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Steven Tan

Steven Tan

Head of Data and Co-founder, Hoc-Trade

Mathematician and behavioral finance researcher. Writes on pattern detection methodology, data analysis, and the structure of trader behavior across markets.

At Hoc-Trade since 2021Based in New York, Taipei1 article published

Steven Tan is the Head of Data and co-founder of Hoc-Trade. He leads the design of the behavioral detection algorithms that power TradeMedic, oversees the data pipeline that ingests and analyzes trading history from 500,000+ retail accounts, and directs the statistical methodology behind TradeMedic Research's published findings.

Steven brings a deep academic and practitioner background in behavioral finance. He holds a Bachelor in Mathematics and a Master in Economics and Finance, and pursued doctoral research at IESE Business School focused on behavioral finance and network theory.

Before Hoc-Trade, Steven worked in high-frequency trading and market making at a cryptocurrency exchange, where he built execution infrastructure, microstructure models, and risk controls for automated trading at scale. This combination of academic depth and production trading experience shapes how TradeMedic's algorithms are designed: research-grade rigor translated into infrastructure that runs against real trader accounts daily.

At Hoc-Trade, Steven works most closely with the data and backend engineering teams, and collaborates with Jonas Schleypen (CEO) on research methodology and the transparency of published findings.

Areas of expertise
Trading Psychology
Credentials
  • PhD candidate Behavioral Finance and network theoryIESE Business School
  • Master in Economics and FinanceUniversity of Navarra
  • Bachelor in MathematicsNational Taiwan Normal University
  • High-Frequency Trading and Market MakingCrypto Trading - Nogle Ltd

Articles by Steven

Risk-Reward Ratio vs Win Rate: Which Matters More?

Traders argue over risk-reward ratio versus win rate using made-up examples. We checked 500,000+ real accounts. Risk-reward separates the profitable from the rest more sharply than win rate, and most traders sit on the wrong side of it.

Press, research, and media inquiries

For press inquiries, interview requests, podcast bookings, or citation of published research, please contact research@hoc-trade.com. For broker partnership inquiries, contact partnerships@hoc-trade.com.