Algorithmic Trading

Algorithmic trading is the practice of letting computer programs buy and sell assets automatically based on predefined rules. Instead of watching charts and clicking buttons, a trader defines the conditions in advance, and software carries out the orders without further human input.

In practice, a trading program connects to an exchange through its API, monitors live market data such as prices, order books, and volume, and submits orders the moment its conditions are met. A rule can be as simple as buying when the price drops below a support level, or as complex as a statistical model weighing dozens of signals at once. Exchanges with mature APIs, such as Bitstamp and Kraken, publish rate limits and order endpoints specifically for this kind of automated access.

Common strategies in crypto include market making (placing simultaneous buy and sell quotes to earn the spread), arbitrage between exchanges, trend following, grid trading, and DCA bots that accumulate a coin on a fixed schedule. Algorithmic trading is especially widespread in crypto because markets run 24/7, liquidity is fragmented across many venues, and volatility creates frequent short-lived opportunities that only software can react to in time.

Retail traders typically rent bots through hosted platforms, while institutions build proprietary systems co-located near exchange servers. Onchain, MEV bots take the concept further by reordering transactions for profit.

The risks are real: coding bugs can trigger runaway orders, backtests often overfit to past data, exchange APIs can fail mid-trade, and fees can quietly erase thin margins. Bots follow rules faithfully, but rules built around indicators like resistance levels or leverage do not guarantee returns.