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Deep dives into quantitative finance, systematic trading, product strategy, and continuous learning

Building a Robust Backtesting Framework
QuantTrading Systems

Building a Robust Backtesting Framework

How I designed a systematic approach to test trading strategies with historical data and avoid common pitfalls like look-ahead bias and overfitting.

Dec 15, 20248 min read
Understanding Market Microstructure
Quant

Understanding Market Microstructure

A deep dive into order flow, liquidity dynamics, and how markets actually execute trades at the microstructure level.

Dec 10, 202412 min read
Product Thinking for Systematic Traders
ProductTrading Systems

Product Thinking for Systematic Traders

How product management frameworks can improve trading system design, risk management, and iterative development processes.

Dec 5, 202410 min read
Volatility Regimes and Position Sizing
QuantTrading Systems

Volatility Regimes and Position Sizing

Adapting position sizes based on market volatility regimes to optimize risk-adjusted returns and drawdown management.

Nov 28, 20249 min read
Mental Models for Better Decision Making
Growth

Mental Models for Better Decision Making

Key mental models that improve decision quality in trading, product development, and life — from first principles to probabilistic thinking.

Nov 20, 20247 min read
Building My First Options Backtester
ExperimentsTrading Systems

Building My First Options Backtester

The journey of building an options strategy backtester from scratch, including Greeks calculations and P&L attribution.

Nov 15, 202415 min read
Zero to One: Launching a Data Product
Product

Zero to One: Launching a Data Product

Case study on building and launching a data analytics product from idea to first paying customers in 90 days.

Nov 8, 202411 min read
Risk Management is Non-Negotiable
Trading Systems

Risk Management is Non-Negotiable

Why proper risk management is the difference between sustainable trading and blown accounts — lessons from my mistakes.

Nov 1, 20246 min read
Statistical Arbitrage: Theory vs Practice
QuantExperiments

Statistical Arbitrage: Theory vs Practice

The gap between theoretical stat arb strategies and real-world implementation challenges including execution and slippage.

Oct 25, 202413 min read

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