Inspiration
Markets move in milliseconds, leaving ordinary investors behind. Over 80% of novice traders quit due to complexity and losses. We wanted to create a platform that empowers everyday investors with high-frequency, AI-powered trading tools previously only available to elite institutions.
What it does
Fortexa is a mobile app that uses advanced AI to analyze market data in real-time and execute trades in milliseconds. It provides instant, personalized buy/sell recommendations, automatically acts on tiny price changes, and simplifies the user experience through a clean, goal-driven dashboard.
How we built it
We built a functional mobile application integrating real-time market data processing, AI-driven decision-making models, and a simple trading interface. The backend algorithms continuously scan stock movements and news to enable high-frequency trades while adapting to each user’s personal goals and risk profile.
Challenges we ran into
- Designing AI models capable of real-time market analysis and execution at high speeds.
- Simplifying the complexity of high-frequency trading into a user-friendly mobile experience.
- Navigating regulatory requirements for financial trading platforms.
- Ensuring scalability for handling thousands of trades per second.
Accomplishments that we're proud of
- Developed a functional MVP with proven profitability ($1 profit per second in controlled environments).
- Successfully combined high-frequency trading tech with an easy-to-use mobile interface.
- Demonstrated market validation through clear trends in AI adoption among Millennial and Gen Z investors.
What we learned
- Speed and simplicity are key for mass-market adoption of trading technologies.
- AI can outperform human decision-making by removing emotional and cognitive biases.
- Regulatory compliance is crucial for scaling a fintech product globally.
- There’s a strong market appetite for intelligent, fast, and accessible trading platforms.
What's next for Fortexa
- Secure licenses in India and key international markets.
- Expand AI models to support crypto, forex, and ETF trading.
- Launch a public beta version after obtaining regulatory clearance.
- Form strategic partnerships with brokerage firms and financial institutions.
- Scale infrastructure to onboard millions of users and enhance real-time trading capabilities.
Built With
- nest
- node.js
- postgre
- python
- react
- redis
- restapi
- typescript
- websockets
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