Inspiration

What it does

🐺 Wolf – The Street Talks, You Answer

📌 About the Project

Wolf is a retro-themed, voice-powered paper trading platform that simulates the experience of talking to a 1980s Wall Street stockbroker. Instead of using a mouse or tapping your screen, you receive daily phone calls from your AI broker. It tells you what’s happening in the market, suggests trades, and you respond — using just your voice.

The goal? Make trading accessible, intuitive, and entertaining — especially for beginners — by bringing back the human element of market interaction.

💡 Inspiration

We were inspired by the charisma and intensity of The Wolf of Wall Street. In the age of slick trading apps and bots, we felt something was missing — personality. We wanted to reimagine what a trading platform could be if it brought back the raw, unfiltered energy of a human broker… but powered by AI.

🛠️ How We Built It

Frontend: Built with React.js, styled with a retro aesthetic. We used Supabase for user authentication and real-time database syncing.
Backend: Developed using Node.js. We integrated Twilio Programmable Voice to place phone calls and capture user speech.
Speech Recognition: User speech is transcribed using Whisper API, then passed to Google Gemini to parse intent and extract trade actions (e.g., “Buy 5 shares of Tesla”).
Market Data: Fetched from Alpha Vantage and processed through a simple sentiment analysis pipeline to generate realistic broker dialogue.
Live Updates: Trades are reflected in real-time on the user’s dashboard via WebSockets.

⚔️ Challenges

Understanding natural speech patterns was a major hurdle — users might say "sell everything" or "grab 10 Tesla" and we needed our NLP to parse that accurately.
Coordinating multiple services (Twilio, Whisper, OpenAI, Supabase, WebSocket server) in real time was technically intense for a 24-hour project.
Crafting a voice assistant that feels like a broker — not a generic assistant — required tone, pacing, and vocabulary design.

✅ What We Learned

Voice interfaces are powerful tools when paired with strong NLP — they make user experiences feel personal and memorable.
Twilio’s voice stack, combined with Whisper and OpenAI, opens doors to immersive, conversational applications.
Real-time financial data + speech-based trading = a fun, educational way to simulate investing for new users.

🚀 Final Thought

Wolf is more than a trading simulator — it’s a love letter to the high-energy, fast-talking, bold world of Wall Street.
It doesn’t just teach you to trade. It makes you feel like a trader.

The street talks. You answer.