TradeShala - AI-Powered Trading Assistant

TradeShala is a cutting-edge AI-powered trading assistant platform designed to help both novice and experienced traders make smarter, more informed decisions. It provides real-time market insights, personalized strategy guidance, and automated tools to optimize trading performance and reduce emotional decision-making.

Features

• AI Chatbot for Trading Guidance: Smart chatbot that answers trading-related queries and offers real-time support.
• Stock Recommendation System:
  • News Sentiment Analysis: Analyzes financial news and social media to assess market sentiment.
  • Technical Analysis: Evaluates price patterns and historical indicators to generate buy/sell signals.
• Personalized Trading Guide: Reviews a user's trading history to highlight recurring mistakes and provide tailored corrective feedback.
• Emotion-Control Mechanism: Monitors behavioral patterns like overtrading, early/late exits, and sends alerts to help reduce emotionally-driven decisions.
• AI-Powered Predictive Analysis: Forecasts market trends by detecting patterns in historical data.
• Smart Automated Trading Bots: Executes trades automatically based on real-time market conditions to reduce manual error.
• Personalized Investment Strategies: Offers adaptive portfolio strategies for optimized returns.
• Trust-Based Expert Strategy Validation: Evaluates strategies using paper trading to estimate success potential and build user trust.

Tech Stack

• Frontend: React.js, Tailwind CSS
• Backend: Node.js, Express.js
• Database: MongoDB
• Authentication: JWT
• AI/ML: Python
• Deployment: Vercel (Frontend), Render (Backend)

Installation

Prerequisites

Before you begin, make sure you have the following installed:

• Node.js (v20 or higher)
• MongoDB or a MongoDB Atlas account for the database
• Clerk Account for authentication and user management
• Git

Steps to Run Locally

1. Clone the repository:

   git clone https://github.com/rishvant/Trade-Shala
   cd Trade-Shala
   

2. Install Frontend Dependencies:

   cd client
   npm install
   

3. Install Backend Dependencies:

   cd server
   npm install
   

4. Set Up Environment Variables

5. Run Frontend Server:

   npm run dev
   

6. Run Backend Server:

   node server.js