The full teaching catalogue. Every volume, every worksheet, every gate quiz — listed and sequenced.

01

Foundation Track

Before you develop a strategy, you need a language. Stage 1 gives you the complete vocabulary and mental operating system of a serious trader.

₹14,999

Five Volumes · ~6 hours main + bonuses

1. Volume 1 — Market Mechanics: how Indian equity markets actually work
2. Volume 2 — Reading Price: candlesticks, charts, timeframes
3. Volume 3 — Market Structure: trends, Dow Theory, Wyckoff
4. Volume 4 — Patterns & Indicators: classical signals
5. Volume 5 — Risk, Psychology & Process (Stage 1 capstone)

What you walk away with

• Map the full Indian-equity plumbing: NSE/BSE, T+1 settlement, clearing corporations, lot sizes, STT/GST, circuit filters
• Read a candlestick as a unit of information: open, high, low, close as a structured record of one period's disagreement
• Identify trends, ranges, and the geometry of price using the Dow and Wyckoff frameworks
• Recognise the named classical patterns and indicators (head-and-shoulders, double tops, RSI, MACD) and their original definitions
• Build the position-sizing math, the trade journal system, and the 30-day practice plan that bridges theory and execution
• Dismantle FOMO and revenge trading through structured psychological protocols

Students who complete Stage 1 report a measurable shift in how they see a chart. They stop looking for signals. They start reading stories.

What becomes possible once your foundation is solid? That is exactly what Stage 2 answers.

02

Systematic Trader

You know how to read a chart. Stage 2 teaches you how to act on it consistently, using structured indicator frameworks and repeatable setup logic.

₹19,999

Five Volumes · ~6 hours main + bonuses

1. Volume 1 — From Discretion to System
2. Volume 2 — Setup Library (10 canonical setups)
3. Volume 3 — Multi-Timeframe & Regime Filters
4. Volume 4 — Weekly Review: Journal, Grades, Metrics, Bayesian Inference
5. Volume 5 — Execution Mechanics (Stage 2 capstone)

What you walk away with

• Move from gut-feel discretion to a documented seven-field system: edge hypothesis, regime applicability, entry trigger, exit, stop, size, kill-switch
• Build a 10-setup playbook covering long-side and short-side setups across trending, ranging, and breakout regimes
• Apply multi-timeframe alignment + regime filters so the same setup is traded only in the conditions where it works
• Run a weekly review ritual that grades trades on process (A/B/C), not outcome, and uses Bayesian inference to update edge estimates
• Design a setup with documented entry criteria, stop placement, target logic, and position size before you ever touch a trade
• Master Indian-market execution mechanics: order types, slippage budgeting, expiry-week behaviour, lot-size mechanics

By the end of Stage 2, you are not guessing at entries. You are operating a defined process. That operating standard is the precondition for the kind of consistency earlier attempts lacked.

Most traders stop here. The ones who do not are the ones you will eventually read about.

03

Professional Edge

Stage 3 is where frameworks become conviction. You are no longer learning methodologies. You are thinking in them.

₹29,999

Five Volumes · ~6 hours main + bonuses

1. Volume 1 — Statistical Validation of Trading Edge
2. Volume 2 — Advanced Risk Management: Kelly, VaR, Ruin Probability
3. Volume 3 — Psychology at Scale: Institutional Rituals
4. Volume 4 — Execution Science: VWAP, TWAP, POV, IS
5. Volume 5 — Multi-System Portfolio Construction

What you walk away with

• Identify a clean demand zone on any timeframe in under 90 seconds using supply and demand methodology
• Read Wyckoff accumulation and distribution phases in live market context: spring, upthrust, and composite man logic
• Count Elliott Wave impulse and corrective structures with confidence and apply them to live trade decisions
• Measure harmonic patterns including Gartley, Bat, Butterfly, and Crab with precision entry and stop logic
• Grade trade setups by confluence score so you trade only when the weight of evidence is decisively in your favour
• Backtest a strategy with statistical integrity: measure expectancy, R-multiple average, and maximum drawdown
• Build a professional playbook that you version and refine like a system, not a notebook

By the end of Stage 3, you are not just studying price action. You are thinking in it. The market speaks a language you now understand at a level most retail traders never reach.

At this stage, the gap between you and institutional traders has one name: quantitative thinking.

04

Mastery: Quantitative Edge

Discretionary trading has a ceiling. Stage 4 breaks through it by teaching you to build, test, and validate strategies with code and data.

₹39,999

Five Volumes · ~6 hours main + bonuses · Institutional researcher faculty

1. Volume 1 — The Quantitative Research Workflow
2. Volume 2 — Backtesting Foundations in Python
3. Volume 3 — Time-Series Econometrics: ARIMA, GARCH, Cointegration
4. Volume 4 — Machine Learning for Trading
5. Volume 5 — Advanced Validation: PBO, DSR, CPCV

What you walk away with

• Write Pine Script strategies on TradingView and read your backtest results with statistical literacy
• Use Python with pandas and numpy to analyse market data and build custom backtesting frameworks
• Design scanners on TradingView and Chartink that surface high-probability setups daily without manual screening
• Apply institutional-grade quantitative research methodology: document and validate strategies the way institutional analysts do
• Build factor-based ranking models, regime detection logic, and model-driven decision frameworks
• Measure your strategy's true edge: Sharpe ratio, maximum drawdown, win rate in context, and expectancy

Stage 4 graduates do not ask whether their strategy has an edge. They have already measured it. They know their numbers. That certainty changes how they trade.

05

Mastery: Systems Architect

A strategy that lives only in a spreadsheet is not a system. Stage 5 teaches you to build one that runs on its own.

₹49,999

Five Volumes · ~6 hours main + bonuses · On-camera Senior Quant Engineer

1. Volume 1 — Research to Production: Git, Tests, Tooling, Structure
2. Volume 2 — Event-Driven Architecture for Trading Systems
3. Volume 3 — Broker Integration with Zerodha Kite Connect
4. Volume 4 — Deployment Infrastructure: Docker, Cloud, Monitoring
5. Volume 5 — Live Deployment Playbook · Stage 5 Capstone

What you walk away with

• Integrate Zerodha Kite, Upstox, and AngelOne SmartAPI end to end: authentication, order routing, and live data streams
• Build an automated scanner that generates buy and sell signals without any manual input
• Apply walk-forward testing and parameter stability analysis to ensure your strategy holds up outside the backtest window
• Implement portfolio-level risk controls: correlation limits, drawdown triggers, and capital allocation rules
• Use regime detection to identify whether the market is trending, ranging, or volatile and switch strategy behaviour accordingly
• Automate order placement, modification, and exit logic via broker API with full logging and error handling

By the end of Stage 5, you have a working automated trading system connected to a live broker. You are no longer a trader who uses a computer. You are a systems architect who builds trading infrastructure.

06

Mastery: Institutional Elite

Stage 6 is where everything comes together. You deploy a live system, apply institutional risk models, and complete a peer-reviewed capstone under the academy's mentorship panel.

₹59,999

Five Volumes · ~6 hours main + bonuses · On-camera Institutional PM + CRO inserts

1. Volume 1 — Portfolio Construction at Scale: Markowitz, Risk Parity, HRP, Black-Litterman
2. Volume 2 — Execution at Scale: Market Impact, Dark Pools, Institutional TCA
3. Volume 3 — The Buy-Side Workflow: Research, IC, Trade Lists, Attribution
4. Volume 4 — Institutional Risk Management: VaR, ES, Stress Tests, Governance
5. Volume 5 — Capital Raising & The Career Arc · Curriculum Capstone

What you walk away with

• Build a complete trading bot architecture: signal generation, order execution, position management, and automated reporting
• Apply hedge fund risk models including Kelly Criterion position sizing and Value at Risk concepts to a real portfolio
• Use volatility targeting to adjust system exposure dynamically based on market conditions
• Automate options strategy frameworks including delta-neutral structures and programmatic spread adjustments
• Understand market microstructure: order book dynamics, liquidity layers, and bid-ask spread behaviour
• Complete a capstone project: design, backtest, deploy, monitor, and present a full institutional-grade trading system
• Peer-reviewed capstone under the academy's mentorship panel, covering your system design, strategy edge, and operating standards

Stage 6 graduates do not describe themselves as traders. They describe themselves as systematic operators. They have built something that works with or without them sitting at a screen. That is what institutional-grade means.