Independent Investor | Founder, Zerion Research

Daniel Poling Wong

Daniel Poling Wong is an independent investor and founder of Zerion Research, an investment research methodology focused on identifying asymmetric opportunities arising from technological disruption, structural economic change, and long-duration shifts in productivity.

A full-time investor since 2020, Daniel has grown his personal investment capital approximately tenfold through a concentrated, research-intensive approach and currently manages a multi-million-dollar personal investment portfolio. Rather than constructing a portfolio primarily around incremental market outperformance, he searches for a small number of opportunities capable of producing 10x long-term outcomes.

His investment style combines two characteristics that may initially appear contradictory: conservative underwriting and aggressive conviction.

Daniel is highly sensitive to valuation, downside, and the price paid for an asset. However, when extensive research produces sufficient conviction and the prospective upside is materially asymmetric, he is willing to concentrate capital aggressively.

For him, concentration is not an investment objective in itself.

Investment Approach

Daniel’s investment process is built around understanding systems rather than attempting to forecast short-term market movements.

He studies technological development, regulation, capital flows, competitive positioning, demographics, productivity, incentives, and adoption in order to understand how value may migrate as an industry or economic system evolves.

His central questions are: What is changing? Why is it changing? How significant could that change become? Which companies or assets are structurally positioned to benefit? And is the potential return sufficiently disproportionate to the price being paid?

Alignment Over Brute Force

Markets are complex adaptive systems.

Rather than attempting to force a predetermined view onto the market, Daniel believes investors should identify powerful forces already in motion and position capital in alignment with them.

The objective is not to predict every price movement correctly. It is to understand the underlying system deeply enough to recognize when the market materially underestimates the scale of an emerging paradigm.

Investment Experience

One of Daniel’s formative public-market investments was Tesla, where he established a major position toward the end of 2019 during the Model 3 ramp.

His thesis was based partly on the belief that sustained operating improvement and several consecutive quarters of positive growth could materially change how institutional investors perceived the company, expanding the pool of capital willing to own the stock.

He subsequently established an early position in Palantir around its initial public-market valuation near $10.

The thesis grew partly from his professional experience in pharmaceuticals and financial services. Having observed substantial administrative inefficiency, duplicated processes, and organizational waste, Daniel believed that even relatively simple automation could meaningfully improve productivity. More advanced data systems and artificial intelligence, in his view, could produce substantially larger gains.

His other areas of conviction include digital assets, particularly Bitcoin and XRP.

Capital by Function

Daniel’s approach to capital allocation began with real estate.

While he was at university, a property purchased for him by his family in Macau appreciated approximately threefold by the time he graduated. The experience helped shape his early understanding of the relationship between income-producing assets, capital appreciation, and financial independence.

He subsequently developed his own framework for evaluating property investments, considering sustainable rental yield, financing cost, population and wage growth, tenant affordability, transportation infrastructure, and the commuting tolerance of the likely tenant base.

He currently owns income-producing real estate in Thailand.

Real estate performs a different role from his growth investments. Daniel describes this as Capital by Function.

Income-producing assets are intended primarily to provide cash flow, stability, and financial independence. Growth capital is reserved for a small number of high-conviction opportunities capable of producing exceptional long-term returns.

This separation reduces the need to liquidate long-duration investments to fund personal expenditure and allows growth capital greater time to compound.

Daniel applies the same framework to lifestyle decisions. A permanent increase in spending is treated not simply as an expense, but as a corresponding capital requirement. For example, an additional $10,000 per month of recurring expenditure represents $120,000 annually. At a sustainable 5% yield, approximately $2.4 million of productive capital would be required to support that expenditure without consuming principal.

His preference is therefore to allow productive assets to finance lifestyle expansion rather than allowing lifestyle expansion to consume productive capital.

Risk

Daniel does not regard volatility as synonymous with risk.

Price movements may contain information and can justify further investigation, but they do not by themselves determine whether an investment thesis remains valid.

He places greater emphasis on permanent capital loss, deterioration of the underlying thesis, and opportunity cost.

If the fundamental thesis changes, an investment should be reconsidered regardless of price. Conversely, if the thesis remains intact, temporary volatility alone is not sufficient reason to exit.

This leads to another important principle:

Research and Decision Making

Research forms the core of Daniel’s investment process. Because his return objective is unusually ambitious, he believes the required level of understanding must also be unusually high.

He therefore spends the majority of his investment time researching businesses, industries, technologies, and economic systems in depth.

His fluency in English, Cantonese, and Mandarin, together with a strong command of Japanese, broadens the range of primary and local-language information available to his research. It allows him to examine companies, markets, regulatory developments, and public discourse across Greater China, Japan, and international markets with less dependence on translated or secondary-source material.

Technical analysis plays a supporting role rather than serving as the principal source of conviction. Daniel also uses options strategies, including structures involving the sale of option premium, as tools for portfolio implementation and risk/reward management.

Ultimately, however, he does not believe important investment decisions can be reduced entirely to formulas. His decision-making process combines data, models, experience, and intuition.

Intuition Is Compressed Analysis

Daniel views high-quality intuition not as the absence of analysis, but as the eventual product of analysis that has become sufficiently internalized.

The weakness of intuition, in his view, arises not from intuition itself, but from using it without sufficient information, experience, or an adequate framework for distinguishing signal from noise.

Background

Daniel was born in Hong Kong and moved to Canada at the age of seven, where he completed his secondary education before returning to Hong Kong to study law.

He holds a Bachelor of Laws and Master of Laws from City University of Hong Kong, a Master of Transnational Law from Temple University Japan Campus, and a Master of Banking and Finance from National Sun Yat-sen University in Taiwan.

His professional background spans law, pharmaceutical operations, business development, financial regulation, and compliance.

Before becoming a full-time investor, Daniel worked in legal and commercial roles within the pharmaceutical industry and later in financial services, ultimately serving as Compliance Manager for a Hong Kong financial group overseeing regulatory matters relating to securities, futures, and asset-management activities.

Having lived, studied, and worked across Hong Kong, Canada, Japan, and Taiwan, Daniel’s perspective has been shaped by exposure to different economic systems, cultures, and institutional environments.

He relocated to Taiwan in 2024.

Zerion Research

Zerion Research currently serves as the methodology underlying Daniel’s personal investment process.

Its long-term objective is to develop into a systematic research platform and, potentially, an investment-management organization built around the same principles that guide his own capital allocation.

At its core are four ideas: