Creating an algorithmic trading system, also known as a trading robot or automated trading system, requires a range of skills and knowledge. Some of the key skills and knowledge that may be needed to create a successful algorithmic trading system include:
- Programming skills: A strong background in programming is essential for creating an algorithmic trading system. The system will need to be programmed in a language such as Python or C++, and the programmer will need to be familiar with concepts such as algorithms, data structures, and object-oriented programming.
- Knowledge of financial markets and trading: A deep understanding of financial markets and trading is also important for creating an algorithmic trading system. The programmer will need to know how to analyse market data and to identify trading opportunities based on predetermined rules and criteria. They will also need to understand key concepts such as risk management and compliance.
- Mathematical skills: Strong mathematical skills are also important for creating an algorithmic trading system. The programmer will need to be familiar with statistical and mathematical concepts such as probability, regression analysis, and time-series analysis, as these will be used to develop the algorithms and models that drive the system.
- Data analysis skills: The ability to analyse large datasets is also critical for creating an algorithmic trading system. The programmer will need to be able to extract relevant data from sources such as market data feeds, and to clean and prepare the data for use in the system. They will also need to be able to visualise and interpret the data to identify trends and patterns that may be relevant to the system’s trading decisions.
Overall, creating an algorithmic trading system requires a range of skills and knowledge, including programming skills, knowledge of financial markets and trading, strong mathematical skills, and data analysis skills.