AM Management Presents at Korea Investment & Securities Expert Seminar
Summary
- AM Management announced at the Korea Investment & Securities seminar the importance of virtual asset investment strategies combining on-chain data and AI analysis.
- Tech lead Jeong Sun-yong emphasized that on-chain data enables real-time tracking of investor actions and fund flows, distinguishing it from conventional traditional financial data in assessing market volatility.
- Jeong stated that the analysis pipeline of on-chain data and AI is being practically applied for detecting market risk signals and generating alpha.

AM Management, an AI-based quant solution company, announced on the 19th that it gave a presentation titled 'Virtual Asset Outlook Through Data' at an expert seminar hosted by Korea Investment & Securities Co., Ltd.
This seminar followed the previous solo seminar at Hana Securities' headquarters and was organized to share the importance of virtual asset investment strategies using on-chain data and AI analysis with institutional investors in the traditional financial sector.
Jeong Sun-yong, the tech lead at AM Management who gave the presentation, emphasized the unique value of on-chain data. Jeong explained, "On-chain data, directly extracted from blockchain networks, tracks investor behavior and fund flows in real time, providing market visibility and forward-looking insights that distinguish it from traditional financial data."
He cited recent key market indicators such as ▲stablecoin flows ▲institutional and corporate wallet activities ▲liquidity movements between virtual asset exchanges and DeFi (decentralized finance). He added, "On-chain data provides sources of risk signals and new alpha that traditional market data cannot capture. Analyzing large-scale wallet transfers or exchange fund movements is a powerful tool to predict market volatility and changes in investor sentiment ahead of time."
In particular, the synergy between on-chain data and AI technologies was discussed in depth. He noted that, through AI, sophisticated analyses such as ▲data labeling ▲anomaly flow detection ▲time series pattern analysis are possible. He also shared cases of an analytical pipeline that connects wallet attribute labeling, key event extraction, and investment strategy linkage, stating, "Quantifying on-chain events as lead-lag indicators or using stablecoin inflows to measure risk appetite is already actively used in the industry."
Tech lead Jeong Sun-yong concluded, "At a time when the virtual asset market is moving toward institutional integration and greater institutional participation, data-driven decision-making is no longer a choice but a necessity. The convergence of on-chain data and AI will offer investors opportunities on a new level," he said.

Uk Jin
wook9629@bloomingbit.ioH3LLO, World! I am Uk Jin.


![[Market] Bitcoin steadies after 'wash shock'…reclaims the $79,000 level](https://media.bloomingbit.io/PROD/news/2d67445a-aa24-46b9-a72d-5d98b73b6aec.webp?w=250)
![[Today’s Key Economic & Crypto Calendar] Atlanta Fed GDPNow, More](https://media.bloomingbit.io/static/news/brief_en.webp?w=250)