TTS Launches Prediction Market Infrastructure

New Product Line Released on May 18, 2026

Trading technology solutions company Trade Tech Solutions (TTS) issued a company press release on May 18, 2026, announcing that it had expanded its proprietary trading firm infrastructure platform into the prediction market sector. According to the company’s disclosure, the solution is aimed at prediction market proprietary trading firm operators, with its core selling point being the ability to deploy a branded platform in as little as 15 days.

The direct result of this release is that TTS has added prediction markets to its existing business portfolio. The company previously mainly served proprietary trading scenarios such as forex, crypto assets, futures, and sports trading. After the launch of the new solution, prediction markets became its fifth business segment, with the company stating that operators can manage multiple speculative trading products within the same technology ecosystem.

The company press release published by Investing.com shows that TTS says it is used by more than 85 proprietary trading firms worldwide and supports more than 500,000 newly created trading accounts each month. Public information on the TTS website also shows that the company’s services cover more than 180 regions, with more than 200,000 active traders and access to more than 80 payment processors. These figures form the main business background for its entry into the prediction market sector.

Business Scope Expands from Four Segments to Five

The product line changes disclosed by the company show that prediction markets are not replacing existing businesses, but are being added on top of the existing technology platform. TTS stated that the new business sits alongside its infrastructure for forex, crypto assets, futures, and sports trading, allowing operators to handle trader accounts, challenge rules, risk monitoring, payment approvals, and branded front ends within a unified system.

Prediction markets usually use future real-world outcomes as trading objects, with participants buying and selling event contracts around economic data, political outcomes, sports events, cultural activities, or other public issues.Prediction Markets: Policy Issues for Congress, released by the U.S. Congressional Research Service on March 20, 2026, pointed out that event contracts are usually linked to whether a specific event occurs, and their prices may reflect the market’s assessment of the probability of an outcome.

Fifteen-Day Deployment Commitment and Product Structure

In materials released on May 18, 2026, TTS stated that its new prediction market product can help operators launch a fully branded platform within 15 days. The company combines this deployment cycle with institutional-grade infrastructure, automated workflows, and white-label delivery to shorten the preparation time required for operators to enter the market.

The new solution disclosed by the company includes nativeiOSand Android mobile applications. TTS said the mobile-first deployment model matches the way prediction market users currently use trading platforms. For operators, mobile is not only an account-opening entry point, but also supports trading alerts, market browsing, account evaluation, and payment status queries.

White-Label System and Mobile Apps Launched Together

The infrastructure package mainly consists of the following modules:

• White-labelCRMtechnology for managing accounts, client relationships, communication workflows, and operational data.

• Real-time risk management systems for identifying trading rule triggers, account risk exposure, and changes in evaluation conditions.

• Semi-automated payment processing functionality that retains manual approval while automatically assessing eligibility.

• Customizable trader dashboards for displaying challenge progress, account status, performance, and payment records.

• Challenge and evaluation logic for setting participation thresholds, performance conditions, loss limits, and passing criteria.

• Access to more than 80 payment processors to support global operators in handling payment needs across different regions.

Technology Stack Reuses the Existing Prop Trading Framework

According to TTS’s disclosure, operators can use the solution to deploy a platform with their own company branding while continuing to use the infrastructure TTS has already applied in the proprietary trading market. This infrastructure covers account creation, challenge rule configuration, trader data display, risk control triggers, payment approvals, and operator-side management.

The company also disclosed that its system supports integration with more than 20 trading platforms, includingMT4,MT5, cTrader, NinjaTrader, DXtrade, MatchTrader, and TradeLocker. For operators that want to cover multiple types of trading products at the same time, platform integration capability determines the technical boundaries of future product expansion.

Company Response and Market Background

TTS Partnerships Manager Stefano M said in the company press release that entering prediction markets is a strategic expansion of the TTS ecosystem. The company said prediction markets are growing rapidly, but some operators still lack the technology, automation, and scalable capabilities that are already more common in the forex and futures proprietary trading sectors.

Our move into prediction markets is a strategic expansion of the TTS ecosystem. The company has spent significant time analyzing the prediction market sector, understanding operator needs, and identifying infrastructure gaps. This market is growing rapidly, but many operators still lack the technology, automation, and scalability that have already become standard in the forex and futures proprietary trading sectors. TTS is bringing this infrastructure into prediction markets.

The timing of this release coincides with rising attention on prediction markets. Public information shows that platforms such as Polymarket and Kalshi have brought event contracts into broader public view, while retail trading platforms such as Robinhood have also established prediction market entry points. At the same time, regulatory discussions, suspicious trading monitoring, and insider information risks remain ongoing issues in this sector.

Regulation and Risk Control Remain Operational Priorities

Reuters reported on May 15, 2026 that suspicious trading increased on Kalshi and Polymarket in 2026, with both regulators and platforms paying greater attention to insider trading and abnormal activity. This backdrop explains why TTS emphasized real-time risk control, semi-automated payments, and manual approvals in its release materials, showing that infrastructure providers are treating risk control as one of the core components of prediction market operations.

For operators, launching a prediction market platform involves more than front-end display and account creation. A more complete operational process usually needs to proceed in the following order:

1. Confirm target regions, business model, and tradable event categories.

2. Complete configuration of the branded front end, trader dashboard, and mobile applications.

3. Set challenge rules, account evaluation logic, and risk limits.

4. Integrate payment processors and establish manual approval workflows.

5. Test data display, settlement paths, risk control triggers, and client support workflows before launch.

Global Availability and Follow-Up Points

The company press release stated that the prediction market infrastructure is now live and available to operators worldwide. TTS also emphasized that its enterprise-grade hosted infrastructure is supported byAWSand Cloudflare to improve scalability and service stability.

Based on the release information, TTS’s latest move mainly focuses on operator-side infrastructure rather than directly launching an independent prediction market exchange for end traders. Its commercial focus is helping existing or newly established proprietary trading brands launch prediction market products faster and manage accounts, payments, risk control, and trader experience through a unified backend.

Three key issues are worth watching next: first, whether the 15-day deployment cycle can be executed consistently across different jurisdictions, payment conditions, and product complexity levels; second, whether prediction market operators’ actual demand for mobile apps, risk control, and payment approvals will expand; and third, whether regulatory rule changes will affect operators’ configuration requirements for event contract categories, user eligibility, and trading monitoring.

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