chemavxandClaude Fable 5
919fe1617a
The signals and markets tables existed since Phase 2/5 but never had a writer; the replay engine (phase plan line 2.1) needs a per-(market, cycle) archive of what the strategy saw and decided. This wires them up: - signals: one row per evaluated market per cycle, now carrying INPUTS (news_sentiment, feat_*_lo, volume_24h, days_to_resolution) plus the existing outputs (probs, edges, gates, skip_reason). skip_reason is granular: unsupported/no_signals/prior_extreme/family/edge_net/ confidence/reentry_guard. news_budget_skipped distinguishes "GNews not asked" (5-query budget) from "no news". - ext_snapshots: one row per cycle with the ExternalSignals snapshot; signals rows join on cycle_ts. - markets: metadata upserted each cycle (replay rebuilds Market from it). - Retention: prune > SIGNALS_RETENTION_DAYS (default 90) once a day. - SIGNAL_RECORDER_ENABLED (default true) gates all DB writes; every write is try/except — the recorder can never break trading. Strategy changes are purely additive (record accumulation at each exit path of evaluate()); no weights, thresholds, gates or sizing touched, per the freeze in the current phase plan. Tests: 10 new deterministic tests (85 total passing). Schema migration dry-run validated against prod postgres inside a rolled-back transaction. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
373 lines
24 KiB
SQL
373 lines
24 KiB
SQL
-- Polymarket Bot Database Schema
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CREATE TABLE IF NOT EXISTS trades (
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id TEXT PRIMARY KEY,
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market_id TEXT NOT NULL,
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question TEXT NOT NULL,
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direction TEXT NOT NULL, -- BUY_YES | BUY_NO
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size_usdc DOUBLE PRECISION,
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entry_price DOUBLE PRECISION,
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shares DOUBLE PRECISION,
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fee_usdc DOUBLE PRECISION,
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net_cost DOUBLE PRECISION,
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timestamp TIMESTAMPTZ NOT NULL,
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reasoning TEXT,
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paper BOOLEAN DEFAULT TRUE
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);
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CREATE TABLE IF NOT EXISTS metrics_daily (
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id SERIAL PRIMARY KEY,
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timestamp TIMESTAMPTZ NOT NULL,
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total_trades INTEGER,
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total_deployed DOUBLE PRECISION,
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total_fees DOUBLE PRECISION,
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total_pnl DOUBLE PRECISION,
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win_rate DOUBLE PRECISION,
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avg_edge DOUBLE PRECISION,
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sharpe_ratio DOUBLE PRECISION,
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calibration_score DOUBLE PRECISION,
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paper_mode BOOLEAN DEFAULT TRUE
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);
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CREATE TABLE IF NOT EXISTS markets (
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id TEXT PRIMARY KEY,
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condition_id TEXT,
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question TEXT NOT NULL,
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category TEXT,
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end_date TEXT,
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active BOOLEAN DEFAULT TRUE,
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last_seen TIMESTAMPTZ DEFAULT NOW()
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);
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CREATE TABLE IF NOT EXISTS signals (
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id SERIAL PRIMARY KEY,
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market_id TEXT NOT NULL,
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timestamp TIMESTAMPTZ NOT NULL,
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polymarket_price DOUBLE PRECISION,
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estimated_prob DOUBLE PRECISION,
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edge DOUBLE PRECISION,
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confidence DOUBLE PRECISION,
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direction TEXT,
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acted_on BOOLEAN DEFAULT FALSE
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);
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CREATE INDEX IF NOT EXISTS idx_trades_timestamp ON trades(timestamp DESC);
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CREATE INDEX IF NOT EXISTS idx_trades_market ON trades(market_id);
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CREATE INDEX IF NOT EXISTS idx_metrics_timestamp ON metrics_daily(timestamp DESC);
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CREATE INDEX IF NOT EXISTS idx_signals_timestamp ON signals(timestamp DESC);
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Phase 1 migrations: edge neto real
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--
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-- spread_estimate and commission are HEURISTICS, not exact Polymarket exchange
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-- costs. spread_estimate ≈ estimated half-spread for medium-liquidity markets.
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-- commission = COMMISSION_RATE (0.02) * size_usdc — mirrors Polymarket taker fee.
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-- edge_net = edge_gross - spread_estimate - commission/size_usdc
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-- = edge_gross - 0.02 - 0.02 (always 0.04 deduction at current rates)
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--
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-- These are stored per-trade so we can audit whether the model's cost assumptions
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-- were met in practice once markets resolve.
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS edge_gross DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS edge_net DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS prior_prob DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS final_prob DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mid_price DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS spread_estimate DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS commission DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS family_key TEXT;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Phase 2 / Phase 5 migrations: market families + observability
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--
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-- Signals table extended so each evaluated market carries its audit trail:
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-- skip_reason — why the market was not traded ("edge_net", "family",
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-- "gnews_priority", "regime", "prior_extreme", etc.)
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-- passed_gross — True if edge_gross alone met regime_min_edge
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-- passed_net — True if edge_net met regime_min_edge (the actual gate)
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-- family_key — market family slug (e.g. "texas-republican-2026")
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-- regime_min_edge — threshold that applied to this market/category
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS edge_gross DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS edge_net DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS family_key TEXT;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS regime_min_edge DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS skip_reason TEXT;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS passed_gross BOOLEAN;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS passed_net BOOLEAN;
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CREATE INDEX IF NOT EXISTS idx_signals_market ON signals(market_id);
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CREATE INDEX IF NOT EXISTS idx_trades_family ON trades(family_key);
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Position lifecycle: legacy scan can close erroneous paper positions.
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-- closed_at IS NULL → position is open (all open-position queries filter this).
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-- closed_at NOT NULL → position closed; close_reason explains why.
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS closed_at TIMESTAMPTZ;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS close_reason TEXT;
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CREATE INDEX IF NOT EXISTS idx_trades_closed ON trades(closed_at) WHERE closed_at IS NOT NULL;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Fix 3: market resolution and realized P&L per trade
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--
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-- resolution: 1.0 if YES resolved, 0.0 if NO resolved, NULL if not yet settled.
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-- close_pnl: realized P&L in USDC at close time — NET of fee (payout − net_cost),
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-- the same definition PaperExecutor.close_position() reports in logs/Telegram.
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-- BUY_YES: resolution * shares - net_cost
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-- BUY_NO: (1 - resolution) * shares - net_cost
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-- NULL if closed without a known resolution (legacy closes, inversion fixes).
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS close_pnl DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS resolution DOUBLE PRECISION;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Phase 6: per-feature signal attribution — all values in log-odds space
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--
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-- All four primary features share a common unit (log-odds contribution to
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-- the posterior estimate) so they can be compared directly:
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--
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-- feat_fg_lo = _fg_contribution × 2
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-- Fear & Greed direction-adjusted delta, ×2 to log-odds.
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-- Non-zero for every trade. Range ≈ ±0.12.
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-- Materiality threshold: |lo| ≥ 0.05.
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--
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-- feat_mom_lo = _momentum_contribution × 2
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-- Momentum delta (direction-adjusted), ×2 to log-odds.
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-- Zero when |btc_change_24h| ≤ 2 %. Range ≈ ±0.15.
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-- Materiality threshold: |lo| ≥ 0.05.
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--
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-- feat_news_lo = news_log_adj (already in log-odds, no scaling)
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-- GNews sentiment × NEWS_LOGODDS_WEIGHT (1.5).
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-- Zero for non-politics or when GNews budget exhausted.
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-- Range ≈ ±1.5. Materiality threshold: |lo| ≥ 0.10.
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--
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-- feat_mfld_lo = manifold_log_adj (already in log-odds, no scaling)
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-- Manifold divergence × MANIFOLD_LOGODDS_WEIGHT (0.6).
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-- Zero when Manifold returned no result.
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-- Range ≈ ±0.6. Materiality threshold: |lo| ≥ 0.10.
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--
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-- feat_btc_dom_lo = _btc_dom_contribution × 2
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-- BTC-dominance alt-pressure delta, ×2 to log-odds.
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-- Only fires for ETH / altcoin / general-crypto markets
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-- when btc_dominance > 55 % or < 45 %.
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-- Values: { −0.06, 0.0, +0.06 }.
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-- Materiality threshold: |lo| ≥ 0.05.
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--
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-- NULL for pre-Phase-6 trades. Backfilled at startup via
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-- Database.backfill_feature_columns() using reasoning-string regex
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-- (fg_lo/mom_lo multiplied by 2 from raw; news_lo/mfld_lo taken directly;
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-- btc_dom_lo cannot be backfilled and remains NULL for legacy trades).
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS feat_fg_lo DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS feat_mom_lo DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS feat_news_lo DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS feat_mfld_lo DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS feat_btc_dom_lo DOUBLE PRECISION;
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CREATE INDEX IF NOT EXISTS idx_trades_feat_fg ON trades(feat_fg_lo) WHERE feat_fg_lo IS NOT NULL;
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CREATE INDEX IF NOT EXISTS idx_trades_feat_mfld ON trades(feat_mfld_lo) WHERE feat_mfld_lo IS NOT NULL;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Manifold match audit — per-trade columns in trades
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--
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-- Persisted for every trade where Manifold was queried (status='accepted').
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-- mfld_match_status: 'accepted' | 'rejected' | 'no_results'
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-- mfld_inverted: TRUE when prob_final = 1 - prob_raw (party complement match)
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_market_id TEXT;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_market_title TEXT;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_market_url TEXT;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_prob_raw DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_prob_final DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_inverted BOOLEAN;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_match_score DOUBLE PRECISION;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_match_reason TEXT;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS mfld_match_status TEXT;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Manifold match audit table — records every Manifold query attempt
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--
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-- Populated for ALL queries: accepted, rejected, and no_results.
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-- used_in_trade=TRUE is set after executor confirms a trade was executed.
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-- poly_market_id: Market.id from the Polymarket Market dataclass (never NULL).
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-- ─────────────────────────────────────────────────────────────────────────────
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CREATE TABLE IF NOT EXISTS manifold_match_audit (
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id TEXT PRIMARY KEY,
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timestamp TIMESTAMPTZ DEFAULT NOW(),
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poly_market_id TEXT NOT NULL,
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poly_question TEXT NOT NULL,
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search_query TEXT,
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mfld_market_id TEXT,
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mfld_market_title TEXT,
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mfld_market_url TEXT,
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prob_raw DOUBLE PRECISION,
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prob_final DOUBLE PRECISION,
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inverted BOOLEAN DEFAULT FALSE,
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match_score DOUBLE PRECISION,
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match_reason TEXT,
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match_status TEXT NOT NULL,
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used_in_trade BOOLEAN DEFAULT FALSE,
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poly_outcome_type TEXT,
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mfld_outcome_type TEXT
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);
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CREATE INDEX IF NOT EXISTS idx_mfld_audit_timestamp ON manifold_match_audit(timestamp DESC);
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CREATE INDEX IF NOT EXISTS idx_mfld_audit_status ON manifold_match_audit(match_status);
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CREATE INDEX IF NOT EXISTS idx_mfld_audit_poly_mkt ON manifold_match_audit(poly_market_id);
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-- Backfill outcome-type columns on pre-existing tables (idempotent).
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ALTER TABLE manifold_match_audit ADD COLUMN IF NOT EXISTS poly_outcome_type TEXT;
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ALTER TABLE manifold_match_audit ADD COLUMN IF NOT EXISTS mfld_outcome_type TEXT;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Matcher versioning — separate current-matcher metrics from legacy records
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--
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-- matcher_version tags each audit row with the matcher that produced it
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-- (MANIFOLD_MATCHER_VERSION in bot/data/manifold.py). This lets the metrics
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-- endpoint isolate current_version stats from pre-versioning records, whose
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-- accepted matches would now be rejected by the outcome-compatibility guard.
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--
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-- Backfill is one-shot and idempotent (only touches NULL matcher_version rows):
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-- * rows with no outcome types → 'legacy_pre_outcome_guard' (pre outcome-guard;
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-- accepted without any outcome-type validation)
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-- * rows with an outcome type → 'v2_outcome_guard_no_version' (existed between
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-- the outcome-guard and this versioning; real version not persisted)
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-- We tag rather than infer the exact version that wasn't recorded.
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE manifold_match_audit ADD COLUMN IF NOT EXISTS matcher_version TEXT;
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UPDATE manifold_match_audit
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SET matcher_version = 'legacy_pre_outcome_guard'
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WHERE matcher_version IS NULL
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AND poly_outcome_type IS NULL
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AND mfld_outcome_type IS NULL;
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UPDATE manifold_match_audit
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SET matcher_version = 'v2_outcome_guard_no_version'
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WHERE matcher_version IS NULL
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AND (poly_outcome_type IS NOT NULL OR mfld_outcome_type IS NOT NULL);
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CREATE INDEX IF NOT EXISTS idx_mfld_audit_version ON manifold_match_audit(matcher_version);
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Metric exclusion — administrative closure flag
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--
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-- excluded_from_metrics: TRUE for trades closed for non-signal reasons
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-- (bad matcher, data error, admin close). These trades are excluded from
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-- win_rate, calibration_score, realized_pnl, and feature attribution.
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-- exclusion_reason: free-text label for the exclusion cause.
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-- e.g. 'invalid_manifold_match_legacy'
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS excluded_from_metrics BOOLEAN DEFAULT FALSE;
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ALTER TABLE trades ADD COLUMN IF NOT EXISTS exclusion_reason TEXT;
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CREATE INDEX IF NOT EXISTS idx_trades_excluded ON trades(excluded_from_metrics)
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WHERE excluded_from_metrics = TRUE;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Fix 3: extended metrics_daily columns for DB-computed metrics
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--
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-- unrealized_pnl_est: SUM(edge_net * net_cost - fee) on open trades with edge_net.
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-- Estimated — uses model's own edge signal, not live market price.
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-- realized_pnl: SUM(close_pnl) on closed trades with a known resolution.
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-- Exact — derived from actual market outcome.
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-- open_count / closed_count / resolved_count: trade counts at snapshot time.
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE metrics_daily ADD COLUMN IF NOT EXISTS unrealized_pnl_est DOUBLE PRECISION;
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ALTER TABLE metrics_daily ADD COLUMN IF NOT EXISTS realized_pnl DOUBLE PRECISION;
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ALTER TABLE metrics_daily ADD COLUMN IF NOT EXISTS open_count INTEGER;
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ALTER TABLE metrics_daily ADD COLUMN IF NOT EXISTS closed_count INTEGER;
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ALTER TABLE metrics_daily ADD COLUMN IF NOT EXISTS resolved_count INTEGER;
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Checkpoint alerts — one-shot and rate-limited Telegram observation alerts
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--
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-- fired_at: timestamp of the first fire (immutable for one-shot checkpoints)
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-- last_fired_at: updated on every fire (used for rate-limiting repeatable alerts)
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-- ─────────────────────────────────────────────────────────────────────────────
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CREATE TABLE IF NOT EXISTS checkpoint_alerts (
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checkpoint_name TEXT PRIMARY KEY,
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fired_at TIMESTAMPTZ NOT NULL,
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last_fired_at TIMESTAMPTZ
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);
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Manifold evaluation cooldown — per-market backoff for the Manifold matcher
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--
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-- The trading loop re-evaluates the same ~stable set of politics/tech markets
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-- every cycle (~60s). Most resolve to a stable terminal verdict (no Manifold
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-- coverage, low-score, outcome mismatch, conditional market) that will not change
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-- on the next cycle. Re-querying them every minute floods manifold_match_audit
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-- with redundant rows and makes the metrics uninterpretable.
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--
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-- This table records, per poly_market_id, when the market was last evaluated and
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-- the earliest time it should be evaluated again (retry_after). evaluate() in
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-- bot/strategy/bayesian.py consults it BEFORE calling the matcher and skips the
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-- call (and the audit write) entirely while now() < retry_after.
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--
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-- last_status / cooldown_reason are stored for observability only.
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-- ─────────────────────────────────────────────────────────────────────────────
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CREATE TABLE IF NOT EXISTS manifold_eval_cooldown (
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poly_market_id TEXT PRIMARY KEY,
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last_evaluated_at TIMESTAMPTZ NOT NULL,
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last_status TEXT NOT NULL,
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retry_after TIMESTAMPTZ NOT NULL,
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cooldown_reason TEXT
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);
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CREATE INDEX IF NOT EXISTS idx_mfld_cooldown_retry ON manifold_eval_cooldown(retry_after);
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-- ─────────────────────────────────────────────────────────────────────────────
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-- Replay R0: snapshot recorder — the archive the replay engine reads from
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--
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-- The signals table (Phase 2/5 schema) never had a writer; R0 makes it the
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-- per-(market, cycle) decision archive. One row per evaluated market per
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-- cycle, carrying both the INPUTS the strategy saw (external signals, news
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-- sentiment, per-feature log-odds) and the OUTPUTS it produced (probs, edges,
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-- gates, skip_reason). A replay run rebuilds Market/ExternalSignals from
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-- these rows plus ext_snapshots and re-executes evaluate() deterministically.
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--
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-- cycle_ts groups all rows of one trading cycle and joins them to their
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-- ext_snapshots row (same timestamp; no FK to keep writes independent).
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-- days_to_resolution is persisted so replay does not depend on wall-clock.
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-- news_budget_skipped distinguishes "GNews had nothing" from "GNews was not
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-- asked this cycle" (5-query budget) — without it politics replay would treat
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-- budget starvation as absence of news.
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-- Retention: rows older than SIGNALS_RETENTION_DAYS (default 90) are pruned.
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-- ─────────────────────────────────────────────────────────────────────────────
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS cycle_ts TIMESTAMPTZ;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS category TEXT;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS prior_prob DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS raw_final_prob DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS days_to_resolution INTEGER;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS volume_24h DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS news_sentiment DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS news_budget_skipped BOOLEAN;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS guardrail_applied BOOLEAN;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS guardrail_changed_decision BOOLEAN;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS feat_fg_lo DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS feat_mom_lo DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS feat_news_lo DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS feat_mfld_lo DOUBLE PRECISION;
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ALTER TABLE signals ADD COLUMN IF NOT EXISTS feat_btc_dom_lo DOUBLE PRECISION;
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CREATE INDEX IF NOT EXISTS idx_signals_cycle ON signals(cycle_ts);
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-- One row per trading cycle: the ExternalSignals snapshot every market in
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-- that cycle was evaluated against. Written once per cycle before the
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-- evaluation loop; signals rows join on cycle_ts.
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CREATE TABLE IF NOT EXISTS ext_snapshots (
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cycle_ts TIMESTAMPTZ PRIMARY KEY,
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btc_price DOUBLE PRECISION,
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btc_change_24h DOUBLE PRECISION,
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eth_price DOUBLE PRECISION,
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eth_change_24h DOUBLE PRECISION,
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btc_dominance DOUBLE PRECISION,
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fear_greed_index INTEGER,
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||
fear_greed_label TEXT,
|
||
total_market_cap_change DOUBLE PRECISION,
|
||
valid BOOLEAN
|
||
);
|