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About the course:
Moneyball Trading Program course introduces the concept of algorithmic trading and quant strategies. It provides an overview of various types of automated trading systems, including trend following, mean reversion, arbitrage and market making. The program also covers risk management techniques such as portfolio optimization and volatility management. Additionally, it discusses the practical aspects of developing a trading system such as data collection, analysis, backtesting and execution. Furthermore, students learn how to evaluate different algorithms in comparison to each other before deploying them into real markets. After completion of the course participants are expected to have a good understanding of how automated trading works and be able to develop their own strategies or modify existing ones. The program is led by experienced professionals with extensive experience in quantitative finance and algorithmic trading. At the end of the course, students will be able to apply their knowledge in real-time trading scenarios and understand how automated strategies can be used to generate consistent profits. This course is essential for those who want to gain an edge over other traders and become a successful algorithmic trader.