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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.
MODULES
9
DURATION
~6.9 hrs
TRACK
Quantitative Finance
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates
Curriculum Breakdown
Chapter 1: Why Markets Have Regimes
4 Lessons▶
Why One Strategy Never Works Forever: The Case for Regime Awareness9 min read
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Anatomy of a Regime: Trend, Volatility, and Correlation Shifts10 min read
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Regimes in Indian Markets: 2008, 2020, and the 2022 Rate-Hike Cycle11 min read
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Regime Persistence vs Regime Noise: How Long Do Regimes Actually Last?9 min read
Chapter 2: Detecting Regimes: From Rules to Statistics
4 Lessons▶
Rule-Based Regime Flags: Moving Averages and India VIX Thresholds10 min read
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Rolling Volatility and Drawdown as Regime Signals9 min read
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Why Rule-Based Detection Breaks Down: Whipsaws and Arbitrary Thresholds10 min read
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From Rules to Probabilities: An Introduction to Statistical Regime Models10 min read
Chapter 3: Hidden Markov Models for Regime Identification
5 Lessons▶
Hidden Markov Models Explained: States You Can't See, Data You Can11 min read
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Transition Matrices and Emission Distributions on Nifty Returns12 min read
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The Viterbi Algorithm: Decoding the Most Likely Regime Path11 min read
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Fitting an HMM in Python with hmmlearn on Nifty 50 Data13 min read
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Choosing the Number of Regimes: AIC, BIC, and Economic Sense10 min read
Chapter 4: Markov Switching Regression Models
4 LessonsChapter 5: Regime-Conditional Strategy Design
5 Lessons▶
Why Momentum and Mean Reversion Can't Share One Rulebook9 min read
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Matching Strategies to Regimes: A Practical Framework10 min read
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Case Study: Switching Between Momentum and Mean Reversion on Nifty 50 Stocks12 min read
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Volatility Strategies Across Regimes: Options Selling vs Options Buying11 min read
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Building a Regime-Strategy Compatibility Matrix9 min read
Chapter 6: Portfolio and Capital Allocation Across Regimes
4 LessonsChapter 7: Backtesting Regime-Switching Systems Rigorously
5 Lessons▶
Look-Ahead Bias in Regime Labels: The Silent Backtest Killer10 min read
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Walk-Forward Validation for Regime-Switching Strategies11 min read
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Regime Detection Lag: Why Your Model Is Always a Little Late9 min read
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In-Sample Overfitting: How Many Regimes Is Too Many?10 min read
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Case Study: Backtesting a Regime-Switching System on Nifty 50, 2015 to 202413 min read
Chapter 8: Risk Management Through Regime Transitions
4 LessonsChapter 9: Capstone: Building a Complete Regime-Switching Allocation System
4 Lessons▶
System Architecture: Wiring Detection, Strategy Selection, and Allocation Together10 min read
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Building the Complete Pipeline in Python on NSE Data13 min read
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Stress-Testing the System Across 2008, 2020, and 202212 min read
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From Backtest to Paper Trading: Operationalizing a Regime-Switching System11 min read