Algorithmic trading = Automated trading systems
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What? At the most basic level, an algorithmic trading robot is a computer code that has the ability to generate and execute buy and sell signals in financial markets. The main components of such a robot include entry rules that signal when to buy or sell, exit rules indicating when to close the current position, and position sizing rules defining the quantities to buy or sell. Strategies used in algorithmic trading include market making, inter-market spreading, arbitrage, or pure speculation such as trend following.


Why? Time waits for no one and financial markets are no different, especially when it comes to the unpredictable world of cryptocurrency trading, which is why a carefully calibrated, safe and reliable trading strategy is essential.
It is widely used by investment banks, pension funds, mutual funds, and hedge funds that may need to spread out the execution of a larger order or perform trades too fast for human traders to react to. A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans.


How? 
- Minimizing Emotions
- Backtesting
- Preserving Discipline
- Improving Order Entry Speed
- Diversifying Trading
- Automated monitoring and reporting


hmmm What else? 
Macroeconomic news (e.g., non-farm payroll or interest rate changes)
Fundamental analysis (e.g., using revenue data or earnings release notes)
Statistical analysis (e.g., correlation or co-integration)
Technical analysis (e.g., moving averages)
The market microstructure (e.g. arbitrage or trade infrastructure)