Competitors to Utilize API for Developing Algorithms and Executing Spot Trades on FTX and CoinbasePro
Yesterday, LondonAPEX:E3, a FinTech company located in London, declared the beginning of an algorithmic trading tournament for maths and computer science undergraduates from Oxford and Cambridge universities.
APEX.E3 recently rolled out a cutting-edge multi-asset analysis platform for retail and institutional investors. The Application Programming Interface (API) provides sophisticated traders, funds, and institutions with access to financial market data. Its analytics architecture for big data absorbs, compiles, processes and evaluates real-time order books information from more than 20 digital asset markets, including Binance, FTX and CoinbasePro.
The 15 participating Oxbridge students The competition started on November 16 and will end on December. Students will be competing in algorithmic trading. They will utilize the APEX E3 API to create algorithms and execute spot trades on FTX. CoinbaseA panel of leading industry experts will assess the team’s portfolio on trading strategy, technical algorithm development, and return on investment.
Dr Quentin Stafford-Fraser From the Department Of Computer Science At the University Of Cambridge commented: “Algorithmic trading is a significant utilization of many areas of edge computing in the contemporary world, and by transforming it into a competition, APEX:E3 has created an enjoyable and risk-free method for learners to learn about the industry and bring their imagination and experience to bear on the unique challenges of this domain. We look forward to seeing what the teams come up with and wish them all the best.”
Several incentives are available for students. The winning team will receive their start-up capital as well as any returns. Ideas for algorithms are already flourishing. These include arbitrage, whale order trading, machine learning, and neuro-linguistic programming. Neural networks are used to forecast market movements based upon historical data. Time series modeling is used for future price trends with ARMA. and the use deep learning models and high frequency momentum trading on volatiles. assets to reverse the trend based upon time sequence forecast.
Each participant will be provided with technical assistance, business mentoring, seed capital and other assistance. The contest is possible thanks to APEX E3’s alliance with FTX. CoinbaseConsenSys MeshLMAX Digital?, SIX Digital Exchange.
APEX:E3 CEO Usman Khan stated: “We are thrilled about the chance to bring real-world learning opportunities, extracurricular activities and financial market analysis to interested students who are currently in lockdown. We have been thrilled with the response from Oxford and Cambridge students to this competition and we look forward to expanding the reach and number of universities next year.”
