🔥 OBLITERATE ALL MOCK DATA - System now uses 100% real data sources

- DESTROYED: AI analysis fake 5-second responses → Real TradingView screenshots (30-180s) - DESTROYED: Mock trading execution → Real Drift Protocol only - DESTROYED: Fake price data (44.11) → Live CoinGecko API (78.60) - DESTROYED: Mock balance/portfolio → Real Drift account data - DESTROYED: Fake screenshot capture → Real enhanced-screenshot service Live trading only - DESTROYED: Hardcoded market data → Real CoinGecko validation - DESTROYED: Mock chart generation → Real TradingView automation CRITICAL FIXES: AI analysis now takes proper time and analyzes real charts Bearish SOL (-0.74%) will now recommend SHORT positions correctly All trades execute on real Drift account Real-time price feeds from CoinGecko Actual technical analysis from live chart patterns Database reset with fresh AI learning (18k+ entries cleared) Trade confirmation system with ChatGPT integration NO MORE FAKE DATA - TRADING SYSTEM IS NOW REAL!
2025-07-30 19:10:25 +02:00
parent d39ddaff40
commit ab6c4fd861
19 changed files with 1177 additions and 328 deletions
--- a/app/api/trade-confirmation/route.js
+++ b/app/api/trade-confirmation/route.js
@@ -0,0 +1,138 @@
+import { NextResponse } from 'next/server';
+import OpenAI from 'openai';
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+export async function POST(request) {
+  try {
+    const { action, analysis, userInput, symbol, timeframe } = await request.json();
+    
+    console.log(`🤔 Trade confirmation request - ${action} for ${symbol}`);
+    
+    if (action === 'analyze') {
+      // Generate trade recommendation with detailed analysis
+      const systemPrompt = `You are an expert trading analyst. Analyze the provided technical data and give a clear trading recommendation.
+
+Rules:
+1. Be specific about entry, stop loss, and take profit levels
+2. Explain your reasoning clearly
+3. Rate your confidence (1-100)
+4. Suggest position size as % of account
+5. Identify key risks
+
+Format your response as:
+RECOMMENDATION: [LONG/SHORT/WAIT]
+CONFIDENCE: [1-100]%
+ENTRY: $[price]
+STOP LOSS: $[price] 
+TAKE PROFIT: $[price]
+POSITION SIZE: [1-10]% of account
+REASONING: [detailed explanation]
+RISKS: [key risks to consider]`;
+
+      const completion = await openai.chat.completions.create({
+        model: "gpt-4o-mini",
+        messages: [
+          { role: "system", content: systemPrompt },
+          { role: "user", content: `Symbol: ${symbol}\nTimeframe: ${timeframe}\nTechnical Analysis: ${JSON.stringify(analysis, null, 2)}` }
+        ],
+        max_tokens: 800,
+        temperature: 0.3
+      });
+
+      const recommendation = completion.choices[0].message.content;
+      
+      return NextResponse.json({
+        success: true,
+        recommendation,
+        analysis,
+        requiresConfirmation: true
+      });
+      
+    } else if (action === 'chat') {
+      // Chat with GPT about the trade
+      const completion = await openai.chat.completions.create({
+        model: "gpt-4o-mini",
+        messages: [
+          { 
+            role: "system", 
+            content: "You are a helpful trading assistant. Answer questions about trading analysis and help clarify trading decisions. Keep responses concise and actionable." 
+          },
+          { role: "user", content: userInput }
+        ],
+        max_tokens: 500,
+        temperature: 0.7
+      });
+
+      return NextResponse.json({
+        success: true,
+        response: completion.choices[0].message.content
+      });
+      
+    } else if (action === 'confirm') {
+      // Log the confirmation decision
+      console.log('✅ Trade confirmed by user');
+      return NextResponse.json({
+        success: true,
+        message: 'Trade confirmation recorded',
+        executeSignal: true
+      });
+      
+    } else if (action === 'abort') {
+      // Log the abort decision with reason
+      console.log(`❌ Trade aborted by user: ${userInput}`);
+      
+      // Store the abort reason for learning
+      try {
+        const { PrismaClient } = require('@prisma/client');
+        const prisma = new PrismaClient();
+        
+        await prisma.ai_learning_data.create({
+          data: {
+            id: `abort_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
+            userId: 'system-user',
+            sessionId: `abort-session-${Date.now()}`,
+            symbol,
+            timeframe,
+            analysisData: analysis || {},
+            marketConditions: {
+              userDecision: 'ABORT',
+              reason: userInput
+            },
+            outcome: 'USER_ABORTED',
+            confidenceScore: 0,
+            feedbackData: {
+              abortReason: userInput,
+              timestamp: new Date().toISOString()
+            },
+            createdAt: new Date()
+          }
+        });
+        
+        await prisma.$disconnect();
+      } catch (error) {
+        console.error('Error storing abort reason:', error);
+      }
+      
+      return NextResponse.json({
+        success: true,
+        message: 'Trade aborted and reason recorded',
+        executeSignal: false
+      });
+    }
+    
+    return NextResponse.json({
+      success: false,
+      error: 'Invalid action'
+    }, { status: 400 });
+    
+  } catch (error) {
+    console.error('Error in trade confirmation:', error);
+    return NextResponse.json({
+      success: false,
+      error: error.message
+    }, { status: 500 });
+  }
+}