cf58d41444
- Add comprehensive session persistence with cookies, localStorage, and sessionStorage - Implement stealth browser features to reduce bot detection - Add smartLogin() method that prioritizes saved sessions over fresh logins - Create session management utilities (refresh, clear, test validity) - Update enhanced screenshot service to use session persistence - Add comprehensive documentation and test script - Support manual login fallback when captcha is encountered - Sessions stored in .tradingview-session/ directory for Docker compatibility This solves the captcha problem by avoiding repeated logins through persistent sessions.
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.