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Analysis of Cost per Transaction with DISACON CORE

Aug 1, 2025 · Analysis · Economics
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Montabaur, August 1, 2025. As part of a recent economic efficiency analysis, DISACON evaluated the cost and scaling effects of DISACON CORE under realistic load scenarios. The results show that high transaction volumes can be processed efficiently with constant base costs—while maintaining predictable cost structures and reproducible performance.

At the center of the analysis is a scalable cloud architecture designed for efficiency and cost control as requirements grow. Different volume scenarios were examined using clearly defined parameters—including baseline configurations with comparable CPU resources, fixed processing windows, and constant execution logic per transaction. The goal was to transparently quantify the cost per transaction and total processing times as trading volumes increase.

The analysis covers two key scenarios: In a mid-volume approach with around 66 million trades per year, the cloud setup totals approx. EUR 6,000 per month, with costs of 0.11 cents per trade and a total processing time of 50 minutes. For a high volume of 220 million trades per year, a cloud setup of approx. EUR 17,000 per month was assumed—at 0.10 cents per trade and a total processing time of 90 minutes. In both scenarios, processing time per trade remains constant at 10 milliseconds, highlighting the stability of the architecture under load.

Particularly relevant is the scaling perspective: DISACON CORE is designed to enable stepwise scaling of up to 10,000% as volumes grow—without proportional cost increases. With optimal configuration, such as using 10 CPUs or more, processing capacity can be multiplied (factor 10 / 1,000%) while base costs remain stable. This reduces total processing time in the expanded setup to around 5 minutes, while still maintaining 10 milliseconds per trade.

With this analysis, DISACON reinforces its commitment to providing a platform with DISACON CORE that supports institutions both technologically and economically. The combination of an efficient cloud architecture, high automation, and predictable scalability creates the foundation for keeping cost per transaction low over the long term while reliably supporting growth and regulatory requirements.