01
Data Before Analysis
Verify the instrument, timestamp, timeframe, expiry, source and data health before building a market narrative.
Published by PK Market Labspkmarketlabs.com • Premium financial research publishing
Professional Digital Edition • First Edition • Version 1.0
AI-Powered Indian Market Research
Stocks, Indices, Options & MCX — a practical framework for AI-assisted market research, data analysis, derivatives intelligence, risk management and trading decision support. Extra benefit: after purchase, you will also be added to our PK Market Labs WhatsApp Community for future eBook updates, announcements and product updates.
Author: Bikash Kundu • Published by: PK Market Labs. Educational and research use only. The framework is designed for disciplined market analysis and decision support; it does not promise guaranteed trades, returns or outcomes.
COMPLETE EDITION60 Chapters + 10 Appendices
60Core Chapters
13Practical Case Studies
10Professional Appendices
A–JPrompts, Checklists & Formula Reference
About the eBook
A structured research framework—not another collection of indicators.
The book is built around one core problem: traders often have plenty of data but no disciplined method for deciding what matters, what confirms the thesis, what contradicts it, and when risk should veto an otherwise attractive setup.
02
Structure Before Indicators
Read market structure, acceptance, regime and location first; use indicators as supporting evidence rather than isolated instructions.
03
Risk Before Reward
A strong research grade can still result in Wait or Reject when location, liquidity, event risk or portfolio risk is unacceptable.
The Core Architecture
Data → Code → State → Risk → AI → Human
The book deliberately separates deterministic calculation from AI interpretation. Code calculates measurable facts, the state engine classifies the market, risk determines permission, AI explains the evidence, and the human remains responsible for the final decision.
DATA→CODE→STATE→RISK→AI→HUMAN
“CODE CALCULATES. AI EXPLAINS. RISK CAN VETO. HUMAN DECIDES.”
The system is designed to preserve contradictions, acknowledge missing data, avoid false probability language, and accept No Clear Edge as a legitimate decision state.
What You'll Learn
From raw market data to a complete AI-assisted research workflow.
The material covers intraday stocks, Nifty and Bank Nifty, futures positioning, options intelligence, MCX research, swing workflows, risk governance, backtesting and system architecture.
📊
Stocks & Indices
Nifty, Bank Nifty, broader NSE equities, market breadth and multi-timeframe structure.
📈
Derivatives
Futures OI, option-chain dynamics, OI migration, PCR, Max Pain, IV and Greeks.
⚙️
AI & Dashboards
Prompt architecture, decision engines, alerts, watchlists and professional dashboard logic.
🛡️
Risk & Validation
Position sizing, portfolio heat, event risk, robustness testing and backtest discipline.
Book Contents
A complete eleven-part professional market research book.
The book progresses from foundations and market internals to scanners, dashboards, MCX intelligence, swing workflows, risk engines and full system architecture.
I
Foundations of AI Market Research
Chapters 1–6: data, structure, indicators, participation and breakout logic.
II
Market Internals & Derivatives Foundations
Chapters 7–12: breadth, futures OI, options intelligence and confluence logic.
III
Stock Scanners & Intraday Intelligence
Chapters 13–18: intraday stock scanners, watchlists and depth intelligence.
IV
Advanced Options Intelligence
Chapters 19–24: OI migration, PCR, Max Pain, IV regimes and cross-assets.
V
Relative Strength, Regime & Dashboard Design
Chapters 25–30: relative strength, day classification and dashboard architecture.
VI
Decision Engines, Alerts & Continuous Learning
Chapters 31–36: decision engines, ranking, no-trade logic and AI learning loops.
VII
Event Risk & MCX Intelligence
Chapters 37–42: event states, Gold, Crude Oil, Natural Gas and Copper frameworks.
VIII
Swing Trading & Options Implementation
Chapters 43–48: swing workflows, overnight risk and options contract selection.
IX
Risk, Validation & Intermarket Intelligence
Chapters 49–54: risk engine, backtesting, correlation and the intraday workflow.
X
Professional AI Research Systems
Chapters 55–60: swing workflow, robustness, platform design and full framework.
XI
Practical Market Case Studies
13 simulated case studies covering trend days, gap failures, OI, MCX and no-trade conditions.
A–J
Appendices & Professional References
AI prompts, checklists, formula reference, glossary, references, version info and disclaimer.
Decision-State Framework
Clear state language for disciplined research decisions.
The eBook standardizes Direction, Grade, Location, Risk and Status so the user can separate setup quality from timing quality and permission to take risk.
- Direction: Strong Positive to No Clear Edge
- Grade: A+, A, B, C, Reject
- Location: Good, Acceptable, Extended, Poor
- Risk: Normal, Elevated, High, Extreme
- Status: Priority, Qualified, Watch, Wait, Reject
DirectionStrong Positive
Setup GradeA+
LocationExtended
RiskHigh
Final StatusWait
Appendix A
Master AI Prompt Library
The book includes a full AI Prompt Library covering intraday stocks, indices, options, MCX, swing research, risk review and validation. Below is a sample prompt card in the same style used across the appendix.
PROMPT A.04
Nifty / Bank Nifty Regime Analysis
Analyze the supplied Nifty and Bank Nifty data using this framework: (1) market structure, (2) breadth, (3) futures positioning, (4) options positioning, (5) volatility and (6) contradictions. Return: Direction, Regime, Grade, Location, Risk, Status, What Changed, and the main contradiction. If required information is unavailable, clearly state 'Data Unavailable' instead of inventing a value.
Who This Book Is For
Built for traders, system builders and research-oriented learners.
01
Intraday Traders
Use the scanner, breadth, breakout, options and intraday decision-engine chapters to create a structured daily workflow.
02
Swing Traders
Use the relative-strength, market→sector→stock, overnight risk and portfolio-heat framework for multi-day decisions.
03
System Builders
Use the data, architecture, prompt, dashboard and validation sections to build AI-assisted research products.
Introductory Offer
Get the complete eBook for ₹299
₹299Regular Price ₹499
Introductory saving: ₹200
Pay securely using the QR code on the payment page. After payment, send the successful payment screenshot on WhatsApp. The eBook will be delivered digitally within 24 hours after payment verification, and you will also be added to our PK Market Labs WhatsApp Community for future eBook updates, announcements and product updates.
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FAQ
Common questions about the eBook.
Is this book suitable for Indian markets only?
The examples focus on Indian markets—NSE, Nifty, Bank Nifty, stocks, options and MCX—but many of the frameworks for data discipline, state engines, risk and validation are globally applicable.
Does the book provide guaranteed trading calls?
No. The framework is educational and research-oriented. It explains how to build disciplined market analysis. It does not guarantee profits, predictions or regulatory approvals.
What makes this different from a standard trading eBook?
It combines AI workflow design, market structure, derivatives intelligence, MCX analysis, risk governance and system architecture into one consistent professional framework.
Can I use this as a foundation for dashboards or indicators?
Yes. It is especially useful as a conceptual blueprint for indicators, dashboards, scanners, watchlists, AI prompt systems and research software.
Get the complete professional eBook.
Introductory price ₹299 (regular price ₹499). After payment, send the payment screenshot on WhatsApp. The eBook will be delivered within 24 hours after verification, and you will also be added to our WhatsApp Community for future updates, announcements and product updates.