Let's talk about algorithmic trading — a topic that interests many, but not everyone understands how it actually works. Essentially, it is an automated system where a computer program places buy and sell orders based on predefined rules.

For some reason, people think that algo trading is something complicated and inaccessible. In reality, the basic idea is simple. The algorithm monitors prices, time, trading volumes, and other indicators. When market conditions match the program's criteria, it automatically executes a trade. For example: if the ten-day moving average exceeds the thirty-day, the algorithm buys assets. When the situation reverses, it sells. Of course, real strategies are much more complex — they involve hundreds of conditions and parameters.

Why do traders switch to automation at all? The first advantage is speed. A human cannot react to all portfolio fluctuations, but the program responds instantly. This means better entry and exit prices, less slippage. The second point is emotions. Manual trading often leads to mistakes due to fear or greed. The algorithm has no feelings; it simply performs its task. On a macro level, this creates more liquid markets with a higher frequency of orders.

This is especially relevant for crypto. The market never sleeps 24/7, but humans do. While you rest, algo trading works, catching opportunities and protecting against sharp drops. Even those who predominantly trade manually often use algo as a safety cushion.

Where is it most applied? Arbitrage — when you catch tiny price differences between exchanges. Scalpers and short-term traders, who profit from small movements — for them, algo trading is simply necessary to keep up with the pace. Market makers use it to provide liquidity. Many also test new strategies via algos to see if they are profitable at all.

But it’s not all smooth sailing. There are risks. Systems can malfunction, the network can go down. Algorithms are written by people, so coding errors are common. Constant checking and retesting are necessary to ensure the program works correctly. And most importantly — the algorithm does exactly what it is programmed to do. If something unforeseen happens, a “black swan,” the program won’t be able to adapt like a human. Then human intervention and quick decisions are needed.

So, algo trading is a powerful tool, but not a panacea. It offers advantages in speed and discipline, but requires constant monitoring and understanding of what you’re doing.