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Advanced Quantitative Data Analytics Lab

LynqVerse Research operates at the intersection of data analytics, quantitative finance, and market microstructure. Founded by Anupam Dutta, we transform raw financial data into actionable intelligence through proprietary quantitative frameworks.

About the Founder

Anupam Dutta — engineer, trader, and quant researcher — founded LynqVerse Research with the conviction that markets reward data-driven discipline over speculation. The lab blends engineering precision with market expertise to build repeatable, research-backed trading frameworks.

What We Are

An advanced quantitative research laboratory developing and validating proprietary models, stress-testing assumptions, and translating research into systematized execution.

What We Aren’t

Not a tip service or signal vendor. Our commitment is to quantitative rigor, evidence, and repeatability.

Research Philosophy

Volatility as Information

Volatility is structured information about positioning, liquidity, and risk transfer — not chaos.

Microstructure First

We study order-flow footprints and hedging mechanics to understand how markets actually move.

Probability over Prediction

We emphasize risk sizing, expectancy, and drawdown containment over direction guessing.

Core Competencies

Volatility Analytics

Work on volatility surfaces, clustering, and contraction–expansion regimes that precede price moves.

Quantitative Models

Proprietary algorithms that convert raw data into probability-weighted setups with risk controls.

Market Microstructure

Liquidity maps, institutional hedging footprints, and execution-aware modeling for realistic implementation.

The Modulus NCP40 Algorithm

Modulus NCP40 is our proprietary quant engine that processes large-scale end-of-day market data to derive fair valuations, detect institutional hedging flows, and surface next-session trade setups. NCP40 remains private, preserving our research edge.

Visit NCP40 Portal
Quant Research Snapshot
Framework: Volatility Contraction → Expansion
Status: Prototype visualization
Research Areas:
  • Volatility Surface Analytics
  • Market Microstructure Studies
  • Fair Value vs. Price Dislocations
  • Institutional Hedging Footprints
  • Probability-Weighted Trade Modeling
© By Modulus NCP40 App

Why It Works

By quantifying dislocations between fair value and traded price, NCP40 reveals systematic opportunities within institutional flows.

Kept In-House

The Modulus NCP40 algorithm is not licensed or sold. Its alpha remains exclusive to LynqVerse Research.

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