Where Trading Platform Price Feeds Actually Come From
The price shown on a trading platform's chart is generated through one of three methods: a direct connection to exchange data (which produces the most current and accurate price); an aggregated feed from multiple liquidity providers (which produces a tighter spread but may not reflect a single real market); or an internally generated price that the platform sets at its own discretion within a stated spread. For a retail trader, the difference is not always visible on the chart — but it is visible in the gap between the price at which you expect to execute and the price at which the platform fills your order.
Delayed Data: What It Costs You in Practice
Some platforms display real-time market data on their standard interface but make full tick-by-tick or depth-of-market data available only on a premium plan. Others display data that is delayed by fifteen minutes as a default, which is standard practice for financial data redistributors who have not purchased a real-time data license. For long-term position traders, a fifteen-minute delay has little practical impact. For traders who make short-duration decisions based on price action or momentum, a fifteen-minute delay is effectively useless — the platform is showing you the past while you are trying to respond to the present.
Spread Markup as a Hidden Data Cost
On platforms that do not charge an explicit commission, the cost of each trade is embedded in the spread — the difference between the buy and sell price. The platform receives the mid-market price from its liquidity providers and adds a markup before displaying the quote to the trader. The size of that markup is not always disclosed separately from the spread, which makes it difficult to calculate the actual cost per trade from the displayed price alone. Identifying whether a platform charges commission, markup, or both — and in what proportion — requires reading the fee documentation in detail, not just the headline spread advertised on the landing page.
How to Test Data Quality Before Committing Capital
The most direct test of a platform's data quality is to compare its quoted price on a major market pair to the contemporaneous price shown on a reputable independent source — a financial data provider that publishes exchange-sourced prices publicly. If the platform's price consistently deviates from the independent source by more than the stated spread, the difference is a cost that is not being disclosed. Running this comparison during both high-liquidity and low-liquidity periods — for instance, at market open and in the hour before close — reveals whether spread widening during volatility is within the range the platform discloses or outside it.
Why the Kestrel Fundast Review Treats Data Quality as a Primary Criterion
The Kestrel Fundast trading platform comparison and review assesses market data quality as a primary criterion because the information quality a trader receives directly determines the quality of the decisions they can make. A platform with excellent interface design and poor data quality is ultimately a more expensive platform than its fee schedule suggests, because the cost is embedded in the execution gap rather than in the stated commission. Identifying the data source, the feed latency, and the spread structure before opening an account is the same discipline as reading the fee schedule — it is a precondition for knowing what you are actually paying.