When I started studying crypto markets, one of the first things that struck me was how people manage to trade 24/7. It turns out, many don’t have the time, so they use algorithmic trading.

The thing is, algorithmic trading is essentially an automatic system that places buy and sell orders based on rules you set in the program. The computer monitors the price, time, volume — everything you instruct it to pay attention to — and when the conditions match, it automatically executes the order.

A simple example: you can set up an algorithm to buy 10 BTC when the short-term moving average (10 days) exceeds the long-term (30 days), and sell when the situation reverses. But in reality, it’s much more complex — you need many conditions to build something truly profitable.

Why do people switch to algorithmic trading at all? First, it allows trading much more frequently and quickly than manual trading. Orders are executed instantly, so you get better prices and avoid slippage. Second, the machine has no emotions — it doesn’t panic or make stupid decisions based on fear or greed. This significantly reduces the risk of human errors.

At the market level, algorithmic trading makes it more liquid and, paradoxically, more stable, because everything happens according to clear rules. This is especially useful in crypto markets, which operate 24/7. Even if you sleep, your algorithm continues working and can protect you from large losses.

The range of strategies that can be automated is very broad. Arbitrageurs use algo trading to catch tiny price differences between exchanges. Scalpers and short-term traders set up algorithms for very high-frequency trading. Market makers use them to maintain liquidity. Many also test new strategies through algorithmic trading before risking real money.

But it’s not that simple. There are real risks. The system can crash, the network can fail. Algorithms are written by people, so they can have bugs. Constant testing and verification are necessary to ensure everything works properly. And most importantly — the algorithm does exactly what it’s programmed to do, nothing more. It cannot predict black swan events or unexpected situations that require human intervention.

So, algorithmic trading is a powerful tool, but not a panacea. It works well for those who understand what they’re doing, but it can be costly if set up incorrectly.