Tag: Market Research

  • 🚀 QIM Indian Indices Engine — Now Live (Version 3.0)

    I’m excited to share the release of the QIM Indian Indices Engine, a deterministic mathematical system that interprets Nifty 50, Nifty Bank, and Sensex 30 using structural ranges, swing behaviour, and forward projections — all derived from pure mathematical logic.

    This engine represents India’s first structural‑behavioural interpretation framework, built without indicators, sentiment, or machine learning. It is designed for research, education, and independent market understanding.

    A special tribute to Software Engineers and AI/ML Engineers, whose work makes intelligent assistants and analytical innovation possible.

    You can download the full PDF below.

  • Monumental Update: The Indian Indices QIM Engine Is Now Fully Automated

    Monumental Update: The Indian Indices QIM Engine Is Now Fully Automated

    For years, the QIM Framework has been shaped by lived market experience — structural thinking, behavioural interpretation, polarity logic, displacement analysis, and emotional strength mapping. Today, that human‑driven interpretive system has crossed a historic milestone.

    QIM has become an automated analytical engine.

    After months of architectural refinement and a week of intense engineering work, the Indian Indices QIM Engine is now fully operational, dynamic, and capable of processing after‑market data across:

    • Nifty 50
    • Sensex 30
    • Nifty Bank

    Each index is computed independently, analysed through the complete 8‑Block QIM architecture, and exported into its own dedicated sheet — with intelligent row‑level formatting and full QIM metrics.

    This is not just an update. This is a transformation.

    🔥 What’s New in This Release

    ✔ Full Automation of QIM Blocks 1–7

    Every new after‑market data point triggers a complete recalculation of:

    • QIM Tag
    • Polarity
    • Swing Metrics
    • Displacement
    • Price Zones
    • Differentiators
    • Emotional Strength
    • Pivot Logic
    • Higher High / Lower Low
    • Net Displacement
    • Required Displacement
    • Velocity & Time Estimates

    ✔ Multi‑Index Processing

    All three major Indian benchmark indices are now processed in parallel, each with its own analytical sheet.

    ✔ Dynamic After‑Market Updates

    Simply add the latest market data to your input file — the engine recalculates everything automatically.

    âś” Intelligent Row Colouring

    • RALLY → Green
    • DROP → Red
    • NIL → Gray
    • Header → Blue

    âś” Deterministic, Modular Architecture

    The engine follows a strict 8‑Block structure, ensuring clarity, consistency, and scalability.

    🌟 Why This Matters

    This update marks the moment where human interpretive intelligence — the lived experience behind QIM — has been successfully translated into a computational engine.

    The QIM Framework is no longer just a philosophy. It is now a fully automated system capable of:

    • reading market behaviour
    • interpreting structural shifts
    • identifying polarity
    • measuring displacement
    • detecting pivots
    • quantifying emotional strength
    • and presenting insights with precision

    This is a milestone not just for QIM, but for every end‑user who relies on structural‑behavioural analytics.

    đź§  A Note from the Architect

    “A human lived‑experience engine has been automated. There are no words to describe this moment — only gratitude, clarity, and goosebumps. QIM has crossed into a new era.”

    — Ashwin, Founder of QIM Framework

    📢 What’s Next

    • Global Indices QIM Engine
    • Sector‑wise QIM Analytics
    • QIM Dashboard for Power BI
    • Automated Daily QIM Reports

    The journey continues — and this milestone sets the foundation for everything that comes next.