Algorithmic Trading

Algorithmic trading is the use of computer programs to place and manage orders automatically according to predefined rules based on price, volume, timing, or statistical signals. It ranges from simple execution algorithms that slice a large order into pieces to high-frequency strategies that react in microseconds.

Why it matters

Algorithms now account for a majority of trading volume in US equities and a large share of futures and currency markets, which means the price of nearly every asset is set moment to moment by machines. Benefits include tighter spreads and deeper liquidity. Costs include new failure modes: the 2010 flash crash showed how interacting algorithms can drain liquidity in minutes, and similar sudden air pockets have appeared in gold futures and crypto markets.

For long-term investors the practical lesson is about market structure: short-term prices reflect algorithmic positioning as much as human conviction, and limit orders beat market orders in thin conditions.

In the gold vs bitcoin debate

Both assets trade in heavily algorithmic markets, but bitcoin's are open 24 hours a day, 365 days a year, across hundreds of venues, making it a natural laboratory for automated strategies and cross-exchange arbitrage. Gold's algorithmic activity concentrates in COMEX futures and London over-the-counter trading during business hours. In both cases, the daily price noise generated by machines says little about the decade-long monetary theses that lead people to hold either asset.