Jason Chan is the founder, CEO, and Chief AI Product Architect of OlaXBT, a financial technology company focused on integrating artificial intelligence with blockchain trading. He has a background in the cryptocurrency industry, including a role at Binance, and is a vocal proponent of using AI to democratize access to sophisticated financial tools for retail investors. ^{[1] [2]}​

Career

Binance

Prior to founding OlaXBT, Jason Chan worked in strategy and operations at Binance Earn, the wealth management division of the cryptocurrency exchange Binance. During his tenure, he identified significant inefficiencies caused by "data silos," where information from different business lines was fragmented and difficult to integrate. This experience highlighted the challenges users faced in piecing together a comprehensive market view from disparate sources, which later became a core problem he aimed to solve with his own venture. Chan noted that at Binance, "data from different business lines was scattered like islands, and users had to manually piece together fragmented information.” This observation directly influenced his focus on data integration and holistic analysis in his subsequent work. ^[1]​

OlaXBT

As the founder, CEO, and Chief AI Product Architect, Chan leads OlaXBT's mission to enhance digital currency trading through the application of artificial intelligence. The project was conceived to address the disadvantages retail investors often face due to information delays and operational complexity. ^{[1] [2]}​

Founding and Vision

Chan founded OlaXBT with the vision of transforming the cryptocurrency trading experience into a seamless, conversational process accessible to a broader audience. He identified that many potential traders are deterred by the steep learning curve and complex interfaces of traditional exchanges, which are filled with complex charts and order books. His goal was to create a platform that acts as a "personal 24/7 smart trading assistant for everyone," effectively lowering the barrier to entry for sophisticated derivatives trading. ^[2]​

The project's target users are not complete novices but rather individuals with some trading foundation who are "burdened by manual operations." By combining the data transparency of blockchain with the decision-making power of AI, Chan aims to create a more equitable trading environment. He stated that the "democratization of finance truly begins" when these two technologies are effectively merged. His ultimate vision for the platform is to provide users with a sense of security driven by technology, not luck, allowing them to "sleep soundly amidst the Fluctuation." ^[1]​

Technology and Product Architecture

In his capacity as Chief AI Product Architect, Chan has overseen the development of OlaXBT as an AI-driven, intent-centric perpetuals decentralized exchange (DEX). The platform's architecture is built around a conversational AI terminal that leverages Large Language Models (LLMs) and Natural Language Processing (NLP). ^[2]​

A key innovation under Chan's direction is the "Question-as-Trade" capability. This feature allows users to state their trading goals in plain language, such as "can I buy BTC now?" The system's AI agent then provides a comprehensive analysis based on multiple data points and generates an actionable trade suggestion. If the user consents, the platform can execute the corresponding strategy via a smart contract. This "intent-centric" model parses a user's natural language request to understand the desired asset, direction, entry conditions, and risk parameters before formulating and executing the on-chain orders. ^{[1] [2]}​

The technological foundation of the platform is a proprietary framework called the Model Context Protocol (MCP). This protocol is designed for the deep integration of fragmented on-chain and off-chain data sources, including whale movements, options implied volatility, social media sentiment, and spot contangos from major exchanges. The platform's flagship AI agent, the AI Market Maker, uses this integrated data along with reinforcement learning to generate real-time alpha signals and trading recommendations. As of June 2025, the multi-factor analysis model used by the AI was reportedly in the process of a U.S. patent application. ^[1]​

Under Chan's architectural guidance, the OlaXBT team has also implemented a "triple protection" risk management system and a layered user experience mechanism. The risk system includes personalized strategy matching, a dynamic position limit that automatically reduces a user's over-leveraged exposure to a single losing position, and a "Liquidity Withdrawal" alert triggered by unusual whale movements. For user experience, the platform features a "Comfort Mode" with memes to ease anxiety for new users experiencing losses and requires users with low risk scores to complete instructional videos before trading. ^[1]​

The OlaXBT team, under Chan's leadership, includes professionals with diverse backgrounds, such as a former investment bank trader focused on low-latency systems and a quantitative analyst specializing in strategy backtesting. The team has also explored collaborations with Nasdaq to explore the tokenization of stocks. ^[1]​

Incubation and Partnerships

On December 11, 2023, OlaXBT (then referred to as Olas) was selected to join the Gate Web3 Startup incubation program. This partnership provided the project with technical, marketing, and financial support from Gate.io, including an initial grant and backing from Gate Ventures. This incubation offered OlaXBT access to the broader Gate.io ecosystem and potential listing opportunities. ^[2]​

Philosophy and Approach

Data-Driven Development

Chan advocates for a data-first approach in both product development and team management. He has stated that internal debates about product direction are resolved through empirical evidence rather than personal opinion. His guiding principle is: "Is there controversy? Then let the A/B test results speak for themselves every time." This methodology ensures that platform iterations are driven by user behavior and performance metrics, reflecting a commitment to objective, data-backed decisions. ^[1]​

Democratization of Finance

A central theme of Chan's work is the democratization of finance. He believes that the financial industry is moving toward a state where the "boundaries between traditional finance and DeFi will become more and more blurred." In his view, the combination of blockchain's transparent data layer with the efficient decision-making capabilities of AI is the key to achieving this vision. His efforts with OlaXBT are aimed at creating tools that empower individual investors to capture opportunities, such as cross-border exchange rate differences and derivatives pricing deviations, that were traditionally monopolized by large institutions. ^[1]​

Security Through Technology

Chan places a strong emphasis on providing users with a sense of security derived from robust technology rather than market luck. This philosophy is embedded in OlaXBT's product design, particularly its automated risk management features. By creating systems that can preemptively warn users of market dangers and limit their potential losses, Chan aims to build a platform where users can feel protected. He has articulated this by saying, "A sense of security comes from technology, not luck." ^[1]​

Public Appearances

On December 26, 2023, Chan participated in an X (formerly Twitter) Space Ask Me Anything (AMA) session hosted by Gate.io. During the event, he elaborated on OlaXBT's mission to simplify the trading experience. He described the project's goal, stating, "Our vision for Ola is to transform the trading experience into a seamless conversation, making it as easy as chatting with a friend." ^[2]​

On December 2, 2025, Chan participated in the Dubai RootData Forum, a key peripheral event for Binance Dubai Blockchain Week 2025. The forum, co-hosted by RootData, ChainCatcher, and Klickl, revolved around the theme of "Integration, Growth, and the New Crypto Cycle." Chan's attendance was announced on November 27, 2025, and he joined other industry leaders to discuss market trends and growth strategies. ^[3]​