- Add BlockedSignal table with 25 fields for comprehensive signal analysis - Track all blocked signals with metrics (ATR, ADX, RSI, volume, price position) - Store quality scores, block reasons, and detailed breakdowns - Include future fields for automated price analysis (priceAfter1/5/15/30Min) - Restore signalQualityVersion field to Trade table Database changes: - New table: BlockedSignal with indexes on symbol, createdAt, score, blockReason - Fixed schema drift from manual changes API changes: - Modified check-risk endpoint to save blocked signals automatically - Fixed hasContextMetrics variable scope (moved to line 209) - Save blocks for: quality score too low, cooldown period, hourly limit - Use config.minSignalQualityScore instead of hardcoded 60 Database helpers: - Added createBlockedSignal() function with try/catch safety - Added getRecentBlockedSignals(limit) for queries - Added getBlockedSignalsForAnalysis(olderThanMinutes) for automation Documentation: - Created BLOCKED_SIGNALS_TRACKING.md with SQL queries and analysis workflow - Created SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md with 5-phase plan - Documented data-first approach: collect 10-20 signals before optimization Rationale: Only 2 historical trades scored 60-64 (insufficient sample size for threshold decision). Building data collection infrastructure before making premature optimizations. Phase 1 (current): Collect blocked signals for 1-2 weeks Phase 2 (next): Analyze patterns and make data-driven threshold decision Phase 3-5 (future): Automation and ML optimization
223 lines
7.3 KiB
Plaintext
223 lines
7.3 KiB
Plaintext
// Prisma Schema for Trading Bot v4
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// Database: PostgreSQL
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generator client {
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provider = "prisma-client-js"
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}
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datasource db {
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provider = "postgresql"
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url = env("DATABASE_URL")
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}
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// Trade records for analysis and performance tracking
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model Trade {
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id String @id @default(cuid())
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createdAt DateTime @default(now())
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updatedAt DateTime @updatedAt
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// Trade identification
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positionId String @unique // Transaction signature from entry order
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symbol String // e.g., "SOL-PERP"
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direction String // "long" or "short"
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// Entry details
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entryPrice Float
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entryTime DateTime
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entrySlippage Float?
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positionSizeUSD Float // NOTIONAL position size (with leverage)
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collateralUSD Float? // ACTUAL margin/collateral used (positionSizeUSD / leverage)
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leverage Float
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// Exit targets (planned)
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stopLossPrice Float
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softStopPrice Float? // Dual stop: soft stop-limit trigger
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hardStopPrice Float? // Dual stop: hard stop-market trigger
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takeProfit1Price Float
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takeProfit2Price Float
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tp1SizePercent Float
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tp2SizePercent Float
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// Exit details (actual)
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exitPrice Float?
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exitTime DateTime?
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exitReason String? // "TP1", "TP2", "SL", "SOFT_SL", "HARD_SL", "manual", "emergency"
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// Performance metrics
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realizedPnL Float?
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realizedPnLPercent Float?
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holdTimeSeconds Int?
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maxDrawdown Float? // Peak to valley during trade
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maxGain Float? // Peak gain reached
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// MAE/MFE Analysis (Maximum Adverse/Favorable Excursion)
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maxFavorableExcursion Float? // Best profit % reached during trade
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maxAdverseExcursion Float? // Worst drawdown % during trade
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maxFavorablePrice Float? // Best price hit (direction-aware)
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maxAdversePrice Float? // Worst price hit (direction-aware)
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// Exit details - which levels actually filled
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tp1Filled Boolean @default(false)
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tp2Filled Boolean @default(false)
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softSlFilled Boolean @default(false)
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hardSlFilled Boolean @default(false)
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tp1FillPrice Float?
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tp2FillPrice Float?
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slFillPrice Float?
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// Timing metrics
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timeToTp1 Int? // Seconds from entry to TP1 fill
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timeToTp2 Int? // Seconds from entry to TP2 fill
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timeToSl Int? // Seconds from entry to SL hit
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// Market context at entry
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atrAtEntry Float? // ATR% when trade opened
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adxAtEntry Float? // ADX trend strength (0-50)
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rsiAtEntry Float? // RSI momentum (0-100)
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volumeAtEntry Float? // Volume relative to MA
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pricePositionAtEntry Float? // Price position in range (0-100%)
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signalQualityScore Int? // Calculated quality score (0-100)
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signalQualityVersion String? @default("v1") // Tracks which scoring logic was used
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fundingRateAtEntry Float? // Perp funding rate at entry
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basisAtEntry Float? // Perp-spot basis at entry
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// Slippage tracking
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expectedEntryPrice Float? // Target entry from signal
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entrySlippagePct Float? // Actual slippage %
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expectedExitPrice Float? // Which TP/SL should have hit
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exitSlippagePct Float? // Exit slippage %
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// Order signatures
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entryOrderTx String
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tp1OrderTx String?
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tp2OrderTx String?
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slOrderTx String?
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softStopOrderTx String? // Dual stop: soft stop tx
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hardStopOrderTx String? // Dual stop: hard stop tx
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exitOrderTx String?
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// Configuration snapshot
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configSnapshot Json // Store settings used for this trade
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// Signal data
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signalSource String? // "tradingview", "manual", etc.
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signalStrength String? // "strong", "moderate", "weak"
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timeframe String? // "5", "15", "60"
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// Status
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status String @default("open") // "open", "closed", "failed", "phantom"
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isTestTrade Boolean @default(false) // Flag test trades for exclusion from analytics
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// Phantom trade detection
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isPhantom Boolean @default(false) // Position opened but size mismatch >50%
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expectedSizeUSD Float? // Expected position size (when phantom)
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actualSizeUSD Float? // Actual position size from Drift (when phantom)
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phantomReason String? // "ORACLE_PRICE_MISMATCH", "PARTIAL_FILL", "ORDER_REJECTED"
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// Relations
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priceUpdates PriceUpdate[]
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@@index([symbol])
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@@index([createdAt])
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@@index([status])
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@@index([exitReason])
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}
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// Real-time price updates during trade (for analysis)
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model PriceUpdate {
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id String @id @default(cuid())
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createdAt DateTime @default(now())
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tradeId String
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trade Trade @relation(fields: [tradeId], references: [id], onDelete: Cascade)
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price Float
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pnl Float
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pnlPercent Float
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@@index([tradeId])
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@@index([createdAt])
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}
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// System events and errors
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model SystemEvent {
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id String @id @default(cuid())
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createdAt DateTime @default(now())
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eventType String // "error", "warning", "info", "trade_executed", etc.
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message String
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details Json?
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@@index([eventType])
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@@index([createdAt])
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}
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// Blocked signals for analysis (signals that didn't pass quality checks)
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model BlockedSignal {
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id String @id @default(cuid())
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createdAt DateTime @default(now())
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// Signal identification
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symbol String // e.g., "SOL-PERP"
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direction String // "long" or "short"
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timeframe String? // "5", "15", "60"
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// Price at signal time
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signalPrice Float // Price when signal was generated
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// Market metrics at signal time
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atr Float? // ATR% at signal
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adx Float? // ADX trend strength
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rsi Float? // RSI momentum
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volumeRatio Float? // Volume relative to average
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pricePosition Float? // Position in range (0-100%)
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// Quality scoring
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signalQualityScore Int // 0-100 score
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signalQualityVersion String? // Which scoring version
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scoreBreakdown Json? // Detailed breakdown of score components
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minScoreRequired Int // What threshold was used (e.g., 65)
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// Block reason
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blockReason String // "QUALITY_SCORE_TOO_LOW", "DUPLICATE", "COOLDOWN", etc.
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blockDetails String? // Human-readable details
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// For later analysis: track if it would have been profitable
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priceAfter1Min Float? // Price 1 minute after (filled by monitoring job)
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priceAfter5Min Float? // Price 5 minutes after
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priceAfter15Min Float? // Price 15 minutes after
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priceAfter30Min Float? // Price 30 minutes after
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wouldHitTP1 Boolean? // Would TP1 have been hit?
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wouldHitTP2 Boolean? // Would TP2 have been hit?
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wouldHitSL Boolean? // Would SL have been hit?
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analysisComplete Boolean @default(false) // Has post-analysis been done?
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@@index([symbol])
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@@index([createdAt])
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@@index([signalQualityScore])
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@@index([blockReason])
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}
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// Performance analytics (daily aggregates)
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model DailyStats {
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id String @id @default(cuid())
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date DateTime @unique
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tradesCount Int
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winningTrades Int
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losingTrades Int
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totalPnL Float
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totalPnLPercent Float
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winRate Float
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avgWin Float
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avgLoss Float
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profitFactor Float
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maxDrawdown Float
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sharpeRatio Float?
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createdAt DateTime @default(now())
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updatedAt DateTime @updatedAt
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@@index([date])
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}
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