updated_at
+    BEFORE UPDATE ON trading.drawing_templates
+    FOR EACH ROW
+    EXECUTE FUNCTION public.update_updated_at();
+
+-- Comments
+COMMENT ON TABLE trading.drawing_templates IS 'Reusable drawing templates and presets for chart annotations';
+COMMENT ON COLUMN trading.drawing_templates.user_id IS 'Owner of template, NULL for system templates';
+COMMENT ON COLUMN trading.drawing_templates.style IS 'Default style configuration for the template';
+COMMENT ON COLUMN trading.drawing_templates.fib_levels IS 'Default Fibonacci levels for retracement/extension templates';
+COMMENT ON COLUMN trading.drawing_templates.is_system IS 'System-provided template (cannot be deleted by users)';
+COMMENT ON COLUMN trading.drawing_templates.is_public IS 'Template is visible to all users';
+COMMENT ON COLUMN trading.drawing_templates.usage_count IS 'Number of times this template has been applied';

migrations/2026-02-03_add_ml_composite_indexes.sql

@@ -0,0 +1,108 @@
+-- =====================================================
+-- MIGRATION: Add composite indexes to ml.predictions for performance
+-- =====================================================
+-- Date: 2026-02-03
+-- Task: ST-3.4, GAP-008
+-- Description: Optimize query performance with composite indexes
+-- =====================================================
+
+-- ===========================================
+-- COMPOSITE INDEX 1: Symbol + Timeframe + Created
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ? AND timeframe = ?
+--                ORDER BY created_at DESC LIMIT ?
+-- Use case: Most common query for fetching latest predictions for a symbol/timeframe
+CREATE INDEX IF NOT EXISTS idx_predictions_symbol_timeframe_created
+ON ml.predictions(symbol, timeframe, created_at DESC);
+
+-- ===========================================
+-- COMPOSITE INDEX 2: Symbol + Prediction Type + Created
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ? AND prediction_type = ?
+--                ORDER BY created_at DESC
+-- Use case: Filtered queries by prediction type (e.g., only DIRECTION predictions)
+CREATE INDEX IF NOT EXISTS idx_predictions_symbol_type_created
+ON ml.predictions(symbol, prediction_type, created_at DESC);
+
+-- ===========================================
+-- COMPOSITE INDEX 3: Model + Symbol + Timeframe + Created
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE model_id = ? AND symbol = ? AND timeframe = ?
+--                ORDER BY created_at DESC
+-- Use case: Model-specific prediction queries for analysis and comparison
+CREATE INDEX IF NOT EXISTS idx_predictions_model_symbol_timeframe
+ON ml.predictions(model_id, symbol, timeframe, created_at DESC);
+
+-- ===========================================
+-- COMPOSITE INDEX 4: High Confidence Predictions (Partial)
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ? AND timeframe = ? AND confidence_score >= 0.7
+--                ORDER BY created_at DESC
+-- Use case: Fetch only high-confidence predictions for display/alerts
+CREATE INDEX IF NOT EXISTS idx_predictions_high_confidence
+ON ml.predictions(symbol, timeframe, created_at DESC)
+WHERE confidence_score >= 0.7;
+
+-- ===========================================
+-- COMPOSITE INDEX 5: Recent Valid Predictions (Partial)
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ? AND timeframe = ? AND valid_until > NOW()
+--                ORDER BY prediction_type, created_at DESC
+-- Use case: Active predictions that haven't expired yet
+-- Note: Uses immutable predicate-safe pattern (valid_until compared at query time)
+CREATE INDEX IF NOT EXISTS idx_predictions_recent_valid
+ON ml.predictions(symbol, timeframe, prediction_type, created_at DESC)
+WHERE valid_until IS NOT NULL;
+
+-- ===========================================
+-- COMPOSITE INDEX 6: Overlay Display for Charts
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ? AND timeframe = ?
+--                  AND (chart_config->>'show_on_chart')::boolean = true
+--                ORDER BY display_priority DESC, created_at DESC
+-- Use case: Chart rendering - fetch predictions configured for display
+CREATE INDEX IF NOT EXISTS idx_predictions_overlay_display
+ON ml.predictions(symbol, timeframe, display_priority DESC, created_at DESC)
+WHERE (chart_config->>'show_on_chart')::boolean = true;
+
+-- ===========================================
+-- COMPOSITE INDEX 7: Symbol + Confidence Score (Descending)
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE symbol = ?
+--                ORDER BY confidence_score DESC
+-- Use case: Ranking predictions by confidence for a symbol
+CREATE INDEX IF NOT EXISTS idx_predictions_symbol_confidence
+ON ml.predictions(symbol, confidence_score DESC, created_at DESC);
+
+-- ===========================================
+-- COMPOSITE INDEX 8: Timeframe + Prediction Result + Created
+-- ===========================================
+-- Query pattern: SELECT * FROM ml.predictions
+--                WHERE timeframe = ? AND prediction_result = ?
+--                ORDER BY created_at DESC
+-- Use case: Cross-symbol analysis of specific prediction results (e.g., all BUY signals on 1H)
+CREATE INDEX IF NOT EXISTS idx_predictions_timeframe_result_created
+ON ml.predictions(timeframe, prediction_result, created_at DESC)
+WHERE prediction_result IS NOT NULL;
+
+-- ===========================================
+-- DOCUMENTATION NOTES
+-- ===========================================
+-- Performance considerations:
+-- 1. These indexes are designed for read-heavy workloads
+-- 2. Partial indexes reduce storage and improve write performance
+-- 3. DESC ordering on timestamps optimizes LIMIT queries for recent data
+-- 4. Run ANALYZE after creation in production:
+--    ANALYZE ml.predictions;
+--
+-- Index maintenance:
+-- - Monitor pg_stat_user_indexes for usage statistics
+-- - Consider REINDEX CONCURRENTLY if fragmentation occurs
+-- - Review query plans with EXPLAIN ANALYZE periodically

migrations/2026-02-03_complete_agent_executions.sql

@@ -0,0 +1,124 @@
+-- =====================================================
+-- Migration: Complete agent_executions table
+-- =====================================================
+-- Description: Add missing columns for detailed execution tracking
+-- Date: 2026-02-03
+-- Task: ST-3.3, GAP-007
+-- Related: OQI-004 Investment Accounts
+-- =====================================================
+
+-- =====================================================
+-- ADD MISSING COLUMNS
+-- =====================================================
+
+-- Execution performance metrics
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS execution_time_ms INTEGER,
+ADD COLUMN IF NOT EXISTS slippage DECIMAL(20,8);
+
+-- Risk metrics
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS risk_score DECIMAL(5,4) CHECK (risk_score IS NULL OR risk_score BETWEEN 0 AND 1),
+ADD COLUMN IF NOT EXISTS position_size_percent DECIMAL(5,2);
+
+-- External references
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS external_order_id VARCHAR(100),
+ADD COLUMN IF NOT EXISTS model_id UUID;
+
+-- Additional timestamps for lifecycle tracking
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS closed_at TIMESTAMPTZ,
+ADD COLUMN IF NOT EXISTS updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW();
+
+-- Error tracking (complement existing failure_reason)
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS error_code VARCHAR(50);
+
+-- Notes field for manual annotations
+ALTER TABLE investment.agent_executions
+ADD COLUMN IF NOT EXISTS notes TEXT;
+
+-- =====================================================
+-- ADD PERFORMANCE INDEXES
+-- =====================================================
+
+-- Index for slippage analysis
+CREATE INDEX IF NOT EXISTS idx_agent_exec_slippage
+ON investment.agent_executions(slippage)
+WHERE slippage IS NOT NULL;
+
+-- Index for risk score analysis
+CREATE INDEX IF NOT EXISTS idx_agent_exec_risk_score
+ON investment.agent_executions(risk_score)
+WHERE risk_score IS NOT NULL;
+
+-- Index for external order lookups
+CREATE INDEX IF NOT EXISTS idx_agent_exec_external_order
+ON investment.agent_executions(external_order_id)
+WHERE external_order_id IS NOT NULL;
+
+-- Index for model performance tracking
+CREATE INDEX IF NOT EXISTS idx_agent_exec_model
+ON investment.agent_executions(model_id)
+WHERE model_id IS NOT NULL;
+
+-- Composite index for signal source analysis
+CREATE INDEX IF NOT EXISTS idx_agent_exec_signal_confidence
+ON investment.agent_executions(signal_source, confidence_score DESC NULLS LAST)
+WHERE signal_source IS NOT NULL;
+
+-- =====================================================
+-- ADD TRIGGER FOR updated_at
+-- =====================================================
+
+-- Create trigger function if not exists (reuse common function)
+DO $$
+BEGIN
+    -- Check if public.update_updated_at exists, if not use a local one
+    IF NOT EXISTS (
+        SELECT 1 FROM pg_proc p
+        JOIN pg_namespace n ON p.pronamespace = n.oid
+        WHERE n.nspname = 'public' AND p.proname = 'update_updated_at'
+    ) THEN
+        CREATE OR REPLACE FUNCTION public.update_updated_at()
+        RETURNS TRIGGER AS $func$
+        BEGIN
+            NEW.updated_at = NOW();
+            RETURN NEW;
+        END;
+        $func$ LANGUAGE plpgsql;
+    END IF;
+END $$;
+
+-- Create or replace trigger
+DROP TRIGGER IF EXISTS trg_agent_executions_updated_at ON investment.agent_executions;
+
+CREATE TRIGGER trg_agent_executions_updated_at
+    BEFORE UPDATE ON investment.agent_executions
+    FOR EACH ROW
+    EXECUTE FUNCTION public.update_updated_at();
+
+-- =====================================================
+-- ADD COMMENTS FOR NEW COLUMNS
+-- =====================================================
+
+COMMENT ON COLUMN investment.agent_executions.execution_time_ms IS 'Time taken to execute the trade in milliseconds';
+COMMENT ON COLUMN investment.agent_executions.slippage IS 'Price slippage between requested and executed price';
+COMMENT ON COLUMN investment.agent_executions.risk_score IS 'Risk assessment score at time of execution (0-1)';
+COMMENT ON COLUMN investment.agent_executions.position_size_percent IS 'Position size as percentage of portfolio';
+COMMENT ON COLUMN investment.agent_executions.external_order_id IS 'Order ID from external broker/exchange';
+COMMENT ON COLUMN investment.agent_executions.model_id IS 'Reference to ML model that generated the signal';
+COMMENT ON COLUMN investment.agent_executions.closed_at IS 'Timestamp when position was closed';
+COMMENT ON COLUMN investment.agent_executions.updated_at IS 'Last modification timestamp';
+COMMENT ON COLUMN investment.agent_executions.error_code IS 'Standardized error code for failures';
+COMMENT ON COLUMN investment.agent_executions.notes IS 'Manual annotations or additional context';
+
+-- =====================================================
+-- VERIFICATION QUERY (for manual check)
+-- =====================================================
+-- SELECT column_name, data_type, is_nullable
+-- FROM information_schema.columns
+-- WHERE table_schema = 'investment'
+--   AND table_name = 'agent_executions'
+-- ORDER BY ordinal_position;

seeds/prod/education/02-course_tags.sql

@@ -0,0 +1,21 @@
+-- =====================================================
+-- SEED: Initial course tags
+-- =====================================================
+-- Proyecto: OrbiQuant IA (Trading Platform)
+-- Modulo: OQI-002 - Education
+-- Related: ST-3.1 - Course Tags System
+-- Created: 2026-02-03
+-- =====================================================
+
+INSERT INTO education.course_tags (name, slug, description, color, is_featured) VALUES
+('Forex', 'forex', 'Foreign exchange trading', '#10B981', true),
+('Crypto', 'crypto', 'Cryptocurrency trading', '#F59E0B', true),
+('Technical Analysis', 'technical-analysis', 'Chart patterns and indicators', '#3B82F6', true),
+('Fundamental Analysis', 'fundamental-analysis', 'Economic and financial analysis', '#8B5CF6', false),
+('Risk Management', 'risk-management', 'Position sizing and risk control', '#EF4444', true),
+('Psychology', 'psychology', 'Trading mindset and emotions', '#EC4899', false),
+('Beginner', 'beginner', 'Courses for new traders', '#6EE7B7', true),
+('Advanced', 'advanced', 'Advanced trading concepts', '#FCD34D', false),
+('ICT', 'ict', 'Inner Circle Trader concepts', '#818CF8', true),
+('Smart Money', 'smart-money', 'Institutional trading concepts', '#F472B6', false)
+ON CONFLICT (slug) DO NOTHING;