Abstract
Algorithmic Trading is a process where a computer system is given specific orders to execute after certain conditions are met according to varying market conditions. Machine learning, Q-learning, Volatility based trading and Quantitative trading approaches are the various approaches used for algorithmic trading currently across various markets. Reinforcement learning and directional change are subsets of the Machine learning approach. Volatility based trading approach is famously used in cryptocurrency markets. Quantitative approach means using complex mathematical calculations to build trading models. We have adopted the quantitative approach for our automated trading system.
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