University of Chicago Students Use QuantConnect to Learn Algorithmic Trading
Master of Computer Science degree candidates will use QuantConnect’s platform to learn how their Python programming skills translate to significant opportunities in finance.
For the second consecutive year, QuantConnect sponsored the platform subscription for students in enrolled in Dylan Hall’s “Applied Financial Technology” course. According to Jared Broad, CEO of QuantConnect, “We’re dedicated to inspiring the next generation of quants and providing everyone with access to life-changing financial tools.”
In Hall’s Applied Financial Technology course, students select two stocks to observe, conduct a value analysis, input financial data, discuss various theories/models, and develop their first algorithm. This experience provides a segue into QuantConnect’s LEAN framework, which gives students a systemic approach to producing well-performing algorithms. Students proceed step-by-step through universe and alpha selection, portfolio construction, and risk overlays. After building algorithms in teams, they turn in their best-performing algorithm for backtesting. The results have surprised many students.
Hall noted that QuantConnect’s open platform and Alpha Streams marketplace give students the confidence to explore and pursue careers in finance. “Alpha Streams shows my students that even if they don’t have a lot of money to invest, if they can do the research, they can sell the signal on QuantConnect,” said Hall. “The platform really democratizes finance and opens new doors.”
If your university wants to use QuantConnect’s platform for a class or quant contest, email firstname.lastname@example.org about partnership opportunities.