Beginner
Introduction to Systematic Trading vs Discretionary Trading
A clear, jargon-free comparison of the two ways to trade markets: by written rules that are tested and executed the same way every time, or by human judgement applied trade by trade. Built for engineering graduates and coders curious about quant work, and for active traders who want to know whether their process should be systematized. Covers what each style actually is, how a systematic rule is written and backtested, what human discretion does well and badly, how to compare the two honestly on returns, risk, costs and scalability in Indian markets, and how to pick the path that fits your temperament, time and capital. Uses NSE and BSE examples throughout, with real Indian tools and cost structures.
Systematic TradingDiscretionary TradingTrading Rules and BacktestingBehavioural Biases in TradingPerformance MeasurementTransaction Costs in IndiaTrading Process Design
MODULES
5
DURATION
~3.5 hrs
TRACK
Quantitative Finance
What You'll Master
What separates a systematic trader from a discretionary one, and why 'algorithmic' and 'systematic' are not the same thing
How a trading idea becomes a written rule with a universe, signal, entry, exit and position size, and how that rule is backtested
What backtests can and cannot tell you, and the ways both styles fool themselves: overfitting on one side, hindsight bias on the other
Where human judgement genuinely beats rules, such as events, illiquid names and regime shifts, and where it quietly loses money through fatigue and inconsistency
How to compare the two styles on Sharpe ratio, drawdown, hit rate, costs and capacity using Indian market cost structures like STT, brokerage and impact cost
How to decide which style fits your temperament, skills, time and capital, including the hybrid path of systematizing a discretionary process
Which Indian tools support each path: Zerodha Kite Connect, Streak, TradingView, screener.in and Python
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates
Curriculum Breakdown
Chapter 1: Two Ways to Trade the Same Market
4 LessonsChapter 2: How a Systematic Strategy Is Built
4 Lessons▶
From Hunch to Hypothesis: Turning a Trading Idea into a Testable Rule10 min read
▶
Anatomy of a Trading Rule: Universe, Signal, Entry, Exit and Sizing11 min read
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Backtesting: What It Can and Cannot Tell You11 min read
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Case Study: Writing a 50-Day and 200-Day Moving Average Rule for Nifty 50 Stocks12 min read
Chapter 3: The Discretionary Edge and Its Hidden Costs
4 Lessons▶
Pattern Recognition, Context and Tacit Knowledge: What Humans Do Well10 min read
▶
Where Discretion Beats Rules: Events, Illiquid Stocks and Regime Shifts10 min read
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The Discretionary Trader's Hidden Costs: Bias, Fatigue and Inconsistency10 min read
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Case Study: Budget Day 2024, When the Rules Changed Mid-Session11 min read
Chapter 4: Comparing the Two Styles Honestly
4 LessonsChapter 5: Choosing Your Path
4 Lessons▶
Which Style Fits You? Temperament, Time, Skills and Capital10 min read
▶
The Hybrid Path: Systematizing a Discretionary Process10 min read
▶
Tools of the Trade in India: Kite Connect, Streak, TradingView, screener.in and Python10 min read
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Your 90-Day Plan: From Reader to Trader with a Process10 min read