Teaching Roadmap

Trend Following Trading Education
Curriculum Map

A structured progression from foundations through advanced rule-based strategy โ€” designed for college students with no prior trading experience.

Core curriculum
Recommended addition
Weave throughout
01
Foundations of Markets & the Trend-Following Mindset Core
6 topics ยท Why markets trend and how trend-followers think
โ–พ
๐Ÿ“ˆ
What is a financial market?
Price discovery, buyers & sellers, market participants
๐ŸŒŠ
Why do trends exist?
Behavioral finance, momentum, institutional flow
๐Ÿงญ
Market structure & macro context
Bull/bear cycles, volatility regimes, rate environments โ€” when trend-following works and why
๐Ÿง 
Trading psychology โ€” Part I
FOMO, revenge trading, process vs. outcome quality โ€” before real money is on the line
๐Ÿ“‹
Rules-based vs. discretionary trading
Why systematic approaches reduce emotional decision-making
๐Ÿ—‚๏ธ
Reading a price chart
OHLC bars, candlesticks, volume, timeframes
Instructor note: Introduce psychology and macro context here rather than saving them for the end โ€” they're foundational filters for everything that follows. A student who understands why environments matter won't confuse a bad market with a bad strategy.
02
Asset Classes & Instruments Core
5 topics ยท What you can trade and how each market behaves
โ–พ
๐Ÿข
Equities (stocks)
Common shares, sectors, market cap; how equities trend
๐Ÿ”ฎ
Futures & commodities
Contract specs, roll, why Turtle traders used futures
๐Ÿ’ฑ
Forex
Currency pairs, 24-hour market structure, carry
๐Ÿ’Ž
ETFs & index products
Diversification, leveraged ETFs, sector rotation
๐Ÿ”—
Crypto & digital assets
High-volatility trending markets; unique risks
Instructor note: Anchor each asset class to its trend-following characteristics โ€” not just what it is. Ask students: "Would a 20-day breakout strategy work on bonds the same way it works on commodities? Why or why not?"
03
Screening & Opportunity Identification Core
5 topics ยท How to find trades before they happen
โ–พ
๐Ÿ”
Technical indicators for screening
Moving averages, ATR, RSI โ€” as filters, not signals
๐Ÿ“Š
Relative strength ranking
Identifying leaders vs. laggards within a universe
๐Ÿ—๏ธ
Chart pattern recognition
Bases, consolidations, VCP (Volatility Contraction Pattern)
๐Ÿ“ฐ
Fundamental catalysts
Earnings, revenue growth โ€” the SEPA approach to fundamentals
๐Ÿ› ๏ธ
Building a watchlist
Daily scanning routine, tools (Finviz, TradingView, TC2000)
Instructor note: Reinforce that screening is about narrowing the universe to high-probability setups โ€” not predicting the future. Have students build and maintain a live watchlist throughout the course.
04
Entry, Exit, Profit-Taking & Stop-Loss Core
6 topics ยท The mechanics of getting in and out correctly
โ–พ
๐Ÿšช
Entry triggers
Breakouts, pullbacks, pivot points; confirming volume
๐Ÿ›‘
Initial stop-loss placement
ATR-based stops, chart-based stops, fixed-percentage stops
๐Ÿ“
Position sizing at entry
Calculating shares based on stop distance and risk per trade
๐Ÿ”’
Trailing stops
Locking in gains as price advances; N-based (Turtle) trailing
๐Ÿ’ฐ
Partial profit-taking
Scaling out at targets vs. letting runners run the full trend
๐Ÿšซ
Full exits
Closing rules: channel breakdowns, system signals, earnings risk
Instructor note: The most common student mistake is inconsistency between planned and executed stops. Role-play the decision under simulated drawdown to make it visceral before it's real.
05
Risk Management & Portfolio Construction Core
6 topics ยท Surviving long enough to let the edge play out
โ–พ
โš–๏ธ
Risk per trade (R)
Defining R, sizing every trade to a fixed fraction of capital
๐Ÿ“‰
Drawdown & recovery math
Why a 50% loss requires a 100% gain to recover; expectancy
๐ŸŽฒ
Correlation & diversification
Avoiding concentrated bets; sector & asset class correlation
๐Ÿ“ฆ
Portfolio heat
Total risk across all open positions; max concurrent exposure
๐Ÿ”
Adding to winners (pyramiding)
Unit-based scaling; Turtle System 2 unit methodology
๐Ÿงฏ
Max loss rules & circuit breakers
Daily, weekly, monthly loss limits; when to stop trading
Instructor note: Make students do the drawdown math by hand. The moment they calculate that a 40% drawdown requires a 67% recovery gain is often the moment risk management clicks emotionally โ€” not just intellectually.
06
Trend-Following Strategy Systems Core
3 systems ยท Complete rule sets for the Turtle, SEPA, and Donchian approaches
โ–พ
๐Ÿข
Turtle System 2
55-day breakout entry, 20-day exit, N-based stops & sizing, unit pyramiding, correlation limits
๐ŸŒฑ
SEPA (Minervini)
Trend template, Stage 2 analysis, VCP pattern, fundamental + technical confluence, tight stop discipline
๐Ÿ“
Donchian Channel System
N-day high/low channels for entry & exit, ATR sizing, how it relates to Turtle System 1
Instructor note: Present all three systems side by side after students have internalized Modules 1โ€“5. They'll see that the systems differ mainly in their universe and holding period โ€” not in their underlying logic. Assign a paper-trade project where each student picks one system and follows it for 4 weeks.
07
Advanced Topics Most Curricula Skip Recommended additions
4 topics ยท The details that separate students who succeed from students who quit
โ–พ
๐Ÿ”ฌ
Backtesting & system validation
Running historical tests, avoiding overfitting, walk-forward testing, not deceiving yourself with cherry-picked parameters
๐Ÿง˜
Trading psychology โ€” Part II
Managing real-money loss, overconfidence after wins, following the system when it's losing, journaling practice
๐Ÿ’ธ
Transaction costs, taxes & account rules
PDT rule, short-term vs. long-term capital gains, commissions & slippage, margin requirements โ€” all of which eat trend-following returns
๐ŸŒ
Macro environment & strategy fitness
Identifying when your system is likely to underperform; adapting position sizing (not rules) to regime; distinguishing bad luck from bad process
Instructor note: The PDT rule alone will shock most beginners โ€” surface it early rather than at the end. For backtesting, the real lesson isn't mechanics: it's building the habit of asking "Am I fooling myself?" before committing real capital to a system.
๐Ÿ’ก
Sequencing note: Psychology and macro context are listed in Module 1 and woven throughout, rather than saved for Module 7. Students who haven't experienced real losses need these frameworks before they build habits around the mechanics โ€” not after. Consider revisiting them briefly at the start of each subsequent module.