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.

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