TLDR; "What interests me in life is curiosity, challenges, the good fight with its victories and defeats."
- Paulo Coelho
Deployed with Docker to an AWS EC2 instance; Trade Stats Pro empowers traders to track their trading account statistics in an accurate and timely fashion.
It allows for individual historical trade analysis, putting traders in the driver’s seat to improve their trading process by targeting inefficiencies in their trading system.
Login via Google(OAuth 2.0), upload a spreadsheet file of transactions and let Trade Stats Pro do the rest!
Smart Trader, a necessary precursor to Trade Stats Pro; helps users accurately track their trading account statistics and analyze individual trade history. It empowers traders to identify inefficiencies and improve their strategies.
Real-time portfolio performance is provided through an external market data API. Built with Vite, React, Express and MongoDB, the app offers a fast, dynamic user experience.
Python/Flask application that utilizes object-oriented programming (OOP) to help users understand the current equity market environment using customizable breadth metrics.
Add up to three custom portfolios to track how well they are trending in the current market environment.
Python backend application harnessing the power of Matplotlib + Pandas DF to allow users to backtest custom portfolios against breadth metrics across time.
Highlight charts based on user specific parameters to identify optimal trading environments in the market.
What began as a quest to systematically solve issues within my own equity trading process, led me to fall in love with the idea being able to solve other humans' problems with code. My name is Jarrod and I am currently residing just outside of Salt Lake City, UT. Over the past two years I've developed a fondness and curiosity around what I can create with code.
I am a full-stack software developer with a focus on JavaScript/TypeScript and Python technologies. I specialize in building scalable web applications, primarily using frameworks like Next.js, React, and NestJS on the frontend and backend. My experience spans across designing robust authentication systems, handling SQL and NoSQL databases, and deploying cloud-based solutions on AWS.
With a diverse professional background that includes equity trading and portfolio management, I bring a unique analytical perspective to software development, particularly in fintech and data-driven applications. I have successfully delivered projects like Trade Stats Pro, a trading statistics tracker, and my.Breadth, a stock market breadth analysis tool.
I'm always looking for opportunities to create high-impact software solutions, leveraging my problem-solving skills and passion for clean, maintainable code. I graduated from the University of Florida with a Master of Science in Finance (2008) and a Bachelor of Science in Business Administration (2007). I live life by the four C's: coffee, coding, climbing, and college_football. GO GATORS!
Feel free to reach out to me on LinkedIn Messages.