Did you know? A little-known Taiwanese company has emerged as one of the world's top 10 cryptocurrency market makers and ranks among the top three liquidity providers for trading pairs globally. In 2023 alone, their annual trading volume reached $300 billion (approximately NT$9.7 trillion), with projections to exceed $500 billion (around NT$16.15 trillion) this year!
This homegrown quantitative trading firm—Quantrend Technology—has achieved remarkable success within just two years of its founding. Leveraging cutting-edge AI technology to develop superior trading strategies, they've earned the nickname "the Wolf of Wall Street" of crypto circles.
Co-founder Tai-Yuan Chen is a prominent figure in Taiwan's crypto space, having previously co-founded the cryptocurrency exchange Cobinhood—once hailed as a potential industry unicorn. Their CTO Chih-Yang Tai is equally renowned in tech circles as the co-founder of PTT, Taiwan's largest online community.
Together, these two visionaries are reshaping perceptions of cryptocurrency trading—moving beyond the speculative mania, ICO scams, and fund mismanagement scandals (like FTX) that have plagued the industry. Their approach combines AI-driven strategies with rigorous risk management to compete against global financial heavyweights.
Building Sustainable Cryptocurrency Market Strategies
Despite Bitcoin's 14-year history, the crypto market remains notoriously volatile—where "one day in crypto equals one year in traditional markets." This extreme fluctuation often attracts speculators rather than long-term investors.
But must crypto markets rely solely on speculative trading? Can more sustainable profitability models exist?
"While emerging trends create wealth opportunities through capital inflows, the hype cycles around coin speculation and NFTs have taught us that cryptocurrency needs industrial-grade development," explains Chen.
Founded in 2020, Quantrend adopts strategies similar to Renaissance Technologies LLC—using AI-powered quantitative models based on mathematical and statistical analysis. They operate dual models: proprietary trading for direct profits and institutional-grade investment products with managed risk.
How Risk Management Works in Volatile Markets
By employing market-neutral strategies, Quantrend hedges positions—holding both long and short positions to offset risks while using predictive AI models to identify price differentials between assets. This generates alpha returns from spread differentials.
"Superior predictive models and faster, more accurate judgments determine alpha returns—this is our competitive edge," says Chen.
CTO Tai highlights another industry challenge: low barriers to crypto financial products encourage reckless leverage (like 100x perpetual contracts) rather than spot trading.
Quantrend's innovation? A hybrid service combining high-frequency trading advantages with long-term holding benefits:
- Clients deposit Bitcoin spot holdings
- Quantrend "mirrors" these into trading allocations
- AI executes portfolio-based arbitrage strategies
- Immediate Bitcoin repurchases after each trade settlement
This ensures spot holdings grow in both value and quantity—demonstrating that sustainable crypto business models can thrive without speculative or gray-area tactics.
Technological Moats That Financial Giants Struggle to Breach
With Bitcoin and Ethereum spot ETFs gaining regulatory approval, institutional crypto adoption accelerates. But can traditional finance giants dominate this space?
Tai argues otherwise: "Crypto introduces novel concepts like perpetual contracts and cloud-based exchanges—radically different from traditional finance's physical infrastructure requirements. Large institutions lack teams proficient in trading, crypto, and AI simultaneously—our core competencies."
Retail Investors: Don't Compete Against Trading Bots
As cryptocurrencies gain mainstream acceptance—even becoming investment holdings for firms like Goldman Sachs and J.P. Morgan—how should retail investors participate?
Both Chen and Tai offer blunt advice: "Never compete against trading bots! AI learns from retail traders' behavioral patterns—we profit from human psychology. We're the wolves; don't walk into the den as sheep."
Their recommendations for retail investors:
- Dollar-cost averaging to smooth price volatility
- Gradual sell-offs near market peaks
- "If you can't beat them, join them"—partner with reliable market makers
By securing its position among the world's top crypto market makers, Quantrend proves that sustainable, technology-driven models can enhance market efficiency—offering fair pricing for retail traders while enabling legitimate market-making profits.
👉 Discover how institutional-grade crypto trading works
FAQ
Q: How does Quantrend's AI differ from traditional trading algorithms?
A: Their models integrate machine learning with crypto-specific volatility patterns and liquidity dynamics—continuously adapting to market microstructure changes.
Q: What prevents large financial institutions from replicating Quantrend's strategies?
A: Legacy systems and regulatory constraints slow institutional adaptation to crypto's 24/7 cloud-native environment, creating opportunities for agile specialists.
Q: Is dollar-cost averaging really effective in crypto's volatile markets?
A: Historical data shows disciplined DCA outperforms timing attempts over full market cycles—though portfolio allocation limits remain crucial.