Advertisement
AD

Fors Launches Beta to Aggregate Prediction Markets Across Solana Ecosystem

Tue, 13/01/2026 - 16:01
Advertisement
Fors Launches Beta to Aggregate Prediction Markets Across Solana Ecosystem
The cover image and all the rights belong to the client ordering given press release
Read U.TODAY on
Google News

Be'er Sheva, Israel, January 13th, 2026, Chainwire

Advertisement

Fors, a prediction market aggregation platform built on Solana, today announced the release of its beta version, designed to address fragmentation and inefficiencies across modern prediction markets.

Prediction markets covering multiple categories, including politics, sports, macroeconomic events, cryptocurrencies, and global developments, have expanded rapidly in recent years. However, market data, liquidity, and pricing remain fragmented across isolated platforms, making it difficult for participants to compare outcomes and identify inefficiencies efficiently.

Fors addresses this challenge by aggregating multiple prediction venues into a single, unified interface. The platform normalizes probabilities, pricing, and liquidity, allowing users to compare identical outcomes side by side across different markets.

Built on Solana, Fors leverages high-performance infrastructure to support real-time aggregation and low-latency data processing. The platform is also developing smart order routing capabilities designed to direct trades toward the most favorable venue based on price, liquidity, and execution conditions, while maintaining transparency and user control.

One of the core benefits of aggregation is improved visibility into cross-market price differences. By presenting pricing disparities across venues, Fors enables users to identify arbitrage opportunities that may exist due to fragmented liquidity and inconsistent market pricing.

In addition to aggregation and execution optimization, the beta release introduces copy trading functionality adapted for prediction markets. Users can follow experienced participants across aggregated venues, supported by transparent performance metrics, historical analytics, and configurable risk controls. A built-in demo practice mode allows users to test copy trading strategies without committing real capital.

Fors operates with a non-custodial design, ensuring users retain ownership of their funds while interacting with multiple prediction markets through a single interface.

The January 8 beta launch represents an early step in Fors’s broader vision to provide infrastructure-level tools as prediction markets continue to mature.

About Fors

Fors was created to solve the fragmentation and inefficiencies in modern prediction markets. Built on Solana, the platform aggregates multiple prediction venues into a single, transparent interface. Fors focuses on fairness, neutrality, and data integrity, allowing users to compare markets without bias. Its mission is to make prediction markets accessible, efficient, and professional-grade. With features such as real-time aggregation, smart order routing, arbitrage visibility, and copy trading with demo practice, Fors has attracted strong early adoption and is helping shape the next generation of prediction market infrastructure.

Contact

Johnathan Peled, Tel Aviv
Head Of Public Relations
partnerships@fors.market
 

Company details
Organization:
Chainwire
Website:

Disclaimer: This is sponsored content. The information on this page is not endorsed or supported by U.Today, and U.Today is not responsible or liable for any inaccuracies, poor quality, advertising, products or other materials found within the publication. Readers should do their own research before taking any actions related to the company. U.Today is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in the article.

Advertisement
Advertisement
Advertisement
Advertisement
Subscribe to daily newsletter

Recommended articles

Our social media
There's a lot to see there, too