Price feed aggregation and why two quotes at the same moment differ
Posted: Tue Nov 03, 2026 9:05 am
Price feed aggregation and why two quotes at the same moment differ
Retail brokers do not make prices. They aggregate quotes from several liquidity providers, apply a markup, and publish a single feed. Different brokers use different providers, different aggregation rules, and different markup logic, so the same second of the same pair can show visibly different bid and ask values.
Differences of 0.1 to 0.3 pips are normal in quiet markets. During fast moves, one feed may lag by 200 ms and show a stale price that the other already left behind.
For scalpers, this implies two things. First, a strategy tested on one broker's data may behave differently on another's, particularly for tick-level logic. Second, the feed can be a source of edge or drag. A slow feed means signals arrive late, and a feed with filtering may smooth away the very ticks a system reacts to.
Compare feeds by logging ticks side by side for an hour during a volatile window. The lag and the spread differences will be obvious in the data.
Has anyone noticed a feed that consistently led or lagged another one?
Retail brokers do not make prices. They aggregate quotes from several liquidity providers, apply a markup, and publish a single feed. Different brokers use different providers, different aggregation rules, and different markup logic, so the same second of the same pair can show visibly different bid and ask values.
Differences of 0.1 to 0.3 pips are normal in quiet markets. During fast moves, one feed may lag by 200 ms and show a stale price that the other already left behind.
For scalpers, this implies two things. First, a strategy tested on one broker's data may behave differently on another's, particularly for tick-level logic. Second, the feed can be a source of edge or drag. A slow feed means signals arrive late, and a feed with filtering may smooth away the very ticks a system reacts to.
Compare feeds by logging ticks side by side for an hour during a volatile window. The lag and the spread differences will be obvious in the data.
Has anyone noticed a feed that consistently led or lagged another one?