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Title: SBC Emerging Market Investment Practices Driven by AI and Quantitative Systems

1. Background: Technology-Based Asset Management Institution in Emerging MarketsIn an increasingly volatile global financial environment, more investment institutions are focusing on asset management approaches that combine technological capabilities with a deep understanding of local markets. AI-assisted strategy systems and region-specific market insights have now become important pillars in improving decision-making efficiency and the quality of risk control.Singapore Bhinneka Capital (SBC) was founded in 2012 and is headquartered in Singapore, holding an official license to carry out investment activities. Since its establishment, the company has consistently focused on the Asia-Pacific market, particularly Indonesia, and has built a systematic accumulation of strategies along with a strong network of local resources.Unlike traditional asset management institutions, SBC’s operational structure relies more on a self-developed AI-based quantitative system to create a closed-loop ecosystem, from strategy generation and backtesting analysis to trade execution. The platform currently serves a client base that includes regional fund managers as well as some international institutional investors. Its main appeal lies in its ability to effectively combine high automation with the uncertainties of local markets.Based on team interviews and external research findings, SBC’s development path illustrates an example of asset management practices following a “technology-based, regionally focused” model. In the context of an increasingly active Asia-Pacific investor structure and the fast pace of local policy changes, their capabilities in modeling and standardization provide a certain guarantee for operational efficiency, while also serving as an interesting example of quantitati...

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