When I started trading on crypto 24/7 markets, I quickly realized that manually keeping up with all the opportunities is simply impossible. That’s when I delved deeply into algorithmic trading.

Basically, it’s a system where your program automatically places orders based on predefined rules. You can set the algorithm for price, time, volume — anything. A simple example: buy 10 BTC when the 10-day moving average exceeds the 30-day, and sell when it drops below. Sounds simple, but in reality, it’s much more complex.

Why do I consider algorithmic trading such a valuable tool? First, it allows you to trade much more frequently and faster than you could manually. Orders are executed instantly, you get better prices, and slippage is minimized. Second — and this is important — it removes emotions from the equation. No panic, no greed, no mistakes caused by fatigue.

On a macro level, algorithmic trading makes markets more liquid and predictable. This is especially useful in crypto markets, where everything moves 24/7. Even if you’re sleeping, your algorithm is working and won’t let you miss opportunities or suffer large losses.

There are many ways to use algorithmic trading. Arbitrageurs use it to catch price differences. Scalpers and short-term traders rely on it to execute enough orders and profit from small movements. Market makers use algorithmic trading to provide liquidity. Some even test strategies through it before live trading.

But it’s not all perfect. Algorithmic trading has risks. Systems can freeze, networks can go down. Since algorithms are written by humans, they can contain errors — so backtesting is critically important. And most importantly: the algorithm does exactly what it’s programmed to do. It cannot predict “black swan” events or unforeseen circumstances that sometimes require human intervention.

So, algorithmic trading is a powerful tool, but not a cure-all. It’s important to understand its capabilities and limitations before using it.