- November 8, 2022
- Company, Algo
NEW YORK, NY – Nov 8 – Apifiny, (https://www.apifiny.com/), the multi-exchange crypto trading platform, today announced the success of the Cornell Trading Competition. This was a series of competitions ranging from crypto trading to portfolio management for university students worldwide hosted by the Cornell Quant Fund (CQF). In all, the Cornell Trading Competition drew over 400 student applications from over 60 different schools around the world, of which 150 applicants were chosen by CQF to compete and attend the event at Cornell Tech’s campus in New York City. Over 100 student teams were invited to participate in the Crypto Challenge, where they worked to produce the most successful trading strategy utilizing Apifiny Algo, Apifiny’s high performance crypto trading library that allows users to implement algo trading strategies with ready-to-use code.
The competition attracted students from universities such as Cornell, Carnegie Mellon, Massachusetts Institute of Technology, Princeton, Stanford, University of Pennsylvania, Yale, and Harvard, as well as international students from Canada and France. The final submissions demonstrated Apifiny Algo’s real-world use cases and the ability to streamline high frequency and latency sensitive trading.
“We were incredibly proud of the final turnout for the competition, and to have students succeed using Apifiny Algo shows just how innovative this solution is,” said Haohan Xu, Apifiny CEO. “I founded Apifiny as a college student, so seeing the enthusiasm and innovation demonstrated by these young students across the globe well exceeded our expectations and is a testament to the longevity of crypto trading, even amidst today’s unpredictable market.”
During the competition, participating students created trading strategies to back test and trade using a high-performance C++ trading engine, an intuitive JSON-based strategy configuration, or by writing their own C++ code. The students were limited to trading one cryptocurrency symbol and provided with preloaded files containing the main API components, with the ability to freely add code depending on skill level.
“If we wanted to be creative and expand beyond the available API documentation and functionalities, we could write our own code in the C++ file,” said Cindy Wu, a Duke student who utilized Apifiny Algo in the competition. “That was my favorite part, because in addition to the tools that made it easy to implement existing strategies, you could also develop your own strategies and combine it with the Apifiny platform very seamlessly.”
The Apifiny Algo development team back-tested the students’ strategies using 2-month out-of-sample market data to decide the winners, which were announced on October 22 at Cornell Tech’s Verizon Executive Education Center. The first prize winners from Carnegie Mellon University and University of Illinois Urbana Champaign were awarded $1,000 USD for the highest performing trading strategy, while the second and third prize winners from Cornell University received $500 and $250, respectively.
“Since we wouldn’t have to plug in our own formulas and calculations, [Apifiny Algo] helps us make sure we don’t make any errors,” said Josh Guo from Carnegie Mellon University. “It’s also really easy to use the different libraries and functions. It made the experience a lot more smooth.”
Learn more about the winners by visiting: https://gitlab.com/apifiny-algo/cornell-trading-competition#final-rankings
To learn more about Apifiny Algo, please visit: https://algo.apifiny.com/
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