New exchange licensing changes are driving costs deeper into the market data supply chain - Alpha Analitica assists buy-side and sell-side firms in pushing back

/PRNewswire/ - Market data remains a major ongoing expense in financial firms' tech budgets. A fresh series of exchange fee adjustments is poised to elevate those expenses even more - and Alpha Analitica, a market data cost-optimization firm, indicates the time has come for the industry to reconsider its approach to data management instead of simply accepting the hikes.

Exchanges Are Updating the Guidelines on Data Fees

A recent report from WatersTechnology detailed how CME Group's 2025 licensing overhaul is generating tension throughout the market data sector. CME discontinued its traditionally free end-of-day (EOD) data licenses across its CME, CBOT, Nymex, Comex, and GME exchanges, placing that data under new delayed-data licensing fees - even for firms already paying for real-time access. According to the report, IPUG, a UK-based market data user group, determined that a bank licensed across major redistribution channels for all five CME exchange products could encounter roughly $273,600 in additional annual fees directly from the change. IPUG members are reportedly considering regulatory complaints and possible legal steps regarding the increases.

Importantly, these fee changes extend beyond the exchange level. Because major redistribution platforms - including Bloomberg Data License and LSEG DataScope - pass exchange licensing costs through to their clients, increases at the exchange level flow downstream into higher invoices for every bank, asset manager, and hedge fund depending on those data feeds. As one fintech executive noted to WatersTechnology, the effort of tracking and controlling newly chargeable data "does not create any value for the industry" - it merely shifts costs onto data consumers.

This situation is not isolated. It reflects a wider pattern: as exchanges seek to expand data revenue and vendors transfer those costs to clients, the overall expense of market data has risen year after year - often exceeding the budget growth firms set aside to cover it.

A Different Strategy: Addressing the Spend, Not Only the Invoice

Alpha Analitica was developed to tackle this exact issue. Instead of merely lowering exchange fees or vendor contracts - a battle most firms cannot win alone - Alpha Analitica targets the elimination of waste, duplication, and underused entitlements within a firm's current market data setup.

The company's main product, Math-Mill, serves as a quantitative calculation engine that removes the need to purchase derived data directly from market data vendors. Rather than paying vendors for pre-calculated analytics - implied volatility, greeks, curve and spread analytics, and other derived fields - firms can produce that data internally using Math-Mill, calculated from the underlying raw data they already license. Alpha Analitica's second product, Reference-Hub, addresses another source of overspend: duplicate reference and security master data requests, which it minimizes via a configurable caching engine. Clients using Math-Mill and Reference-Hub have reduced market data spend by up to 50%, while retaining full access and performance.

Why This Matters Now

With exchanges like CME redefining what counts as "free" data and redistributors passing those costs downstream, firms that fail to actively manage their market data footprint should anticipate continued bill increases. Alpha Analitica's perspective is clear: firms cannot dictate exchange charges, but they can manage what they actually use - and that is where genuine savings occur.

"Most firms are confined to a single model set by their market data vendor, with limited ability to tailor it to their own market perspective. With Math-Mill, firms can change interpolation models and modify calibration assumptions as needed. That flexibility not only lowers cost - it enables firms to align their analytics with their own pricing models, rather than adopting someone else's," said Al Cabrini, CTO of Alpha Analitica.

About Alpha Analitica

Alpha Analitica applies deep investment data expertise to resolve the industry's most intricate market data issues. Supported by extensive experience in algorithmic trading and advanced knowledge of complex data types, Alpha Analitica creates tailored solutions - including Math-Mill and Reference-Hub - that enable financial institutions to lower market data and data governance costs without sacrificing access or performance. Alpha Analitica is based in Miami, FL, with offices in Toronto, ON.

For more information, visit AlphaAnalitica.com or schedule a demo at calendly.com/alphaanalitica/new-meeting.

SOURCE Alpha Analitica