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Algorithmic Trading: Who Is Really Moving the Price?

A large share of forex volume today comes from computer-driven strategies. Understanding what they do helps explain behaviors that seem strange to human traders.

Algorithms in forex serve several purposes. Execution algorithms break large orders into small pieces and send them over time to reduce market impact. Market-making algorithms stream quotes and adjust them in milliseconds. Arbitrage algorithms exploit tiny price differences between venues. And systematic strategies trade based on signals such as trends, carry, or statistical relationships.

The effects on price are mixed. Algorithms generally add liquidity and keep prices consistent across venues, tightening spreads. But they can also withdraw quickly in stress, which makes liquidity vanish and exaggerates moves, as seen in several flash events.

Patterns result. Price often moves in small jumps, reacts fast to data releases, and shows short-term bursts that reverse. Algorithms also tend to act at similar times and levels, such as around the daily fix or at key technical points.

For a retail trader, competing on speed with algorithms is not realistic. The advantage lies elsewhere: patience, selecting trades with clear risk and reward, and avoiding the timeframes where costs and speed dominate.

Be careful when strategies depend on microstructure details that algorithms operate on faster.

Practical step: examine a one-minute chart during a major news release, and note how many times price whipsawed before settling.

The one minute chart during NFP is a great lesson. Watching price whip back and forth in the first seconds shows exactly why manual traders shouldn't try to compete there. The release lands at 8:30am New York, which is 1:30pm Lagos while the US is on daylight time. By the time you've read the headline number, algorithms have already reacted, reversed, and reacted again. I'd use a demo account or just watch one release with no position open and count how many times price crosses its starting level in the first minute. Most people find that convinces them to wait at least fifteen minutes before looking for anything.

The flip side is useful: algos thin out quickly in stress, so the moves you see in those moments can overshoot. A lot of good entries come after that panic, not during it. What I look for is the spike to run into a clear level, like the previous day's high or low, and then stall with the spread coming back to normal. If price starts printing candles back inside the range on the five minute chart, that's the market finding its feet again, and the overshoot gives you a reasonable stop beyond the extreme. Not every spike reverses, so the stop matters. But entering after the chaos usually beats chasing during it.