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Yatharth Bhatt

Yatharth Bhatt

Quant Researcher

Talent
AhmedabadMember since April 20, 2026
PythonSQLPine ScriptShellGitLinuxBacktraderQuantStatsStatsmodelsyfinanceNSE Data APIsStreamlitPlotlyDashAlgorithmic tradingFinancial modellingSystematic backtestingWalk-forward validationStatistical arbitragePairs tradingBSM options pricingImplied volatility surface fittingAlpha generationPortfolio optimisationCointegration (Engle-Granger, ADF)Ornstein-Uhlenbeck processTime series analysisMonte Carlo simulationRegressionSharpe ratioSortino ratioCalmar ratioVaRCVaRMax DrawdownSignal generationEquity research
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PythonSQLPine ScriptShellGit

About

M.Tech candidate at DAIICT (2026) specialising in quantitative research, systematic strategy development and derivatives pricing on live NSE and BSE data. SEBI certified Research Analyst (NISM XV) and Equity Derivatives professional (NISM VIII). Proficient in financial modelling, alpha generation, risk management and time series analysis. Seeking a quantitative research or financial engineering role where rigorous mathematics meets real P&L.

Experience

Independent Quantitative Researcher at Self-directed (2024-01 – Present)

Systematic Trading, Signal Generation, Alpha Research

  • Designed and live-traded a proprietary multi-timeframe momentum strategy in Pine Script on Indian equities; achieved Sortino ratio of 2.359 and 52 percent win rate with disciplined drawdown control across trending, sideways and high-volatility market regimes.
  • Developed and maintained a systematic backtesting framework covering 10 strategies on NSE data; conducted walk-forward out-of-sample validation to ensure genuine alpha rather than curve-fitted results.
  • Performed ongoing quantitative research across options pricing, statistical arbitrage and equity derivatives using live NSE and BSE market data.

Education

M.Tech in ICT (Software Systems) – Dhirubhai Ambani Institute of ICT (DAIICT) (2024-01 – 2026-06)

B.E. in Computer Engineering – Gujarat Technological University (2020-01 – 2024-06)

Skills

Quant Researcher

Reviews

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