🧠 Inspiration As a student, developer, and aspiring entrepreneur, I noticed how overwhelming forex trading can be for beginners. The complexity of real-time data, technical indicators, and market fluctuations often discourages new traders. We wanted to build something that educates, assists, and empowers anyone — especially students and small investors — to confidently navigate the forex space.
🛠️ What We Built ForexBot is an AI-powered forex strategy assistant that:
Provides simplified explanations of market trends using GenAI (Claude via Amazon Bedrock)
Simulates trading strategies using historical data and user-defined parameters
Offers real-time insights and learning through an intuitive, web-based interface
Is deployed on AWS cloud using services like EC2, S3, IAM, and CloudWatch
🔧 How We Built It Backend: Python, Django, Django REST Framework
Frontend: HTML, CSS, and JavaScript
GenAI Integration: Amazon Bedrock (Claude model) for natural language insights
Cloud Hosting: AWS EC2 for the application, S3 for static assets, IAM for access control
Database: SQLite (for now), with plans to integrate RDS or DynamoDB
Monitoring: AWS CloudWatch for logging
💡 What We Learned How to integrate AWS services into a Django-based web app
The potential of Claude (via Amazon Bedrock) for generating smart, explainable financial insights
How to design a user-friendly platform for non-technical users
Managing cloud costs, performance optimization, and responsible AI usage
🚧 Challenges Faced Limited funding for infrastructure (solved by AWS credits — thank you!)
Integrating GenAI in a way that remains simple and helpful for beginners
Designing a balanced system between real-time data, education, and simulation
Adapting Django for scalable cloud deployment with AWS
🚀 The Journey Continues We’re continuing to improve ForexBot with more features — including predictive analytics, multi-user support, and advanced simulations. We believe in using AI to democratize financial knowledge and create tools that make complex systems accessible to everyone.
Built With
- amazon-web-services
- css
- django
- djangorestapi
- html5
- javascript
- python
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