Dr. Sarah Chen, Ph.D.
Ph.D. in Financial Mathematics and Senior Quantitative Strategist. Expert in stochastic volatility modeling, 14-period Wilder RSI smoothing, MVRV Z-Scores, and capital preservation mathematics.
- Ph.D. in Financial Mathematics & Applied Probability
- Author of peer-reviewed papers on volatility clustering in digital assets
- Architect of the BitcoinCrypto Dynamic Position Sizing Calculator
- Lecturer on Quantitative Risk Management & On-Chain Valuation
About Dr. Sarah Chen, Ph.D.
Dr. Sarah Chen leads quantitative statistical modeling and risk architecture at BitcoinCrypto.tech. Holding a Ph.D. in Financial Mathematics and Applied Probability, Dr. Chen's academic and professional work centers on non-linear price distributions, stochastic calculus, and mathematical capital preservation strategies in highly volatile asset classes.
At BitcoinCrypto.tech, Dr. Chen oversees the statistical calibration of the 6-pillar confluence scoring model, Wilder's smoothed Relative Strength Index (RSI), Average True Range (ATR) dynamic volatility bands, and harmonic-mean dollar-cost averaging formulas.
Dr. Chen is a passionate advocate for financial literacy and mathematical risk management, emphasizing that long-term survival in digital asset markets depends strictly on position sizing formulas (such as the Kelly Criterion and maximum drawdown limits) rather than speculative intuition.
Published Research & Analysis
Peer-reviewed quantitative articles authored by Dr. Sarah Chen, Ph.D.
Volatility Clustering and ATR Regimes: Designing Adaptive Stop-Loss and Target Frameworks
Mathematical modeling of volatility clustering, Average True Range (ATR) expansion, and dynamic trade management.
Bitcoin Dollar-Cost Averaging (DCA) Math: Dynamic Sentiment-Weighted Value Averaging vs Lump Sum Across 4-Year Halving Cycles
The definitive mathematical study comparing conventional DCA, lump-sum investing, and sentiment-weighted dynamic value averaging. Discover how scaling Bitcoin purchases using Fear & Greed Index regimes and on-chain MVRV Z-Scores enhances Sharpe ratios and suppresses portfolio drawdowns.