DharmQuant

Systematic investing powered by quantitative research.

DharmQuant develops data-driven trading strategies, research infrastructure, and disciplined risk systems designed for modern financial markets.

DharmQuant develops quantitative strategies, data pipelines, and risk systems designed for systematic capital allocation across public markets.

01
Research-first approach
02
Risk-managed portfolio construction
03
Technology built for scale

What we do

Quantitative Research

We study market anomalies, momentum effects, volatility patterns, and execution inefficiencies.

Data Infrastructure

Clean, survivorship-bias-aware data flows that support repeatable backtesting and live monitoring.

Portfolio Construction

Position sizing, diversification, and exposure controls designed to reduce fragility.

Execution Systems

Order routing and trade monitoring built for consistent implementation, not random chaos goblins.

Firm principles

  • Evidence before intuition.
  • Risk before ego.
  • Process before storytelling.
  • Track record before marketing.

Research themes

Momentum

Cross-sectional and time-series trend behavior across asset classes.

Microstructure

Bid-ask behavior, liquidity, and execution cost analysis.

Risk premia

Systematic exposures that can be measured, tested, and controlled.

Important

This website should not promise returns. For a real investor-facing firm, add legal structure, regulatory compliance, and audited performance reporting before soliciting capital.