Anyone can wire a prompt to the GPT API. The hard part is making an AI answer stock questions with real, current data instead of guesses. That means feeding it live prices, fundamentals, and news, handling tickers it has never seen, and keeping costs sane at scale. I solved these problems building Meyka AI, a stock research platform that grew to 300K monthly readers with zero ad spend.

What I build

• Stock research chatbots that answer questions using live market data, not stale training data.
• Sentiment analysis tools that read Twitter, StockTwits, and Reddit and score tickers.
• Market summary generators that turn raw data into daily readable reports.
• WhatsApp and web chatbots for exchanges and trading communities.
• Multi-model setups using GPT, Claude, Gemini, and DeepSeek, picking the right model per task to control cost.

Proof

Meyka AI: I built the full AI stock research engine, including a stock grading algorithm that combines technicals, fundamentals, and forecasting. A real-time WhatsApp chatbot for the Saudi Exchange using the OpenAI API, holding 100% uptime on the cloud. A social media sentiment tool that pulls trending stock posts and runs analysis per ticker.

A straight answer on AI hype

An AI chatbot will not predict the market for you, and I will not sell you one that claims to. What it does well: answers research questions fast, summarizes filings and news, screens sentiment, and saves your users hours of reading. If that is the product you want, I have built it before.