feat: implement complete automation system with real trading connection

prisma/schema.prisma

@@ -8,15 +8,17 @@ datasource db {
 }
 
 model User {
-  id        String           @id @default(cuid())
-  email     String           @unique
-  name      String?
-  createdAt DateTime         @default(now())
-  updatedAt DateTime         @updatedAt
-  apiKeys   ApiKey[]
-  trades    Trade[]
-  journals  TradingJournal[]
-  settings  UserSettings?
+  id                String              @id @default(cuid())
+  email             String              @unique
+  name              String?
+  createdAt         DateTime            @default(now())
+  updatedAt         DateTime            @updatedAt
+  apiKeys           ApiKey[]
+  trades            Trade[]
+  journals          TradingJournal[]
+  settings          UserSettings?
+  automationSessions AutomationSession[]
+  aiLearningData    AILearningData[]
 
   @@map("users")
 }
@@ -44,6 +46,15 @@ model UserSettings {
   riskPercentage      Float    @default(2)
   maxDailyTrades      Int      @default(5)
   enableNotifications Boolean  @default(true)
+  // Automation settings
+  automationMode      String   @default("SIMULATION") // SIMULATION, LIVE
+  autoTimeframe       String   @default("1h")
+  autoSymbol          String   @default("SOLUSD")
+  autoTradingEnabled  Boolean  @default(false)
+  autoAnalysisEnabled Boolean  @default(false)
+  maxLeverage         Float    @default(3.0)
+  stopLossPercent     Float    @default(2.0)
+  takeProfitPercent   Float    @default(6.0)
   createdAt           DateTime @default(now())
   updatedAt           DateTime @updatedAt
   user                User     @relation(fields: [userId], references: [id], onDelete: Cascade)
@@ -64,6 +75,23 @@ model Trade {
   fees          Float?
   screenshotUrl String?
   aiAnalysis    String?
+  // Automation fields
+  isAutomated   Boolean   @default(false)
+  entryPrice    Float?
+  exitPrice     Float?
+  stopLoss      Float?
+  takeProfit    Float?
+  leverage      Float?
+  timeframe     String?
+  tradingMode   String?   // SIMULATION, LIVE
+  confidence    Float?
+  marketSentiment String?
+  // Learning fields
+  outcome       String?   // WIN, LOSS, BREAKEVEN
+  pnlPercent    Float?
+  actualRR      Float?    // Actual risk/reward ratio
+  executionTime DateTime?
+  learningData  Json?     // Store additional learning data
   createdAt     DateTime  @default(now())
   updatedAt     DateTime  @updatedAt
   executedAt    DateTime?
@@ -84,6 +112,20 @@ model TradingJournal {
   recommendation  String
   confidence      Float
   notes           String?
+  // Automation fields
+  isAutomated     Boolean  @default(false)
+  symbol          String?
+  timeframe       String?
+  tradingMode     String?  // SIMULATION, LIVE
+  tradeId         String?  // Link to actual trade if executed
+  outcome         String?  // WIN, LOSS, BREAKEVEN, PENDING
+  actualPrice     Float?   // Actual price when trade was executed
+  priceAtAnalysis Float?   // Price at time of analysis
+  // Learning fields  
+  accuracyScore   Float?   // How accurate the prediction was
+  executionDelay  Int?     // Minutes between analysis and execution
+  marketCondition String?  // TRENDING, RANGING, VOLATILE
+  sessionId       String?  // Link to automation session
   createdAt       DateTime @default(now())
   updatedAt       DateTime @updatedAt
   user            User     @relation(fields: [userId], references: [id], onDelete: Cascade)
@@ -112,3 +154,57 @@ model SystemLog {
 
   @@map("system_logs")
 }
+
+model AutomationSession {
+  id              String   @id @default(cuid())
+  userId          String
+  status          String   @default("ACTIVE") // ACTIVE, PAUSED, STOPPED
+  mode            String   @default("SIMULATION") // SIMULATION, LIVE
+  symbol          String
+  timeframe       String
+  totalTrades     Int      @default(0)
+  successfulTrades Int     @default(0)
+  failedTrades    Int      @default(0)
+  totalPnL        Float    @default(0)
+  totalPnLPercent Float    @default(0)
+  winRate         Float    @default(0)
+  avgRiskReward   Float    @default(0)
+  maxDrawdown     Float    @default(0)
+  startBalance    Float?
+  currentBalance  Float?
+  settings        Json?    // Store automation settings
+  lastAnalysis    DateTime?
+  lastTrade       DateTime?
+  nextScheduled   DateTime?
+  errorCount      Int      @default(0)
+  lastError       String?
+  createdAt       DateTime @default(now())
+  updatedAt       DateTime @updatedAt
+  user            User     @relation(fields: [userId], references: [id], onDelete: Cascade)
+
+  @@unique([userId, symbol, timeframe])
+  @@map("automation_sessions")
+}
+
+model AILearningData {
+  id                String   @id @default(cuid())
+  userId            String
+  sessionId         String?
+  tradeId           String?
+  analysisData      Json     // Store the AI analysis
+  marketConditions  Json     // Store market conditions at time of analysis
+  outcome           String?  // WIN, LOSS, BREAKEVEN
+  actualPrice       Float?
+  predictedPrice    Float?
+  confidenceScore   Float?
+  accuracyScore     Float?   // Calculated after outcome is known
+  timeframe         String
+  symbol            String
+  screenshot        String?  // Link to screenshot used for analysis
+  feedbackData      Json?    // Store feedback for learning
+  createdAt         DateTime @default(now())
+  updatedAt         DateTime @updatedAt
+  user              User     @relation(fields: [userId], references: [id], onDelete: Cascade)
+
+  @@map("ai_learning_data")
+}