Build AI Stock Exchange Platform
Budget: $250 – $750 USD
I’m launching an online stock-exchange style website where investors can buy and sell shares in my 300 AI-driven companies. The platform must feel as immediate and intuitive as any modern brokerage while showcasing the unique nature of my businesses.
Core functionality
• Real-time stock trading: orders should execute instantly, with live price updates visible across the site.
• AI-powered predictive analytics: a built-in engine that analyses historical price data, company performance and broader market signals to generate trend forecasts users can act on.
• Educational hub: an integrated article library that explains how the exchange works, outlines each company’s mission and offers step-by-step guides for first-time investors.
Key goals
1. Smooth onboarding so a new visitor can open an account, fund it and purchase shares in minutes.
2. High-performance matching engine able to handle simultaneous trades across all 300 tickers without lag.
3. Clean dashboards where price charts, AI signals and order forms sit side by side.
4. Modular design that lets me add future features—such as personalised recommendations or video tutorials—without a full rebuild.
Deliverables
• Fully responsive web app (front end + back end)
• Deployed production instance on my preferred cloud host
• Admin console for company & share supply management
• Documentation covering setup, AI model retraining and content publishing for the article section
Acceptance criteria
– A demo account can place a market order and see it filled in under one second.
– Predictive analytics display a confidence score and refresh at the interval we agree on.
– At least five sample articles are loaded through the publishing workflow to prove the system works.
If you have experience integrating AI models into financial applications and can prove low-latency trade execution, I’d love to see what you can build.
Core functionality
• Real-time stock trading: orders should execute instantly, with live price updates visible across the site.
• AI-powered predictive analytics: a built-in engine that analyses historical price data, company performance and broader market signals to generate trend forecasts users can act on.
• Educational hub: an integrated article library that explains how the exchange works, outlines each company’s mission and offers step-by-step guides for first-time investors.
Key goals
1. Smooth onboarding so a new visitor can open an account, fund it and purchase shares in minutes.
2. High-performance matching engine able to handle simultaneous trades across all 300 tickers without lag.
3. Clean dashboards where price charts, AI signals and order forms sit side by side.
4. Modular design that lets me add future features—such as personalised recommendations or video tutorials—without a full rebuild.
Deliverables
• Fully responsive web app (front end + back end)
• Deployed production instance on my preferred cloud host
• Admin console for company & share supply management
• Documentation covering setup, AI model retraining and content publishing for the article section
Acceptance criteria
– A demo account can place a market order and see it filled in under one second.
– Predictive analytics display a confidence score and refresh at the interval we agree on.
– At least five sample articles are loaded through the publishing workflow to prove the system works.
If you have experience integrating AI models into financial applications and can prove low-latency trade execution, I’d love to see what you can build.