What qualifies as a venue
Venue is an umbrella term. It includes organized exchanges that match orders in a central book, electronic networks that connect participants directly, and dealer or over-the-counter markets where two parties trade bilaterally. These differ in structure and transparency but share one function: bringing buyers and sellers together so that trades can occur.
- Exchanges: a central, rules-based order book with public prices.
- Electronic networks: systems that match participants directly.
- Dealer or OTC markets: trades negotiated between two parties.
Why one asset trades in many places
Liquidity is rarely concentrated in a single location. Different participants prefer different venues, and each venue develops its own pool of buyers and sellers. As a result, a widely traded asset trades across many venues at the same time, and there is often no single global marketplace that holds the complete picture. The market for an asset is effectively the sum of its venues.
Why the venue affects price
Because each venue has its own supply and demand, the same asset can quote at slightly different prices on different venues at the same instant. A thin venue may lag the broader market or display occasional outliers, while a deep venue tracks it closely. A single venue therefore reflects only that venue's view, including its particular conditions.
Reading one venue versus many
This is the practical reason aggregation exists. Combining quotes from several independent venues, filtering outliers, and weighting the remainder produces a value that represents the broad market rather than any single location. Such a value is more stable than a single feed and far less affected by an error on any one venue, which is why a representative price is generally built from many venues rather than taken from one.
A multi-venue view on SiftingIO
SiftingIO treats the presence of many venues as the starting point rather than a problem to ignore. For each asset it collects quotes from several independent venues, filters outliers, and combines them into one aggregated fair price, producing a representative value rather than the view of a single venue. The same approach applies across crypto, forex, and commodities under one schema and one credential.