Thesis AI 🤝 Robinhood Chain @RobinhoodCrypto @RobinhoodApp @vladtenev

Thesis AI Community Update Thank you to everyone who joined our events and continues to support Thesis AI. Here’s a recap of what we’ve built, what we’re improving, and what’s coming next. Our Singapore event brought valuable conversations with traders, founders, potential clients, and partners interested in what Thesis AI is building. As the main sponsor of Golden Soirée, we introduced the platform to new communities and established connections that we’re continuing to develop. Since then, work has continued across the product and our plans for growth. Buy/sell and limit orders are currently working, and we’re actively optimizing both to deliver a smoother, more reliable trading experience. Recent updates include: • Charting tools to support trading analysis. • A Max Buy button for market trades. • A smoother, more compact limit-order interface. • Additional trading routes on BNB Chain, supporting tokens paired with assets other than BNB. • Interface improvements and bug fixes based on user feedback. • Backend referral and trading-volume tracking to support community campaigns and qualifying rewards. We’re also optimizing the website for mobile, improving navigation and usability so users can research and trade more comfortably from their phones. More releases are on the way as we continue refining the platform. Thesis AI is moving toward cross-chain trading. Our goal is to let users trade across chains using one universal currency, reducing the need to manage separate balances and manually move funds between networks. This is a major part of our direction: making more trading opportunities accessible through one platform. Thesis copy trading is planned for release soon. This will give users another way to participate in the platform by following and copying other traders’ activity. We’ll share release details and instructions as it becomes available. Development of Cipher AI is also moving forward. We’re improving its ability to interpret market information, connect token narratives with wallet activity, and explain relevant signals and risks. In a future update, we plan to enable Cipher to execute trades automatically, bringing AI trading and further automation into the platform. Our longer-term goal is to connect research, monitoring, and execution in one experience. Behind the scenes, we’re working to establish several major partnerships, with announcements to follow as the details are finalized. We’re also developing new strategies to bring more active users onto Thesis AI through project launch collaborations, KOL and community partnerships, and referral incentives tied to qualifying trading activity. These initiatives are designed to introduce new traders to the platform and give them reasons to continue using it. We’re encouraged to see users actively trading on Thesis AI. Your activity, feedback, and bug reports help us understand what works and what needs attention and directly shape what we build next. Thank you for continuing to test, trade, and support the platform. We have more to deliver, and we’re looking forward to putting the next releases in your hands. Explore the latest updates at thesisai.family. Website: thesisai.family X: x.com/thesisai_family

Every trade provides an opportunity to learn, but only if you understand the patterns behind your decisions. Thesis AI automatically tracks trading activity, identifies recurring behaviors, and highlights where your strategies perform best. Turn past performance into valuable insights for future decisions. Look back. Learn from the data. Trade forward. Thesisai.family

A single profitable trade doesn’t prove a strategy works. Thesis AI provides signal history and backtesting data, helping traders evaluate performance beyond isolated results. Consistency matters more than screenshots. Real credibility is built over time. Track the signals. Verify the performance. Thesisai.family

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