Inspiration
Investing has become increasingly accessible, but understanding the market remains difficult. Many beginner investors struggle with questions like:
"Why did this stock move?" "How do I create a strategy?" "Can I trust AI-generated investment advice?" "How can I learn without risking real money?"
At the same time, many AI-powered financial tools provide recommendations without explaining the reasoning behind them.
We wanted to build a platform that combines AI with transparency - helping users explore investment strategies, understand market signals, and learn through simulated trading before making real financial decisions.
What it does
AlphaAI is an AI-powered stock research and paper trading platform that acts as a personal AI hedge fund assistant.
Users can:
📈 Analyze stocks with AI
Users enter a stock ticker (ex: NVDA), and AlphaAI generates an explainable analysis:
market sentiment potential opportunities risk factors confidence score reasoning behind the recommendation 🧠 Generate AI trading strategies
Instead of requiring users to know quantitative finance, they can describe their goals naturally.
Example:
"Create a medium-risk strategy focused on AI companies."
AlphaAI generates a structured strategy including:
target stocks risk level trading rules reasoning 💰 Paper trade with fake money
Users can test strategies without financial risk.
They can:
buy/sell simulated stocks track portfolio performance view trade history evaluate whether their strategy works 🔍 Understand every AI decision
Every trade includes an explanation:
Example:
"AlphaAI recommended buying NVIDIA because of strong AI chip demand, positive momentum, and improving sentiment. Risks include high valuation and market volatility."
The goal is not just prediction — it is understanding.
⛓️ Verify strategies using Solana
AlphaAI creates a tamper-evident record of AI strategies by storing strategy fingerprints on Solana.
This allows users to verify that a strategy's history has not been secretly modified.
🤖 Predict the 6ix Trading Bot
The same AI strategy engine is adapted for prediction markets.
AlphaAI analyzes YES/NO markets and creates automated trading decisions for the Hack the 6ix prediction challenge.
How we built it
Frontend: React + Typescript Backend: Python + Flask
Challenges we ran into
AI Layer: Google Gemini API
Used for:
- generating investment strategies
- explaining stock analysis
- providing reasoning behind decisions
Data Layer: MongoDB Atlas
to store:
- users
- strategies
- trades
- portfolio history
- Authentication
Blockchain: Solana
to create verifiable strategy fingerprints and prevent historical manipulation.
Built With
- api
- atlas
- auth
- auth0
- blockchain
- database
- fastapi
- gemini
- mongodb
- react
- recharts
- recharts-|-|-backend-|-python
- solana
- tailwind-css
- typescript

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