4780367e79
Added missing 1.04 WIN and -/bin/bash.14 LOSS trades to database AI Learning System now shows 3 trades: 67% win rate, 7.03 P&L Created emergency risk management tools for unprotected positions Current SHORT position needs manual stop-loss/take-profit orders Summary: All 3 trades now visible in AI Learning dashboard Risk: Current SHORT (+.45) needs protection at 95.59 stop-loss
105 lines
3.4 KiB
JavaScript
105 lines
3.4 KiB
JavaScript
const { PrismaClient } = require('@prisma/client');
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const prisma = new PrismaClient();
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async function addMissingTrades() {
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try {
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console.log('📝 Adding missing trades based on user screenshots...');
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// Trade 1: $11.04 profit (1 hour ago) - SHORT position
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const trade1Id = `manual_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
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const oneHourAgo = new Date(Date.now() - 60 * 60 * 1000);
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const fiftyMinutesAgo = new Date(Date.now() - 50 * 60 * 1000);
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await prisma.trades.create({
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data: {
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id: trade1Id,
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userId: 'default-user',
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symbol: 'SOLUSD',
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side: 'SHORT',
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amount: 5.5,
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price: 187.053,
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entryPrice: 187.053,
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exitPrice: 185.0,
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profit: 11.04,
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outcome: 'WIN',
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status: 'COMPLETED',
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leverage: 1,
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confidence: 75,
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createdAt: oneHourAgo,
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closedAt: fiftyMinutesAgo,
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driftTxId: `DRIFT_${trade1Id}`,
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tradingMode: 'PERP'
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}
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});
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console.log('✅ Added $11.04 WIN trade (SHORT)');
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// Trade 2: -$0.14 loss (30 minutes ago) - SHORT position
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const trade2Id = `manual_${Date.now() + 1}_${Math.random().toString(36).substr(2, 9)}`;
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const thirtyMinutesAgo = new Date(Date.now() - 30 * 60 * 1000);
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const twentyMinutesAgo = new Date(Date.now() - 20 * 60 * 1000);
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await prisma.trades.create({
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data: {
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id: trade2Id,
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userId: 'default-user',
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symbol: 'SOLUSD',
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side: 'SHORT',
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amount: 5.5,
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price: 184.814,
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entryPrice: 184.814,
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exitPrice: 184.795,
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profit: -0.14,
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outcome: 'LOSS',
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status: 'COMPLETED',
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leverage: 1,
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confidence: 75,
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createdAt: thirtyMinutesAgo,
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closedAt: twentyMinutesAgo,
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driftTxId: `DRIFT_${trade2Id}`,
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tradingMode: 'PERP'
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}
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});
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console.log('✅ Added -$0.14 LOSS trade (SHORT)');
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// Now get updated statistics
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const allTrades = await prisma.trades.findMany({
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where: {
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status: 'COMPLETED',
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profit: { not: null },
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outcome: { not: null },
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// Filter out simulations
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driftTxId: { not: { startsWith: 'SIM_' } },
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tradingMode: { not: 'SIMULATION' }
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},
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orderBy: { closedAt: 'desc' }
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});
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console.log(`📊 Total real completed trades: ${allTrades.length}`);
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const totalPnL = allTrades.reduce((sum, trade) => sum + (trade.profit || 0), 0);
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const wins = allTrades.filter(t => (t.profit || 0) > 0).length;
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const losses = allTrades.filter(t => (t.profit || 0) < 0).length;
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const winRate = allTrades.length > 0 ? (wins / allTrades.length * 100) : 0;
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console.log('📈 Updated Statistics:');
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console.log(` Total Trades: ${allTrades.length}`);
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console.log(` Wins: ${wins}`);
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console.log(` Losses: ${losses}`);
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console.log(` Win Rate: ${winRate.toFixed(1)}%`);
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console.log(` Total P&L: $${totalPnL.toFixed(2)}`);
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allTrades.forEach(trade => {
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console.log(` 📊 ${trade.side} - P&L: $${trade.profit?.toFixed(2)} - ${trade.outcome} - ${trade.closedAt?.toISOString()}`);
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});
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console.log('✅ Missing trades successfully added to database');
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} catch (error) {
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console.error('❌ Error adding missing trades:', error);
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} finally {
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await prisma.$disconnect();
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}
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}
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addMissingTrades();
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