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SHANGHAI, Dec. 18, 2025 /PRNewswire/ -- FinVolution Group, a leading credit technology company, recently hosted a closed-door technology forum themed "New AI Paradigms: The Core Logic Driving Future Development," bringing together more than 20 leading scholars from the artificial intelligence field for in-depth dialogue. The discussion focused on how AI technologies are evolving from standalone tools into systemic capabilities and fundamentally reshaping fintech business models.
Scholars from top universities including Tsinghua University, Fudan University, Beijing Jiaotong University, and Beijing Normal University shared insights on the application of large models across different industries and research domains. Discussions centered on industry–academia collaboration and interdisciplinary innovation, covering cutting-edge topics such as AI detection, data mining, and knowledge graphs.
Professor Jie Tang of Tsinghua University offered a forward-looking perspective grounded in both frontier research and the historical evolution of technology, outlining potential development paths and key trends that may define the future of artificial intelligence from a macro-level viewpoint.
At the forum, Yuxiang Wang, Chief Operating Officer and Chief Technology Officer of FinVolution, shared the company's latest AI practices. He noted that the essence of the new AI paradigm lies in technology's deep integration with core business logic, which requires a systematic reconstruction of underlying architectures rather than the simple addition of model capabilities.
Based on this understanding, Wang introduced FinVolution's AI development framework. Built on top of its hardware infrastructure, the company has established a centralized model layer, resource layer, and application layer. By integrating commercial large models with proprietary models, FinVolution has developed a business-oriented agent platform that enables AI to directly participate in key functions such as risk management, customer service, and operations. FinVolution's multilingual intelligent assistant, Blu, is now deployed across nine countries, handling more than five million interactions per day, demonstrating how AI can systematically empower business at scale.
"In an era where large AI models are transforming every industry, fintech companies should not view AI merely as an efficiency tool," Wang said. "Instead, AI applications need to evolve from discriminative to generative, and from isolated decision-making to end-to-end perception and decision systems."
During the forum, FinVolution also announced the official launch of the research and compilation of its upcoming white paper, "Intelligent Leadership Goes Global: The Evolution of AI in Fintech." Centered on FinVolution's international expansion experience, the white paper will systematically summarize practical approaches to embedding AI into core business operations across diverse markets and regulatory environments. It will place particular emphasis on the application of multimodal large models in cross-border customer acquisition, risk identification, and operational decision-making.
Lei Chen, Vice President of FinVolution, said the white paper represents a consolidation of the company's global, real-world experience as well as a set of practical and replicable technical methodologies. "By grounding our analysis in real international business scenarios, we aim to clarify how AI can be applied, how far it can go, and where its boundaries lie, providing the industry with a reference that balances innovation and compliance," he said.
SHANGHAI, Dec. 18, 2025 /PRNewswire/ -- FinVolution Group, a leading credit technology company, recently hosted a closed-door technology forum themed "New AI Paradigms: The Core Logic Driving Future Development," bringing together more than 20 leading scholars from the artificial intelligence field for in-depth dialogue. The discussion focused on how AI technologies are evolving from standalone tools into systemic capabilities and fundamentally reshaping fintech business models.
Scholars from top universities including Tsinghua University, Fudan University, Beijing Jiaotong University, and Beijing Normal University shared insights on the application of large models across different industries and research domains. Discussions centered on industry–academia collaboration and interdisciplinary innovation, covering cutting-edge topics such as AI detection, data mining, and knowledge graphs.
Professor Jie Tang of Tsinghua University offered a forward-looking perspective grounded in both frontier research and the historical evolution of technology, outlining potential development paths and key trends that may define the future of artificial intelligence from a macro-level viewpoint.
At the forum, Yuxiang Wang, Chief Operating Officer and Chief Technology Officer of FinVolution, shared the company's latest AI practices. He noted that the essence of the new AI paradigm lies in technology's deep integration with core business logic, which requires a systematic reconstruction of underlying architectures rather than the simple addition of model capabilities.
Based on this understanding, Wang introduced FinVolution's AI development framework. Built on top of its hardware infrastructure, the company has established a centralized model layer, resource layer, and application layer. By integrating commercial large models with proprietary models, FinVolution has developed a business-oriented agent platform that enables AI to directly participate in key functions such as risk management, customer service, and operations. FinVolution's multilingual intelligent assistant, Blu, is now deployed across nine countries, handling more than five million interactions per day, demonstrating how AI can systematically empower business at scale.
"In an era where large AI models are transforming every industry, fintech companies should not view AI merely as an efficiency tool," Wang said. "Instead, AI applications need to evolve from discriminative to generative, and from isolated decision-making to end-to-end perception and decision systems."
During the forum, FinVolution also announced the official launch of the research and compilation of its upcoming white paper, "Intelligent Leadership Goes Global: The Evolution of AI in Fintech." Centered on FinVolution's international expansion experience, the white paper will systematically summarize practical approaches to embedding AI into core business operations across diverse markets and regulatory environments. It will place particular emphasis on the application of multimodal large models in cross-border customer acquisition, risk identification, and operational decision-making.
Lei Chen, Vice President of FinVolution, said the white paper represents a consolidation of the company's global, real-world experience as well as a set of practical and replicable technical methodologies. "By grounding our analysis in real international business scenarios, we aim to clarify how AI can be applied, how far it can go, and where its boundaries lie, providing the industry with a reference that balances innovation and compliance," he said.
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
FinVolution Hosts Closed-Door Forum with Leading Academics to Explore New AI Paradigms
FinVolution Hosts Closed-Door Forum with Leading Academics to Explore New AI Paradigms
FinVolution Hosts Closed-Door Forum with Leading Academics to Explore New AI Paradigms
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PANAMA CITY, Dec. 18, 2025 /PRNewswire/ -- HTX Research, the dedicated research arm of leading global crypto exchange HTX, has released a new report titled The Pre-Market Asset Trading Ecosystem: Mechanism Evolution, Market Structure, and Future Trends Behind Its Multi-Billion Scale. The report provides a systematic analysis of how pre-market trading has emerged, how different asset structures function before a Token Generation Event (TGE), and how this ecosystem is reshaping project launches and exchange listing pathways.
The study focuses on a trend that is becoming increasingly visible across the crypto industry: as fundraising becomes more difficult and token issuance timelines stretch out, trading activity before TGE is evolving from fragmented experimentation into a distinct "1.5-level market" sitting between the primary and secondary markets.
From the Pre-TGE "Vacuum" to a New Market Layer
According to the report, the rise of the pre-market ecosystem is closely tied to structural shifts following the market downturn that began in late 2022. With primary market funding tightening and issuance cycles extending, many projects turned to points systems, airdrop expectations, testing access, and early participation programs to sustain operations and community engagement before launching a token.
At the same time, issuance costs fell and token creation tools lowered barriers dramatically, leading to a surge in the number of new tokens and a constant dilution of market attention. In this environment, attention itself became a scarce resource. Pre-market trading mechanisms—built around future value, expectations, and redeemable rights—naturally emerged, forming an "in-between layer" that previously existed largely behind closed doors between venture funds and exchanges. This layer is now widely referred to as the Pre-Market, or the 1.5-level market.
Three Asset Types Defining the Pre-Market Ecosystem
HTX Research categorizes pre-market assets into three core types by how their future value is anchored.
Token-value-anchored assets revolve around future token prices and include pre-market OTC transactions, pre-market spot trading, and pre-market perpetual futures. These assets are most directly linked to post-listing spot markets and concentrate on early price discovery.
Points-anchored assets are built around user behavior points that later map to airdrops. Through OTC trading and yield-splitting mechanisms, points increasingly function as early expressions of assetized expectations under today's airdrop-driven tokenomics.
Rights-anchored assets package future redeemable rights—such as whitelist access, early participation slots, or future token allocations—into tradable forms like NFTs, access passes, or BuildKey-style vouchers. These structures transform non-standard entitlements into marketable claims.
Together, these three types cover the full chain from user contribution and market expectation to entitlement assignment and final settlement, turning the pre-market into a multi-layered system rather than a single speculative tool.
HTX's Practice on Pre-Market Perpetual Futures
As demand has grown, pre-market trading has expanded beyond OTC and spot formats into derivatives. Pre-market perpetual futures allow users to express leveraged views on a token's future price before it is listed, pushing price discovery further forward in time. According to the report, pre-market perpetuals have already become one of the highest-volume pre-market trading formats.
In this context, HTX launched a WLFI/USDT pre-market perpetual futures ahead of WLFI (World Liberty Financial)'s official listing. This allowed users to participate in price discovery and manage risk prior to TGE, illustrating a broader trend identified in the report: exchanges are extending their role from the listing moment into the pre-issuance phase, making pre-market trading an increasingly important part of exchange product systems.
Scale Potential and Structural Challenges
The pre-market has already reached a meaningful scale. For major projects, pre-market trading can easily generate hundreds of millions of dollars in turnover, while flagship names such as WLFI and Monad have seen cumulative pre-market volumes exceed $1 billion. As a result, the pre-market has become a stable multi-billion-dollar segment with room to expand further.
At the same time, clear structural risks remain. Liquidity is naturally thinner, prices can be moved by large players, and settlement often depends heavily on project teams. Information asymmetry is persistent, and different asset types still lack unified standards for rules, settlement, and risk allocation. Whether the pre-market can continue scaling will depend on its ability to move from an opportunity-driven market toward more institutionalized and coordinated structures.
Conclusion
HTX Research concludes that pre-market trading is not a temporary phenomenon. Driven by changes in funding conditions, user participation models, and exchange product design, it is reshaping how projects launch tokens, how exchanges structure listings, and how users engage with early-stage markets.
As the pre-market evolves from a grey zone before issuance into a core layer connecting primary and secondary markets, it is likely to become a long-term, increasingly institutionalized feature of the crypto market landscape.
About HTX Research
HTX Research is the dedicated research arm of HTX Group, responsible for conducting in-depth analyses, producing comprehensive reports, and delivering expert evaluations across a broad spectrum of topics, including cryptocurrency, blockchain technology, and emerging market trends. Committed to providing data-driven insights and strategic foresight, HTX Research plays a pivotal role in shaping industry perspectives and supporting informed decision-making within the digital asset space. Through rigorous research methodologies and cutting-edge analytics, HTX Research remains at the forefront of innovation, driving thought leadership and fostering a deeper understanding of evolving market dynamics. Visit us.
PANAMA CITY, Dec. 18, 2025 /PRNewswire/ -- HTX Research, the dedicated research arm of leading global crypto exchange HTX, has released a new report titled The Pre-Market Asset Trading Ecosystem: Mechanism Evolution, Market Structure, and Future Trends Behind Its Multi-Billion Scale. The report provides a systematic analysis of how pre-market trading has emerged, how different asset structures function before a Token Generation Event (TGE), and how this ecosystem is reshaping project launches and exchange listing pathways.
The study focuses on a trend that is becoming increasingly visible across the crypto industry: as fundraising becomes more difficult and token issuance timelines stretch out, trading activity before TGE is evolving from fragmented experimentation into a distinct "1.5-level market" sitting between the primary and secondary markets.
From the Pre-TGE "Vacuum" to a New Market Layer
According to the report, the rise of the pre-market ecosystem is closely tied to structural shifts following the market downturn that began in late 2022. With primary market funding tightening and issuance cycles extending, many projects turned to points systems, airdrop expectations, testing access, and early participation programs to sustain operations and community engagement before launching a token.
At the same time, issuance costs fell and token creation tools lowered barriers dramatically, leading to a surge in the number of new tokens and a constant dilution of market attention. In this environment, attention itself became a scarce resource. Pre-market trading mechanisms—built around future value, expectations, and redeemable rights—naturally emerged, forming an "in-between layer" that previously existed largely behind closed doors between venture funds and exchanges. This layer is now widely referred to as the Pre-Market, or the 1.5-level market.
Three Asset Types Defining the Pre-Market Ecosystem
HTX Research categorizes pre-market assets into three core types by how their future value is anchored.
Token-value-anchored assets revolve around future token prices and include pre-market OTC transactions, pre-market spot trading, and pre-market perpetual futures. These assets are most directly linked to post-listing spot markets and concentrate on early price discovery.
Points-anchored assets are built around user behavior points that later map to airdrops. Through OTC trading and yield-splitting mechanisms, points increasingly function as early expressions of assetized expectations under today's airdrop-driven tokenomics.
Rights-anchored assets package future redeemable rights—such as whitelist access, early participation slots, or future token allocations—into tradable forms like NFTs, access passes, or BuildKey-style vouchers. These structures transform non-standard entitlements into marketable claims.
Together, these three types cover the full chain from user contribution and market expectation to entitlement assignment and final settlement, turning the pre-market into a multi-layered system rather than a single speculative tool.
HTX's Practice on Pre-Market Perpetual Futures
As demand has grown, pre-market trading has expanded beyond OTC and spot formats into derivatives. Pre-market perpetual futures allow users to express leveraged views on a token's future price before it is listed, pushing price discovery further forward in time. According to the report, pre-market perpetuals have already become one of the highest-volume pre-market trading formats.
In this context, HTX launched a WLFI/USDT pre-market perpetual futures ahead of WLFI (World Liberty Financial)'s official listing. This allowed users to participate in price discovery and manage risk prior to TGE, illustrating a broader trend identified in the report: exchanges are extending their role from the listing moment into the pre-issuance phase, making pre-market trading an increasingly important part of exchange product systems.
Scale Potential and Structural Challenges
The pre-market has already reached a meaningful scale. For major projects, pre-market trading can easily generate hundreds of millions of dollars in turnover, while flagship names such as WLFI and Monad have seen cumulative pre-market volumes exceed $1 billion. As a result, the pre-market has become a stable multi-billion-dollar segment with room to expand further.
At the same time, clear structural risks remain. Liquidity is naturally thinner, prices can be moved by large players, and settlement often depends heavily on project teams. Information asymmetry is persistent, and different asset types still lack unified standards for rules, settlement, and risk allocation. Whether the pre-market can continue scaling will depend on its ability to move from an opportunity-driven market toward more institutionalized and coordinated structures.
Conclusion
HTX Research concludes that pre-market trading is not a temporary phenomenon. Driven by changes in funding conditions, user participation models, and exchange product design, it is reshaping how projects launch tokens, how exchanges structure listings, and how users engage with early-stage markets.
As the pre-market evolves from a grey zone before issuance into a core layer connecting primary and secondary markets, it is likely to become a long-term, increasingly institutionalized feature of the crypto market landscape.
About HTX Research
HTX Research is the dedicated research arm of HTX Group, responsible for conducting in-depth analyses, producing comprehensive reports, and delivering expert evaluations across a broad spectrum of topics, including cryptocurrency, blockchain technology, and emerging market trends. Committed to providing data-driven insights and strategic foresight, HTX Research plays a pivotal role in shaping industry perspectives and supporting informed decision-making within the digital asset space. Through rigorous research methodologies and cutting-edge analytics, HTX Research remains at the forefront of innovation, driving thought leadership and fostering a deeper understanding of evolving market dynamics. Visit us.
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
HTX Research Releases New Report on How the Pre-Market Ecosystem Is Reshaping Token Launches
