Most quant strategies fail not because they are wrong. They fail because they are too large. In systematic trading, the […]
Liquidity, Capacity & Market Impact: The Invisible Constraint in Systematic Trading Read Post »
Returns attract attention. Drawdowns determine survival. In quantitative trading, performance is not defined by peak returns — but by the
Drawdowns, Leverage & Convexity: The Mathematics of Survival Read Post »
Backtests rarely fail. Live trading often does. The transition from research environment to production capital deployment is where many quantitative
From Research to Live Trading: The Hidden Failure Points in Quant Models Read Post »
Quantitative trading was once peripheral. In the 1990s, it was experimental.In the early 2000s, it was alternative.Today, it is structural.
The Institutionalization of Quant Trading: From Niche Strategy to Capital Engine Read Post »
Return expectations shape behavior. Unrealistic expectations destroy capital. In U.S. markets — the deepest and most liquid capital markets globally
Realistic Returns: Investing vs Trading in the U.S. Markets Read Post »
Quantitative proprietary trading is often portrayed as elegant mathematics generating effortless alpha. The reality is operationally heavy, capital intensive, and
Running a Quant Prop Trading Business: The Unsexy Reality Read Post »
Quantitative trading is often presented as a strategy problem. In reality, it is a business problem. The majority of individual
The Institutionalization of Independent Quant Trading Read Post »
Quantitative finance is often discussed as a single discipline. In practice, however, quant trading and quant investing represent two fundamentally
Quant Trading vs Quant Investing: Same Tools, Different Businesses Read Post »
A Systematic, Factor-Driven Approach to Equity Portfolio Design (Research & Experimental Study) Most individual investors approach markets by asking what
Becoming Your Own Fund Manager Read Post »
