Finance isn’t a subject commonly taught thoroughly in schools, yet it plays a crucial role in everyone’s lives. Many students grow up without exposure to financial concepts, making it challenging to navigate real-world financial decisions. This lack of financial knowledge can lead to overwhelming debt, poor savings habits, and financial stress.
We created traider to bridge this gap, providing an engaging, AI-powered learning experience for beginner investors to practice trading in a risk-free environment.
traider is an educational platform that offers:
- 📊 Mock Trading Simulations – Trade using real historical & current stock data from Yahoo Finance.
- 🤖 AI-Powered Trade Feedback – Get instantaneous insights on your trades using NVIDIA-powered AI.
- 📅 Custom Timeframe Selection – Choose any start date & duration to simulate historical market conditions.
- 📰 Market Event Insights – Scrape & synthesize relevant financial news to inform your trades.
- 🏆 Leaderboard & Gamification – Compete with others and track your trading performance.
- 📈 Financial Calculators & Data Visualizations – Understand market trends and improve decision-making.
Unlike traditional trading simulations, traider ensures a realistic experience by integrating up-to-date economic data with AI-driven insights.
- Next.js – React framework for a fast & scalable UI.
- Tailwind CSS – For seamless styling and responsiveness.
- ShadCN – UI library for interactive components.
- Figma & Canva – Design & prototyping tools.
- NVIDIA Cloud Compute – Running Llama 70B on a T4 GPU instance for AI analysis.
- FastAPI – High-performance backend framework.
- OpenAI – Instantaneous market insights and chatbot support.
- Google Search API – Scraping real-time financial news & market data.
- Yahoo Finance API – Fetching accurate stock data for trading simulations.
- Convex – Database for storing user data & transactions.
- Clerk – Secure authentication with Google sign-in.
- Finding an accurate LLM to provide real-time trade feedback.
- Designing an intuitive UI to display complex financial data without overwhelming users.
- Handling large-scale stock data efficiently while ensuring smooth user interactions.
- Integrating new technologies like Convex for backend storage.
- Managing real-time API requests while avoiding rate limits.
- Ensuring dynamic animations didn’t impact performance.
- Creating a logo and brand identity that encapsulated the product vision.
- Successfully integrated Llama 70B and NVIDIA Brev for personalized real-time AI feedback.
- Built a robust system to scrape, analyze, and summarize market news using Google Search API.
- Enabled users to trade using any historical stock data with an accurate financial dashboard.
- Designed an engaging & interactive homepage with dynamic animations.
- Developed a feature-rich trading simulator with real-time insights and visual analytics.
- Ensured a seamless UI/UX with a vibrant color palette, making finance fun & accessible for students.
- Successfully implemented a fully working product in just 36 hours with financial calculators, leaderboards, and AI-powered market insights.
- Scalable Backend Architecture – Handling large datasets efficiently.
- Real-Time Data Processing – Managing financial APIs and ensuring responsiveness.
- Financial Market Mechanics – Deepened our understanding of stock trading principles.
- Collaboration & Rapid Development – Iterating design choices for a user-centric product.
