FinX is our proprietary price adjustment derivation engine; an application designed and built for the spread-bet/CFD industry, but applicable to any industry that licences stock exchange trading data or 3rd party financial trading data from official venues and the OTC markets.
Uniquely, both historical data AND ongoing data is derived by integrating FinX with your raw market data feeds (level 1 and 2). This protects you from retrospective market data audits for non-compliance of licensing fees and policies.
TAILORED FOR THE SPREAD BET INDUSTRY
Exchanges are now aware of the spread bet industry and have changed their data audit approach. Previously a flat-fee Derived Data Licence Fee was sufficient and pre-audits were not undertaken. This has now changed; exchanges such as the London Stock Exchange and CME are undertaking pre-audits to ensure, prior to licensing, a spread bet firm’s derived data is not able to be reverse engineered and the onward distribution of data is licensed. The risk grows each year as more and more exchange change their policies. Furthermore, LPs provide engineered feeds that are biased towards their markets.
FinX offers a neutral derived data feed allowing customers to add their own spreads and margins.
FINX CONSISTS OF 3 CORE COMPONENTS
TYPICAL FLOW OF MARKET DATA
Randomness built in
A price adjustment derivation engine works by making random adjustments to the value of each market in a trading data feed, creating a ‘derived data feed’.
Our engine injects this true randomness by using entropy pool methodology. An entropy pool is a source of random bits used to derive random numbers via a range of algorithms. The key thing here is to ensure there is enough entropy to allow random numbers to be generated without repetition. FinX uses a system that continually recharges and adds entropy to the pool which therefore allows non repeating random numbers to be generated.
This offers a robust solution that cannot be reverse engineered; we have tested FinX’s derived feed against the reverse engineering policies of major exchanges.