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Precision CapitalAcademy LLP

Research · Quantitative Finance · Applied Machine Learning

Researching how financial markets actually behave.

Research, quantitative analysis and financial-market education focused on Indian index options, stock options and equities, market microstructure and computational finance.

Explore ResearchAbout Precision Capital
Focus
Derivatives & microstructure
Method
Empirical, reproducible
Stance
Evidence over narrative

Event-aligned market structure

Schematic

Schematic of a structural price break and the surrounding options positioningAn illustrative diagram. On the left, a price path consolidates, breaks below a structure level marked "structural break", and expands downward through a region labelled "price discovery", above an event-time axis running from minus fifteen to plus fifteen minutes. On the right, horizontal bars show put-side and call-side positioning across a strike band. The diagram illustrates the kind of structure this research studies; it does not plot measured data.STRUCTURE LEVELSTRUCTURAL BREAKPRICE DISCOVERY−15−5t₀+5+15EVENT TIME (MINUTES)OPTIONS POSITIONING+300+200+100ATM−100−200−300PE OICE OI
Schematic of the kind of structure this research studies — a structural break, the event-time window around it, and options positioning across a strike band. Illustrative geometry, not plotted data.

About

Research. Education. Impact.

Precision Capital Academy LLP is a partnered organisation combining market research, financial-market education and applied computational work.

The research arm asks empirical questions about how markets behave and answers them with data, code and explicit method. The education arm explains what those questions mean and why the answers are rarely as clean as they look. The applied work is the infrastructure that makes both possible.

It is a partnered organisation. It is not affiliated with any university, exchange, broker or asset manager, and it does not claim to be.

More about the organisation
  • 01

    Research without a mandate

    No client, no mandate, no product to defend. The only thing a result has to survive is the next test.

  • 02

    Rigorous methodology

    Questions are specified before the data is examined, confounds are controlled explicitly, and multiple comparisons are corrected across the whole family of tests — not the surviving one.

  • 03

    Reproducibility

    Every published figure traces back to code that runs end to end from raw data. A result nobody can re-derive is an anecdote.

  • 04

    Evidence over narrative

    Findings that do not replicate are reported as findings that do not replicate. Negative results are published, not filed away.

  • 05

    Theory and practice

    The questions come from watching real markets; the answers are held to an academic standard. Neither half is much use alone.

Research

Featured Research

The current flagship study, and the template for how research is reported here — question first, method in full, results as they came out.

All research
Working Paper2026· v17

Open Interest Repositioning around Intraday Price-structure Breaks: Evidence from NIFTY 50 Index Options

A comprehensive empirical study of whether intraday options open-interest repositioning provides advance information about structural price breaks in NIFTY 50 index options.

Working Paper
Not peer reviewed
2026
Version v17
NIFTY 50
Weekly Options
  • NIFTY 50
  • Weekly Options
  • Open Interest
  • Market Microstructure
  • Structural Breaks
  • Event-Time Analysis
  • Out-of-Sample Validation
Key Finding
OI repositioning is strongly associated with break direction and that association is already building before the break is confirmed — but it peaks after confirmation, and it does not convert into a robust out-of-sample predictive edge.
Read paperView on SSRN(opens in a new tab)View code(opens in a new tab)Replication guide(opens in a new tab)

Research areas

Where the work is focused

Five connected areas. Each one exists because a question in the previous one could not be answered without it.

Academy

Practical Education for Smarter Market Participation

Educational content covering derivatives, market structure, risk management and practical financial-market concepts.

Academy overview

  • Options & Derivatives Concepts

    How option contracts actually behave: payoff structure, time decay, implied volatility, and what open interest does and does not tell you.

  • Market Structure & Price Action

    Reading structure mechanically rather than by feel — swings, breaks, and the difference between a definition and an impression.

  • Risk Management & Positioning

    Position sizing, exposure limits and the arithmetic of drawdown — the part of market participation that is not a forecasting problem.

  • Market Analysis & Case Studies

    Worked examples on real sessions, including the ones where the reading was wrong and why that matters more than the ones where it was right.

Co-founder

Portrait of Subhash Sadacharam

Subhash Sadacharam

Co-founder & Market Researcher

More about the organisation

Market researcher working on Indian index options, stock options and equities — derivatives, market microstructure, systematic strategies and applied machine learning.

The method is the one this site describes: propose a signal, specify the test before looking, control the obvious confound, and hold a period back for a single honest evaluation. Findings that do not replicate get published as findings that do not replicate.

Research interests

  • Index options
  • Stock options
  • Equities
  • Options & volatility
  • Market microstructure
  • Options price discovery
  • Quantitative modelling
  • Applied machine learning
  • Time-series modelling
  • Systematic strategies
  • Financial data engineering
  • Real-time market analytics