Bitget Interview with Lin Wanwan: Capturing the Kondratiev Wave of Our Era, Understanding the “Trump Trade,” and Cross-Asset Investment Logic Across AI, Crypto, and U.S. Equities

Cryptocurrencies and U.S. equities may appear to be two entirely separate worlds—but increasingly, they converge in the portfolios of many investors. How can we apply traditional financial research frameworks to understand the crypto market? And how do we develop our own asset allocation logic across these two markets?

Today, we’re joined by Lin Wanwan. With a background in traditional financial research institutions, she entered the crypto industry after relocating to Singapore—a move that shifted her life’s center of gravity. Since then, she has deeply engaged with multiple domains: AI agents, crypto research, and U.S. equity investing. She is not an investor who profits from luck or short-term speculation; rather, she is a thinker who seeks high-conviction opportunities through rigorous research frameworks and cognitive arbitrage.

From Traditional Finance to a Committed Bitcoin Holder: The Long-Term Belief Behind “Buy the Dip”

Two pivotal moments led Lin Wanwan into the crypto industry:

The first was geographic: She moved to Singapore with her family, shifting her life’s focus there. As she rebuilt her social circle, she discovered that many longtime friends were OGs (original gangsters) in the crypto space. “After speaking with them, I realized just how captivating this industry truly is.”

She compared the ecosystems of traditional finance and crypto: “To be honest, traditional finance has lost some of its vitality. Many people dismiss crypto as rife with scams or shady dealings. But in crypto, I sensed people doing what they genuinely wanted—full of passion, moving boldly forward. That magnetism deeply resonated with me.”

The second catalyst was a book: Hodl Bitcoin, written by author Jiushen in 2018. The book precisely predicted Bitcoin would reach $100,000 around 2024–2025. “I happened to read it right around the time Bitcoin approached $100,000—and I thought, how could someone have made such an accurate forecast back in 2018?”

What moved her even more was the book’s long-term projection: that Bitcoin could reach ~$200,000 in 20 years. “Whether or not that actually happens, I don’t know. But the trend is clearly moving in that direction. If you believe Bitcoin could one day rival gold in value, why not start accumulating it as part of your asset allocation? It may even deliver better returns than gold.” Later, she reviewed Michael Saylor’s keynote speech at the Bitcoin Conference—and found his logic identical. Saylor stated: Buying Bitcoin between 2022 and 2025 is like buying land in New York in 1790.

“Although many think Bitcoin at tens of thousands of dollars is already expensive, historically speaking, it remains extremely early-stage.”

These two converging catalysts propelled her fully into crypto—and crystallized her core Bitcoin holding philosophy: “Hold coins, but don’t obsess over them. Regardless of price, ask first whether you hold any—then consider how much.”

Regarding Bitcoin’s short-term volatility, she maintains exceptionally clear psychological discipline. “I manage my Bitcoin position using a ‘buy-the-dip’ strategy. The capital allocated here is money I won’t need for several years. And the lower the price drops, the happier I am—because I can acquire more BTC with the same amount of funds.”

She even voiced a statement that surprises many: “I’m grateful when it falls. Personally, I believe it still has room to decline in the near term—and that’s fine—I’ll keep buying.”

This mindset reflects deep conviction in Bitcoin’s long-term value—not the gambler’s hope for short-term wins.

AI, Crypto, and U.S. Equities: Three Tracks, One Answer—Why AI Is the Most Critical Investment Theme Today

When asked how her traditional finance background shaped her crypto investment journey, Lin Wanwan began with the word “perspective”: “Finance gave me above all a *perspective*. Artists have their perspective; philosophers have theirs; investing is another vital one.” She offered a vivid example: “Before adopting an investment lens, I’d look at a bubble tea and simply ask, ‘Does it taste good?’ After applying that lens, I’d analyze rent costs, labor expenses—my entire way of observing changes.”

Equipped with this framework, she formed a sharp assessment of today’s market landscape: AI is the most critical theme of our era—and it is not three separate things from crypto or U.S. equities.

Her Twitter bio lists four keywords: AI Agent, Crypto Research, U.S. Equities, Prediction Markets. When asked which area she’s prioritizing most this year, her answer was direct: “AI is now top priority.” Yet she stresses these four areas cannot be viewed in isolation—especially the first three, which are mutually reinforcing and overlapping.

She explains her reasoning: During this bear market, crypto is undergoing a narrative shift—increasingly functioning as AI’s underlying computational and ledger infrastructure, losing some of its independence. Meanwhile, more crypto-related companies are listing on U.S. exchanges, and Nasdaq itself is advancing tokenization of U.S. equities. All three directions are converging into one. “So my largest U.S. equity allocation is AI-related. My AI research and learning directly serve my U.S. equity investment strategy.”

To support this view, she cites the late Chinese chief economist Zhou Jintao: “Wealth in life depends on the Kondratiev wave. Whether you make money doesn’t hinge primarily on effort—it hinges on whether you catch the macro-trend your era offers. You may get only three to five such opportunities in your lifetime—and that’s plenty.”

In her view, AI is the open window of our time—akin to Beijing’s Second Ring Road real estate 20 years ago, or Apple stock two decades ago. “Buying the iPhone 20 years ago wasn’t crucial—but buying Apple stock was. Today, we must ask: In this AI era, what is the ‘Apple of 20 years ago’?”

Finding that answer is precisely what she continues seeking—using traditional financial research lenses—at the intersection of crypto and U.S. equities.

Understanding the ‘Trump Trade’: Finding Entry Points Amid Others’ Panic

Asked about recent profitable investments, Lin Wanwan highlighted her bottom-fishing during last year’s tariff tensions and this year’s war-related market lows—particularly her purchase of NVIDIA around $93 last year.

The rationale behind both moves traces back to her research on Trump *before* he assumed office and *before* the tariff war escalated:

First, she re-examined market reactions during Trump’s prior presidential term. “Trump’s nickname is ‘The Know-It-All.’ Fundamentally, he possesses an exceptional understanding of the U.S. equity market. I revisited how markets reacted to his policies during his last term—tariffs triggered sharp selloffs, followed by powerful rebounds.”

Second, she read Trump’s autobiography—and identified two defining traits: First, he habitually exaggerates deliberately, using ‘reasonable falsehoods’ as negotiation tools; second, he masterfully substitutes rhetoric for policy action to achieve equivalent outcomes. “When he manipulates markets with language like this, he’s actually giving you a chance to get on board.”

Last March and April, rumors circulated of a “once-in-a-century Great Depression akin to 1929.” Lin Wanwan dismissed this outright. “I see this as Trump’s gift to us. Whether you’re a short-term trader or a medium-term investor—you should thank Trump. The volatility he artificially creates gives traders abundant opportunities to profit on the upside.”

She distilled her operational logic into one principle: “Buy the rumor, sell the news—and sell based on certainty.” Trump-induced uncertainty, paradoxically, signals entry.

Crypto Is Zero-Sum; U.S. Equities Are Win-Win—Lin Wanwan’s Investment Q&A

What single asset do you currently favor most?

NVIDIA. I believe it could become the ‘Apple of 20 years ago’—so for me, it’s a long-term hold, my core position. I have genuine conviction in it.

But NVIDIA hasn’t performed spectacularly this year—it’s been range-bound. Does that shake your confidence?

Indeed, it’s traded sideways between $170 and $200 for months—a true test of patience. Precisely because of this, my stance toward NVIDIA differs from other hot sectors: For others, I might trade more actively—selling high. But for NVIDIA, I retain a long-term position—untouched by short-term consolidation. A core position is a core position. Short-term stagnation shouldn’t erode belief.

If you had $1 million to allocate today, how would you distribute it?

I’d first ask myself three questions: What’s the liquidity requirement for this capital? Will I need it within the next few years? Is my overall allocation framework already established? And—does the market offer abundant opportunities now, or does my personal alpha stand a strong chance of outperforming the market?

Applying this framework, my current actual allocation is roughly: 40% in crypto—with Bitcoin as the core anchor; 30% in U.S. equities; and 30% held in cash.

I hold so much cash because I believe significant market volatility remains likely—including the fact that U.S. equities are currently near highs. Cash is ammunition: When a real downturn hits, you won’t be fully invested and left powerless before the next major opportunity. With bullets in hand, you can act calmly while others panic.

For investors transitioning from crypto to U.S. equities, what conceptual shifts do you recommend?

I once asked a friend why he avoided U.S. equities. His reply: “My counterparty would be Buffett and Duan Yongping—I feel I can’t win.” That response struck me: The cognitive gap between crypto and U.S. equity mindsets is truly vast.

Crypto is zero-sum: You win by taking others’ money. U.S. equities aren’t like that—it’s a longer-term, collaborative game. When Buffett profits, I can too. We can learn from their methodologies and profit together. U.S. equity markets are massive; institutional players don’t even notice small retail capital. With sound methodology and patience, ordinary investors can achieve stable, reliable results.

How should one practically begin investing in U.S. equities?

I recommend a two-step approach.

Step one: Invest time learning the overarching investment framework—understand what drives stock prices: macro environment, corporate earnings, industry fundamentals. These are the bedrock—don’t skip them.

Step two: Learn about CFDs (Contracts for Difference) and how they amplify leverage in U.S. equities. CFDs suit event-driven short-term trading well—for instance, capturing short-term rallies following confirmed peace talks. Using modest capital with leverage to capture such high-probability events delivers excellent risk-adjusted returns. Platforms like Bitget—already offering CFDs—may well spawn star traders specializing exclusively in news-event trading.