Platforms · Software · Providers · Markets
Institutional trading teams are putting more weight on the systems behind a broker's price than on the spread alone, according to Filip Kaczmarzyk, head of trading and XTB board member. He says firms need to show that their execution is competitive, which means assessing how the broker handles prices and orders as well as the cost quoted at the outset.
That shifts attention towards APIs, algorithmic execution, automated hedging and links to order management, execution management and transaction cost analysis tools. Kaczmarzyk says purpose-built technology can fit institutional needs more closely, although it requires substantial capital; off-the-shelf services, in his view, often fall short of those requirements.
Execution now depends on delivery
Jason Hughes, general manager at IC, says pricing and liquidity remain prerequisites, but the technology stack determines how reliably clients can access them. Institutional buyers assess the full route from price aggregation and market data through smart order routing, latency, risk controls and recovery when systems fail. They also consider security, redundancy and uptime during outages.
Similar access to liquidity does not guarantee similar results. In index CFDs, volatile conditions and futures rolls can expose differences in how a broker aggregates prices and manages its pricing process. Hughes says institutional clients are increasingly judging providers on their ability to maintain a consistent market structure and execution architecture, rather than on a single spread comparison.
Sam Meisel, financial trader at Spreadex, points to platform speed and reliability, alongside the ability of pricing and risk systems to withstand market stress. A spread that looks attractive on screen may not help if it is unavailable when prices move sharply.
A somewhat wider quote may serve clients better if the supporting systems continue to function consistently, he says. Technology affects whether a quoted price can be delivered in practice at retail, professional and institutional scale.
Giovanni Sciortino, product owner for futures & options at Saxo Bank, also describes technology as part of the service institutions deliver, rather than a back-office support layer. He points to AI changing how investors find opportunities, review information and make decisions. Sciortino says Saxo Bank checks the reliability and quality of third-party feeds used to form prices, and reviews the prices clients receive on trades quarterly and annually.
Institutional desks face the shift
Chris Cheverall, head of UK at CMC Markets, says competitive pricing remains an entry requirement. The test is whether a broker can maintain it across different conditions and at scale. For institutional users, that calls for dependable connectivity, low-latency execution, APIs, current market and account data, automated risk controls and reporting. These functions matter as trading hours lengthen and significant market events can occur at any time.
Cheverall says transaction cost analysis for index CFDs is still developing. Applying an equity-focused template may not capture the costs and execution conditions of an OTC leveraged product traded across extended hours. A sound comparison should account for holding costs and when a trade takes place, alongside volatility, execution delay, slippage and the size of the order; it should also assess available depth, the spread and the quality of the underlying reference market. He says there is no single accepted standard, and that repeatable, instrument-level analysis can help clients compare execution over time.
The withdrawal of MiFID II's RTS 27 and RTS 28 reporting requirements also removed a shared regulatory basis for examining execution. RTS 27 required execution venues to publish execution-quality data; RTS 28 required investment firms to disclose their leading execution venues and arrangements. The reports had shortcomings, but gave firms a common reference point. Finance Magnates reported the views of brokers and trading professionals on the growing importance of infrastructure and index CFD analysis.
Index CFD prices may draw on a futures contract, a cash index reference or a fair-value calculation that accounts for interest rates, expected dividends and time to expiry, depending on the product and session. Hughes says firms need to understand how liquidity and market data providers build those prices, particularly around futures rolls, dividend adjustments and times when the cash market is closed. He also says analysis should distinguish underlying-market moves from changes introduced by a broker's pricing approach or liquidity sources.
Meisel says Spreadex adds a fixed percentage of the price to either side of the underlying spread. The broker's component remains constant in percentage terms, while the overall quote can widen as the underlying spread expands when liquidity thins. A suitable analysis should therefore examine how the reference price is formed, what prices and liquidity clients could access, and execution outcomes such as partial fills, rejects and requote frequency.
What to watch next
For trading and risk teams, the immediate question is whether their execution review can separate the underlying market's movement from the broker's contribution. Can the analysis account for session, volatility, order size, available depth and the cost of holding a position? Does it capture rejects, partial fills and requotes, as well as the price shown and the price received?
Operators should also ask providers how reference prices are constructed around futures rolls, dividend adjustments and cash-market closures, and what evidence supports their feed-quality checks. The source does not identify a common index CFD analysis standard or a timetable for one. Firms evaluating providers will need to establish what data they can obtain, how often it is reviewed and whether it supports repeatable comparisons across instruments and market conditions.
