Developed and tested a proprietary trading automation system over a two-week period. The system f...

Developed and tested a proprietary trading automation system over a two-week period. The system f...Developed and tested a proprietary trading automation system over a two-week period. The system f...

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Olatunji Yusuf

• 16h

Developed and tested a proprietary trading automation system over a two-week period. The system focuses on disciplined risk management, automated execution, and consistency. During the test period, the account grew from approximately $2,000 to $8,000 while following predefined trading rules and market conditions. Results shown are from a historical test period and are not a guarantee of future performance.

Carola Cardozo

• Jul 3

I developed an automation to manage business leads from a web form connected to an n8n workflow.

The flow allows a user to complete a landing page form, the backend validates the data, and n8n registers the lead in Google Sheets, sends an automatic confirmation email, and notifies the sales team in Slack.

This solution helps reduce manual work, avoid lost leads, and improve response time by keeping new prospect information organized in real time.

Technologies used: React, Node.js, Express.js, JavaScript, n8n, Webhooks, Google Sheets, Gmail and Slack.

Automation Engineering AI Development Web Development N8N Node.js Slack

Ulises Gabriel

• Jul 4

This is amazing! I can't wait to give it a try 😃

TULASI KRISHNAKUMAR

• Jul 4

Developed a full-stack, real-time quantitative trading analytics dashboard. The frontend is built on Next.js (React 19) and integrates TradingView's Lightweight Charts to display live candlestick data, technical indicators (EMA ribbons), and order execution flags. The backend, driven by Express.js, stream-calculates technical indices (such as RSI and EMA crossovers) from WebSocket tick feeds and broadcasts trade signals at sub-second speeds.

Next.js Frontend Development Software Architecture Full Stack Development Quant-UX Socket.io

Toni Ilić

• Jul 4

StockLrn — a stock-market education web app I built solo, with live financial data, analyst ratings and interactive charts. Built with Laravel 11, Vue.js and ApexCharts. Live at stocklrn.com