Our Learning Paths
Rigorous, high-density courses built for quick scanning and faster decisions. Filter by strategy and find your edge.
Stock Market Basics
15 courses
Advanced Bond Valuation: Credit Spreads and the Yield Curve
An advanced, India-first course on the two things a single yield to maturity hides: the term structure of interest rates and the credit spread. Built for experienced retail investors, active traders, and HNIs who can already price a bond and compute duration, and now want to bootstrap a zero-coupon curve from G-Sec prices, extract forward rates, read curve shapes and curve trades, decompose a corporate bond's spread into default, recovery, liquidity, and tax components, and value any bond cash flow by cash flow off the curve plus a spread. Uses FBIL and CCIL data, NSE and BSE corporate bond quotes, RBI Retail Direct, debt fund factsheets, and real Indian credit events including IL&FS, DHFL, and the 2020 credit risk fund episode, with every calculation worked in INR.
- Bootstrap a zero-coupon spot curve from G-Sec prices and explain why YTM is a blunt average that spot rates sharpen
- Compute implied forward rates and read what the curve is pricing about future RBI repo decisions
- Identify normal, flat, inverted, and humped curves and express a curve view using gilt, constant maturity, and target maturity funds
Advanced Portfolio Construction: Factor Investing and Smart Beta
A practitioner's course on factor investing for experienced Indian investors who already run a portfolio and want a more deliberate way to construct it. Covers what a factor actually is, how value, momentum, quality, low volatility, size, and dividend yield have behaved on the NSE, how to read the methodology of every major Nifty smart beta index and the funds that track them, and how to combine factors into a multi-factor portfolio around a Nifty 50 core. Closes with the operational realities: turnover, transaction costs on Indian brokers, capital gains tax drag, rebalancing discipline, and regression-based monitoring of your own factor exposure. Built on Screener.in screens, NSE index data, and real Indian fund examples throughout.
- Separate market beta, factor exposure, and genuine alpha in any portfolio, including your own
- Build value, momentum, quality, and low volatility screens on Screener.in that match how NSE factor indices are actually constructed
- Read a Nifty smart beta index methodology document and judge whether the fund tracking it is worth owning
Advanced Screener.in: Custom Formulas and Forensic Screens
For investors who already write basic Screener.in queries and want screens that hold up. The first half is about writing formulas properly: handling nulls, zero denominators and negative values, building composite scores in one query, and testing multi-year consistency. The second half turns those skills into forensic screens: cash conversion, accruals, other income dependence, capitalisation creep, receivable and inventory build-ups, the cash-and-debt paradox, Piotroski and Beneish style scoring, and promoter pledge and dilution filters. It closes by testing screens against real Indian collapses such as DHFL, Manpasand and Yes Bank, and by building a quarterly review routine that separates genuine red flags from false positives.
- Write Screener.in queries that handle nulls, zero denominators and negative values without silently dropping companies
- Combine several conditions into a single composite score inside one query
- Screen for poor earnings quality using cumulative cash conversion, accruals and other income dependence
Building Automated Excel Models Linked to Live Market Data
An advanced build course for investors and active traders who already live in Excel and are tired of copy-pasting prices. You will design models in three layers (raw data, calculation engine, output), then feed them from real sources: Excel Stock Data Types and STOCKHISTORY, Power Query pulls of NSE bhavcopy, AMFI NAVs and RBI rates, and real-time broker feeds from Zerodha Kite Connect through Python. On top of that data you will build five working models: a live peer valuation sheet, a reverse DCF that recalculates implied growth as the price moves, a Nifty options chain with Black-Scholes Greeks, a rolling portfolio risk dashboard, and a position sizing calculator. Finally you will automate refreshes, snapshots and alerts with VBA, Office Scripts and Python, and harden the whole thing with audit checks, performance tuning and a maintenance playbook for corporate actions and index changes.
- Design live models in three layers so a broken feed never corrupts your calculations
- Choose between Stock Data Types, Power Query, RTD and broker APIs based on latency, cost and reliability
- Pull NSE bhavcopy, AMFI NAVs and RBI rates with parameterised Power Query that refreshes on a schedule
Building a Concentrated High Conviction Portfolio
A rigorous guide to building and running a concentrated equity portfolio in Indian markets, built for experienced investors who have outgrown a 40-stock spread and want their best ideas to actually matter. Learn why diversification stops adding much beyond 15 to 20 stocks, what the Kelly criterion and its practical half-Kelly version say about position sizing, and the temperament and capital tests that decide whether concentration is right for you at all. Go deep on how conviction is actually built: writing a one-page thesis, identifying your variant perception versus the Nifty consensus, and setting kill criteria before you buy. Then construct the book itself: how many stocks, sizing by conviction tiers, spotting correlation traps where ten NSE stocks behave like three, and staggered versus lump-sum entry. Finish with the discipline that keeps a concentrated portfolio alive: quarterly thesis reviews, rules for trimming and adding, and the real tax and cost drag of churn under Indian LTCG and STCG rules.
- Size positions using conviction tiers and a half-Kelly framework instead of equal weights
- Write a one-page thesis with explicit kill criteria before committing capital
- Spot correlation traps and run a quarterly review process that avoids overtrading
Building a Personal Research Dashboard Using Python and Free APIs
A build course for investors and active traders who already write basic Python and are tired of stitching research together from screener.in, NSE, BSE, AMFI and a dozen broker screens. You will design and build one private research dashboard on free data: NSE bhavcopy and delivery data, yfinance prices, AMFI and mfapi.in NAVs, BSE and NSE corporate filings, and RBI macro series. You will store it all in a local DuckDB database, adjust for splits and bonuses, and run data quality checks that catch silent errors. On top of that data you will build valuation bands, relative strength versus the Nifty 50, portfolio XIRR and drawdown, and a transparent watchlist score. Then you will ship it as a Streamlit app with Plotly charts, schedule daily refreshes, send Telegram alerts on filings and price triggers, and keep the whole system running when free sources change. Built for experienced retail investors, active traders and HNI investors who want a research process they own end to end.
- How to decide what a research dashboard should answer before writing a single line of code
- Which free Indian market data sources are reliable, what each one cannot tell you, and how to use them within their terms
- How to build a fetch, store, compute, display architecture that survives source outages and format changes
Case Study: Bhushan Steel, Insolvency and Resolution Under IBC
Bhushan Steel borrowed its way into becoming one of India's largest secondary steel producers, then collapsed under more than 56,000 crore rupees of claims and became one of the twelve accounts RBI ordered banks to drag to the National Company Law Tribunal in 2017. Within a year, Tata Steel had bought it through the Insolvency and Bankruptcy Code, lenders had recovered roughly 63 percent of their admitted claims, and the promoters had been locked out by the new Section 29A. This case study rebuilds the whole arc: the balance sheet red flags that were visible years in advance, the broken recovery system IBC replaced, the CIRP process step by step, the bidding war with JSW Steel, what actually happened to lenders, operational creditors and public shareholders, and the fraud investigation that followed. Built for experienced retail investors, active traders and HNIs who want to read insolvency situations on NSE and BSE with clear eyes instead of chasing them.
- Spot the balance sheet warning signs in Bhushan Steel's annual reports years before default: interest cover, capital work in progress, debt to EBITDA and related party flows
- Explain why SICA, BIFR, DRTs, SARFAESI and CDR failed to resolve bad loans, and what RBI's Asset Quality Review and the dirty dozen list changed
- Walk through the Corporate Insolvency Resolution Process from NCLT admission to plan approval, including the moratorium, the resolution professional and Committee of Creditors voting
Case Study: DHFL, Forensic Red Flags Before the Collapse
A forensic case study of Dewan Housing Finance Corporation, the AAA-rated housing finance company that went from a ₹690 stock and a ₹1 lakh crore loan book in 2018 to default, RBI supersession, and the first financial firm ever resolved under the IBC. Built for experienced retail investors, active traders, and HNIs who want to learn how to see the next DHFL before the rating agencies do. Works through the annual reports, quarterly disclosures, shareholding patterns, auditor reports, bond yields, and mutual fund holdings that were public before the collapse, and shows which red flags were visible, which were hidden, and what each one should have made you do. Covers the asset liability mismatch, developer loans dressed up as retail, shell company lending, related party and circular funding, the fictitious Bandra branch, auditor and rating agency lag, the September 2018 crash, the June 2019 default, and the Piramal resolution. Ends with a reusable NBFC and HFC forensic checklist applied to a live-style example using Screener.in and exchange filings.
Case Study: Future Group's Debt Spiral and Governance Failures
An advanced case study that reconstructs the collapse of Kishore Biyani's Future Group from the investor's chair. You will trace how a retail empire built on Big Bazaar and Pantaloons was financed with escalating debt, promoter pledges and a web of listed group companies, why the Amazon and Reliance transactions of 2019 to 2022 turned into a courtroom war, and how the default, the failed one-time restructuring and the insolvency process wiped out equity holders. Every chapter converts the story into tools: leverage ratios that lease accounting hides, pledge disclosures on NSE and BSE, related party tests, and a governance checklist you can run on any promoter-led company on screener.in today.
- How Future Group grew from one Pantaloons store to over 1,500 outlets and why that growth was financed almost entirely with borrowed money
- How to compute true leverage for a retailer once Ind AS 116 lease liabilities, group guarantees and asset-holding companies are put back on the balance sheet
- How promoter share pledges work, where to find them in NSE and BSE disclosures, and why pledge invocations in 2019 and 2020 marked the point of no return
Case Study: HDFC Bank Bulk Deal Activity Around Key Events
An event-by-event study of how large money moved in and out of HDFC Bank, India's most widely held private bank and one of the heaviest weights in the Nifty 50. Start with SEBI's rules for bulk and block deals and discover why the 0.5% bulk deal threshold almost never triggers for a stock this large, so the real footprints sit in block deal windows, FII and DII flow data and quarterly shareholding patterns. Then walk through the HDFC merger, the January 2024 results sell-off, LIC's approval to go up to 9.99% and MSCI's foreign inclusion factor changes, reading the NSE and BSE disclosures around each one. Finish with a repeatable playbook and checklist for studying large-deal activity around events in any Indian large cap.
- Tell bulk deals, block deals and ordinary large trades apart using SEBI's definitions and disclosure rules
- Explain why mega caps like HDFC Bank rarely appear in bulk deal data and where their large trades show up instead
- Pull and read bulk deal, block deal, FII/DII and shareholding data from NSE, BSE and screener.in
Case Study: IL&FS Crisis and Its Systemic Ripple Effects
A forensic walkthrough of the Infrastructure Leasing & Financial Services collapse of 2018, the default that turned a single lender's balance sheet problem into a system-wide credit freeze. Built for experienced retail investors, active traders and HNIs, the course dissects how a company owned by LIC, SBI, HDFC and ORIX grew into a web of more than 300 entities, funded long-gestation infrastructure projects with short-term borrowing, and kept a AAA rating until weeks before it defaulted. It then traces the contagion: the commercial paper market seizing up, debt mutual funds marking down holdings, the DHFL sell-off on NSE, and the second-order damage that ran through Reliance Capital and the Franklin Templeton wind-up. It closes with the regulatory response from RBI, SEBI and the government, and practical frameworks for stress-testing NBFC stocks and debt funds in your own portfolio.
- Explain how IL&FS's ownership, group structure and funding model created a hidden asset-liability mismatch
- Read the warning signs in IL&FS's own annual reports and rating rationales that were visible before the 2018 defaults
- Trace how one default spread through the commercial paper market, debt mutual funds and listed NBFC stocks
Understanding Cyclicality in Commodity and Capital Goods Stocks
A practitioner's framework for investing in the most unforgiving corners of the Indian market: steel, aluminium, cement, oil and gas, and the capital goods names that build the country. Learn why these stocks swing far more than the Nifty, how to tell where a cycle is using order books, capacity utilisation, LME prices and margin data, why P/E is a trap for cyclicals and what to use instead, and how to size, time and exit positions. Built around real NSE and BSE case studies including Tata Steel, Hindalco, L&T and BHEL across full boom-to-bust cycles.
Understanding Insider Trading Regulations and Bulk Deal Data
An advanced, India-specific course for experienced retail investors, active traders, and HNIs who want to use the same disclosure data that institutions watch every evening. It covers the SEBI (Prohibition of Insider Trading) Regulations 2015 in practical terms: what counts as unpublished price sensitive information, who is an insider or connected person, trading window closures, and the disclosure filings that land on NSE and BSE every day. It then moves to bulk deal and block deal data, the 0.5% reporting rule, the block deal window, and how to tell genuine promoter or institutional accumulation from operator-driven distribution. The course closes with SEBI's enforcement machinery, landmark Indian cases, the SAST takeover thresholds that sit alongside insider rules, and the lines a retail investor must never cross when acting on tips, Telegram channels, or a friend inside a listed company.
- Define unpublished price sensitive information, insider, and connected person exactly as SEBI does, and apply the definitions to real situations
- Locate and read insider trading disclosures, pledge data, and trading window closure notices on the NSE and BSE websites
- Explain the 0.5% bulk deal rule, the block deal window, and the difference between the two data sets
Understanding Market Microstructure and Liquidity
An advanced, India-specific course on how orders actually become trades on NSE and BSE, and why liquidity, not just price, decides what you really pay. Built for experienced retail investors, active traders and HNI portfolios who have moved beyond stock picking and now need to understand the order book, price-time priority, pre-open and closing auctions, impact cost, slippage, and the hidden footprint of algos, FIIs and block deals. Covers how to read market depth on Zerodha, measure liquidity with NSE impact cost and delivery data, execute large orders without moving the price, and build a liquidity-aware plan for smallcaps and volatile sessions.
Understanding Promoter Pledging and Its Risks
Promoter pledging is one of the most under-read risk signals in Indian equities. This course explains what happens when a promoter borrows against their own shares, how lenders set loan-to-value limits and margin calls, and why a falling stock price can trigger a spiral of forced selling that ends with the promoter losing control. You will learn to read pledge and encumbrance disclosures on NSE, BSE and screener.in, distinguish healthy pledging from distress, and interpret ratios like pledged shares as a percentage of promoter holding versus total equity. Indian case studies including Zee Entertainment, Coffee Day Enterprises, the Anil Ambani group companies and Yes Bank show how pledge risk played out in real portfolios. The course closes with a practical scorecard, exit triggers and a monitoring routine you can apply to any stock you hold.
- Explain how promoter share pledging works, from loan-to-value ratios to top-ups and invocation
- Read pledge and encumbrance disclosures on NSE, BSE and screener.in and interpret the key ratios
- Separate legitimate pledging from distress signals using trend, lender type and group context
Value Investing
7 courses
Advanced Credit Analysis for Equity Investors
A practical credit analysis framework built for equity investors, not bond investors. Teaches experienced retail investors, active traders, and HNIs to read debt structure, credit ratings, and leverage the way a credit analyst would, so that deteriorating credit quality is spotted well before it shows up in the stock price. Uses real Indian blowups, including IL&FS, DHFL, Yes Bank, and Reliance Capital, alongside CRISIL and ICRA rating rationales, Screener.in data, and annual report disclosures throughout.
- Analyze a company's debt structure the way credit analysts do
- Use core credit metrics and rating actions to gauge risk
- Build a practical screening framework from real credit case studies
Advanced Valuation: Sum of the Parts and Special Situations
A hands-on course on valuing businesses that a single P/E or DCF cannot handle: conglomerates, holding companies, and companies going through demergers, buybacks, open offers, delistings, and mergers. Teaches experienced retail investors, active traders, and HNIs to build a sum-of-the-parts valuation segment by segment, apply and defend a holding company discount, and work out the arbitrage math in Indian special situations. Built entirely on real NSE and BSE cases including Reliance Industries, Grasim, Bajaj Holdings, ITC Hotels, Jio Financial Services, and the HDFC merger, using segment reporting under Ind AS 108, SEBI regulations, Screener.in, and exchange filings throughout.
Case Study: Britannia's Margin Expansion Story, A Forensic Read
Between FY2013 and FY2025 Britannia Industries roughly tripled its operating margin while the stock re-rated from a mid-twenties P/E to over fifty times earnings. This advanced case study rebuilds that margin expansion line by line from the annual reports, then runs the forensic checks an experienced investor should run on any margin story: cash conversion, working capital, related-party lending to the Wadia group, bonus debentures, capex and depreciation policy, fiscal incentives and advertising cuts. You will benchmark Britannia against Nestle India, Hindustan Unilever and ITC, stress-test the story through the FY2022 inflation dip and the FY2024 rebound, and leave with a reusable scorecard for separating durable margin gains from borrowed ones.
- How to build a margin bridge from published annual reports and attribute every percentage point of expansion to a named driver
- Which cost lines (raw material, advertising, employee, logistics, wastage) drove Britannia's expansion and how durable each one is
- How to test whether reported EBITDA is backed by operating cash flow, and what negative working capital does to that test
Contrarian Investing: Identifying Value in Out of Favor Sectors
An advanced course on buying what the market has abandoned, without catching falling knives. Learn to separate cyclical troughs from structural decline, apply the capital cycle to Indian sectors, value businesses on normalised earnings and replacement cost, run balance sheet survival tests, identify the catalysts that end a bear phase, and size contrarian positions so that being early does not mean being wrong. Built around real NSE and BSE sector cycles: PSU banks, real estate, telecom, pharma, capital goods and IT.
- Why out-of-favor sectors have historically delivered the best forward returns on the NSE, and why most investors still cannot buy them
- How to diagnose whether a sector is in a cyclical trough, a regulatory overhang or a permanent structural decline
- How to apply the capital cycle framework to Indian sectors like cement, steel, telecom and real estate
Understanding Cross Holdings and Group Company Valuation
A hands-on course on how Indian business groups are wired together and what that means for the price you pay for a share. Teaches experienced retail investors, active traders, and HNIs to trace ownership through subsidiaries, associates, and promoter vehicles, read standalone versus consolidated numbers under Ind AS 110 and Ind AS 28, separate core business value from the value of stakes held, and spot where cross holdings inflate market caps, leak value through related party deals, or hide an unlocking opportunity. Built on real NSE and BSE cases including the Tata group and Tata Sons, Bajaj Holdings and Maharashtra Scooters, Grasim and Aditya Birla Capital, Mahindra and Mahindra, and Reliance Industries, using BSE shareholding filings, annual reports, SEBI regulations, and Screener.in throughout.
- Map any Indian business group from BSE shareholding pattern filings and annual report subsidiary lists
- Read standalone and consolidated statements correctly and know where associate and JV profits appear
- Split a company's value into core business value and the value of stakes it holds, without double counting
Understanding Distressed Debt and Turnaround Investing
A practical guide to investing in companies under financial stress, built for experienced Indian retail investors, active traders, and HNIs. Covers the full distress cycle: how the Insolvency and Bankruptcy Code works, why equity usually gets wiped out under the Section 53 waterfall, how to map a capital structure and estimate recovery value, which distressed instruments Indian investors can actually access, and how to separate a genuine turnaround from a value trap. Uses real cases throughout, including Bhushan Steel, Essar Steel, Jet Airways, Ruchi Soya, Suzlon, Vodafone Idea, and Yes Bank, with data from Screener.in, NCLT orders, and exchange filings.
- Read the Insolvency and Bankruptcy Code process from default to resolution and know where equity sits in the waterfall
- Map a stressed company's capital structure and estimate liquidation and recovery values
- Understand security receipts, stressed NCDs, and distressed credit AIFs and which ones a retail investor can access
Understanding Special Situations Investing: Spin Offs, Demergers, Buybacks
A strategy course on making money from corporate events rather than from earnings forecasts. Built for experienced retail investors, active traders, and HNIs who want a repeatable process for demergers, spin-offs, buybacks, open offers, delistings, rights issues, and merger arbitrage on NSE and BSE. Covers why these events create mispricing, where to find them before the crowd, how to read the scheme documents and SEBI filings that decide the payoff, how to size positions when capital is locked up, and how the post-October 2024 tax rules change the buyback trade. Anchored in real Indian cases including Jio Financial Services, ITC Hotels, Siemens Energy India, Tata Motors, TCS and Infosys buybacks, the Reliance and Bharti Airtel rights issues, the Vedanta five-way split, and the HDFC merger, using BSE corporate announcements, NCLT filings, SEBI regulations, and Screener.in throughout.
Technical Trading
1 course
Advanced TradingView: Multi Timeframe and Strategy Backtesting
You already know your way around TradingView: charts, indicators, alerts. This course takes you to the part most traders skip. First, multi-timeframe analysis done with discipline: how to pick a timeframe stack that fits NSE's 375-minute session, read trend, setup and trigger from different timeframes, and resolve conflicts between them. Then the Strategy Tester, decoded: which metrics actually matter, how to load realistic Zerodha brokerage, STT, exchange charges, GST, stamp duty and slippage in INR, and why intrabar fill assumptions flatter almost every backtest. Finally, you build and test a multi-timeframe strategy on Nifty 50 stocks, with lookahead bias shut out and the results read honestly. Built for experienced retail investors, active traders and HNI investors who want evidence before conviction.
- Choose a timeframe stack that fits the NSE session and your holding period
- Read trend, setup and trigger top-down, and handle timeframes that disagree
- Build a synced multi-chart TradingView layout with higher-timeframe indicators that do not repaint
Options & Derivatives
2 courses
Advanced Options Strategies for Portfolio Protection
A defined-risk framework for protecting an existing portfolio with options, built for experienced retail investors, active traders, and HNIs who already know how calls and puts work. Moves past speculation into protective puts, collars, spreads, index-level and tail-risk hedging, and the real cost, margin, and tax mechanics of running a hedge in the Indian market. Uses real Indian drawdowns, including the March 2020 crash and the 2022 correction, alongside Nifty, Bank Nifty, and India VIX data, SPAN margin mechanics, and ITR treatment of options P&L throughout.
- Hedge a portfolio using protective puts, collars and covered calls
- Apply spreads and index-level hedges across diversified portfolios
- Build a systematic framework covering costs, taxes and margin
Understanding Futures Contracts and Margin Trading
An advanced, mechanics-first course on futures contracts and leveraged trading for experienced retail investors, active traders, and HNIs who already know what a futures contract is. Covers contract specifications, cost of carry and basis, open interest and rollover, the full NSE Clearing margin stack (SPAN, exposure, mark-to-market, peak margin, shortfall penalties), broker square-off rules, Margin Trading Facility (MTF) and pledging, directional and hedging strategies with Nifty and stock futures, calendar spreads, cash-futures arbitrage, physical settlement, MWPL ban periods, and the taxation of F&O income in India. Built around live NSE contract data, SEBI circulars, and Zerodha-style broker mechanics.
- Read any NSE futures contract specification and compute fair value from the cost of carry
- Explain exactly how SPAN, exposure, and peak margins are computed and why margin calls happen
- Use Margin Trading Facility and pledging correctly, and compute the true cost of leverage
Quantitative Finance
16 courses
Advanced Machine Learning Techniques for Trading: Ensembles and Deep Learning
A rigorous, code-first path into applying ensemble methods and deep learning to systematic trading, for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from correct labeling of market data through random forests, gradient boosting, and stacked ensembles, into recurrent networks and convolutional architectures for sequential price data, with an honest look at where deep learning helps and where it overfits. Built on real NSE and BSE data (Nifty 200, Nifty Bank, sector baskets), with Python throughout.
Advanced Options Strategies: Volatility Arbitrage and Skew Trading
A quant-grade deep dive into volatility trading: how the implied volatility surface is built from the NSE options chain, why skew and term structure exist, and how prop desks and systematic traders extract edge from them through dispersion, risk reversals, calendar spreads, and vanna-volga adjustments.
- How to construct and read the implied volatility surface from live NSE options chain data
- Why volatility skew and smile exist and how to quantify them using risk reversals and butterflies
- How to trade volatility term structure shifts around events like Budget, RBI policy, and earnings
Advanced Regime Switching Models for Strategy Allocation
A rigorous, code-first path into regime detection and regime-switching strategy allocation for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from rule-based regime flags through Hidden Markov Models, Markov-switching regression, regime-conditional strategy design, capital allocation, rigorous backtesting, and risk management through regime transitions. Built on real Nifty, Bank Nifty, and NSE data, with Python throughout.
Advanced Risk Management: Value at Risk and Stress Testing
A rigorous, formula-first treatment of Value at Risk and stress testing built for quant researcher aspirants, prop trading applicants, and systematic traders who already understand volatility and returns. Covers the three core VaR methodologies (historical simulation, parametric, and Monte Carlo), why VaR breaks down at the tails and how Expected Shortfall fixes it, how to backtest a VaR model properly, and how to build a stress testing framework using real Indian market crises like the 2008 GFC, the 2013 taper tantrum, and the 2020 COVID crash, applied to Nifty, Bank Nifty, and individual NSE stocks.
Advanced Statistical Arbitrage: Multi Factor Approaches
A rigorous, code-first path into statistical arbitrage and multi-factor investing for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from cointegration and pairs trading through basket mean-reversion, factor construction, signal combination, portfolio risk, honest backtesting, execution microstructure, and the SEBI algo-trading and tax framework that governs running this live in India. Built on real NSE and BSE data (Nifty 500 pairs, sector baskets, Kite Connect execution), with Python throughout.
Case Study: Archegos Capital's Collapse Through a Risk Management Lens
In March 2021 a single family office lost roughly USD 20 billion of its own capital in two trading days and handed its prime brokers more than USD 10 billion in losses, without ever owning most of the shares it was betting on. This case study rebuilds Archegos Capital's book, its total return swap financing, and the margin-call cascade that unwound it, then dissects every risk control that should have stopped it and did not. Built for aspiring quant researchers, prop desk applicants and systematic traders scaling up leverage, with each lesson mapped to the Indian framework: SEBI position limits, NSE margining, broker pledging rules and the concentration traps that exist on Indian exchanges too.
- Reconstruct how a USD 10 billion family office built USD 50 billion of hidden exposure using total return swaps across eight prime brokers
- Trace the March 2021 margin-call cascade day by day and explain why the fastest bank to sell lost nothing while the slowest lost USD 5.5 billion
- Diagnose the specific risk-control failures at Credit Suisse: static margining, ignored limit breaches, potential exposure blind spots and governance gaps
Case Study: Building and Scaling a Volatility Arbitrage Desk
A case study that follows a two-person Mumbai prop desk from a first delta-hedged Nifty straddle to a fifty crore volatility book. You build the pricing and Greeks toolkit, run the core short gamma book and the relative value overlays (skew, term structure, dispersion), design the risk limits and margin discipline that keep a short volatility desk alive on gap days, move from Excel to a production stack on broker APIs, and work through SEBI's F&O and algo framework, taxation, and entity structure. Every chapter closes with a case drawn from real NSE events, and every number is worked in INR on Nifty and Bank Nifty options.
- Measure the volatility risk premium on Nifty and Bank Nifty using India VIX and realized volatility estimators
- Price and risk manage an options book with a Black-76 engine and a full Greeks ladder (delta, gamma, vega, theta, vanna, volga)
- Run a delta-hedged short gamma book and attribute its P&L to theta, gamma, vega and hedging costs
Case Study: How Alternative Data Predicted Retail Earnings Surprises
An advanced case study built around Meridian Quant, a fictional Mumbai systematic fund, and its analyst Priya Nair, who is asked one question: can data that arrives before a quarter ends tell us whether DMart, Trent, Titan or V-Mart will beat or miss consensus? Each chapter is one stage of the project: mapping the retail P&L to what alternative data can actually observe, assembling an Indian data stack from GST and UPI aggregates, Google Trends, app-download panels, scraped store locators and price trackers, engineering point-in-time features, building and backtesting a revenue nowcast against Bloomberg and Refinitiv consensus, walking through three real earnings quarters where the model called a beat, called a miss, and got it wrong, and finally turning the forecast into a sized, risk-controlled event trade that survives crowding, signal decay and SEBI's insider-trading line. Built for aspiring quant researchers, prop-desk applicants and systematic traders who want to see a complete alternative-data pipeline in an Indian context, with the failures left in.
- Map an Indian retailer's P&L to the alternative datasets that can observe each line item before results are announced
- Source and clean Indian alternative data: GST and e-way bill aggregates, UPI volumes, Google Trends, app-download panels, scraped store counts and price trackers
- Engineer point-in-time features aligned to Indian fiscal quarters without look-ahead bias
Understanding Alternative Data in Quantitative Strategies
A rigorous, theory-and-practice path into alternative data for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Covers the taxonomy of alt data (web, satellite, transaction, text, supply chain), sourcing and compliance in the Indian context, feature engineering, signal research, rigorous backtesting, portfolio integration, and real Indian case studies from satellite tracking to UPI data. Built around NSE, BSE, and Indian vendor examples throughout.
Understanding Capacity Constraints and Strategy Scaling
A framework-driven look at why every trading strategy has a ceiling on how much capital it can absorb, and how quant researchers, prop desks, and systematic traders scale AUM without destroying their own edge. Covers market impact, liquidity, alpha decay, crowding, capacity estimation, scaling playbooks, and execution at scale, grounded throughout in NSE liquidity, Nifty and Bank Nifty examples, and real capacity math.
Understanding Latency, Colocation, and Infrastructure in HFT
A ground-up look at the infrastructure layer of high frequency trading: what latency actually costs, why firms pay for colocation at NSE and BSE, how SEBI regulates fair access, and the network and hardware choices that separate microseconds from milliseconds.
- How tick-to-trade latency is measured and where the time actually goes
- Why colocation at NSE and BSE exists and how SEBI regulates fair access to it
- How fiber, microwave, and FPGA hardware choices trade off cost against speed
Understanding Market Making and Liquidity Provision Strategies
A rigorous, India-grounded path into how market makers actually operate: the economics of the bid-ask spread, inventory risk, adverse selection, order book microstructure, and the regulatory framework SEBI and NSE/BSE impose on liquidity providers. Built for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book, using real Nifty, Bank Nifty, and NSE order book examples throughout.
Understanding Multi Asset Systematic Strategies
A rigorous path into building systematic strategies that span equities, fixed income, commodities, and currencies, for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from the asset universe and cross-asset correlation through trend-following, carry, value, risk parity, multi-strategy allocation, rigorous backtesting, and the operational realities of running a multi-asset book. Built on real NSE, MCX, and G-Sec data throughout.
Understanding Order Book Dynamics and Microstructure Alpha
A rigorous, code-first path into limit order book mechanics and microstructure alpha for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from order book anatomy and price formation through trade classification, price impact, and short-horizon alpha signals like order book imbalance and VPIN, all built on real NSE and BSE tick and depth data, with Python throughout.
Understanding Reinforcement Learning Applications in Trading
A rigorous, code-first path into reinforcement learning for trading, for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from framing trading as a Markov Decision Process through core RL theory, building a working trading environment in Python, and (in later chapters) training, validating, and stress-testing RL-based strategies on real NSE data.
Understanding Risk Parity and Advanced Portfolio Construction
A rigorous, formula-first path into risk parity and modern portfolio construction for quant researcher aspirants, prop trading applicants, and traders scaling a systematic book. Goes from the failures of mean-variance optimization through equal risk contribution, volatility targeting and leverage, correlation regimes, Hierarchical Risk Parity, factor risk parity, and honest backtesting, ending with a live Python build using Nifty, G-Sec, and gold data. Built entirely on Indian asset classes.
Macro & Markets
9 courses
Advanced Analysis of Sovereign Debt Sustainability
A rigorous framework for assessing whether a sovereign's debt load is sustainable, built for macro-focused investors, fund managers, and senior finance professionals who need to move past headline debt-to-GDP numbers. Covers the debt dynamics equation, the IMF-World Bank Debt Sustainability Framework, market-based risk signals like bond spreads and CDS, and the mechanics of default and restructuring. Anchored throughout in India's own fiscal position (FRBM, Finance Commission, G-Sec yields, RBI) alongside real emerging-market case studies including Sri Lanka, Zambia, and Ghana.
Advanced Frameworks for Predicting Recession and Recovery Phases
A framework-driven course on identifying where the economy sits in the business cycle and what that means for markets, built for macro-focused investors, fund managers running top-down allocation calls, and senior finance professionals. Goes from the mechanics of leading, lagging, and coincident indicators through yield curve and credit signals, real-economy recession data, recovery-phase identification, and cycle-based portfolio positioning, grounded throughout in Indian data (RBI policy, IIP, PMI, NSE sector performance) and major historical cycles.
Advanced Geopolitical Risk Modeling for Investment Decisions
A rigorous, quantitative approach to treating geopolitical risk as an investable factor rather than headline noise. Built for macro-focused investors, fund managers, and senior finance professionals, this course covers the transmission channels through which geopolitical shocks hit trade, currencies, commodities, and capital flows, how to build and use a geopolitical risk index, scenario analysis and stress-testing for portfolios, and sector- and asset-class-level sensitivities. Anchored throughout in Indian market context: India VIX, Nifty drawdowns, RBI intervention, FPI flows, and real events including Balakot, Covid-19, and the Russia-Ukraine war.
Global Macro Investing: Currency, Rates, and Cross Border Flows
An advanced course for experienced Indian investors, active traders and HNIs who want to understand the global forces that move the Nifty, the rupee and G-Sec yields. Covers how interest rates, central bank policy, currency mechanics and cross border capital flows connect, with the RBI, USD/INR, FPI flows, bond index inclusion and the US dollar cycle at the centre. Ends with a practical framework for forming a macro view and expressing it through NSE-listed products.
Understanding Currency Wars and Competitive Devaluation
An advanced, macro-focused look at how competitive devaluation actually works, built for macro investors, senior finance professionals, and fund managers who need to read currency conflict as a market signal rather than headline noise. Starts with what a currency war is and traces the lineage from the 1930s beggar-thy-neighbor devaluations through the 2010 'currency war' era of Fed QE spillovers. Goes deep into the mechanics: how central banks devalue through rate cuts, direct intervention, and jawboning, how the RBI defends the rupee using its forex reserves, whether devaluation actually fixes trade balances via the J-curve, and how the impossible trinity constrains every emerging market including India. Closes with real case studies, China's yuan management, Japan's yen and the carry trade, and how Indian markets, from IT exporters to oil importers to the Nifty itself, react when a currency war breaks out, ending in a practical framework for positioning a portfolio against currency war risk.
- Define a currency war and distinguish genuine competitive devaluation from normal exchange rate movement
- Trace the historical lineage from the 1930s devaluations to the 2010 currency war era and its QE spillovers
- Explain how central banks devalue in practice, through rate cuts, direct FX intervention, and forward guidance
Understanding Global Liquidity Cycles and Central Bank Coordination
An advanced framework for reading the global liquidity cycle, built for macro-focused investors, fund managers, and senior finance professionals who need to move past headline Fed rate calls. Covers what global liquidity actually is beyond money supply, the mechanics of the Fed balance sheet (QE, QT, reserves, RRP, TGA), how policy from the 'core four' central banks (Fed, ECB, BOJ, PBOC) transmits into FPI flows, the rupee, and Indian markets, where central banks coordinate and where they diverge, and how gold, equities, and crypto each behave as liquidity assets. Anchored throughout in Indian context: RBI's MPC, forex reserves, FPI/FII data, NSE and BSE price action, and real episodes including the 2013 taper tantrum and the 2022 global tightening cycle.
- Define the global liquidity cycle beyond simple money supply, including credit and cross-border flow proxies
- Explain Fed balance sheet mechanics, including QE, QT, reserves, the reverse repo facility, and the TGA
- Trace how Fed and other major central bank policy transmits into FPI flows, the rupee, and Indian equities
Understanding Long Term Debt Cycles, A Ray Dalio Style Framework
An advanced macro framework built for fund managers, senior finance professionals, and macro-focused investors who need to place current market conditions within the arc of a long-term debt cycle rather than just the next business cycle. Built around Ray Dalio's model from 'How the Economic Machine Works' and 'Principles for Navigating Big Debt Crises', this course covers the three forces that drive economies (productivity growth, the short-term debt cycle, and the long-term debt cycle), how debt bubbles build over decades, the mechanics of deleveraging and Dalio's four levers (austerity, default and restructuring, wealth transfer, and money printing), and what separates a 'beautiful deleveraging' from an ugly one. It works through real case studies including the US Great Depression, Weimar Germany's hyperinflation, the post-2008 US deleveraging, and Japan's lost decades, then applies the framework directly to India: the 2014-2020 bank NPA crisis, the IL&FS shadow banking shock, and where India's credit cycle stands today. The final chapter turns the framework into a practical toolkit for reading indicators and positioning a portfolio across debt cycle stages.
- Explain the three forces Ray Dalio identifies as driving all economies: productivity growth, the short-term debt cycle, and the long-term debt cycle
- Trace how debt-to-income ratios build into a long-term debt cycle bubble over decades, and identify warning signs near the top
- Describe the deleveraging process and Dalio's four levers: austerity, debt default and restructuring, wealth transfer, and money printing
Understanding Structural Shifts in Global Trade and Supply Chains
An advanced framework for macro-focused investors, fund managers, and senior finance professionals on the structural realignment of global trade and supply chains. Covers the end of hyperglobalization and its fracture points (2008, the US-China trade war, COVID, Russia-Ukraine), the new toolkit of economic statecraft (tariffs, sanctions, export controls, industrial policy), the leading indicators that signal supply chain stress before it hits earnings, the great manufacturing realignment across ASEAN, Mexico, and semiconductors, India's specific position as a China+1 beneficiary with its own import vulnerabilities, and a forward-looking scenario framework for translating these shifts into sector and portfolio decisions. Anchored throughout in Indian context: PLI schemes, NSE and BSE sector performance, RBI and commerce ministry data, and real episodes from the last two decades of trade realignment.
- Explain why the hyperglobalization era broke down, from the 2008 crisis through COVID and the Russia-Ukraine shock
- Understand tariffs, sanctions, export controls and industrial policy as tools of economic statecraft, and how markets price them
- Read supply chain stress before it hits earnings, using shipping rates, PMI new orders and inventory-to-sales data
Understanding the Interplay Between Fiscal and Monetary Policy
Fiscal policy and monetary policy are usually taught as separate subjects, but markets never react to them separately. This course builds a single framework for reading the Union Budget and the RBI's MPC decisions together, understanding how they transmit through bond yields, inflation, credit and the real economy, and using that combined signal to form a top-down macro view as an investor.
- How fiscal policy (the Union Budget, fiscal deficit, government borrowing) and monetary policy (the RBI's repo rate, OMOs, liquidity stance) actually move markets
- The transmission mechanisms linking fiscal deficits to bond yields and inflation, and repo rate changes to the real economy
- Crowding out vs crowding in, and how to tell which regime India is in at a given time
Alternative Investing
10 courses
Advanced Angel Investing: Leading Rounds and Structuring Syndicates
A practitioner course for angels ready to stop following and start leading. Covers what a lead investor actually owes the founder and the co-investors, how to build deal flow and run diligence that others can rely on, and how to price and negotiate a round from the lead's chair: valuation, option pools, instrument choice between CCPS, CCDs and iSAFE notes, and the handful of terms a lead must win. Devotes a full chapter to structuring the syndicate itself, comparing direct cap table entries, SPVs and SEBI-registered angel funds, with the carry and fee economics of each. Works through the tax, FEMA and Companies Act private placement rules that trip up Indian syndicates, then closes with life after the cheque: board and information rights, syndicate communication, bridge and down rounds, distributions, and building a repeatable syndicate with a real track record. Built for HNIs, family office investors and experienced angels who already understand term sheets and cap tables.
- Decide when you have earned the right to lead a round, and what leading costs you
- Build proprietary deal flow and run diligence that co-investors can rely on
- Write an investment memo that raises a syndicate instead of just describing a startup
Advanced Commodity Trading: Spread Trading and Roll Yield
Most commodity traders bet on direction. Professionals trade relationships: one contract month against another, gold against silver, crude against its refined products. This course treats the futures curve as a trading surface. You will decompose futures returns into spot return, roll yield and collateral yield, see why a buy-and-roll position in crude can lose money even when spot prices rise, and learn to price, size and execute calendar, inter-commodity, crack, crush and inter-exchange spreads on MCX and NCDEX. It closes with the risks that blow spreads up, the Indian tax treatment of commodity futures, and how HNIs and family offices can use commodity carry as a portfolio sleeve. Built for experienced traders and investors who already understand futures pricing and cost of carry.
- How to read the MCX futures curve and what contango and backwardation signal about supply, storage and demand
- How to decompose a commodity futures return into spot return, roll yield and collateral yield, and why roll yield dominates over long holding periods
- How to price a calendar spread against cost-of-carry fair value and spot when it is mispriced
Advanced Due Diligence Frameworks for Private Market Investments
A rigorous, India-specific playbook for diligencing private market deals and the funds that make them. Build a repeatable process from first screen to investment memo, then go deep on the four pillars that decide outcomes: the business, the numbers, the legal and regulatory position, and the people. Learn to rebuild revenue quality from GST returns and bank statements, run MCA and litigation searches, read a shareholders' agreement for the clauses that actually move money, test a startup's unit economics and a founder's background, and diligence an AIF manager on track record, fees and governance. Finish with a scoring framework, red-flag library and two full Indian case studies. Built for HNIs and family offices writing private cheques, angel syndicate leads running deals for co-investors, and experienced traders moving into unlisted assets.
Advanced Forex Strategies: Carry Trade and Interest Rate Differentials
A practitioner course on the carry trade as a strategy rather than a textbook anomaly. Built for HNIs, family office investors, active currency traders and experienced angels who already understand interest rate parity and want to know how carry is actually measured, built, sized, hedged and unwound. Covers how to read rate differentials from forward points and OIS curves, real versus nominal carry, single-pair and cross-sectional basket construction, volatility scaling, combining carry with momentum and value, and the anatomy of carry crashes from 2008 to the August 2024 yen unwind. Closes with what Indian residents can legally do under RBI's exchange-traded currency derivative rules on NSE and BSE, sizing and rollover costs, taxation, and treating unhedged offshore allocations as the implicit carry trade they are.
- Explain why carry earns a return even though uncovered interest parity says it should not
- Measure carry precisely from forward points, implied yields and carry-to-volatility ratios
- Read where rate differentials are heading from policy guidance and OIS curves
Advanced Real Estate Structuring: REITs, InvITs, and Fractional Ownership Compared
The same office park can reach you as a listed REIT unit, an InvIT-style yield vehicle, an SM REIT scheme or a legacy fractional SPV share, and each wrapper hands you a different cash flow, tax bill, governance position and exit. This course takes the structures apart layer by layer: trust, HoldCo, SPV, sponsor and manager. Learn SEBI's asset, leverage and distribution rules for REITs and InvITs, how concession-based InvIT NAVs run down, how the 2024 SM REIT framework reset fractional ownership, and how each distribution component is taxed in a unitholder's hands. Finish by comparing yield, NAV discount, rate sensitivity and exit cost across structures, and building a real asset income sleeve for an HNI or family office portfolio. Built for HNIs and family offices, angel syndicate leads, and experienced traders adding real assets.
- Trace a rupee of rent or toll from the tenant or road user, through the SPV, HoldCo and trust, to your bank account
- Apply SEBI's asset composition, leverage and sponsor rules to judge how safe a REIT or InvIT structure really is
- Explain why a concession-based InvIT's NAV runs down and value it without being fooled by a high yield
Understanding Commodity Market Manipulation and Regulatory Safeguards
An advanced course on how commodity prices get manipulated, and what stands in the way. Starts with the mechanics: corners, squeezes, spoofing, wash trades and settlement price games, and why thin, delivery-linked commodity markets are easier to push around than large-cap equities. Works through the cases that rewrote the rules, from the Hunt brothers' silver corner and Sumitomo's copper squeeze to the NSEL collapse, the 2012 guar spike on NCDEX, the JPMorgan spoofing desk and the LME nickel cancellation of 2022. Then maps India's defences in detail: the FMC to SEBI merger, the PFUTP Regulations, position limits, margins, price bands, warehousing and exchange surveillance on MCX and NCDEX. Closes with a practical toolkit for spotting manipulation in price, volume and open interest data, judging platform and counterparty risk, and knowing where aggressive trading crosses the legal line. Built for HNIs, family offices and active commodity traders who already understand futures and hedging.
- Explain why commodity markets are structurally more exposed to manipulation than large-cap equities
- Recognise corners, squeezes, spoofing, layering, wash trades and banging the close from market data
- Draw the real lessons from the Hunt brothers, Sumitomo, NSEL, guar, JPMorgan and LME nickel cases
Understanding Convertible Notes and SAFEs in Startup Investing
An advanced, India-specific deep dive into the instruments that fund most early-stage rounds before a price is set. Learn why startups delay pricing, how convertible notes, SAFEs, iSAFEs and CCDs differ, and how the Companies Act deposit rules, DPIIT recognition and FEMA shape what Indian and NRI investors can actually sign. Master the valuation cap, discount, interest and maturity terms, run full conversion maths for notes and pre-money vs post-money SAFEs, and see what happens when several convertibles stack into one priced round. Work through down rounds, shutdowns, tax treatment on conversion and exit, then read a convertible term sheet clause by clause and follow a syndicate lead's ₹50 lakh note through two rounds to exit. Built for HNI and family office investors and experienced angel syndicate leads.
Understanding Family Office Allocation to Alternative Assets
An advanced, India-specific guide to how family offices think about, size and run allocations to alternative assets. Learn what separates a single family office from a multi-family office or a promoter treasury, why long horizons and patient capital tilt these portfolios toward private markets, and how to write an investment policy statement with liquidity buckets and risk budgets. Work through the alternatives menu from the allocator's desk: PE and VC fund commitments and co-investments, private credit, real assets, Category III AIF strategies and commodity and currency hedges. Master the mechanics that decide outcomes in a private markets programme: commitment pacing, capital calls, the denominator effect, vintage diversification, manager dispersion and fee drag. Map the Indian regulatory and tax terrain across AIFs, PMS, LRS, GIFT City and holding structures, then apply it all in two full case studies. Built for HNIs and family office investors, angel syndicate leads managing co-investor capital, and experienced traders stepping into multi-asset allocation.
Understanding Forex Market Interventions by Central Banks
An advanced course on central bank currency intervention as it actually works, not as it is headlined. Built for HNIs, family office investors, active currency and commodity traders and experienced angels who already understand what moves the rupee and now want to understand the hand that leans on it. Covers why central banks intervene, the full instrument set (spot, forwards, NDFs, buy/sell swaps and verbal guidance), sterilisation and its liquidity consequences, the portfolio balance and signalling channels, reserve adequacy, and the politics of the US Treasury monitoring list. Goes deep on the RBI's managed float, its forward book and swap windows, with case studies from 2013 and 2022, then compares the SNB, Japan's Ministry of Finance, the PBoC and the Hong Kong currency board. Closes with how to read RBI data, detect intervention in real time, price and trade around it, and hedge offshore allocations when the RBI is in the market.
- Explain why a central bank intervenes and what it is actually trying to control
- Distinguish spot, forward, NDF, swap and verbal intervention and what each does to reserves and liquidity
- Trace how sterilised and unsterilised intervention flow through to money market rates and bond yields
Understanding Real Estate Private Equity and Development Financing
An advanced course on how Indian real estate projects are really funded, and where a private investor can sit in that funding. Starts with the capital stack of a development project, from land and approvals through construction and sales, and explains why developers turn to NBFCs, real estate credit AIFs and private equity when bank funding runs short. Covers the instruments in detail: construction finance, lease rental discounting, structured NCDs, mezzanine debt and preferred equity, along with the escrow, cash sweep and security structures lenders use and the RERA escrow rule that reshaped project funding. Unpacks how real estate private equity funds are built, from core to opportunistic strategies, Category II AIF structures, hurdle rates, carried interest and distribution waterfalls, and the platform deals global and domestic investors strike with Indian developers. Then works through underwriting a development deal end to end, with a full pro forma, IRR and equity multiple, and sensitivity to price, absorption and delay. Closes with risk and distress, including the 2018 to 2020 credit crunch, SWAMIH and IBC resolution, exit routes, fund due diligence, taxation of returns, and a decision checklist before committing capital. Built for HNIs, family office investors and experienced syndicate leads evaluating real estate AIFs and structured deals.
- Map every layer of a development project's capital stack and who funds each one in India
- Explain why developers pay 16 to 22 percent for private capital when banks charge far less
- Compare construction finance, LRD, structured NCDs, mezzanine debt and preferred equity
Tax & Wealth Planning
9 courses
Advanced Charitable Giving and Tax Efficient Philanthropy Structures
A practitioner-level course on how serious philanthropy actually gets structured in India: which deductions survive scrutiny, when a private foundation makes sense over ad hoc giving, and how CSR, trust law and cross-border rules interact for HNIs, business owners and family offices.
- How to claim Section 80G deductions correctly and avoid the documentation gaps that trigger scrutiny
- How CSR obligations under Section 135 interact with a business owner's personal giving and 80G claims
- When anonymous donations lose their tax shelter under Section 115BBC
Advanced Estate Planning: Cross Border Inheritance Considerations
An advanced course for high net worth individuals, business owners with complex income and family offices whose wealth, heirs or assets now span more than one country. Start with why residency, domicile and citizenship each pull in a different direction under Indian and foreign law, and what the RNOR window actually lets a returning NRI do. Work through how Indian succession law behaves when an estate crosses a border: intestate succession under personal law, will validity and probate recognition abroad, and the specific collision between forced heirship regimes overseas and testamentary freedom under Indian law. Finish with the structuring layer, trusts, power of attorney, nomination and family office governance, and what each vehicle actually achieves once more than one jurisdiction is involved. Country-specific corridors and treaty detail build on this foundation in later chapters.
- Tell residency, domicile and citizenship apart and know which one governs which decision
- Use RNOR status correctly in a cross-border wealth transfer plan
- Map a family's assets, heirs and jurisdictions before a succession event forces the issue
Advanced GST Planning for Business Owners
An advanced, India-specific GST course for owners and promoters who already file returns and now want to manage GST as a lever on margin, working capital and risk. Starting from the post-September 2025 GST 2.0 rate structure, you will work through place and time of supply, turnover thresholds, and the conditions and blocks that decide whether input tax credit is real money or a write-off. Learn to protect credit with GSTR-2B and the Invoice Management System, recover cash stuck in inverted duty structures, choose between one GSTIN and many, handle mandatory Input Service Distributor rules and value related-party supplies correctly. Then apply it to pricing and contracts, discounts and credit notes, reverse charge, exports under LUT, business transfers, bundled supplies and e-commerce TCS. Finish by building a monthly GST close, preparing for GSTR-9 and 9C, reading notices under Sections 73, 74 and 74A, calculating real exposure, and deciding when an appeal to the GST Appellate Tribunal is worth the pre-deposit.
- Map every invoice to the correct supply type, place of supply, time of supply and post-2025 rate
- Test each input tax credit against Section 16 conditions and the Section 17(5) blocked list
- Use GSTR-2B, IMS and vendor controls to stop losing credit you have already paid for
Advanced NRI Taxation: Residential Status and Global Income Rules
An advanced, India-specific course for NRIs, returning Indians, globally mobile professionals, business owners and family offices who need to get residential status right before anything else. Work through the 182-day and 60/365-day tests, the exceptions for Indians leaving for employment and visiting PIOs, the ₹15 lakh Indian-income trigger and deemed residency. Use the RNOR window deliberately when you return. Count days correctly, build year-of-departure and year-of-return timelines, and assemble the evidence the tax department asks for. Then map exactly what India can tax: income received or accruing in India, deemed accrual, NRE, NRO and FCNR interest, rent, salary and business connection, plus global income and Schedule FA once you turn resident. Finish with capital gains and TDS for NRIs: Section 195 withholding, equity and mutual fund rates after July 2024, selling Indian property, lower-deduction certificates, repatriation, refunds and the NRI return. Section references follow the Income-tax Act, 2025, with the 1961 Act equivalent shown where it helps.
- Determine residential status for any tax year using the day-count tests, exceptions and deemed residency rules
- Plan the year of departure and the year of return to use the RNOR window deliberately
- Count days of stay correctly and assemble the documents that prove your status
Advanced Tax Planning for High Net Worth Individuals
An advanced, India-specific course for high net worth individuals, business owners and family offices who have outgrown basic tax saving. Work out your real effective rate once surcharge and marginal relief kick in, and decide between the old and new regimes at high incomes. Plan capital gains at scale after the 2024 reset, harvest losses properly and use Sections 54, 54F and 54EC within their caps. Compare how direct equity, PMS, mutual funds, AIFs, debt instruments, REITs, InvITs, GIFT City funds and high-premium ULIPs are taxed. Structure how a business owner draws money out of a company or LLP, and use HUFs, gifts and private trusts without falling foul of the clubbing rules. Understand succession, inherited cost basis and family offices, then handle residency, LRS, TCS and foreign asset disclosure. Finish with GAAR, the scrutiny triggers for HNI returns, and a full-year tax plan for a ₹5 crore family.
- Calculate your true effective tax rate including surcharge, cess and marginal relief
- Plan large capital gains using harvesting, set-off and reinvestment exemptions
- Choose between direct equity, PMS, mutual funds, AIFs and other wrappers on a post-tax basis
Understanding Benami Transactions and Regulatory Risk
An advanced, India-specific course on the Prohibition of Benami Property Transactions Act, 1988, as overhauled in 2016, built for HNIs, business owners and family offices. Understand exactly what makes a transaction benami, the statutory exceptions that protect genuine family holdings, and why paying for an asset from unexplained money is the fault line. Work through the enforcement machinery from provisional attachment to confiscation, the penalties, and the Supreme Court's turn on retrospective application. See how benami risk overlaps with the income tax law on unexplained investments, the Black Money Act, PMLA and SEBI's actions against mule and name-lending demat accounts. Finish with the everyday situations where legitimate families drift into benami exposure, including property in a relative's name, promoter shares parked with associates and cash-funded purchases, and a practical framework for documenting source of funds and cleaning up legacy holdings.
- Identify the elements that make a transaction or arrangement benami under Indian law
- Apply the statutory exceptions for HUF, fiduciary and family holdings to real situations
- Trace the enforcement process from notice and provisional attachment to confiscation and appeal
Understanding Family Trusts and Succession Structuring in India
An advanced, India-specific course on private family trusts and succession structuring, built for HNIs, business owners and family offices. Understand how a private trust works under the Indian Trusts Act, 1882, the roles of settlor, trustee, beneficiary and protector, and how a trust compares with a will, an HUF and a holding company. Learn the choices that decide everything else: revocable or irrevocable, specific or discretionary, living or testamentary. Work through the tax treatment of settling assets into a trust, of income earned inside it, and of distributions to beneficiaries, including the maximum marginal rate trap for discretionary trusts and clubbing on revocable transfers. Cover the practical mechanics of drafting a trust deed, stamp duty and registration, moving listed shares, unlisted shares and property into a trust, and the SEBI and FEMA angles for promoter holdings and NRI beneficiaries. Finish with succession structures for family businesses, family constitutions, asset protection limits, the disputes that break structures, and case studies of how Indian families have planned, or failed to plan, their succession.
- Explain how a private family trust works and the legal roles of settlor, trustee, beneficiary and protector
- Choose between a will, an HUF, a holding company and a trust for a given family goal
- Distinguish revocable from irrevocable and specific from discretionary trusts, and the tax result of each
Understanding Tax Implications of ESOP Exercises and Startup Exits
An advanced, India-specific guide to the tax consequences of employee equity, built for HNIs with large ESOP holdings, founders and business owners with complex income, and family offices managing startup wealth. Master the two tax events in every ESOP, perquisite tax at exercise and capital gains at sale, and the fair market value, cost and holding period rules that decide how much each one costs you. Learn to time an exercise, fund tax on gains you have not yet received, and use the eligible startup deferral correctly. Work through every major exit route, from buybacks taxed as deemed dividend and secondary sales to investors, to acquisitions with share swaps, earn-outs and escrows, and IPOs followed by a sale on NSE or BSE. Handle foreign parent RSUs, Schedule FA reporting, foreign tax credit and residency changes mid-vesting. Finish with planning for large gains: surcharge caps, loss set-off, reinvesting exit proceeds in a house, gifting shares to family and trusts, and a case study of one ₹5 crore exit with three very different tax outcomes.
- Calculate perquisite tax at exercise and capital gains at sale for listed, unlisted and foreign shares
- Apply fair market value, cost of acquisition and holding period rules without the common errors
- Decide when to exercise and how to fund tax on gains that are still on paper
Understanding Tax Implications of Overseas Investments Under LRS
An advanced, India-specific course for HNIs, business owners and family offices who invest abroad under the Liberalised Remittance Scheme and need to get every rupee of tax and every disclosure right. Start with how LRS works, the USD 250,000 annual limit, what the Overseas Investment Rules 2022 permit and how the OPI vs ODI distinction shapes your tax position. Understand TCS on outward remittances, why it is a prepaid tax and not a cost, and how to plan remittances across family members and financial years. Work through the taxation of foreign shares, international funds and ETFs, dividends, interest, RSUs, ESPPs and overseas property, including currency conversion rules. Claim foreign tax credit correctly through DTAAs and Form 67, and avoid withholding and US estate tax traps. Master Schedule FA, FSI, TR and AL, understand Black Money Act exposure and handle residential status changes. Finish with holding structures, succession planning for foreign assets and a full case study of one family's global portfolio from remittance to ITR.
- Use the LRS limit and the Overseas Investment Rules 2022 to invest abroad through the right route
- Plan remittances so TCS is recovered in full and never becomes a permanent cost
- Compute tax on foreign shares, funds, dividends, RSUs, ESPPs and overseas property in INR
Forensic Accounting & Compliance
1 course
Deep Dive into Financial Statement Fraud and Forensic Red Flags
A forensic course for investors who already read financial statements and now want to catch the ones that lie. Learn how Indian listed companies inflate revenue, hide expenses, fake cash, and dress up balance sheets, and how to detect it using annual report notes, auditor reports, BSE/NSE filings, screener.in data, and quantitative screens like the Beneish M-Score. Built on real Indian cases: Satyam, Manpasand Beverages, Brightcom, Gitanjali Gems, CG Power, DHFL, Ricoh India, and more.
- Why companies commit accounting fraud and where the pressure points sit in Indian promoter-led firms
- How revenue gets inflated through channel stuffing, round-tripping, and fake customers, and how to test it against receivables and cash
- How expenses get parked in the balance sheet through capitalisation, inventory games, and related party structures