Files
trading_bot_v4/prisma/schema.prisma
mindesbunister d64f6d84c4 feat: implement dual stop system and database tracking
- Add PostgreSQL database with Prisma ORM
  - Trade model: tracks entry/exit, P&L, order signatures, config snapshots
  - PriceUpdate model: tracks price movements for drawdown analysis
  - SystemEvent model: logs errors and system events
  - DailyStats model: aggregated performance metrics

- Implement dual stop loss system (enabled by default)
  - Soft stop (TRIGGER_LIMIT) at -1.5% to avoid wicks
  - Hard stop (TRIGGER_MARKET) at -2.5% to guarantee exit
  - Configurable via USE_DUAL_STOPS, SOFT_STOP_PERCENT, HARD_STOP_PERCENT
  - Backward compatible with single stop modes

- Add database service layer (lib/database/trades.ts)
  - createTrade(): save new trades with all details
  - updateTradeExit(): close trades with P&L calculations
  - addPriceUpdate(): track price movements during trade
  - getTradeStats(): calculate win rate, profit factor, avg win/loss
  - logSystemEvent(): log errors and system events

- Update execute endpoint to use dual stops and save to database
  - Calculate dual stop prices when enabled
  - Pass dual stop parameters to placeExitOrders
  - Save complete trade record to database after execution

- Add test trade button to settings page
  - New /api/trading/test endpoint for executing test trades
  - Displays detailed results including dual stop prices
  - Confirmation dialog before execution
  - Shows entry price, position size, stops, and TX signature

- Generate Prisma client in Docker build
- Update DATABASE_URL for container networking
2025-10-26 21:29:27 +01:00

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// Prisma Schema for Trading Bot v4
// Database: PostgreSQL
generator client {
provider = "prisma-client-js"
}
datasource db {
provider = "postgresql"
url = env("DATABASE_URL")
}
// Trade records for analysis and performance tracking
model Trade {
id String @id @default(cuid())
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
// Trade identification
positionId String @unique // Transaction signature from entry order
symbol String // e.g., "SOL-PERP"
direction String // "long" or "short"
// Entry details
entryPrice Float
entryTime DateTime
entrySlippage Float?
positionSizeUSD Float
leverage Float
// Exit targets (planned)
stopLossPrice Float
softStopPrice Float? // Dual stop: soft stop-limit trigger
hardStopPrice Float? // Dual stop: hard stop-market trigger
takeProfit1Price Float
takeProfit2Price Float
tp1SizePercent Float
tp2SizePercent Float
// Exit details (actual)
exitPrice Float?
exitTime DateTime?
exitReason String? // "TP1", "TP2", "SL", "SOFT_SL", "HARD_SL", "manual", "emergency"
// Performance metrics
realizedPnL Float?
realizedPnLPercent Float?
holdTimeSeconds Int?
maxDrawdown Float? // Peak to valley during trade
maxGain Float? // Peak gain reached
// Order signatures
entryOrderTx String
tp1OrderTx String?
tp2OrderTx String?
slOrderTx String?
softStopOrderTx String? // Dual stop: soft stop tx
hardStopOrderTx String? // Dual stop: hard stop tx
exitOrderTx String?
// Configuration snapshot
configSnapshot Json // Store settings used for this trade
// Signal data
signalSource String? // "tradingview", "manual", etc.
signalStrength String? // "strong", "moderate", "weak"
timeframe String? // "5", "15", "60"
// Status
status String @default("open") // "open", "closed", "failed"
// Relations
priceUpdates PriceUpdate[]
@@index([symbol])
@@index([createdAt])
@@index([status])
@@index([exitReason])
}
// Real-time price updates during trade (for analysis)
model PriceUpdate {
id String @id @default(cuid())
createdAt DateTime @default(now())
tradeId String
trade Trade @relation(fields: [tradeId], references: [id], onDelete: Cascade)
price Float
pnl Float
pnlPercent Float
@@index([tradeId])
@@index([createdAt])
}
// System events and errors
model SystemEvent {
id String @id @default(cuid())
createdAt DateTime @default(now())
eventType String // "error", "warning", "info", "trade_executed", etc.
message String
details Json?
@@index([eventType])
@@index([createdAt])
}
// Performance analytics (daily aggregates)
model DailyStats {
id String @id @default(cuid())
date DateTime @unique
tradesCount Int
winningTrades Int
losingTrades Int
totalPnL Float
totalPnLPercent Float
winRate Float
avgWin Float
avgLoss Float
profitFactor Float
maxDrawdown Float
sharpeRatio Float?
createdAt DateTime @default(now())
updatedAt DateTime @updatedAt
@@index([date])
}