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Case Study: Comparing Buy and Hold vs a Simple Systematic Strategy

A hands-on case study for coders, engineers and quant-curious investors who want to know whether a simple rule can actually beat doing nothing. You will take two clearly defined approaches, buying and holding the Nifty 50 through an index fund, and a 200-day moving average rule that moves between the Nifty 50 and a liquid fund, and put them through the same test on the same Indian data. Along the way you will learn why the Total Return Index matters, how to build both equity curves in Python, how to read CAGR, drawdown, Sharpe and time under water without fooling yourself, and how brokerage, STT, exit loads, capital gains tax and whipsaws change the verdict. The course ends with an honest scorecard and a framework you can reuse to judge any strategy against buy and hold.

Buy and HoldSystematic InvestingMoving Average RulesNifty 50 Total Return IndexBacktestingDrawdowns and Sharpe RatioTransaction CostsCapital Gains Tax

MODULES

4

DURATION

~2.5 hrs

TRACK

Quantitative Finance

What You'll Master

What buy and hold actually commits you to, and why most investors who claim to follow it do not

What separates a systematic strategy from a hunch: a written rule, a signal, a schedule and no discretion

How to set up a fair comparison with the same data, the same period, the same starting capital and no cherry-picking

Why the Nifty 50 Total Return Index, not the price index, is the correct benchmark for any Indian equity backtest

How to build a buy and hold equity curve and a 200-day moving average switching curve in Python with pandas

How to read CAGR, volatility, maximum drawdown, time under water, Sharpe, Sortino and Calmar without being misled

How brokerage, STT, expense ratios, exit loads and Indian capital gains tax change the ranking between the two approaches

How to recognise whipsaw losses and behavioural failure points, and decide which approach you can actually stick to

Access Level

LEARNER

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Everything included

Full Text Playbooks

Actionable Exercises

Mobile Reading Mode

Lifetime Updates

Curriculum Breakdown

Chapter 1: Framing the Contest

4 Lessons

Buy and Hold: What It Really Means and Why It Is Harder Than It Sounds9 min read

What Makes a Strategy Systematic: Rules, Signals and Zero Discretion9 min read

Case Study Brief: Nifty 50 Buy and Hold vs a 200-Day Moving Average Rule10 min read

How to Judge a Fair Fight: Benchmarks, Periods and Cherry-Picking9 min read

Chapter 2: Building Both Portfolios in Python

4 Lessons

Sourcing Nifty 50 Data: Price Index vs Total Return Index10 min read

Simulating Buy and Hold: Lump Sum, SIP, Dividends and Expense Ratios10 min read

Coding the 200-Day Moving Average Switching Rule11 min read

Case Study: The Two Equity Curves Side by Side10 min read

Chapter 3: Measuring What Actually Matters

4 Lessons

CAGR Is Not Enough: Volatility, Drawdown and Time Under Water10 min read

Risk-Adjusted Returns: Sharpe, Sortino and Calmar in Plain Terms10 min read

Time in the Market vs Timing the Market: Where the Rule Wins and Loses10 min read

Case Study: Reading the Scorecard Across 2008, 2020 and the Sideways Years11 min read

Chapter 4: Real-World Frictions and the Verdict

4 Lessons

Indian Trading Costs: Brokerage, STT, Exit Loads and Tracking Error10 min read

Taxes Change the Answer: LTCG, STCG and the Cost of Every Switch10 min read

Whipsaws and Behaviour: The Hidden Cost of Following a Rule9 min read

Case Study: The Final Verdict and How to Decide for Yourself11 min read