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✅ Major Achievement: - Implemented comprehensive multi-screenshot AI analysis - Both AI and DIY layout screenshots analyzed simultaneously - Cross-layout comparison for enhanced trading decisions - Cost-optimized with GPT-4o mini (~0.6 cents per analysis) 🔧 Technical Implementation: - Added analyzeMultipleScreenshots() method to AIAnalysisService - Enhanced API to handle single vs multi-screenshot analysis - Updated UI to display layout comparison insights - Fixed deprecated gpt-4-vision-preview → gpt-4o-mini 🎯 AI Analysis Features: - Layout-specific insights (AI Layout vs DIY Module) - Consensus detection between different chart views - Divergence analysis for conflicting signals - Enhanced confidence scoring based on multi-layout agreement - Comprehensive trading setup with entry/stop/targets 💰 Cost Optimization: - Switched from GPT-4o (/usr/bin/bash.048/analysis) to GPT-4o mini (/usr/bin/bash.006/analysis) - 8x cost reduction while maintaining analysis quality - ~.80/month for 10 daily analyses 🖥️ Enhanced UI Components: - Multi-layout analysis display sections - Cross-layout consensus indicators - Layout comparison visualization - Enhanced trading setup presentation 📊 Test Results: - Both AI and DIY screenshots captured successfully - Multi-layout analysis working flawlessly - Comprehensive trading recommendations generated - Entry/stop/target levels provided with rationale Ready for production trading analysis! 🚀
Trading Bot v3
This project is a Next.js 15 App Router dashboard for automated trading, AI-powered analysis, and developer tools. It uses TypeScript, Tailwind CSS, Prisma, and provides API endpoints for trading, analysis, and automation.
Features
- Modern Next.js 15 App Router architecture
- TypeScript, Tailwind CSS, ESLint, Turbopack
- API routes for trading, analysis, screenshots, and automation
- Ready for integration with Prisma, OpenAI, TradingView, and Solana/Drift
Getting Started
- Install dependencies:
npm install - Run the development server:
npm run dev - Open http://localhost:3000 in your browser.
Customization
- Add your business logic, UI components, and database schema as needed.
- See
.github/copilot-instructions.mdfor Copilot guidance.
This project is ready for migration of your trading bot logic and UI from v2.