Algorithmic trading, also known as algo trading or automated trading, is a type of trading where a computer program executes trades based on pre-defined rules and algorithms. These algorithms can be designed to take into account a variety of factors such as market trends, price movements, and other indicators. Algorithmic trading can be used for a variety of financial instruments including stocks, futures, options, and currencies.

InvestSuite uses algorithmic trading as part of their digital investment solutions to help their clients achieve their investment goals by using data-driven strategies. Algorithmic trading can help eliminate human emotions and biases from investment decisions and can be executed faster and more efficiently than manual trading. InvestSuite's platform allows financial institutions to offer automated investment solutions to their clients, which can help improve the efficiency of their operations and provide a better experience for their customers.

During this workshop, you will learn about the theory behind algorithmic trading and how it can be applied to different financial instruments such as stocks, futures, options, and currencies. You may also learn about the different types of algorithms that can be used in algorithmic trading, such as trend-following algorithms, mean-reversion algorithms, and machine learning algorithms. In addition to the theoretical knowledge, you will have the opportunity to put your knowledge into practice by creating your own algorithmic trading algorithm. You will learn how to use programming languages such as Python to create your algorithm and how to test and optimize it using historical market data. Overall, this workshop will provide you with a great foundation in algorithmic trading and help you understand how it can be used to create data-driven investment strategies. You will leave with practical skills that can be applied in a variety of financial settings, including investment management, trading, and quantitative finance.

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