Clearwater Analytics unveiled CWAN Power and Gas, a new risk‑management module within its Beacon platform, at the E‑world Energy & Water 2026 conference in Essen, Germany. The launch introduces real‑time, transparent risk calculations for power and gas derivatives, allowing trading teams to validate, customize, and audit every calculation through open‑source code.
The module addresses growing volatility and regulatory complexity in the energy transition. By integrating market activity, physical assets, and customer outcomes into a single configurable data plane, CWAN Power and Gas enables firms to move faster, reduce reliance on legacy black‑box systems, and capture new alpha in power and gas trading strategies.
Clearwater’s CEO and product lead, Singh, said the platform gives firms complete control over risk calculations while delivering institutional‑scale performance. “Our clients are managing risk better and launching entirely new trading strategies that generate alpha in the evolving energy landscape,” he said.
The launch positions Clearwater to tap a sizable market. The North American power and gas trading value pool was estimated at $10 billion in EBIT in 2023, while the global electricity trading market is projected to reach $173.3 billion by 2035. CWAN Power and Gas is expected to capture a share of this expanding opportunity, adding a new subscription‑based revenue stream to Clearwater’s existing platform.
The new module builds on Clearwater’s recent acquisition of Beacon in April 2025, which added advanced risk‑modeling capabilities. The integration also leverages the company’s AI initiatives, embedding machine‑learning models into risk calculations to enhance accuracy and speed.
By offering a transparent, open‑source risk calculation platform, Clearwater differentiates itself from legacy black‑box systems and strengthens its front‑to‑back moat. The launch signals the company’s continued focus on cloud‑native, end‑to‑end solutions that meet the evolving demands of institutional investors and energy firms.
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