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CN2.DEVBUKYA NARESH

PATH / 03 — RESEARCH COLLABORATION

JOINT EXPERIMENTS & OPEN RESEARCH


I'm open to research collaboration on market structure, backtesting, data integrity, risk engineering, and quantitative methods — work where the question is registered up front and the methodology stays transparent.

Collaboration model — convergence into a joint experimentREGISTERED HYPOTHESISTRANSPARENT METHODJOINT EXPERIMENTVERIFIEDREPRODUCIBLE ARTIFACT

COLLABORATION MODEL — REGISTERED QUESTIONS, SHOWN METHOD.

COLLABORATION THEMES

These are the research areas where joint work produces compounding value. Each theme connects to existing systems and published research entries.

01

MARKET STRUCTURE

Microstructure, liquidity dynamics, and order-flow toxicity in crypto and traditional venues.

02

BACKTESTING INTEGRITY

Deterministic simulation, lookahead-bias prevention, cost modelling, and reproducible artifacts.

03

DATA INTEGRITY

Point-in-time correctness, representation error, vendor disagreement, and canonical modelling.

04

RISK ENGINEERING

Structural risk controls, position sizing under ergodicity, and pre-trade enforcement.

05

QUANTITATIVE METHODS

Ergodicity economics, ensemble vs time averages, small-edge detection, regime attribution.

GOVERNANCE

HOW WE WORK TOGETHER

01

REGISTER THE HYPOTHESIS

Every collaboration starts with a falsifiable question, registered before data is touched.

02

AGREE THE EVIDENCE

What artifact would prove the result? Fixed before any code runs.

03

RUN THE EXPERIMENT

Deterministic code, explicit costs, reproducible artifacts.

04

PROMOTION GATE

Verification against the artifact. The gate refuses to bend — that is the feature.

NEXT

PROPOSE A HYPOTHESIS