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Home » Orbler and TradingBase AI Join Forces to Advance Web3 Trading

Orbler and TradingBase AI Join Forces to Advance Web3 Trading

Partnership aims to blend AI-driven insights with gamified user engagement

Kelly Cromley by Kelly Cromley
Jun 11, 2025
in Market News, News
Reading Time: 2 mins read
0
orbler web3 trading

Orbler, a next-generation Web3 marketing platform, has formed a strategic partnership with TradingBase AI, a data analysis service provider powered by artificial intelligence, to reshape how users engage with Web3 trading ecosystems. This alliance is positioned to merge predictive analytics with interactive marketing, with the goal of delivering smarter and more personalized trading experiences to a broader digital audience.

Combining AI Intelligence with Web3 Engagement

At the center of this collaboration is the integration of both companies’ core technologies. Orbler brings to the table its gamified user engagement and social marketing tools, which are specifically designed to strengthen interactions within Web3 communities and create a bridge between Web2 and Web3 platforms. In parallel, TradingBase AI contributes its real-time data analysis infrastructure, which specializes in AI-based trend forecasting, intelligent query processing, and custom trading strategy generation—particularly within the AI and decentralized physical infrastructure (DePIN) verticals.

The technical merger is expected to allow Orbler to embed TradingBase AI’s predictive analytics directly into its marketing campaigns and community engagement initiatives. This move will enable more precise targeting of user segments with educational content and trading insights that align with real-time market conditions and user behaviors.

Enhancing Learning and Participation

A notable feature of the collaboration is the incorporation of TradingBase AI’s custom trading strategies into Orbler’s gamified learning environment. This integration allows users to explore, practice, and potentially apply these strategies both in simulations and real-world trading scenarios. The educational component is designed not only to enhance user knowledge but also to increase participation and confidence in navigating Web3 markets.

Moreover, Orbler is expected to employ its marketing toolkit to drive traffic and interaction with TradingBase AI’s platform. Incentive programs will encourage users to participate in trading simulations, share feedback, and contribute to the refinement of AI algorithms. This feedback loop is intended to continuously improve TradingBase AI’s predictive capabilities while deepening user involvement.

🚀 Announcing the strategic partnership between @TradingBaseAI & Orbler!

TradingBaseAI’s big data & AI-powered platform fuels smart data queries, market trend predictions & tailored trading strategies in Web3’s DEPIN+AI space. Together, we unlock the future of intelligent… pic.twitter.com/bv6X63940t

— Orbler (@Orbler1) June 10, 2025


Tailored Strategies for Individual Users

The combination of TradingBase AI’s analytical tools with Orbler’s user data will enable the development of highly personalized educational modules and trading strategies. By analyzing behavioral patterns and market movements, the partnership aims to offer content and tools that are not only relevant but also actionable, further demystifying the Web3 trading environment for both new and experienced users.

The joint initiative is anticipated to serve as a catalyst for smarter trading systems that are accessible and intuitive. By harmonizing advanced AI functionality with interactive, user-focused marketing, the partnership seeks to make Web3 trading more approachable, especially for users who may find traditional platforms too complex or overwhelming.

This collaboration is viewed as a significant step toward mainstream adoption of Web3 technologies. By delivering actionable insights through engaging content, Orbler and TradingBase AI aim to attract new participants to the decentralized trading landscape while keeping existing users active, informed, and empowered.

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