rckrdmrd
45e77e9a9c
DDL schemas for Trading Platform: - User management - Authentication - Payments - Education - ML predictions - Trading data Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
69 lines
2.7 KiB
SQL
69 lines
2.7 KiB
SQL
-- =====================================================
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-- ML SCHEMA - PREDICTION OUTCOMES TABLE
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-- =====================================================
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-- Description: Actual outcomes vs predictions for model evaluation
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-- Schema: ml
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-- Author: Database Agent
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-- Date: 2025-12-06
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-- =====================================================
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CREATE TABLE ml.prediction_outcomes (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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-- Predicción asociada
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prediction_id UUID NOT NULL REFERENCES ml.predictions(id) ON DELETE CASCADE,
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-- Resultado real
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actual_result ml.prediction_result,
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actual_value DECIMAL(20,8),
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-- Evaluación
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outcome_status ml.outcome_status NOT NULL DEFAULT 'pending',
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is_correct BOOLEAN,
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-- Métricas de error
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absolute_error DECIMAL(20,8), -- |predicted - actual|
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relative_error DECIMAL(10,6), -- (predicted - actual) / actual
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-- Contexto de mercado en verificación
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actual_price DECIMAL(20,8),
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price_change_percent DECIMAL(10,6),
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-- Timing
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outcome_timestamp TIMESTAMPTZ NOT NULL, -- Cuando se verificó el outcome
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time_to_outcome_hours DECIMAL(10,2), -- Horas desde predicción hasta outcome
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-- Metadata
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outcome_metadata JSONB,
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created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
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-- Constraints
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CONSTRAINT unique_prediction_outcome UNIQUE(prediction_id)
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);
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-- Índices
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CREATE INDEX idx_outcomes_prediction ON ml.prediction_outcomes(prediction_id);
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CREATE INDEX idx_outcomes_status ON ml.prediction_outcomes(outcome_status);
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CREATE INDEX idx_outcomes_correct ON ml.prediction_outcomes(is_correct)
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WHERE is_correct IS NOT NULL;
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CREATE INDEX idx_outcomes_timestamp ON ml.prediction_outcomes(outcome_timestamp DESC);
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-- Comentarios
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COMMENT ON TABLE ml.prediction_outcomes IS 'Actual results for model predictions, used for performance tracking';
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COMMENT ON COLUMN ml.prediction_outcomes.actual_result IS 'What actually happened (buy/sell/hold/up/down/neutral)';
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COMMENT ON COLUMN ml.prediction_outcomes.actual_value IS 'Actual numeric value (e.g., actual price reached)';
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COMMENT ON COLUMN ml.prediction_outcomes.is_correct IS 'Whether prediction matched actual outcome';
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COMMENT ON COLUMN ml.prediction_outcomes.absolute_error IS 'Absolute difference between predicted and actual';
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COMMENT ON COLUMN ml.prediction_outcomes.relative_error IS 'Percentage error relative to actual value';
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COMMENT ON COLUMN ml.prediction_outcomes.time_to_outcome_hours IS 'Time elapsed from prediction to outcome verification';
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-- Ejemplo de outcome_metadata JSONB:
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COMMENT ON COLUMN ml.prediction_outcomes.outcome_metadata IS
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'Example: {
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"verification_method": "automated",
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"market_volatility": "high",
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"external_events": ["fed_announcement"],
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"notes": "Prediction incorrect due to unexpected news"
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}';
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